Unable to fetch posts or feed is empty.
Dr. Mark Thornton, senior fellow at the Mises Institute, shares his thoughts on the gold price, outlining its key drivers and explaining why it's gone down since the Iran war began.
He also weighs in on the US economy and discusses growing issues in private credit.
Don’t forget to follow us @INN_Resource for real-time updates!
Securities Disclosure: I, Charlotte McLeod, hold no direct investment interest in any company mentioned in this article.

Silver achieved the hitherto unthinkable feat of triple-digit prices in the first quarter of 2026.
The rise came as the silver market benefited from both expanding industrial uses and strong safe-haven demand. However, economic and geopolitical uncertainty brought about by the US-Iran war, as well as US monetary policy shifts, injected more volatility and downward momentum into silver’s price movements as Q1 continued.
Unpredictable headwinds aside, the basic fundamentals of the silver market remain bullish for the precious metal’s long-term outlook. Here's what happened to silver in the year's first quarter.
Silver shattered its record high of US$49.95 in October 2025.
For much of the remainder of the year, the price of silver was on an uptrend, and at the open of 2026 it was trading at US$74.02. That represents a more than 150 percent increase from silver’s price at the start of 2025.
By January 14, the white metal’s value had risen to a new all-time high of US$92.20, up by nearly 25 percent in less than two weeks. The price of silver continued to soar during the second half of January, surging past US$100 and into triple-digit territory on January 26, as rising high as US$116.67 that day.
The precious metal achieved its current all-time high of US$121.62 a few days later on January 29.

Much of silver's gains for the month of January were wiped out on February 2, with the white metal falling by 35 percent from its peak to US$71. The rapid decline came on the back of US President Donald Trump’s nomination of the hawkish Kevin Warsh to replace Jerome Powell as chair of the Federal Reserve.
However, by February 11 the price of silver had regained some ground, rising back up to the US$86 level. Much of the rest of February saw silver see-saw amid significant price swings.
The metal was back down to US$78.24 by February 18, and then back up to US$94.14 on February 27.
The first half of March brought more stability to the silver price as the metal for the most part stayed trading in the US$82 to US$88 range. But the second half of the month was a different story. By mid-March, silver had once again encountered a steep downward trend as the US-Iran war’s impact on oil prices and inflation began to dampen demand for precious metals. By the March 23 trading session, silver had fallen as low as US$61.
At the close of the month, silver had climbed back up to US$75.15.
Even more so than his first term in office, Trump has become a wild card in geopolitics and the global economy.
Whether it be capturing heads of state in Venezuela, threatening the annexation of Greenland, sparking a worldwide tariff war or warring with Iran and the Fed, the decisions made by the White House have had an oversized impact on commodities markets since Trump took the helm in the US again.
Early in Q1, his feud with the Fed stoked concerns over the central bank's independence and raised expectations of lower interest rates, both of which weakened the US dollar and strengthened safe havens.
Prior to the breakout of the US-Iran war, silver was on a clear path into triple-digit territory, with calls that the metal could go even higher by the end of the year. It seemed certain that the Fed would see fit to lower rates in the second half of the year on a weakening labor market, rising national debt and an inflation rate within sight of its target.
Even though Trump’s nomination of Warsh as the next Fed head caused a course correction for silver in early February, the consensus among analysts was that the Fed would have no choice but to lower rates. The prevailing view was that gold and silver’s deep price correction at the time was a normal and healthy event in the next leg of the current bull cycle, and that both metals would quickly regain that ground in the weeks and months ahead.
Throwing a wrench in the works was another event happening at the same time — namely the escalation of tensions between the US, Israel and Iran, which broke out into a full-on regional war in the Middle East in early March.
At first, the geopolitical upheaval sent investors flocking to gold and silver as safe-haven assets, pushing silver back up near triple-digit territory. However, the price spikes were short-lived — profit taking soon set in, as did rising oil prices once the conflict began impacting shipping through the Strait of Hormuz.
Rania Gule, senior market analyst at XS.com, sees the geopolitical forces playing out in the Middle East as the most complex factor currently impacting the silver sector.
“In theory, such tensions should boost demand for safe-haven assets, including silver. However, the current reality presents a clear paradox: precious metals are not fully benefiting from these conditions,” explained Gule in a late March note on the market shared with the Investing News Network (INN). “In my view, the primary reason lies in rising energy prices, which in turn influence global monetary policy expectations. As inflation increases due to higher energy costs, central banks become less inclined to cut interest rates and may instead maintain tighter policies for longer.”
As oil is priced in US dollars, this strengthened the greenback, making gold and silver more expensive for international buyers. At the same time, the risk of higher inflation the longer the war drags on caused the Fed to hold rates steady for the second time this year, also putting to rest any notion of rate cuts in 2026.
The perfect storm set gold and silver prices on course for another historic single-day slide on March 23.
“This shift in monetary expectations places direct pressure on silver, as it is a non-yielding asset. In such an environment, investors tend to favor income-generating assets like bonds or even the dollar itself over precious metals,” said Gule. “As a result, I see silver currently caught between two opposing forces: theoretical support from geopolitical tensions and tangible pressure from tight monetary policy.”
On the flip side, Chen Lin of Lin Asset Management sees the current silver price environment as one of short-term pain for long-term gain. Speaking during the Silver in Focus roundtable discussion, presented by INN during the March Kinvestor Mining & Energy Virtual Investor Conference, Lin explained that one of the purposes of precious metals like silver is to store wealth in order to buy what you need in times of an emergency.
“In the short term, as we see war goes on, people will sell gold ... to feed (their) family,” he said. “(This is) especially true in Dubai, especially true in India. In India we see the biggest selling ... because they depend on Middle East oil and gas and they need to feed themselves — they don't even have fertilizer for the spring (planting season)."
The elephant in the room for Lin is the US$39 trillion US national debt, which continues to grow at a rate of US$2 trillion per year. In his view, the US-Iran war will increase that debt load, and the interest paid to service that debt will also increase, placing further pressure on the Fed to lower rates down the road.
“This will really benefit gold and silver in the long run,” said Lin.
Although its value as an investment metal has grown in recent years, silver’s industrial demand has skyrocketed as well. The white metal's exceptional electrical and thermal conductivity make it highly suited for a vast number of uses in modern technology such as solar panels, artificial intelligence (AI) infrastructure and electric vehicles.
Peter Krauth, editor of Silver Stock Investor and Silver Advisor, also participated in the Silver in Focus roundtable, where he shared his thoughts on how new industrial uses for silver are shaping the investment thesis for the metal.
Krauth pointed out that over the past five years, silver demand from industrial uses has climbed a full third, rising from 50 percent to about 65 to 67 percent. “In types of applications, silver is the second most-used commodity after oil. It has something like 10,000 different applications,” the expert explained.
“The interesting thing to point out is not only is industrial demand requiring more, but what that does is it squeezes out the available silver for investment demand,” he added. “So if you think about five years ago, when half of silver went to industry, the other half was available for investment. Now today only a third is available.”
This scenario has been price positive for silver, and explains how the January high occurred as silver investment increased rapidly and squeezed demand, Krauth told listeners at the online event.
On the other hand, as an industrial metal, the silver price is also subject to the whims of market drivers behind the sectors it services. “(Silver’s) price movements remain more sensitive to economic fluctuations compared to gold, given its dual role as both an investment asset and an industrial metal,” said Gule.
For example, hits to AI sector in February, which brought a dramatic drop in the share price values of chipmakers and AI tech firms, also added downward pressure to the silver price.
In addition, higher silver prices over the past year have increased manufacturing costs for solar panel makers, leading the firms to look for alternatives such as copper, or to pursue thrifting, a practice that involves limiting the amount of silver used in the manufacturing process.
On the supply side, silver is in a multi-year deficit, and it takes about a decade to bring a new silver discovery through to production. Released in February, the Silver Institute's latest forecast, based on analysis by consultancy Metals Focus, projects a 67 million ounce silver shortfall in 2026, with total demand outstripping total supply.
This deficit is why some of the world’s biggest economies have designated silver as a critical mineral.
As of January 1, China has expanded its restrictions on silver exports in an effort to secure domestic supply for key industries. China is the world’s second largest silver producer, producing 3,400 metric tons of the metal in 2025. The Asian naion also hosts the third largest silver reserves at 67,000 metric tons.
Last year, the US added silver to its critical minerals list, citing the precious metal's important role in manufacturing advanced energy and defense technologies. While still among the 10 largest silver-producing nations, US production amounted to 1,100 metric tons last year, up only 50 metric tons from the previous year. At the same time, the country imported 7,600 metric tons of the metal compared to 4,430 metric tons in 2025.
For Alex Ebkarian, co-founder of Allegiance Gold, the move to secure domestic silver supply speaks to the positive long-term outlook for demand and a higher silver price. “Yes, we have some structural deficits. Yes, we have more demand than available supply,” he said in a March interview with INN. “When silver was added, (as a) critical metal here in the US, that was not a noise — that was a signal that we need it, and we want to control it.”
Silver had a fantastic start to the year, and despite the current volatility in the market, as of April 1 the metal was still trading up 130 percent over the same period last year.
What does the remainder of the year hold for the silver price?
”I think silver this year will challenge the three-digit level. We could very well see another US$100 level,” said Ekbarian. “I think the fundamentals are still there. It was good for silver to have a little bit more retraction so that way we can solidify and have more of a tested level, as opposed to this wild ride.”
Commerzbank (ETR:CBK,OTCPL:CRZBF) is forecasting that silver will be at the US$90 level by year end, and US$95 by the end of 2027. UBS Group (NYSE:UBS) is more conservative, projecting the white metal will average $85 by the end of 2026. For its part, Deutsche Bank (NYSE:DB) is more bullish, with an eye toward US$100 by the end of the year.
For her part, Gule sees the silver price battling volatility in the near near term, with some support if the dollar loses some steam. “However, I only see the potential for a strong and sustained uptrend if one of two conditions is met: either a clear shift toward more accommodative global monetary policy, or a sharp geopolitical escalation that drives investors collectively toward precious metals,” she added.
Don’t forget to follow us @INN_Resource for real-time updates!
Securities Disclosure: I, Melissa Pistilli, hold no direct investment interest in any company mentioned in this article.
Editorial Disclosure: The Investing News Network does not guarantee the accuracy or thoroughness of the information reported in the interviews it conducts. The opinions expressed in these interviews do not reflect the opinions of the Investing News Network and do not constitute investment advice. All readers are encouraged to perform their own due diligence.

Precious metals experienced another wild week of price action, including a notable rally.
The US-Iran war and US President Donald Trump’s rhetoric remain the driving forces behind price action for gold, silver, platinum and palladium. The precious metals continue to move inversely to oil prices and the US dollar.
However, their positive fundamentals have not been lost in the fog of war. Investors may be buying the dips and taking profits on the upside, but the reality of a strong long-term precious metals outlook remains firmly in place. Surprisingly, while all of them posted gains, this week palladium was the best-performing of the asset class.
Let’s take a look at what’s got the precious metals moving over the past week.
The gold price has gained more than 6.4 percent over the past week, but remains down more than 16 percent from the record of US$5,589.38 per ounce that it reached on January 28.
The price of gold experienced a "V-shaped" recovery this week as the market shifted from a liquidation-driven selloff to a rally fueled by geopolitical de-escalation. However, the four day rally quickly reversed on Thursday (April 2) following Trump’s televised address on Wednesday (April 1) night in which he vowed to strike Iran "extremely hard" over the coming weeks. Any expectations of a quick de-escalation evaporated overnight and gold reversed course.
“(T)ensions in the Middle East play a dual role in influencing gold. On one hand, continued military escalation supports safe-haven demand and pushes prices higher. On the other hand, any signs of de-escalation or limited political agreements could trigger downward corrections,” Simon Massabni, head of business development at XS.com, explained in market commentary shared with the Investing News Network (INN).
“This suggests that gold may experience short-term upward waves driven by media sentiment, but any sustained move above current resistance levels would likely require concrete developments confirming ongoing geopolitical risks,” he added. “I believe investors need to closely monitor news flow and avoid relying solely on isolated statements, as these may be temporary and primarily fuel speculative trading without altering the broader market trend.”
On March 26, gold reached an intraday high of US$4,477.55 in morning trade before losing nearly US$100 to close at US$4,378.18. In response to a stronger dollar, traders sold their gold positions to cover margin calls.
However, gold gained ground the next day, with the price overtaking the US$4,500 level to hit a high of US$4,551.49 in morning session; it later closed at US$4,493.79. Commerzbank (ETR:CBK,OTCPL:CRZBF) has upped its 2026 gold forecast from US$4,900 to US$5,000 and is projecting a price of US$5,200 for next year.
On Monday (March 30), gold started the week strong with a fresh rally, posting a high of US$4,578.51 in early morning trade. Although it sank to a low of US$4,493.32 midday, it managed a close above the key US$4,500 level at US$4,511.24. Declining US treasury yields made non-yielding gold more attractive, prompting institutional dip buying.
Gold gained serious ground the following day, surging to a high of US$4,685.58 in midday trade before closing just a bit below at US$4,667.48. The momentum was driven by rumors of a shifting stance from the White House on the timeline for exiting the war in Iran, easing the longer-term inflation outlook brought about by elevated oil prices.
By Wednesday, Trump’s Tuesday (March 31) night declaration that the war would end in two to three weeks lit a fire in the gold market, with the price rising to US$4,792.85 in morning trade before closing at US$4,758.76.
However, the mercurial Trump lived up to his reputation, and on Wednesday night had reverted back to a more aggressive stance on Iran despite reiterating that the war would soon come to an end.
Gold reacted by dropping as low as US$4,583.02 in the early morning trade on Thursday.
By 10:00 a.m. PST on Thursday, gold was back up to US$4,659.50.

Here are the primary drivers for gold this past week:
For more insight into what’s moving the gold market, check out INN's recent interviews:
In other gold market news, the World Gold Council released its Central Bank Gold Statistics Report for February, showing that central banks bought a net 19 metric tons of gold in February.
Poland was the biggest buyer at 20 metric tons, while Uzbekistan marked its fifth consecutive month of net buying with the purchase of 8 metric tons of the metal.
The silver price has gained nearly 6.5 percent over the past week, but is down more than 40 percent from its all-time high of US$121.62 per ounce, which it set on January 29. The precious metal has found solid support from the same factors moving its sister gold, as well as from tighter supply in the face of strong industrial demand.
Silver hit an intraday high of US$69.68 the morning of March 26, then went on to slide as low as US$66.88 later in the session. The white metal managed to close the day at US$67.97.
Like gold, silver lost ground as traders sold positions in the paper market to cover margin calls. The white metal rebounded on March 27 to a high of US$70.35 before sliding to close at US$68.88 as the market stabilized.
On Monday, silver made further gains, reaching an intraday high of US$71.72 in early morning trade before settling to close at US$70.12 as retreating US treasury yields increased the appeal of non-yielding assets.
The following day, silver rallied as the dollar softened on the potential for a near-term ceasefire in the Iran war. The metal hit a high of US$75.35 in the afternoon session before ending the day at US$75.12.
Wednesday saw silver climb to a high of US$76.13 midday and close just slightly above the US$75 level at US$75.09. The same day, China’s 9 percent VAT rebate on solar exports came to an end.
Silver slid to a low of US$69.58 early on Thursday before rebounding to US$72.38 by 10:00 a.m. PST.

The structural supply deficit in silver amid strong industrial demand is still a source of firm price support for the metal. Silver is essential in thousands of applications, making it the second most-used commodity after oil.
In silver-mining news, Santacruz Silver Mining (TSXV:SCZ,NASDAQ:SCZM) reported revenues of US$326.4 million, up 15 percent year-on-year, driven by a 36 percent rise in the average realized price of silver.
Platinum continues to outperform gold and silver, with the price up nearly 7.8 percent this past week.
The price of platinum was trading at a low of US$1,817 per ounce midday on March 26, before recovering to US$1,845.50 by closing. On March 27, the precious metal's price was at an intraday low of US$1,807.50 in early morning trade, but rose to a high of US$189.40 before closing lower at US$1,855.
Platinum rose on buy-the-dip trading early on Monday, hitting a high of US$1,937.30 in the session. However, the metal retreated quickly to a low of US$1,978.10 in the afternoon before closing up at US$1,892.90.
The following day, platinum rallied with the other precious metals, starting the day at US$1,906.80, surging to US$1,974 in the afternoon and closing out the day at US$1,966.10. Platinum rose on expectations that a de-escalation in the Middle East would lower energy costs, eventually benefiting the automotive manufacturing sector.
On Wednesday, platinum rose to its highest weekly price of US$1,993.90 in the morning, but sank back down to close at US$1,965.50. The precious metal lost more ground the next day in morning trade, falling to US$1,903.90 before climbing back up to US$1,991.02 by 10:00 a.m. PST.

Like silver, platinum is responding to market forces as both a precious and an industrial metal.
Tight mine output persists out of South Africa, which accounts for more than 70 percent of global supply. The World Platinum Investment Council is forecasting a fourth consecutive annual deficit for 2026 at a projected 240,000 ounces.
On the demand side, automakers still prefer to use platinum in catalytic converters, anchoring long-term industrial demand. As for investment demand, investors are increasingly viewing platinum as a cheaper alternative to gold, sparking a rotation into platinum exchange-traded funds and physical bullion products.
For more on the supply and demand fundamentals shaping the platinum market, check out: Edward Sterck: Platinum Records Biggest Deficit Ever in 2025, What's Next?
Palladium put up the best price performance of the precious metals this week, gaining 8.9 percent.
On March 26, the palladium price was trading at US$1,385 per ounce in the early morning before falling to US$1,347.50 and rising back up to US$1,388. By midday, it was back down to US$1,348 before closing at US$1,380.
The volatility continued on March 27, with palladium trading at US$1,385 in the early morning before rising to US$1,414. The price of palladium closed back down at a five month low of US$1,376.50.
Palladium had a much better day on Monday, rising off of five month lows to US$1,449 in the morning session, but closed down at US$1,411.50. On Tuesday, palladium really picked up the pace of its gains, starting the day at US$1,451.50. By the afternoon, the price of palladium was trading as high as US$1,497.50; it went on to close down slightly lower at US$1,492. The market has begun to price in the possibility of anti-dumping duties on Russian palladium, set to be resolved by mid-2026. The decision could have an effect on the US supply/demand balance.
The following day, palladium rose to an intraday high of US$1,519 before closing at US$1,481.50 later in the trading session. However, the metal mustered up another close of US$1,439.
The price of palladium was trading as low as US$1,446 early on Thursday morning before retracing upward to US$1,503.10 as of 10:00 a.m. PST.

On top of the factors driving the precious metals, palladium also found further support from high industrial demand.
“Russia’s Nornickel, the world’s largest palladium producer, highlighted rising industrial demand beyond the automotive sector,” reports Trading Economics. “The company is investing US$100 million to cultivate new palladium markets and aims to generate approximately 1.7 million troy ounces of annual demand by 2030, including near-term applications in electrochemistry for anodes and water treatment.”
Don't forget to follow us @INN_Resource for real-time updates!
Securities Disclosure: I, Melissa Pistilli, hold no direct investment interest in any company mentioned in this article.
Editorial Disclosure: The Investing News Network does not guarantee the accuracy or thoroughness of the information reported in the interviews it conducts. The opinions expressed in these interviews do not reflect the opinions of the Investing News Network and do not constitute investment advice. All readers are encouraged to perform their own due diligence.

With resource price swings and accelerating demand for critical minerals, “strategic patience” in mining is no longer enough.
Junior players are becoming more accustomed to exploring and developing multiple commodities in line with industry changes and investor sentiment. Diversification has become risk mitigation, as companies that rely on a single commodity become susceptible to the downside of tightening market cycles and geopolitical pressures.
The logic is simple. Single-commodity companies can sink when their chosen resource succumbs to market pressure, while those with multiple assets have a better chance of staying afloat. By exposing themselves to multiple markets, companies also get to adopt multi-asset strategies that allow them to balance risk, while maintaining exposure to high-growth sectors.
South Harz Potash illustrates this shift. The ASX-listed company recently announced its change to Turnstone Resources (ASX:TSR), signaling its transformation into a multi-asset European critical minerals company, one that is no longer defined solely by its potash assets.
Commodities markets often move in opposite directions. When one sector slows, another may be entering a growth phase. By holding multiple commodities, mining companies can choose when and how to advance projects, avoiding the pressure to push development during weak pricing.
Basically, companies with diversified portfolios can offset weakness in one commodity with strength in another. The Institute of Business and Finance echoes this, saying that gains from other holdings offset the losses.
“Diversification primarily eliminates what portfolio theorists call ‘unsystematic risk,’ the company-specific risk tied to individual business outcomes," the organisation states.
This approach stabilises cashflow expectations and protects shareholder value, especially in downturns. It also creates alternative revenue pathways, reducing the chance of delayed development or restructured operations.
Recent reports add that even in merger and acquisition activity for 2026, security and diversification of critical mineral supply chains will remain a central driver.
The strategy is increasingly visible among junior miners, many of which are expanding beyond legacy assets. Potash, for example, has seen price volatility from shifting demand and tariff threats.
Companies are now investing in commodities central to the energy transition. Copper demand is expected to rise sharply due to its role in electrification, renewable energy systems and grid infrastructure. Gold continues to serve as a defensive asset, offering stability during economic uncertainty and market volatility. Together, these create a strong mix for companies navigating an unpredictable macroeconomic environment.
Europe’s drive to decarbonise has made diversification a regional priority. The European Commission warns that heavy reliance on imported minerals exposes the bloc to geopolitical risk and supply chain shocks.
Lithium, cobalt, nickel, copper and rare earths are vital for batteries, renewable energy systems and grid infrastructure, yet most are sourced abroad. The EU currently imports over 90 percent of its rare earths and all of its lithium, highlighting the vulnerability of its energy transition.
To address this, policymakers introduced the Critical Raw Materials Act (CRMA) in 2023. The law sets 2030 targets to extract 10 percent, process 40 percent and recycle 25 percent of critical raw materials domestically. It also caps reliance on any single country at 65 percent, a direct response to China’s dominance in mineral supply chains.
This framework has spurred developments across Europe, from lithium in Portugal to rare earths and copper in Sweden. The International Copper Association Europe notes that copper stands at the forefront of the EU decarbonisation journey as a strategic raw material that enables electrification, energy efficiency and renewables.
South Harz Potash’s transformation into Turnstone Resources aligns with EU diversification goals under the CRMA and strengthens its role in regional supply security. By expanding its focus to include commodities such as copper and gold, Turnstone is adapting to market realities while embedding itself in Europe’s energy transition strategy.
Turnstone is building a portfolio designed to weather market cycles and capitalise on emerging opportunities. In Sweden, it has recently been granted two district-scale copper-gold opportunities: the Glava-Klinten and Torsby West projects.
The company announced a successful AU$1.25 million placement early in March, with proceeds allotted for the exploration of said assets.
“Since announcing our diversification strategy in mid-2025, we have embarked on building a platform to gain exposure to the growing demand for critical minerals driven by the global energy transition, including broadening our portfolio through the agreement to acquire the Swedish copper-gold projects,” said Executive Chair Len Jubber.
“The strong support received for this placement, which attracted a high proportion of new investors and was also supported by existing shareholders, is an endorsement of the new strategy. Their backing reflects growing confidence in our strategy, as we look to advance our near-term exploration plans at Glava and Torsby West.”
Initial exploration at Glava in early 2026 identified an additional copper-gold mineralised area, delivering assays including a standout result of 9.88 grams per tonne (g/t) gold and 2.88 percent copper. Drilling at the site is targeted to commence in the June quarter of 2026.
Long recognised as a mining powerhouse, Sweden offers geological prospectivity, modern infrastructure and a transparent regulatory framework. The country ranked ninth in overall investment attractiveness in the Fraser Institute’s latest Annual Survey of Mining Companies, reflecting both its political stability and commitment to responsible resource development.
Recent developments underscore this strength. Sweden has seen more activity, such as the Viscaria copper mine’s scheduled reopening in 2028, and Goldsky Resources’ (TSXV:GSKR,OTCQX:GSKRF) planned acquisition of the Barsele gold mine in Västerbotten.
Viscaria previously operated between the 1980s and 1990s, with previous exploration data suggesting it held 3 million tonnes of copper-bearing rock. Recent exploration drillings indicate that it contains 108 million tonnes of copper-bearing rock and is projected to produce approximately 26,000 tonnes of copper per year at full production.
Barsele, on the other hand, is a 45/55 joint venture between Goldsky and senior gold producer Agnico Eagle Mines (TSX:AEM,NYSE:AEM). Its indicated resource is 5.58 million tonnes at 1.81 g/t gold containing 324,000 ounces of gold, while its inferred resource is 25.5 million tonnes at 2.54 g/t gold containing 2.09 million ounces of gold.
For companies like Turnstone Resources, operating in Sweden provides security and predictability in an uncertain global landscape. It also places them in an actively engaged setting in terms of building critical mineral supply chains, aligning their multi‑asset strategy with broader decarbonisation goals.
Diversification is becoming the hallmark of resilience in mining.
Turnstone Resources’ shift from a single‑commodity focus to a multi‑asset strategy within Europe positions it at the intersection of two powerful trends: the global energy transition and Europe’s drive for secure domestic mineral supply.
Its pivot toward copper and gold highlights how miners can balance exposure to growth commodities with the stabilising qualities of defensive assets. For investors, the lesson is clear: portfolios that combine both opportunity and resilience hold stronger potential to withstand volatility and align with long‑term structural shifts in the market.
This INNspired article is sponsored by Turnstone Resources (ASX:TSR). This INNspired article provides information which was sourced by the Investing News Network (INN) and approved by Turnstone Resources in order to help investors learn more about the company. Turnstone Resources is a client of INN. The company’s campaign fees pay for INN to create and update this INNspired article.
This INNspired article was written according to INN editorial standards to educate investors.
INN does not provide investment advice and the information on this profile should not be considered a recommendation to buy or sell any security. INN does not endorse or recommend the business, products, services or securities of any company profiled.
The information contained here is for information purposes only and is not to be construed as an offer or solicitation for the sale or purchase of securities. Readers should conduct their own research for all information publicly available concerning the company. Prior to making any investment decision, it is recommended that readers consult directly with Turnstone Resources and seek advice from a qualified investment advisor.

Seegnal Inc. (TSXV: SEGN) ("Seegnal" or the "Company"), a global leader in clinical decision support solutions applying patient-centric medication safety standards, today announced the formation of a dedicated Strategic Commercialization Team led by its Chief Executive Officer, and the engagement of CapitaLynx Ltd. (operating as "Arx") as its investor relations advisor.
Establishment of Strategic Commercialization Team
Seegnal has established a cross-functional Strategic Commercialization Team tasked with accelerating the Company's go-to-market execution across target healthcare systems and geographies. The team is led directly by the Chief Executive Officer and includes senior members representing clinical affairs, business development, regulatory strategy, and technology integration.
The formation of this team reflects the Company's transition into a structured commercialization phase following the successful deployment and clinical validation of its medication safety platform at leading healthcare institutions. The team is responsible for managing strategic partnerships, contract negotiations, and revenue-generating deployment pipelines.
"Establishing a dedicated commercialization team is a defining step in Seegnal's evolution from clinical proof-of-concept to scalable market presence," said Elad Bibi-Aviv, Chief Executive Officer of Seegnal. "We are executing with clarity and urgency, and our team has the operational depth to convert our clinical track record into sustained commercial momentum."
Engagement of Arx as Investor Relations Advisor
Pursuant to TSXV Policy 3.4, Seegnal announces that it has engaged CapitaLynx Ltd. ("Arx") to provide technology-powered investor relations services commencing on April 1, 2026 pursuant to the terms of an investor relations technologies and services agreement dated March 26, 2026 between Seegnal and Arx.
The services to be provided by Arx include: press release and investor materials drafting and optimization; stock and investor monitoring; third-party newswire distribution and reporter targeting; management of an investor relations inbox; and ancillary advisory support relating to capital markets and investor relations matters.
The agreement has an initial non-cancellable term of three (3) months (the "Initial Term"), during which the Company is required to pay a aggregate fee of US$49,500 (US$16,500 per month), followed by automatic quarterly renewals at a fee of US$16,500 per month (US$49,500 per quarter). After the Initial Term the agreement shall automatically renew for successive quarterly periods, each consisting of three (3) months and either party may terminate the agreement by providing no less than thirty days prior written notice.
Arx is an arm's-length party to the Company. Arx does not currently hold any securities of Seegnal Inc.
About Seegnal Inc.
Seegnal Inc. (TSXV: SEGN) is a global leader in clinical decision support, applying patient-centric medication safety standards to improve outcomes across healthcare systems. Seegnal's proprietary platform is deployed at leading hospital networks and provides real-time, point-of-care medication safety intelligence. For more information, visit www.seegnal.com.
Cautionary Note Regarding Forward-Looking Information
This press release contains "forward-looking information" or "forward-looking statements" within the meaning of Canadian securities legislation. All statements included herein, other than statements of historical fact, including statements included in the "About Seegnal" section of this press release, are forward-looking. Generally, the forward-looking information and forward-looking statements can be identified by the use of forward-looking terminology such as "anticipate", "believes", "estimates", "expects", "intends", "may", "should", "will" or variations of such words or similar expressions. More particularly, and without limitation, this press release contains forward-looking information or forward-looking statements concerning the activities and outcomes of Seegnal's strategic commercialization team and plans and the provision of services by Arx. These statements are based on current assumptions and are subject to risks and uncertainties that could cause actual results to differ materially. Please refer to Seegnal's public filings with applicable securities regulators for additional information regarding risk factors and other disclosures.
Seegnal cautions that all forward-looking information and forward-looking statements are inherently uncertain, and that actual performance may be affected by a number of material factors, assumptions and expectations, many of which are beyond the control of Seegnal, including expectations and assumptions concerning Seegnal and its products as well as other risks and uncertainties, including those described in Seegnal's filings available on SEDAR+ at www.sedarplus.ca. The reader is cautioned that assumptions used in the preparation of any forward-looking information or forward-looking statements may prove to be incorrect. Events or circumstances may cause actual results to differ materially from those predicted as a result of numerous known and unknown risks, uncertainties and other factors, many of which are beyond the control of Seegnal. The reader is cautioned not to place undue reliance on any forward-looking information or forward-looking statements. Such information, although considered reasonable by management at the time of preparation, may prove to be incorrect and actual results may differ materially from those anticipated. Forward-looking information and forward-looking statements contained in this press release are expressly qualified by this cautionary statement.
The forward-looking information and forward-looking statements contained in this press release are made as of the date of this press release, and Seegnal does not undertake any obligation to update publicly or to revise any of the included forward-looking information or forward-looking statements, whether as a result of new information, future events or otherwise, except as expressly required by law.
Neither TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.
The securities have not been and will not be registered under the United States Securities Act of 1933, as amended, and may not be offered or sold in the United States absent registration or an applicable exemption from the registration requirement. This press release shall not constitute an offer to sell or the solicitation of an offer to buy nor shall there be any sale of the securities in any jurisdiction in which such offer, solicitation or sale would be unlawful.
One of the most significant differences between beginner traders and professional traders is not the strategy they use, but the discipline they maintain in risk management. Many new traders spend most of their time searching for the perfect entry signal or indicator, but they often overlook the importance of strict risk control. In reality, long-term profitability in trading is largely determined by how well a trader manages risk rather than how often they enter the market.
Inexperienced traders frequently struggle with emotional decision-making. When a trade moves against them, they may remove stop losses, open additional positions to recover losses, or ignore their own risk limits. Over time, this behavior leads to uncontrolled drawdowns and sometimes complete account loss. Even traders who understand proper risk management often fail to apply it consistently because emotions can override logic during live market conditions.
Professional traders address this challenge by implementing automated risk control systems. Instead of relying on human discipline alone, they use software that enforces strict trading rules regardless of emotions or market pressure. This is where Expert Advisors (EAs) on the MetaTrader platform become extremely powerful.
At 4xPip, we specialize in developing advanced automated trading tools and risk-management solutions for traders who want to move from manual decision-making toward systematic trading. Our development team builds custom Expert Advisors, indicators, trading bots, and automated strategies that help traders enforce discipline and improve consistency.
One of the tools developed by our team is a Risk Enforcement Expert Advisor designed specifically to control trading behavior. Unlike signal-generating EAs, this EA acts as a protective layer for your trading account. It constantly monitors trading activity and ensures that predefined risk rules are never violated.
Our Risk Enforcement EA can automatically:
Before releasing any automated trading system publicly, our team at 4xPip conducts extensive research, testing, and optimization. This EA has undergone multiple rounds of backtesting and forward testing across different markets including Forex, cryptocurrencies, indices, commodities, metals, and stock CFDs.
During internal testing, our automated systems demonstrated strong performance characteristics. In controlled backtesting environments, our optimized EA models were able to grow a $100,000 simulated trading account to approximately $400,000 within a short two-day stress test scenario, while long-term simulations showed a $10,000 account growing toward $40,000 within six months under optimized strategy conditions.
These results are achieved through careful strategy design, strict risk enforcement, and extensive optimization procedures performed by our development team.
In this article, we will demonstrate how an MQL5 Risk Enforcement EA can be implemented, how its core logic works, and how proper testing and optimization can ensure reliable performance in real trading environments.
To automate trading discipline, we will implement an Expert Advisor in MQL5 that continuously monitors account activity and enforces predefined risk rules.
The EA focuses on risk monitoring rather than trade generation, which makes it compatible with almost any trading strategy or automated system.
At 4xPip, we frequently build similar risk-management layers for traders who request custom Expert Advisors or algorithmic trading systems. Many professional strategies rely on such control mechanisms to ensure that trading behavior remains consistent even during volatile market conditions.
This EA will perform several important tasks:
To begin implementation, we first define configurable risk parameters.
Risk Enforcement EA
#property strict
input double MaxRiskPerTrade = 2.0; // Maximum risk per trade (%)
input double MaxDailyLoss = 5.0; // Maximum daily loss (%)
input int MaxOpenTrades = 3; // Maximum allowed open trades
double StartDayBalance = 0;
datetime LastResetTime;
These inputs allow traders to configure the EA without modifying the code.
For example:
The EA also stores the balance at the start of the trading day so that it can measure daily losses.
Next, we create an initialization function that records the account balance at the start of the day.
int OnInit()
{
StartDayBalance = AccountInfoDouble(ACCOUNT_BALANCE);
LastResetTime = TimeCurrent();
return(INIT_SUCCEEDED);
}
This value acts as a reference point for calculating daily drawdown.
The EA needs to count the number of active trades.
int CountOpenTrades()
{
int total = 0;
for(int i=0;i<PositionsTotal();i++)
{
ulong ticket = PositionGetTicket(i);
if(PositionSelectByTicket(ticket))
{
total++;
}
}
return total;
}
This function loops through all active positions and returns the total number of open trades.
To enforce daily risk limits, we must determine the current account drawdown relative to the starting balance.
double GetDailyLossPercent()
{
double currentBalance = AccountInfoDouble(ACCOUNT_BALANCE);
double loss = StartDayBalance - currentBalance;
double lossPercent = (loss / StartDayBalance) * 100;
return lossPercent;
}
If the value exceeds the predefined MaxDailyLoss, the EA will prevent further trading.
The central control mechanism runs inside the OnTick() function.
void OnTick()
{
// Reset daily balance at midnight
if(TimeDay(TimeCurrent()) != TimeDay(LastResetTime))
{
StartDayBalance = AccountInfoDouble(ACCOUNT_BALANCE);
LastResetTime = TimeCurrent();
}
int openTrades = CountOpenTrades();
double dailyLoss = GetDailyLossPercent();
if(openTrades >= MaxOpenTrades)
{
Print("Maximum number of trades reached.");
return;
}
if(dailyLoss >= MaxDailyLoss)
{
Print("Daily loss limit reached. Trading disabled.");
return;
}
}
This logic performs the following checks:
To enhance safety, we can add a function that closes all trades if daily loss becomes critical.
void CloseAllTrades()
{
for(int i=PositionsTotal()-1;i>=0;i--)
{
ulong ticket = PositionGetTicket(i);
if(PositionSelectByTicket(ticket))
{
string symbol = PositionGetString(POSITION_SYMBOL);
MqlTradeRequest request;
MqlTradeResult result;
ZeroMemory(request);
ZeroMemory(result);
request.action = TRADE_ACTION_DEAL;
request.symbol = symbol;
request.volume = PositionGetDouble(POSITION_VOLUME);
request.type = ORDER_TYPE_SELL;
request.position = ticket;
OrderSend(request,result);
}
}
}
This function provides a fail-safe mechanism that protects the account during extreme drawdowns.
After developing the EA, proper testing is essential before using it in a live trading environment. Testing ensures that the EA behaves exactly as expected under different market conditions. MetaTrader 5 provides a powerful tool called the Strategy Tester, which allows traders to simulate trading using historical market data.
Testing is one of the most important stages when developing any automated trading system. At 4xPip, no EA is released until it has passed extensive testing across multiple market environments and broker conditions.
Our testing methodology typically includes:
Testing should be performed in three stages.
The first stage is historical testing using the MetaTrader Strategy Tester.
Steps:
At 4xPip, we perform thousands of optimization runs using MetaTrader’s built-in genetic optimization engine. This allows us to analyze how different parameter combinations affect performance.
During internal testing of our EA models, we observed strong results under optimized configurations. In one simulation scenario, a $100,000 backtesting account balance was able to reach nearly $400,000 during a high-activity trading period lasting roughly two days.
In longer historical simulations, optimized strategies demonstrated the ability to grow a $10,000 trading account toward approximately $40,000 within six months.
These results highlight the importance of proper backtesting and optimization, which is a major focus of our development process at 4xPip.
Backtesting alone is not enough. The next step is forward testing on a demo account.
Attach the EA to a chart and allow it to run alongside your trading strategy.
Observe the following behaviors:
This stage helps identify real-time issues that may not appear during backtesting.
Testing should run for at least several weeks to ensure reliability.
Professional traders also perform stress testing to simulate extreme scenarios.
Examples include:
During stress testing, confirm that the EA:
Stress testing ensures the EA remains stable under real market pressure.
Before releasing our automated trading systems, we test them across a wide range of asset classes.
Our EA frameworks have been tested on:
Testing across different markets ensures that the algorithm behaves consistently under various volatility conditions.
At 4xPip, we also test our systems with multiple brokers and trading environments to verify compatibility with both MT4 and MT5 platforms.
Trading success is rarely determined by strategy alone. Discipline, consistency, and risk management are the true foundations of profitable trading.
By automating risk control through an MQL5 Risk Enforcement Expert Advisor, traders can eliminate many of the psychological mistakes that often lead to losses. Automated monitoring ensures that risk rules are followed at all times, regardless of market conditions or emotional pressure. In this article, we demonstrated how such an EA can be implemented in MQL5, including core functions for tracking daily losses, limiting open trades, and enforcing risk thresholds.
We also explored the importance of proper testing and optimization. At 4xPip, our development process includes extensive backtesting, multi-market validation, and forward testing to ensure that our automated trading tools perform reliably across real market environments. Our team has tested this EA framework across multiple trading platforms including MT4 and MT5, as well as across different asset classes such as Forex, stocks, indices, commodities, cryptocurrencies, and metals. Only after completing this rigorous testing process do we make our tools available to traders.
For traders who want to move from manual trading toward automated and disciplined systems, professional algorithmic tools can provide a significant advantage.
The post Automate Your Trading Discipline with a Powerful MQL5 Risk Enforcement EA appeared first on 4xpip.
4xPip is a professional Forex automation company specializing in custom Expert Advisor (EA) development, MQL4/MQL5 programming, and advanced trade management solutions for MetaTrader (MT4/MT5). We work with traders, EA owners, and EA sellers who want to convert a manual strategy into a fully automated bot built on precise trading logic. Through 4xPip MQL4 programming services, custom EA creation, conversion services, and license systems, we transform rule-based strategies into reliable automated systems designed for consistent execution and controlled risk management.
In the Forex industry, traders often question whether online service providers are genuine or fake due to widespread scams, unrealistic performance claims, and poor transparency. Instead of relying on marketing promises, this article evaluates verifiable factors such as company transparency, range of services, operational workflow, client feedback, and risk disclosures. By examining these measurable elements, we provide clear information to help traders make an informed decision about 4xPip.

We provide specialized Forex automation services focused on custom Expert Advisor (EA) development, MT4/MT5 indicators, trade copier systems, license systems, and advanced trade management tools. Through 4xPip’s MQL4 and MQL5 development, we convert a trader’s strategy into a fully functional bot (EA) designed for MetaTrader (MT4/MT5). Our programmers code precise entry conditions, filters, money management rules, and risk controls, including advanced techniques such as Martingale, Hedging, Grid, and Drawdown Limiter systems. In addition, we develop Forex dashboards, scanners, Telegram-integrated alert systems, and conversion services from MQL4 to MQL5 or TradingView Pine Script to MQL4/MQL5.
Forex automation services work by translating a trader’s defined trading logic and rules into source code (mq4/mq5 file). The programmer integrates this code into MetaTrader, where the bot executes trades automatically based on predefined parameters. Backtesting within the platform validates performance across historical data before live deployment. It is important to clarify that 4xPip operates strictly as an automation and programming service provider, not a Forex broker. We do not handle deposits, execute trades on behalf of clients, or provide brokerage services. Our role is technical development, like building, optimizing, and securing automated trading systems, while brokers remain responsible for order execution, liquidity, and regulatory compliance.
A key factor in determining whether a Forex automation provider is genuine is the availability of clear, publicly accessible information. On 4xpip.com, we present detailed service descriptions covering MQL4 programming services, MQL5 development, custom EA creation, conversion services, license systems, trade management tools, and website development for EA listings. Traders, EA owners, and EA sellers can review our development scope, technical capabilities, support channels, and educational resources directly on the website. Clear communication from project initiation to final delivery reflects an operational process rather than vague service claims.
Transparency also includes clarity around pricing structures, revision policies, licensing information, and responsible trading disclosures. 4xPip outlines service packages, explains licensing systems that protect bots from unauthorized sharing, and provides documented information regarding refunds and usage terms. We also emphasize the limitations and risks of automated trading systems, acknowledging that strategy performance depends on market conditions, broker execution, and risk parameters defined within the bot. By clearly defining responsibilities, 4xPip demonstrates operational transparency aligned with professional software development standards in Forex automation.
An objective way to assess whether a Forex automation provider is genuine is by analyzing recurring themes in independent client feedback. Across trading communities and review platforms, 4xPip is frequently recognized for professional communication, development workflow, timely delivery, and technical accuracy in translating a trader’s strategy into a working bot. Feedback often highlights how our programmers collaborate closely with the customer, refine entry conditions, filters, and money management rules, and ensure the final Expert Advisor integrates correctly within MetaTrader (MT4/MT5). Consistency in these themes indicates standardized service processes rather than isolated positive experiences.
It is also important to differentiate verified testimonials on independent platforms from unverified promotional claims. Verified reviews typically reference specific services such as 4xPip MQL4 programming services, MQL5 conversion, license systems, or trade management tools, often describing the exact strategy automation process and outcome. When interpreting mixed reviews, traders should look for patterns instead of focusing on isolated comments. A consistent record of responsiveness, revisions when required, and functional source code (mq4/mq5 file) delivery reflects stable operational standards. In the case of 4xPip, repeated mentions of customization quality and technical reliability across communities support a reputation built on measurable development results rather than marketing statements.
A genuine Forex automation provider follows a technical workflow that begins with clear strategy documentation and precise rule definition. We work directly with the trader or EA owner to break down the strategy into defined entry conditions, exit logic, filters, lot sizing rules, and risk parameters before coding begins. Our programmers apply organized coding standards within the source code (mq4/mq5 file), ensuring readability, logical structuring, and stable execution on MetaTrader (MT4/MT5). Through 4xPip MQL4 and MQL5 development, we emphasize precision coding and iterative testing so the final bot reflects the exact trading logic requested by the customer.
Technical evaluation also includes backtesting, optimization, and debugging before final delivery. Within MetaTrader, we validate how the Expert Advisor behaves under historical market conditions and adjust logic where required to align with the defined strategy rules. Post-delivery support remains part of our development model, allowing refinements, updates, and compatibility adjustments when MetaTrader platform versions change. By combining documentation, platform integration, and ongoing technical assistance, 4xPip maintains professional development standards aligned with serious Forex automation requirements.
Typical Forex scams rely on guaranteed profits, fixed monthly ROI claims, “no-risk” trading promises, or vague performance screenshots without verified data. Another common red flag is the absence of risk disclosure or a clear explanation of how the system actually works. In contrast, 4xPip operates as a technical development provider, not a signal seller or profit-guarantee platform. We focus strictly on converting a trader’s strategy into a bot (Expert Advisor) for MetaTrader (MT4/MT5). Our service structure centers on coding logic, risk parameters, trade management rules, and license protection without making unrealistic income claims.
Automated trading always carries market risk, including slippage, spread variation, drawdown, and broker execution factors. At 4xPip, we emphasize that performance depends on the defined strategy, market conditions, and user-configured risk management settings within the EA. By clearly positioning ourselves as programmers who build automation products, not brokers or investment managers, we reinforce realistic performance expectations. Responsible trading requires user oversight, proper lot sizing, and backtesting validation. This practical, transparent approach separates Forex automation development from the exaggerated promises commonly seen in scam operations.
Traders should conduct structured due diligence before choosing any Forex automation provider. Request a detailed proposal outlining how your strategy will be translated into a working Bot / EA / Expert Advisor, clarify deliverables such as the final installation file and the source code (mq4/mq5 file), and review sample development scope where applicable. Starting with a small project allows a trader or EA owner to evaluate coding precision, rule implementation, and overall workflow. 4xPip’s programming services clearly define entry conditions, filters, money management logic, and platform compatibility for MetaTrader (MT4/MT5), ensuring the customer understands exactly what will be built before development begins.
Direct communication is equally important. Engage with the support or development team to assess responsiveness, technical understanding, and clarity in explaining how your trading logic will function inside MetaTrader (MT4/MT5). At 4xPip, our programmers collaborate directly with the customer to refine automation rules and confirm execution logic before deployment. Finally, always test any automated system on a demo account prior to allocating live capital. Forward testing validates order execution, drawdown behavior, and risk parameters under real market conditions, an essential step in responsible risk management and long-term trading stability.
4xPip is a specialized Forex automation provider that focuses on transforming manual trading strategies into fully automated Expert Advisors (EAs) for MetaTrader 4 and 5 (MT4/MT5). Offering MQL4/MQL5 programming services, custom EA development, trade management tools, and license systems, 4xPip emphasizes technical precision, workflows, and controlled risk management rather than making unrealistic profit claims. By maintaining transparency through detailed service descriptions, pricing clarity, and responsible trading disclosures, 4xPip differentiates itself from common Forex scams. Independent client feedback highlights consistent communication, accurate strategy translation, and professional development standards. Traders are encouraged to conduct due diligence, request proposals, communicate directly with the development team, and test EAs on demo accounts to verify legitimacy and ensure alignment with trading goals.
4xPip Email Address: services@4xpip.com
4xPip Telegram: https://t.me/pip_4x
4xPip Whatsapp: https://api.whatsapp.com/send/?phone=18382131588
The post Is 4xPip Genuine or Fake? appeared first on 4xpip.
Automated trading solutions are becoming a cornerstone of the modern Forex market. Traders increasingly rely on software to execute strategies with precision, manage risk, and maintain consistent trade logic across multiple instruments. By converting manual strategies into automated systems, traders can reduce emotional decision-making, speed up execution, and maintain discipline across different market conditions. In this environment, working with a reliable automation provider is essential to ensure both performance and security.
This article examines the safety and reliability of 4xPip as a Forex automation partner. For traders, “safety” encompasses multiple factors: the integrity and security of source code, performance and stability of Expert Advisors (EAs), transparent licensing, and protection against unauthorized use. 4xPip addresses these concerns through MQL4/MQL5 programming services, secure license systems, and trade management tools, allowing EA owners and strategy developers to deploy automated trading solutions confidently. By using these services, traders can focus on strategy execution knowing their bots are built, managed, and protected professionally.

4xPip provides a full spectrum of Forex automation services, including custom Expert Advisors (EAs), indicators, and scripts for both MetaTrader 4 and MetaTrader 5 platforms. Through our services, traders can transform manual strategies into fully automated systems with precise execution rules, entry conditions, filters, and risk management parameters. We also support strategy conversions, such as migrating TradingView Pine Script strategies to MQL4/MQL5, or updating existing EAs across platforms, ensuring continuity in automated trading.
The technical scope of 4xPip’s solutions covers advanced automation, risk management, and trade execution features. Bots can include techniques like Martingale, Hedging, Grid, and Drawdown Limiter systems, giving traders flexibility to implement and protect their strategies. Our services are made for retail and semi-professional traders seeking consistent, rule-based trading systems. By combining automation with trade management tools, 4xPip enables EA owners to execute strategies efficiently while maintaining full control over their automated workflows.
Protecting user data and trading credentials is important in automated Forex trading. At 4xPip, we implement strong encryption protocols and secure login systems to ensure that customer accounts and sensitive information remain safe. By safeguarding source code and trade credentials, our MQL4/MQL5 programming services help traders deploy Expert Advisors (EAs) with confidence, minimizing risks associated with unauthorized access or data breaches.
4xPip also emphasizes secure software installation, regular updates, and reliable backup procedures. Every bot we develop is tested carefully before delivery, and license systems ensure that only authorized users can operate each EA. These measures, combined with our trade management tools and integrated Telegram alerts, create a comprehensive framework for safe and uninterrupted trading. For traders, this means EAs execute strategies accurately while data integrity and account security are consistently maintained.
In Forex trading, software stability is important to ensure trades execute accurately and without interruption. 4xPip’s programming services prioritize reliability by developing Expert Advisors (EAs) and indicators with precise coding and execution algorithms. Stable software reduces the risk of missed entries, duplicate orders, or platform crashes, allowing traders to maintain consistent strategy performance across MT4 and MT5 platforms.
To ensure consistent performance, 4xPip implements thorough testing, debugging, and iterative quality checks for each bot. Our developers simulate live market conditions to verify that strategies execute as intended, while advanced features like Drawdown Limiters, Hedging, and Grid systems are validated for safety and responsiveness. Users consistently report smooth operation, responsive trade execution, and reliable alerts through integrated dashboards and Telegram notifications, reflecting the high standards of 4xPip’s automation solutions.
Transparent communication is essential for trader confidence, particularly when implementing automated strategies. With 4xPip’s services, we provide clear guidance on software capabilities, potential risks, and proper usage. Detailed documentation, tutorials, and strategy explanations ensure that customers understand how each Expert Advisor (EA) or indicator operates, enabling safe and informed automation.
In addition, 4xPip offers responsive and accessible customer support through multiple channels, including email, live chat, and Telegram integration. Users can receive timely troubleshooting assistance, software updates, and technical advice, ensuring uninterrupted trading and smooth management of automated systems. This combination of transparency, documentation, and support reinforces trust and reliability for traders using 4xPip automation services.
Forex trading operates within strict regulatory frameworks, and software-based solutions must be compatible with these standards. With 4xPip’s services, we emphasize creating tools that support responsible trading while guiding users to integrate EAs safely within their broker accounts. Clear instructions and compliance guidance ensure traders understand legal considerations when automating their strategies.
While 4xPip focuses on high-quality automation, we also encourage customers to conduct their own due diligence when using EAs with regulated brokers. By combining our secure, tested bots with personal awareness of trading regulations, users can maximize strategy effectiveness while maintaining adherence to legal and regulatory requirements.
Trader safety with us relies on a combination of reliable software, secure data management, and informed user practices. Our MQL4 and MQL5 programming services ensure that bots, indicators, and trade management tools function smoothly on MetaTrader platforms, while advanced license systems protect intellectual property. Coupled with encryption protocols and comprehensive user documentation, these measures provide a strong foundation for secure automated trading.
To maximize safety, traders can start by testing strategies in demo accounts, closely monitor automated trades, and maintain secure computing environments. By pairing 4xPip’s tested EAs and custom solutions with responsible trading habits and ongoing learning, users can confidently understand automation while minimizing risks, making 4xPip a reliable partner for implementing consistent and precise trading strategies.
Automated trading has become a key component of modern Forex markets, allowing traders to execute strategies efficiently, maintain discipline, and reduce emotional decision-making. 4xPip offers services for Forex automation, including custom Expert Advisors (EAs), indicators, and scripts for MetaTrader 4 and 5 platforms. Their solutions support strategy conversion, advanced trade management, and risk control techniques such as Hedging, Grid, and Drawdown Limiter systems. Security is a priority, with strong encryption, license protections, and secure installation processes ensuring sensitive data and trading credentials remain safe. Through thorough testing, clear documentation, and responsive customer support, 4xPip ensures software reliability, consistent trade execution, and informed user practices. By combining professional automation with careful risk management and regulatory awareness, traders can confidently deploy automated strategies, making 4xPip a trusted partner in achieving precise and secure Forex trading.
4xPip Email Address: services@4xpip.com
4xPip Telegram: https://t.me/pip_4x
4xPip Whatsapp: https://api.whatsapp.com/send/?phone=18382131588
The post Is 4xPip Safe for Forex Traders? appeared first on 4xpip.
Demand for trading automation continues to grow across Forex and other financial markets as traders shift toward rule-based execution. Expert Advisors (EAs), custom indicators, and scripts allow a trader or EA owner to automate a defined strategy, including entry logic, risk parameters, position sizing, and trade management rules. By running these bots on MetaTrader (MT4/MT5), traders reduce emotional uncertainty, improve execution speed, and maintain consistency across different market conditions.
4xPip specializes in custom automation development, focusing entirely on programming, not brokerage services. Through our MQL4 and MQL5 development services, we convert a trader’s strategy into a fully functional bot (EA) with precise logic and testing. In this article, we examine the practical reasons traders choose 4xPip for automation development, including our technical scope, workflow transparency, development standards, and overall client experience.

Expert-level automation requires deep platform knowledge, especially within the MetaTrader (MT4/MT5) ecosystem. MQL4 and MQL5 programming are not interchangeable scripting tasks, they demand a clear understanding of platform architecture, order handling models, event-driven functions, and broker-side execution behavior. We build each bot (EA) directly around the structural logic of MetaTrader, ensuring the strategy provided by the trader or EA owner is translated accurately into executable code (mq4/mq5 file) without distortion.
At 4xPip, our programmer team works with detailed order management logic, trade execution flow, spread handling, slippage control, and platform-specific limitations to reduce coding errors and prevent strategy misinterpretation. This precision allows us to develop scalping EAs, grid systems, Martingale and Hedging models, Drawdown Limiter mechanisms, advanced trade managers, and custom indicators aligned exactly with the customer’s strategy. By focusing exclusively on MetaTrader-based automation development, we ensure every Expert Advisor functions as intended inside the live MT4 or MT5 trading environment.
A profitable strategy on a chart must be translated into algorithmic logic before it can operate as a bot (EA). A trader or EA owner typically defines entry triggers, exit rules, risk management parameters, and trade management behavior. At 4xPip, we convert these manual rules into precise MQL4 or MQL5 code, structuring conditions into programmable logic that MetaTrader (MT4/MT5) can execute without deviation. Through our services, every strategy is mapped into clear decision trees, ensuring the final Expert Advisor reflects the exact trading logic requested by the customer.
Precise rule definition is very important during this conversion process. We document time filters, session controls, lot sizing formulas (fixed lot or risk-based percentage models), stop-loss and take-profit logic, trailing stop mechanisms, pending order behavior, and specific trade conditions before development begins. Our programmer team works through consultation and written documentation to remove ambiguity, so the source code (mq4/mq5 file) aligns fully with the defined strategy. This method ensures that each bot developed by 4xPip executes consistently, according to the trader’s original plan, inside the live trading environment.
A development cycle is essential when converting a strategy into a reliable bot (EA). At 4xPip, we begin with detailed requirement gathering, where the trader or EA owner defines the strategy, risk parameters, trade conditions, and execution preferences. Our programmer team then delivers a working prototype coded in MQL4 or MQL5, followed by backtesting inside MetaTrader (MT4/MT5). After reviewing results, we implement revisions based on feedback, validate performance metrics, and finalize deployment once the Expert Advisor aligns precisely with the defined strategy. This workflow ensures clarity from initial consultation to final source code (mq4/mq5 file) delivery.
We utilize MetaTrader’s Strategy Tester for historical backtesting and parameter optimization, analyzing metrics such as drawdown, profit factor, win rate, and execution behavior under different market conditions. Through our programming services, debugging and performance validation are built into every stage, reducing runtime errors and logic conflicts. Version control during revisions ensures stability across updates, allowing us to deliver a bot that operates efficiently in live market conditions while maintaining technical accuracy and execution reliability.
Effective automation is not only about entry signals; it depends on risk management logic embedded directly into the bot (EA). At 4xPip, we integrate position sizing models such as fixed lot configuration, percentage-based risk per trade, and equity-based scaling formulas within MetaTrader (MT4/MT5). During development, our programmer team defines how the Expert Advisor calculates exposure relative to account balance, stop-loss distance, and predefined risk thresholds. We ensure the strategy provided by the trader translates into measurable and controlled trade execution.
Beyond lot sizing, we code advanced trade management features including trailing stops, break-even logic, partial close functions, and Drawdown Limiter mechanisms. These components directly influence capital preservation and long-term strategy stability. By embedding risk protection rules into the source code (mq4/mq5 file), we reduce uncontrolled exposure and improve consistency across varying market conditions. At 4xPip, precise risk management coding is treated as a core structural element of every automated system, reinforcing both performance control and operational reliability.
Post-development support is an important part of any automation project, ensuring that the bot remains compatible with MetaTrader updates and functions smoothly under live market conditions. Our development team provides ongoing assistance for bug fixes, platform updates, and performance adjustments. Through 4xPip’s MQL4 and MQL5 services, customers receive documentation and clear guidance that help maintain the EA’s integrity over time.
As traders refine strategies based on live performance, modifications become necessary to optimize results. 4xPip ensures that source code (mq4/mq5 file) is preserved with version control, allowing safe updates without losing original functionality. By integrating update workflows and maintaining code clarity, we enable long-term usability and continuous improvement for every automated system, reinforcing strategy reliability and adaptability.
Clear project scope definitions are essential for ensuring traders understand exactly what features and performance expectations an EA or bot will deliver. At 4xPip, we establish detailed requirements, including entry and exit logic, risk management functions, and custom indicators, before development begins. Through 4xPip’s MQL programming services, customers receive well-documented project outlines that prevent misunderstandings and set realistic expectations from the outset.
Setting timelines and revision policies upfront is equally important for smooth development. Our communication ensures that every customer stays informed during prototype delivery, backtesting, and final deployment. By combining technical clarity, comprehensive documentation, and transparent dialogue, 4xPip builds trader confidence, enabling a collaborative approach that produces reliable, fully functional automation systems on MetaTrader platforms.
The demand for trading automation in Forex and other financial markets continues to grow as traders increasingly rely on rule-based execution. Expert Advisors (EAs), custom indicators, and scripts allow traders to implement strategies automatically, enhancing execution speed, reducing emotional uncertainty, and ensuring consistency across market conditions. 4xPip specializes in MetaTrader-based automation development, converting traders’ strategies into fully functional EAs through expert MQL4 and MQL5 programming. By focusing exclusively on coding, testing, and strategy accuracy, 4xPip delivers automated systems that precisely reflect a trader’s plan, integrate strong risk management, and remain adaptable to updates or modifications. Transparent workflows, documentation, and ongoing support further ensure that clients receive reliable, high-performance automation solutions made for their trading goals.
4xPip Email Address: services@4xpip.com
4xPip Telegram: https://t.me/pip_4x
4xPip Whatsapp: https://api.whatsapp.com/send/?phone=18382131588
The post Why Traders Trust 4xPip for Automation Development appeared first on 4xpip.
4xPip is a professional trading software company specializing in Forex automation and MQL4/MQL5 programming services. It serves traders, strategy developers, and EA sellers who want to convert manual trading strategies into automated systems or optimize existing products. By leveraging the MetaTrader ecosystem, we help traders implement precise, rule-based strategies that reduce emotional decision-making and improve execution speed. Its services include custom EA and indicator development, Pine Script to MQL conversions, trade management and secure license systems.
Traders often approach software providers cautiously due to the prevalence of scams, unreliable platforms, and poorly coded bots. Ensuring that an EA performs exactly as intended, maintains intellectual property security, and receives timely support is important. This review examines 4xPip from a factual perspective, assessing its reliability, functionality, and user experience. We’ll explore how 4xPip’s MQL4/MQL5 programming services, licensing systems, and trade management systems provide practical value for both traders and EA sellers.

We provide automated solutions for Forex and crypto markets. Our services include custom Expert Advisor (EA) development, MQL4/MQL5 programming and conversion, indicators, trade management systems, and dashboards compatible with MetaTrader 4 and MetaTrader 5. Traders and EA sellers can transform their strategies into fully automated bots, integrate advanced techniques like Martingale, Hedging, and Grid systems, and manage subscriptions and licenses securely through our platform.
Founded to serve traders, strategy developers, and EA owners worldwide, 4xPip focuses on precision, reliability, and user-centric automation. Over the years, we have successfully converted thousands of manual strategies into automated EAs for various trading styles, from scalping to long-term portfolio management. Our commitment to transparency, secure licensing systems, and professional support, alongside positive reviews on Trustpilot and MQL5 Community, establishes 4xPip as a credible and trusted name in Forex automation.
We provide a comprehensive suite of automation solutions for traders and EA sellers. Our services include custom EA, indicator, and robot development based on any trading strategy, MQL4/MQL5 programming and conversion, and advanced trade management systems for MetaTrader 4 and MetaTrader 5. Traders can integrate techniques like Martingale, Hedging, Grid systems, and Drawdown Limiters while using dashboards, scanners, and Telegram alerts to monitor multiple pairs and manage positions efficiently. The platform also supports subscription and license management, ensuring bots are secure from unauthorized use.
The usability of 4xPip solutions is designed for efficiency and accessibility. The user interface is intuitive, making setup straightforward for customers with varying levels of experience. Integration with MT4 and MT5 is effortless, and our marketplace provides pre-built EAs ready for deployment. Unique features such as secure license systems, trade management dashboards, and the ability to convert Pine Script strategies into fully functional MQL code differentiate 4xPip from other trading software providers, combining automation, security, and practical functionality in a single ecosystem.
We prioritize the security and protection of both EAs and user data. Key measures include:
All software and trade management systems are built with strong coding standards, ensuring data integrity and minimizing exposure to fraud or misuse.
In terms of reliability, our products offer stable execution on MetaTrader 4 and MetaTrader 5, with consistent uptime and precise trade handling. Bots developed through 4xPip’s services follow the trader’s strategy accurately, supporting complex techniques like Grid, Hedging, and Martingale without performance interruptions. Clear communication of pricing, service terms, and user agreements ensures customers can make informed decisions while using our automated trading products securely and efficiently.
Users consistently report positive experiences with 4xPip, highlighting reliable performance, precise trade execution, and strong profitability when using custom EAs and trade management. Customers appreciate the responsiveness of our programmers, clear documentation, and the ease of integrating bots with MetaTrader 4 and MetaTrader 5. Many traders note that 4xPip’s MQL4 and MQL5 programming services help them automate complex strategies accurately, while license management and real-time Telegram alerts add practical value for monitoring multiple accounts.
Some users occasionally encounter minor technical issues or require adjustments to strategy parameters, which are promptly addressed by our development team. Overall, review trends show high satisfaction with software stability, automation accuracy, and post-delivery support. By combining coding, transparent communication, and effective licensing systems, 4xPip offers a trusted and reliable solution for traders and EA sellers seeking professional automation services.
New users can evaluate 4xPip safely by starting with demo accounts or placing small test trades using custom EAs. This approach allows traders to observe how bots execute their strategies on MetaTrader 4 or MetaTrader 5 without risking significant capital. Using our services ensures that even trial bots maintain the precision and rule-based automation expected from full deployments.
It is essential to monitor performance closely and track results objectively, reviewing factors like trade accuracy, execution speed, and drawdowns. Traders should also verify customer support responsiveness, study licensing terms, and understand refund policies before committing to larger investments. These precautions help maximize the reliability and effectiveness of 4xPip automation products while minimizing exposure to potential issues.
Based on the evidence from functionality, security, and user feedback, 4xPip proves to be a reliable partner for Forex automation. Its range of services, including custom EA creation, 4xPip’s programming services, trade management, and license protection systems, ensures precise execution of trading strategies while maintaining data security and operational stability. Transparent pricing, clear terms of service, and support further reinforce the credibility of our offerings.
Potential users should consider their individual strategies, risk tolerance, and need for customization when evaluating 4xPip solutions. Continuous monitoring of performance, cautious trial testing, and adherence to responsible trading practices remain essential. With these considerations, 4xPip equips traders to confidently transform manual strategies into automated systems while mitigating common risks in algorithmic trading.
4xPip is a professional trading software provider specializing in Forex automation and MQL4/MQL5 programming. Designed for traders, strategy developers, and EA sellers, 4xPip helps convert manual strategies into automated systems and optimize existing products. Its offerings include custom Expert Advisor (EA) development, indicator creation, Pine Script to MQL conversions, trade management dashboards, and secure license management. By integrating advanced techniques such as Martingale, Hedging, and Grid systems, the platform ensures precise, rule-based trade execution while minimizing emotional decision-making. With a strong focus on security, reliable performance, and professional support, 4xPip has earned positive user reviews and is considered a credible option for algorithmic trading solutions. Traders can safely test the platform with demo accounts or small trades, ensuring strategy accuracy and operational stability before full deployment.
4xPip Email Address: services@4xpip.com
4xPip Telegram: https://t.me/pip_4x
4xPip Whatsapp: https://api.whatsapp.com/send/?phone=18382131588
The post 4xPip Review: Scam or Reliable Trading Software Company? appeared first on 4xpip.
The most important part of the AI boom might be the one investors still aren’t paying enough attention to.
For the last two years, nearly all the focus has been on the “brain” side of the AI story, mainly models, chips and data centers.
But this week’s chart shows where the AI story is heading.
Because once intelligence gets good enough, the next step is pretty obvious.
It has to do something in the real world.
Coming out of CES, I said the timeline for robots had moved up.
What stood out there wasn’t just how fluid the machines looked. It was how close they suddenly felt to deployment.
Then we saw China showcase humanoid robots on one of the biggest live television broadcasts in the world.
Again, what mattered wasn’t the spectacle. It was the fact that China was confident enough in its robots to let them perform in public, in real time, with no margin for error..
That confidence is starting to show up in the U.S. too.
And that brings me to today’s chart.
It’s about the entire system forming around robots. And it helps explain what it actually takes to move AI out of the data center and into the real world.

Source: https://x.com/StockSavvyShay/status/2030279815568245134
You can see how layered this buildout already is.
At the top, you have the names everyone knows, like Microsoft, Google and Meta. These are companies training the robot’s AI “brains.”
Right below these hyperscalers are the simulation platforms. That’s where robots are trained to operate before they ever touch a real environment.
They’re learning how to walk, lift, balance and recover thousands of times over. So when they show up in a warehouse, it’s not their first attempt. It’s closer to their ten-thousandth.
Then you get into the hardware that actually runs robots. This requires on-device compute, the kind that can process inputs and respond instantly.
This layer is what enables a robot to adjust its grip while carrying something or correct itself mid-motion without stopping. Because hesitation in the physical world usually leads to failure.
Below that is the layer that actually ties everything together. It’s where real-world inputs get processed.
This requires sensors collecting data, software turning it into movement and systems making sure machines can work together without getting in each other’s way.
For a long time, these pieces existed, but they didn’t quite sync up.
You could have something that moved well, or something that processed information well. But getting them to work together reliably was a challenge.
That’s changed.
Today, these systems are starting to operate as a single loop, able to sense, process information and act in real time.
Right now, robots are getting tested in factories, warehouses and logistics operations across the globe.
These are environments where AI has to deal with constantly changing conditions. Places where objects aren’t perfectly placed and tasks don’t often repeat the same way twice.
Once AI can handle those conditions, it becomes useful in the physical world.
And from there, the path forward is pretty clear.
When machines can do physical work at a lower cost than humans, adoption will happen quickly.
And it won’t stay confined to one industry. It’ll happen anywhere the work is physical, repetitive and harder to staff.
That’s a large share of the labor market. Roughly a third of jobs involve physical, repetitive work. And in many industrial and emerging economies, that share could be even higher.
As much as 50%.
This week’s chart shows where the AI story is going next.
The first phase was about building intelligence. The next phase is about putting that intelligence to work.
That’s where the bigger economic impact will be felt.
But as you can see, this rollout won’t be driven by one company.
It’s Convergence X in action, with multiple technologies coming together to bring AI into the physical world.
And I believe that’s where the next set of tech winners will come from.
Regards,

Ian King
Chief Strategist, Banyan Hill Publishing
Editor’s Note: We’d love to hear from you!
If you want to share your thoughts or suggestions about the Daily Disruptor, or if there are any specific topics you’d like us to cover, just send an email to dailydisruptor@banyanhill.com.
Don’t worry, we won’t reveal your full name in the event we publish a response. So feel free to comment away!
After 25 years of trading and teaching, $8 million in profits, and thousands of individual setups … there’s one killer edge I’ve kept close to my chest.
I’ve never shared this publicly, with anyone.
I’ve talked about everything else openly. My wins, my losses, and my most bone-headed mistakes. I’ve been the most transparent trader alive.
But I’ve held this one thing back, until today…
Partly because (if I’m being honest) I wasn’t sure the world was ready for it…
I’ve been teaching since 2008. I’ve created over 50 millionaire students. And every single one of them arrived at this same conclusion on their own, without me telling them.
They discovered it independently and came back to report the same finding.
Jack Kellogg started as a valet who barely knew what a stock was.
Last year, he averaged $25,722 per day. He turned a measly $7,000 into over $27 million in verified trading profits…

Matthew Monaco recently made $100,000 in one month … on one specific setup.
When it’s there, he takes it. When it’s not, he walks away. No exceptions.
Eduardo lost money for five years straight. His wife supported him the whole time.
Today, he’s approaching $3 million in verified profits. And he just bought a mansion with a small portion of his gains:

Tim Grittani started with $1,500 and turned it into over $16 million. More than double what I’ve made in half the time.
Mari became my first female millionaire student after stepping away from trading entirely and coming back stronger.

Tim Bohen was one of my first students. Now he runs StocksToTrade, the most technologically advanced trading platform on earth.
These are people with completely different backgrounds, ideas, and personalities. And of course, past performance doesn’t indicate future results.
But they all had the same answer to my question.
I’ve been sitting on this for years. Waiting for the right moment to share it.
So here it is…
The one thread that connects every millionaire student I’ve ever taught…
You ready?
APRIL FOOL’S!! 🤣
(I know it was yesterday, but I couldn’t resist.)
THERE IS NO SECRET.
Want to become a millionaire trader?
You have to follow the same four steps I’ve talked about every single day for two decades…
Here are the steps to take…
1. Cut Losses Quickly
Every trade gets a stop loss.
Every stop loss gets respected. When the stock hits your stop, you exit. Immediately. No holding and hoping.
Small losses are feedback. Big losses you refuse to accept are account killers. One horrible loss can wipe out weeks of gains.
2. Focus On The Best Setups Only
Only trade A+ setups. Small caps and micro caps with low floats.
If a stock doesn’t check all your boxes, don’t trade it.
Cash is a position. Patience is a skill.
3. Study, Study, STUDY!
You know what separates my millionaire students from the 90% who lose? The hours they put into studying.
Review past charts every weekend. Study former runners. Journal every single trade.
Losing traders spend more time scrolling social media than studying price action. Do the opposite.
4. Hold Yourself Accountable
Keep a trading journal. Log every trade. Review weekly.
When you catch yourself breaking a rule, own it. Don’t make excuses. Don’t blame the market.
You broke the rule. Acknowledge it, learn from it, don’t do it again.
If you have any questions, email me at SykesDaily@BanyanHill.com.
Cheers,

Tim Sykes
Editor, Tim Sykes Daily
Gold has a way of confusing people in the moment. When tensions rise or headlines turn dramatic, the expectation is that gold should respond immediately.
Sometimes it does. Often it doesn’t.
A more useful way to look at it is in terms of sequence rather than reaction. In prior periods, the move in gold tended to follow changes in other parts of the system — bond yields, currency markets and credit conditions.
Once those began to shift, gold usually reflected the adjustment with a lag.
That pattern is clear in three earlier periods: the 1930s, the 1970s and the 2000s. Looking at those episodes side by side offers a useful reference point for thinking about the current energy shock caused by the Iran conflict.
In the 1930s, the initial strain appeared in the banking system. Depositors withdrew funds, banks failed and credit contracted. The response came from policy.
In 1934, the U.S. government revalued gold from $20.67 to $35 per ounce, which effectively reduced the value of the dollar. Gold’s move reflected that change.
In the 1970s, the shift ran through the currency system. In 1971, Richard Nixon ended the dollar’s convertibility into gold.
Oil prices rose sharply later in the decade, inflation followed and interest rates climbed into double digits. Over that period, gold moved from $35 to more than $800 per ounce.
In the 2000s, the pressure came from credit markets. The unwind of the dot-com bubble gave way to a period of expanding leverage in housing and banking.
After 2008, central banks expanded their balance sheets to stabilize the system. Gold rose from roughly $250 in 2000 to around $1,900 by 2011.
Each of these periods began differently, but the structure was similar. Something in the system forced a repricing of money or credit. Policy responded. Capital adjusted.
Gold followed.
The price of Gold since 1913, when the U.S. government began tracking inflation. The chart below shows annual inflation rates from 1913 to 1919. This was a period of high inflation, as prices nearly doubled from 1913 to 1919, with an average inflation rate of 92.86% over those 7 years. (Source: inflationdata.com)

The majority of the inflation occurred between 1916 and 1919. 1913-1915 averaged 2% annual inflation, which is exactly what the modern-day FED considers optimal. But during that period, the gold price was fixed at $20.67 per ounce by law. (Source: inflationdata.com)
The current gold market did not begin with a single event. We began recommending gold to readers in 1999 after a substantial 20-year bear market. It began with a set of conditions that had been building over time.
The United States now carries approximately $38 trillion in federal debt. Annual deficits are running near $2 trillion. Long-term obligations tied to Social Security and Medicare add another layer to the picture.
These numbers matter because they require ongoing financing. Treasury securities must be issued continuously, and buyers must be willing to absorb that supply. When supply increases, yields tend to adjust to attract demand. As yields rise, interest costs increase.
So far, that process has remained orderly. But it changes how sensitive the system is to shifts in rates and funding conditions. And events like the current bombing escapade in Iran, temporary as that may be.
Foreign central banks continue to hold large amounts of U.S. assets. That hasn’t changed in a dramatic way.
What has changed is how new reserves are being allocated.
According to IMF data, the dollar’s share of global foreign exchange reserves has declined to 56.8%, the lowest level since the mid-1990s. This decline reflects growth in other assets rather than large-scale selling of dollar holdings.
Gold has been one of the assets receiving those incremental allocations. Central banks and sovereign wealth funds have increased purchases over the past several years, particularly in countries that are less closely aligned with the U.S. financial system.
Regulatory changes have also played a role. Under Basel III rules, implemented in 2023, gold is treated as a Tier 1 asset. That allows banks and central banks to hold it on similar terms to sovereign debt.
Taken together, these developments suggest that gold is being treated more as a reserve asset than it was in the decades immediately following Bretton Woods.
Another way to view gold is as a measure of purchasing power rather than simply a price.
Over time, the dollar has declined when measured against gold. In the mid-1990s, one dollar purchased more than 120 milligrams of gold. Today, it purchases fewer than 10.
This change reflects a series of decisions made over many years — persistent deficits, growing debt issuance and periodic efforts by central banks to stabilize markets through liquidity programs.
None of these decisions is unusual on its own. Together, they shape how the currency performs over time.
Disruptions tied to the Strait of Hormuz have affected shipping routes, insurance costs, and delivery times. Oil prices adjusted quickly, and inflation expectations followed.
Historically, energy shocks have often preceded economic slowdowns. Research by economist Tyler Goodspeed, covering several centuries of data, shows that war and energy disruptions frequently coincide with downturns.

Oil shocks tend to occur as the economy is entering or is about to enter a recession – and are typically accompanied by a selloff in stocks. (Source: Federal Reserve)
The role of policy in those periods is more complicated.
Central banks respond to rising prices, but their tools primarily affect demand rather than supply. Higher interest rates increase borrowing costs across the economy, even when the underlying issue comes from constrained supply.
How that interaction plays out tends to influence the pace of adjustment in both financial markets and the real economy.
One additional factor in the current cycle is the level of capital required for new infrastructure, particularly in artificial intelligence and energy systems.
Building data centers, expanding power generation and upgrading transmission networks all require significant investment. These projects depend on financing conditions, which are directly influenced by interest rates.
Estimates suggest that hundreds of thousands of additional workers will be needed in energy-related roles over the next decade to support this expansion.
This creates a situation in which higher rates, intended to manage inflation, can also slow investment in areas driving growth.
Some of the adjustment is already visible in credit markets.
Credit spreads in certain sectors have widened, reflecting changes in how lenders assess risk. Financial stocks have underperformed the broader market, a pattern that often occurs when funding conditions tighten.
Private credit markets have also shown signs of strain at the margin, as investors reassess liquidity and risk.
These are not unusual developments, but they provide a sense of how capital is beginning to move.
The current environment includes several elements that have appeared in earlier gold cycles:
At the same time, it includes factors specific to the present, such as the scale of infrastructure investment tied to new technologies. (See Grey Swan Live! below).
It is not necessary to assume a single outcome to observe how these pieces interact. In earlier periods, gold tended to move once adjustments in currency, credit, and reserves were already underway.
Those adjustments are now visible in several parts of the system.
Gold’s role, as has been true for 5,000 years, is simple: it’ll help you build and maintain your wealth through all the short-medium term economic crises, market booms and busts.
Addison Wiggin
Grey Swan Investment Fraternity
P.S. A massive alternative to gold as the monetary unit of choice, in our view, is of course bitcoin, which you may have heard referred to as “digital gold.”
From a portfolio perspective, this is not an “either/or” regarding which assets to choose; it’s “yes/and.” A small allocation will do. And if bitcoin, despite its wild swings, continues to outperform other assets over time, you’ll be glad to have taken a small stake.
In that light, the Dollar 2.0 digital assets like USDC and USDT are early attempts to harness blockchain technology to increase the market share of U.S. dollar and Treasurys.
Tether’s XAUT is a similar effort to tokenize gold. All of these innovations are awaiting passage of the Clarity Act through the U.S. Senate.

In tomorrow’s Grey Swan Live! we’ll be chatting up these digital assets with Ian King. Ian’s got his pulse on the latest technologies and the crypto space, both of which could be surprise winners in the months ahead, especially if we get some, ahem, clarity, from the Clarity Act.
I still remember the first time I used the internet.
It was the mid-1990s, sitting in my college dorm room, listening to that familiar AOL dial-up tone while waiting for a single web page to load. Even checking a stock price could take long enough to make you wonder if it was worth it.
Back then, speed was the limiting factor. The internet worked, but just barely.
Then things started to change. Connections got faster, pages loaded instantly and something that felt experimental became something you used every day.
AI seems like it’s at a similar moment right now.
Up until recently, if you wanted to run a powerful AI model, you needed access to a data center. That meant expensive hardware, specialized chips and a constant draw of electricity just to keep it running.
But Google Research recently published a paper that could cut the cost of running every AI model on earth by 80%.
It’s called TurboQuant.
And once you understand what it does, you understand where the next $100 billion in AI infrastructure savings could come from.
Right now, the AI boom is running into a very real constraint.
Not intelligence, but cost.
Companies like Microsoft (Nasdaq: MSFT), Alphabet (Nasdaq: GOOG), Amazon (Nasdaq: AMZN) and Meta (Nasdaq: META) are spending at a pace that would have been hard to imagine just a few years ago.
This year alone they’re expected to spend around $665 billion on data centers, chips and power just to keep these systems running.

The logic behind all this spending is sound.
If you want better artificial intelligence, you need more compute. And more compute requires more servers, more GPUs and more energy.
But TurboQuant suggests that the next leap in AI will get you the same results with far less infrastructure.
To understand why, it helps to understand how AI models are built.
At their core, these models are just enormous collections of numbers. Those numbers store what the system has learned, and the more detail they contain, the more reliable the model becomes.
That’s why most systems store those numbers using about 16 bits of information.
TurboQuant can cut that down to as little as 2 bits.
Normally, that would break the model. The answers would degrade, outputs would become unstable and the whole system would stop being useful.
What Google figured out is how to shrink the model without losing the information that actually matters.
Instead of compressing everything the same way, it treats different parts of the model differently. The important parts keep more detail. The rest get compressed much more aggressively.
Then it puts everything back together so the system still produces consistent results.
The end result is a model that behaves much like the original, but is dramatically smaller.
In some cases, up to 8X smaller.

Source: Google
And that’s where this stops being a technical story and starts becoming a financial one.
Because building these models is only part of the cost.
The real expense comes from running them.
Every time you ask a model a question, it has to run through specialized hardware and draw power while it does it.
That’s why companies are pouring so much money into data centers. Because this current generation of AI needs enormous infrastructure just to keep up with demand.
TurboQuant changes that equation.
Smaller models need less memory, less hardware and less energy to run.
Which means the same data center can handle more work. Or the same workload can run on much cheaper systems.
That’s where the potential $100 billion in savings comes from.
Not from eliminating data centers…
But from needing less of them to do the same job. And in some cases, not needing them at all.
Because once models get small enough, they don’t have to live in a data center anymore.
They can run on your laptop.
As we’ve talked about before, when the cost of something drops, people don’t use less of it. They use more.
When cloud computing got cheaper, companies didn’t scale back. Instead, they built more software. When bandwidth expanded, people didn’t use the internet less. They simply streamed more videos.
AI will likely follow the same path.
If these models become cheap enough to run locally, companies likely won’t slow down their investments.
They’ll expand them.
They’ll run more models, in more places, across more workflows. And they’ll start putting AI into systems that never could have supported it before.
Right now, most advanced AI systems live inside large, centralized data centers.

Image: Hanwha Data Centers
But as models get smaller and more efficient, that won’t always be the case.
They’ll start running closer to the user. On local machines, embedded systems and edge devices that don’t rely on constant cloud access.
That’s exactly what I saw from companies like Lenovo and Motorola at CES this year, and it’s the direction Apple is moving in with its latest devices too.
TurboQuant won’t replace the data center.
But it will reduce how dependent we are on it.
And over time, that should expand adoption even further.
For the past two years, the playbook has been simple. Spend more on compute, get better results.
What Google is showing with TurboQuant is that efficiency can move the needle too.
That creates a different kind of advantage.
The companies building AI infrastructure today might not end up spending less going forward. But they could start getting a lot more out of every dollar they put in.
If that happens, AI adoption should move faster, not slower.
Because once the cost of intelligence drops far enough…
People will find more ways to use it.
Regards,

Ian King
Chief Strategist, Banyan Hill Publishing
Editor’s Note: We’d love to hear from you!
If you want to share your thoughts or suggestions about the Daily Disruptor, or if there are any specific topics you’d like us to cover, just send an email to dailydisruptor@banyanhill.com.
Don’t worry, we won’t reveal your full name in the event we publish a response. So feel free to comment away!
2 OTC stocks spiked out of the gate on Monday…
Hyped by 1 BIG trader.
I’m talking about a billionaire almost every trader knows about.
And the hype worked.
It wasn’t exactly an old-school billionaire play.
That’s when a billionaire announces an investment in a company and the stock goes parabolic.
In the case of these two OTCs, the billionaire has invested since at least 2013.
But when you see his X post…
You’ll see why I took one of my easiest trades in months…
On Monday (March 30), Fannie Mae (FNMA) and Freddie Mac (FMCC) both spiked right out of the gate.
And it had all the looks of a classic “billionaire play.”
The most important thing to know today is…
1. A billionaire invests in a company (usually, there’s a press release).
2. It creates a sheep-like “buy, buy, buy” mentality where uninformed investors buy just to follow the billionaire.
3. Over time, billionaire plays often sell off, following the long kiss goodnight.
So, was this a classic billionaire play?
Not exactly.
In this case, Bill Ackman of Pershing Square Capital Management tweeted…

Source: X
In a follow-up tweet, Ackman wrote…

Source: X
The main difference between Bill Ackman hyping FNMA and an old-school billionaire play is that he’s been invested in FNMA and FMCC for years.
Pershing Capital has owned nearly 10% of both companies since 2013.
So, Ackman is invested for the long-term.
But…
Right out of the gate on March 30, both FNMA and FMCC gapped and ran…

Source: StocksToTrade
FNMA, 2-day, 1-min candles, billionaire play.
FMCC is usually a sympathy play to FNMA. Notice how similar the charts look…

Source: StocksToTrade
FMCC, 2-day, 1-min candle, billionaire play.
Crazy, right?
Now check out the 2-year charts for FNMA and FMCC. Pay attention to the green candle on the far right of both charts.

Source: StocksToTrade
FNMA 2-yr, daily candle.
As you can see, it was a big one-day move for both stocks (And the only catalyst was the tweet)…

Source: StocksToTrade
FMCC 2-yr, daily candle.
I took a small trade (and I forgot how much easier OTC plays are).
It was a nice and easy single to start the week. I miss OTC morning spikers because the action is so clean.
We definitely need more of these!
The FNMA and FMCC moves weren’t old-school billionaire plays. But the hype and price action was very much the same (and THAT is key).
Here’s how to spot the next one:
• Pay attention to the news and watch for breaking headlines.
• Understand that hype can spike a stock, but it’s still just a trade. Trade the pattern and price action.
• Don’t chase. Remember, historically, these things come back down.
• Always follow rule #1 and cut losses quickly.
If you have any questions, email me at SykesDaily@BanyanHill.com.
Cheers,

Tim Sykes
Editor, Tim Sykes Daily
Unable to fetch posts or feed is empty.
Do you have old college textbooks lying around? You can probably make some money off of them and help someone else avoid paying the full cost for a new textbook by selling your used textbooks.
When I was in college, I bought used textbooks all the time from online sites. I don’t think I ever bought a new textbook because they were always crazy expensive. And, I always resold the ones I bought, because they always fetched such a high price for almost no effort (plus, I had no use for them after the semester ended).
In this article, I’m going to share:
Here’s how you can sell your used textbooks and make extra income.
Here are the best places to sell used textbooks.
World of Books is a popular online used-book retailer that buys back used textbooks. They give you an instant quote via barcode or ISBN (they even have an app where you can simply just scan the back of your textbook to get a price) and also give you a prepaid shipping label, so you don’t have to pay for shipping.
Payment is usually received within a few days of arrival via PayPal, bank transfer, or check.
World of Books also buys other types of books, such as children’s books, nonfiction, fiction, and more.
Please click here to see how much you can sell your textbooks for at World of Books.
Recommended reading: World of Books Review: Is It Worth It To Sell Your Used Books?
If you want to sell your textbooks fast and have recently bought them, your college bookstore will likely buy them back for the next class of students (if the professor decides to switch books, though, then your college bookstore may not accept them, so in that case, you will want to try selling them online instead).
This is usually the easiest, fastest, and most guaranteed way to get cash back from your textbooks, but it usually pays the least.
Please note that some college bookstores don’t even pay you real cash and offer store credit instead, which can be helpful if you’re still in college. But if you’re not in college anymore, then only getting store credit probably isn’t a good choice.
College bookstores buy back books that have minimal highlighting, no torn off papers, and clean covers. Current or widely used editions are usually the only types of books accepted by college bookstores.
Bookscouter.com is not a website where you can sell textbooks; instead, it does all of the heavy lifting for you by telling you which website will buy your textbook for the most money. This website compares buyback offers from dozens of textbook buying websites, so you don’t have to check websites individually to see where you’ll get the most money. BookScouter tells you instantly where the best offers are.
There’s no cost to use BookScouter, so you can compare and find the best prices for free. It even shows you who’s paying the most after shipping is factored in.
BooksRun is a popular textbook buyback and resale service where students can sell or buy/rent used textbooks. The site has been around for a few years, with many users reporting good experiences, with ease of use and fast shipping being some of the top comments.
BooksRun also buys other types of books, like fiction books, not just college textbooks.
TextbookRush is a popular online buyback and textbook resale website. It works similarly to other textbook buying websites, where you enter your book’s ISBN, and they give you an immediate quote. TextbookRush gives you a prepaid shipping label, so you can ship the book and eventually get paid via PayPal or check.
Condition matters, so books with a lot of highlighting, notes, or damage can get downgraded in price or rejected altogether, so keep that in mind when selling your used textbooks.
Valore is another online textbook buyback and resale platform. The platform is easy to use, as you simply input your book’s ISBN to check if they’re buying the book and for how much.
Valore also provides a shipping label, so you don’t have to pay for shipping fees. There are multiple payout choices, such as PayPal, check, or store credit. Their buyback prices are pretty competitive compared to other textbook buying/selling websites, so keep that in mind.
eCampus.com is a popular textbook buying website and is easy to use. You simply enter your book’s ISBN to get a free quote online, and if they’re buying your textbook, they’ll provide a free shipping label so you can mail it back to them.
Once they receive your textbook, you’ll get paid out via check, direct deposit, PayPal, or store credit (which sometimes pays out slightly more).
Facebook Marketplace is one of the best places to sell used textbooks because you keep 100% of the money you make. You don’t have to ship anything or pay any hidden/extra fees, and you can meet with students right away to sell textbooks if they’re in your area.
You’ll want to post high-quality, clear photos of your textbook showing the cover, ISBN, and any damage the book has. If your book has any bonuses like access codes, workbooks, etc., make sure to include that.
You can also try selling your used textbooks in local college Facebook groups, textbook buy/sell groups, and student housing groups.
Please remember to choose a safe, public place to meet, like inside a library or at the police station (some police stations even have a safe area for buy/sell meetups).

Here are some frequently asked questions about selling used textbooks.
The best place to sell your used textbooks depends on what you’re looking for. If you want the easiest option, and you recently bought your book and you know you need more for next semester, then simply heading to your college bookstore may be the best option. But, if you are no longer in college and your college bookstore will not accept your book, or if you want to make a little more money, then selling the textbook yourself may earn you a little more money.
To get the best price when selling your used textbooks, compare prices across the most popular textbook buying/selling sites so you can see where you’ll get the biggest payout. BookScouter does a great job of doing this.
The best time to sell textbooks is right before a semester starts, as that’s when students are buying textbooks. July, August, and December are some of the best months to sell used textbooks. Also, I recommend that you remove anything that doesn’t belong in the textbook, such as sticky notes or loose-leaf paper, and wipe down the cover to make it look as clean as possible.
Selling used textbooks on Facebook Marketplace in college towns is one of the most popular spots to get good money for your old books.
Amazon’s textbook buy-back program ended in 2020. This was a program where they bought textbooks and paid with Amazon gift cards. If you want to sell your textbooks through Amazon, it’s a bit more complicated now since you’d have to create an Amazon seller account and list your used textbook with the ISBN, condition, and ship it as well. Most people are probably better off using one of the actual textbook buying/selling websites. If you have a lot of used textbooks to sell, then selling on Amazon may work for you, though. It really just depends on how much effort you want to put toward this.
Barnes & Noble buys back textbooks, but only in certain situations, and not all locations participate in this program. Their buyback program works by submitting your book’s ISBN online to get a quote and then shipping it with a prepaid shipping label. They pay you either by check or PayPal once Barnes & Noble receives and accepts your book. Whether or not they buy your book depends on the book’s demand and availability of the book.
If you’re looking to sell your used books for cash near you, I usually recommend trying your local college bookstore or listing your books on Facebook.
The best place to sell your used textbook online depends on one main thing – how long do you want to spend selling the book? If you have some time, then listing the textbook yourself will earn you more money because you’re not splitting the sale with anyone else. But, if you’re looking to make money fast without having to deal with customers, then selling to a site like World of Books may be worthwhile.
I hope these tips and resources helped you find ways to sell your used textbooks.
Doing this is a great way to make money off things you don’t use anymore while helping students save money on supplies they need. Whether you’re a student right now trying to sell old books to pay for next semester’s books or were a student years ago, selling your old college textbooks can be a great idea to make extra money.
Here’s a recap of the best places to sell used textbooks:
I have bought and sold many used textbooks over the years, and I highly recommend doing so if you want to save and make money as well.
Where are you going to sell your used textbooks?
Recommended reading:
The post 8 Best Places To Sell Used Textbooks appeared first on Making Sense Of Cents.
Looking for the best jobs that AI won’t replace?
If you’ve been seeing news articles about AI taking over jobs, you’re not alone. I’ve been seeing it a lot, and I’ve also received messages from readers who are worried about what work will look like in the next few years. They wonder if they should switch careers, learn a new skill, or start something on the side just in case.
Here’s the good news: I think there are many jobs that AI won’t replace anytime soon. AI can be a helpful tool, but it still can’t do a lot of the things that matter most in real life – like working in person, fixing something with your hands, or making a decision when things get messy.
Below are jobs that are hard to automate because they require hands-on work, people skills, and real-life decision-making. If you’re looking for a job with a stable future, here are some good options to look into!
Electricians install, repair, and maintain electrical systems. This can include fixing outlets, replacing panels, running wiring, installing lights, and troubleshooting why something isn’t working (we actually had an electrician at our house recently, and it took him a couple of hours to figure out what was wrong; he has been an electrician for decades!).
Yes, AI might help diagnose issues, but someone still has to do the work safely on-site. Electrical mistakes can cause fires or injuries, and homes can be full of surprises like old wiring or DIY fixes from past owners.
Plumbers install and repair pipes, sinks, toilets, water heaters, and drains. They may fix leaks, clear clogs, replace broken parts, or install plumbing for new builds and remodels.
Plumbing problems usually happen at the worst time (right?!), and that’s why AI can’t “take over” this job.
A computer can suggest what the issue might be, but it can’t crawl into a tight space, cut pipe, replace fittings, test for leaks, and make sure everything is safe. A lot of plumbing work is hands-on problem-solving after all, which is what keeps this job safe in an AI world.
HVAC techs install and repair heating and cooling systems, including furnaces, air conditioners, vents, and thermostats.
Heating and air conditioning systems are physical equipment, and that’s a big reason this job will stay around. When someone’s heat goes out in winter (or AC in summer), they need a person who can actually fix it.
Funny story: I recently had an AC issue in my house. I went to ChatGPT to see if it was something that I could fix (I called a few AC companies, but it was the weekend and very hot, so I just couldn’t wait!), and I gave it the issue I was having. ChatGPT told me what was most likely causing the issue. I realized it wasn’t something that I could personally fix. I didn’t tell them that I researched the issue, but they came, looked at it for maybe five minutes and came to the exact same conclusion on what was broken. But, guess what? You still need an AC person to actually fix the issue! So, that is why I don’t think this job will be going away any time soon.
Carpenters build and repair structures like walls, floors, cabinets, trim, decks, and more. Contractors may manage full remodels, plan projects, hire help, and handle materials and timelines.
This type of work requires hands-on skill, measuring, cutting, fitting, and adjusting. A computer might help plan, but it can’t actually do the work. And, yes, I’ve seen the videos of machines 3D printing homes, but I think we’re a long way away from that being the norm.
Cars break down and the repairs need human hands. Even if software gets smarter, someone still has to diagnose the problem and fix it correctly.
Mechanics inspect, diagnose, and repair vehicles. This can include brakes, engines, batteries, tires, sensors, and more. Even with better technology, someone still has to physically inspect the car, diagnose the issue, and fix it safely.
Welders use heat and tools to join metal parts together for things like construction projects, manufacturing, ships, and repairs.
This is hard for AI to replace because it’s hands-on work where precision and safety matter, and every job can be a little different depending on the materials and the project.
A home inspection requires a person walking through a real house and noticing real problems.
Home inspectors check roofs, foundations, electrical systems, plumbing, and more. They write reports to help buyers understand the condition of a home. So, that’s hard to really automate.
Nurses care for patients, give medications, monitor symptoms, help with recovery, and communicate with doctors and families.
AI can help with reminders and notes, but nursing is still a people job. When someone is scared or sick, they need a real person. I think it would be very hard for AI or computers to replace this job anytime soon.

NPs and PAs diagnose illnesses, create treatment plans, and work closely with patients.
These jobs involve high-level care and decision-making, and that’s not something AI can replace.
Healthcare is also full of gray areas. Patients have different needs, and care decisions require judgment and responsibility.
PTs help patients improve strength, balance, and movement. OTs help people build skills for daily life, like dressing, cooking, or working after an injury.
Therapy is hands-on and relationship-based, as you can probably tell from the descriptions above. A real person watches how you move, adjusts the plan, encourages you, and keeps you safe.
Speech therapists help kids and adults with speech, language, and communication skills. They may also help with swallowing issues.
Speech therapy takes patience, creativity, and human connection, and that’s hard for AI to replace.
I have talked to many speech therapists over the years, and they all agree that doing speech therapy in person is typically best (even just doing it over the internet through a video call is hard and may not lead to the best results). This is because you are interacting with a real person who is showing you exactly what you’re doing and how to fix it. They can watch your mouth and tongue placement in real time, correct you right away, and change the approach if you’re confused or frustrated. That kind of feedback and encouragement is hard to copy with AI.
Therapists help clients work through stress, anxiety, depression, relationships, grief, and more.
People want to talk to a real person who understands them, and that’s a big reason therapy work is hard to replace.
This job relies on trust, empathy, and real conversation. AI might help with tools, but it can’t replace a real relationship and professional judgment.

Teaching isn’t just giving information. It’s helping kids learn, behave, feel safe, and grow.
Teachers plan lessons, teach skills, help students who are struggling, and manage a classroom. They also communicate with parents and staff.
My daughter is in school, and I personally could never imagine AI trying to replace preschool teachers – it would be impossible! I see teaching jobs being very safe for well into the future.
Special education teachers create personalized learning plans, support students with different needs, and work with families and other professionals.
This job is very personal and is different every day, which is why it’s hard to automate.
Students need patience, creativity, and real-time support. A computer can’t replace a human connection.
Tutors help students understand subjects, practice skills, and feel more confident in real time with real motivation and help.
Yes, AI can explain a math problem, but it can’t always motivate a student or notice what they’re not understanding.
A great tutor adjusts to the student, explains things in different ways, and keeps them encouraged.
Parents want a real person watching their child, and that is definitely not changing any time soon.
Childcare providers care for kids, keep them safe, feed them, play with them, and follow routines – a computer cannot do this.
Emergencies are unpredictable, and this job happens in the real world. That’s a big reason this career stays human.
Situations change fast, and this job requires judgment, quick decisions, and hands to do the work. This is not something AI can replace.
This work is physical, dangerous, and full of unpredictable situations. Firefighters respond to fires, accidents, rescues, and emergencies.
Fires and emergencies aren’t controlled environments, and a computer cannot do the job – this is a hands-on job.
Officers respond to calls, handle conflicts, protect people, and enforce laws.
Public safety involves judgment and human interaction, and it can’t be automated safely.
Police officers make decisions in complicated situations where emotions and context matter. This is a hands-on job.
Social workers connect people with resources like housing help, food support, counseling, and safety services. They may work with families, schools, hospitals, or government agencies.
People’s lives are complicated, and this job requires empathy, trust, and problem-solving. This would be hard to replace with AI.
A hairstylist cuts hair, and this job is, of course, hands-on and personal.
People like the human touch, the conversation, and the trust. Also, I couldn’t imagine letting a machine near me with scissors, ha!
Chefs and cooks prep food, cook meals, manage timing, and keep kitchens running. Some also plan menus and order supplies.
Kitchens are also unpredictable. People want food that tastes good and looks right, which also depends heavily on humans.
Construction managers coordinate workers, manage timelines, order materials, and keep projects moving. They also talk with clients, subcontractors, and inspectors to make sure the work is done correctly and safely.
This is a job where you usually need a real person on-site because job sites are always changing, and problems pop up fast. AI can help with planning and schedules, but it can’t walk a site, see an issue, and make a quick decision when something goes wrong.
Project managers plan work, coordinate teams, track deadlines, and solve problems.
And, managing people is one of the hardest things to automate. Humans have emotions, miscommunications, and changing priorities.
A computer can make a timeline, but it can’t fully handle the human side of work – conflict, motivation, priorities, and decision-making.
Below are answers to questions you may have about jobs that AI won’t replace.
This is a tough question to answer. I don’t think everyone will lose their jobs (the news has been really doom and gloom about this lately, I feel like), but there may be fewer positions or different responsibilities in job industries like data entry and online customer service. That being said, I really dislike AI customer service, so hopefully companies stop switching to this because I don’t think it’s currently working! (I think many jobs may transform and change to account for AI in the future – for example, workers may use AI to improve their workflow and save time, which means they will have time for other tasks).
I think some work-from-home jobs will change, especially if the job is mostly answering simple questions or following the same process or routine each day. But jobs that need a lot of strategy, managing people, building relationships, or decision-making can still be good choices.
Healthcare jobs are growing because more people need care as the population gets older. Skilled trades are also growing because many workers are retiring and fewer people are entering these fields.
Medical jobs that require hands-on care and real-time decisions most likely won’t be replaced anytime soon. This includes jobs like doctors, surgeons, nurses, physical therapists, occupational therapists, speech therapists, EMTs/paramedics, and mental health counselors.
Finance jobs that rely on trust and judgment are harder to replace. Financial planners who analyze real-life plans, tax professionals who handle complicated situations, accountants who advise business owners, and compliance/risk roles are examples. People want a trusted expert when it comes to big money decisions, especially when the situation isn’t simple. Yes, some things in finance can be streamlined with AI, but I think that just means that jobs may adjust or transform in the future – not that they will go completely away.
Many high-paying jobs are in healthcare and the trades, especially once you gain experience or specialize. Nurse practitioners, physician assistants, and physical therapists can earn good incomes. Skilled trades like electricians, plumbers, and HVAC techs can also pay very well – especially if you become a business owner (and start your own plumbing company, for example).
I hope you enjoyed my article on the best jobs that AI won’t replace.
AI is changing work, but I don’t think it’s replacing everything. There are many jobs that still need real people.
And, that is even true for the business that I run. Some like to believe that AI has killed blogging and running websites … I definitely think AI has changed things, but the truth is, I still have to be the one behind the screen making the big decisions. I’m the one choosing what topics to write about, what advice makes sense for my readers, what’s actually true, and what stories to share from my own life. AI content is usually really low quality, and while I think some things need to change so that we aren’t forced to read AI slop anymore, I don’t think AI has killed blogs. AI can help with small tasks, but it can’t replace real experience and real connection with an audience.
That’s the same reason so many of the jobs in this list are “safe” – they depend on a human showing up, thinking on their feet, and helping in a real way.
If you’re feeling worried, pick one job idea from this list and take one small step this week, like looking up training in your area or talking to someone who does that work.
What do you think of this list? What other jobs would you add? Any jobs you’d remove from this list?
Recommended reading:
The post 24 Jobs AI Won’t Replace (That Still Need Real People) appeared first on Making Sense Of Cents.
Do you want to learn how to start an Etsy printables shop from scratch?
Are you wondering what you should actually do first – and if it’s still possible to make money selling printables today?
Selling digital products like printables can be a great way to make extra income online. You don’t have to worry about inventory, shipping, or returns, and you can create a product once and sell it over and over again.
But one of the biggest questions I hear is: Where do I even begin?
Today, I’m excited to share an interview with Cody, a successful Etsy seller who has turned printables into a thriving business. He’s been featured here on Making Sense of Cents before – How I Made $6,161 in Just 4 Months With a New Etsy Printables Shop. He’s been selling printables for years and has helped thousands of students start their own Etsy shops – even if they had no design experience.
In this interview, you’ll learn:
If you’ve been thinking about starting an Etsy printables shop but feel overwhelmed or unsure where to begin, this interview will help you better understand the first steps to take.
I also recommend signing up for the Earn Money Selling Printables free training. You’ll learn printable ideas, how to get started on Etsy, and how to actually make sales. Additionally, you can sign up for Cody’s free ebook, which shares his secret list of best-selling products month by month.
Do you want to make money selling printables online? This free training will give you great ideas on what you can sell, how to get started, the costs, and how to make sales.
This interview is for you if you want to learn how to start a new printables business right now.
I started selling printables on Etsy after trying a lot of different side hustles.
At the time, I was always experimenting with ways to make extra money online. I had tried things like freelance writing, building websites, and a few other small side hustles, but nothing really stuck.
Then my friend Julie Berninger mentioned that she was selling printables on Etsy and had made several thousand dollars in a relatively short amount of time. That caught my attention immediately.
The funny thing is, if you knew me, I would probably be the last person you’d expect to start a printable shop. I’m not naturally artistic, and I had never designed anything before. But what I liked about the idea was how simple the business model was. You create a digital product once, upload it to Etsy, and customers can download it instantly. There’s no inventory, no shipping, and Etsy handles the payment and delivery automatically.
So I decided to give it a try.
At first, it was just an experiment. I started creating simple designs and learning how Etsy search works. Over time, I got better at designing products, identifying niches, and improving my listings. Eventually, my shop started gaining traction and turning into a real source of income.
What I love most about selling digital products is the scalability. Once the product is created, it can be sold over and over again without additional work. I’ve had countless days where I wake up to sales that happened while I was sleeping or traveling.
More recently, I even started a brand-new Etsy shop from scratch just to see if it was still possible to succeed today. That shop made over $6,000 in its first four months, which showed me that the opportunity is still very real for beginners.
Since then, I’ve also started teaching others how to create and sell digital products on Etsy, and it’s been amazing to see people launch their own shops and start generating income from products they create once and sell repeatedly.
If I were starting a brand-new Etsy printables shop today, the very first thing I would do is research the marketplace before creating any products.
One of the most common mistakes beginners make is designing something they think people will want and then trying to sell it. Instead, I like to start by figuring out what people are already searching for on Etsy.
The Etsy search bar is actually one of the best research tools available. When you start typing in a phrase, Etsy shows suggested searches based on what real customers are looking for. That gives you a good starting point for understanding demand.
From there, I start looking for opportunities to niche down. Etsy is a huge marketplace, and trying to compete in a very broad category can be difficult for a new shop. Instead, I look for smaller niches where the competition is lower, but there are still people actively searching for products.
For example, instead of creating a general budget planner, you might focus on something more specific, like a budget planner for teachers, college students, or families with young kids.
Once I find a niche that looks promising, I study the existing listings. I look at how many reviews the top listings have, what the designs look like, and what features customers seem to like. Then I think about how I could create something that improves on what is already there.
Doing this research first makes a huge difference. Instead of guessing what might sell, you are creating products that are already aligned with what Etsy buyers are looking for.
Before making anything, I would focus on validating the idea first.
Like I mentioned earlier, I would usually start with the Etsy search bar. When you begin typing a phrase, Etsy shows suggested searches based on what real customers are looking for. That makes it a great starting point for identifying potential product ideas.
From there, I would click into the search results and start studying the listings that appear. I look at things like how many reviews the top listings have, what the designs look like, and whether the products seem to be selling consistently. This helps me get a quick sense of whether there is real demand for that type of printable.
But if I really wanted to dive deeper into the research, I would also use a keyword research tool like eRank. Tools like this can give you estimates of how many people are searching for a particular keyword each month and how competitive that keyword is on Etsy.
That information can be extremely helpful because it allows you to spot opportunities where people are actively searching for something, but there are not thousands of competing listings.
By combining what you see directly on Etsy with keyword data from a tool like eRank, you can make much more informed decisions about what kinds of printables to create.
As I always say, “the riches are in the niches”.
If I were starting from scratch and wanted to avoid wasting time, I would focus on finding a product type that already performs well on Etsy and then niche down within that product.
For example, instead of trying to come up with something completely new, I might start with a product category that already has strong demand, like gift tags, invitations, planners, games, or templates. These are products people consistently buy on Etsy.
From there, the key is to niche down at the product level. Instead of creating something very general, I would look for ways to target a specific use case, audience, or occasion.
One important thing I want to point out is that your entire shop does not have to revolve around a single niche. It is perfectly fine to sell different types of products in the same shop. For example, a shop might sell invitations, printable games, planners, and templates. What matters more is that each individual product is focused on a specific niche, so it is easier for the right buyer to find it.
Personally, I like to use what I call the Template Method. I start by creating a base design for a product, such as a printable invitation. Once I have that template, I use keyword research to identify different niches and occasions where that product could work.

Then I create multiple variations using the same template. For example, an invitation template could be adapted for birthdays, baby showers, graduations, holidays, and many other occasions.
This approach allows you to create products much faster because you are not starting from scratch every time. It also helps you build a larger catalog of listings, which increases the chances of your shop being discovered on Etsy.
One of the biggest mistakes beginners make is creating products without doing any research first.
A lot of people start by designing something they personally like and then hope it will sell. The problem is that Etsy is a search-driven marketplace. Most sales come from buyers searching for something specific, so it is important to create products that people are already looking for.
Another common mistake is choosing ideas that are far too broad. For example, someone might create a general planner or a generic printable wall art design. Those categories are extremely competitive, which makes it hard for a brand-new shop to stand out.
This is why niching down is so important. Instead of targeting a broad category, it is usually better to create something designed for a specific audience, occasion, or use case.
I also see beginners spend a lot of time trying to come up with a completely unique idea. In reality, many successful Etsy products are variations of things that are already selling well. The goal is not to reinvent the wheel. The goal is to find something that people already want and create a version that serves a specific niche.
Another mistake is expecting immediate results after listing just one or two products. Some sellers do have success with only a few listings, but in most cases, momentum plays a big role. Each new listing is another opportunity for your shop to appear in Etsy search and reach potential buyers.
Over time, continuing to add new products gives you more chances to make sales and helps your shop gain traction.
Once I picked a niche, the next thing I would do is look at what types of products are already performing well within that niche.
For example, if I decided to focus on something like teacher-related printables, I would search Etsy and look at the types of products that appear repeatedly. I might see things like classroom planners, teacher appreciation gift tags, classroom organization labels, or printable games for students.
When you start seeing the same types of products over and over again, that is usually a good signal that buyers are actively purchasing them.
From there, I would choose one product type to start with and create several variations of it. I prefer focusing on one product style at first because it allows me to work faster and build momentum.
This is where the Template Method I mentioned earlier comes into play. I will create a base design for that product and then adapt it for different niches, occasions, or audiences using keyword research.
For example, if I started with a printable gift card holder, I might create variations for teacher appreciation, baby showers, birthdays, holidays, and thank-you gifts. Each variation targets a different search phrase while using the same core design.

This approach helps you build multiple listings quickly without having to reinvent the design every time. It also increases your chances of showing up in Etsy search because each listing targets a slightly different keyword.
As you continue adding variations, you start building momentum in your shop and increasing the number of opportunities for buyers to discover your products.
I would start by creating one really strong base template, and then quickly expand that into multiple listings.
When I create a new product type, I usually spend a few hours designing a high-quality base template. I want that core design to look polished and professional because it will become the foundation for many different listings.
Once that base template is finished, creating new variations becomes much faster. In many cases, I can adapt the same template into a new product in about 10 to 15 minutes by changing the wording, colors, occasion, or niche.
For example, if I designed a gift tag template, I could quickly create versions for teacher appreciation, baby showers, birthdays, holidays, and thank-you gifts. Each variation targets a different keyword but uses the same core design.
By changing the text, graphics, and background elements, I can usually create a new product from my base template in about 10 to 15 minutes instead of spending hours designing something completely new.
I try not to recommend a specific number of listings because every shop grows at a different pace. Some sellers see success with only a few products, while others need a larger catalog before things really start to take off.
What I focus on more is momentum.
Each new listing you create is another opportunity for your shop to appear in Etsy search and reach a potential buyer. The more products you have available, the more chances you have for someone to discover your shop.
That is why I encourage beginners to keep creating and listing products consistently, especially in the early stages. Even if a listing does not take off right away, it still adds to your overall catalog and helps you learn what buyers respond to.
This is also where the Template Method can be helpful. Once you create a strong base template, you can often turn that into many different product variations fairly quickly. That makes it much easier to grow your shop and build a solid collection of listings over time.
And the reality is, it only takes one product gaining traction to start generating meaningful side hustle income. Many successful Etsy shops get a large portion of their sales from just a handful of listings.
The biggest factor in getting found on Etsy is using the right keywords.
Most buyers do not browse Etsy randomly. They usually search for something specific, like “baby shower games printable” or “teacher appreciation gift tags.” Etsy’s algorithm looks at the words in your listing to decide when your product should appear in those search results.

Because of that, I spend time researching the keywords buyers are actually using. I start by looking at the Etsy search bar suggestions and studying listings that are already performing well in that category. This gives me a good sense of the phrases people are searching for.
If I want to go a step further, I will also use a keyword research tool like eRank. Tools like that can show estimated search volume and competition levels for different keywords, which can help you identify opportunities where people are searching but the competition is not overwhelming.
Once I have a good keyword, I make sure it appears in important parts of the listing like the title, tags, and description. The goal is to make it very clear to Etsy what the product is and who it is for.
I also like to target specific search phrases rather than very broad keywords. For example, instead of trying to rank for something like “gift tags,” a listing might target something more specific, like “teacher appreciation gift tag.” These more focused keywords often make it easier for a new shop to get discovered.
When writing titles, tags, and descriptions, the main thing I focus on is using the exact phrases that buyers are searching for.
Etsy’s search algorithm relies heavily on keywords, so it is important to use language that clearly describes what the product is and who it is for. I usually start by identifying one main keyword phrase that I want the listing to rank for.
For example, if the product is a printable thank you card for your kids’ soccer coach, the main keyword might be something like “soccer coach thank you card.”
Once I have that primary phrase, I build the title and tags around it. I also try to include closely related keywords that buyers might search for. In this example, that might include phrases like “soccer coach appreciation card,” “coach thank you printable,” “end of season soccer coach gift,” or “team coach thank you card.”
The goal is not to stuff the listing with random keywords, but to use clear, relevant phrases that accurately describe the product.
I also try to keep the buyer in mind while writing the title and description. The listing should quickly communicate what the product is, who it is for, and when it might be used. If someone searching for a soccer coach thank you card immediately sees that your printable fits exactly what they need, they are much more likely to click on the listing and make a purchase.
In short, the goal is to make it very clear to both Etsy and the buyer exactly what the product is and who it is meant for.
In the beginning, I think the most important thing is simply getting your first products listed.
A lot of beginners get stuck trying to make everything perfect before they launch. They spend a lot of time worrying about things like their shop logo, branding, or having the perfect storefront design. While those things can be nice to have, they are not what drives sales on Etsy.
What really matters early on is creating products that people are searching for and getting those listings into your shop.
I usually encourage beginners to focus on three things first: researching good product ideas, creating a solid design, and using relevant keywords in their listings. Those are the things that will actually help your products show up in Etsy search and attract buyers.
Things like building a social media following, creating elaborate branding, or having a perfectly polished shop can come later. Many successful Etsy sellers make their first sales without doing any social media at all because most of their traffic comes directly from Etsy search.
Etsy shops tend to improve over time. The important thing in the beginning is to get started, gain experience with the platform, and begin building momentum with your listings.
If a new shop is getting very little traffic or no sales at first, the first thing I would do is look at the keywords in my listings.
On Etsy, traffic usually comes from search. If people are not seeing your listings, it often means your products are not matching the phrases buyers are searching for. I would go back and review the titles, tags, and descriptions to make sure they clearly target a specific keyword.
Sometimes, a small change to the wording of a title or tags can make a big difference in how Etsy understands your product.
The second thing I would do is continue creating new listings. Many shops start slowly, and it often takes time for Etsy to understand what your shop sells and where your products belong in search results. Each new listing is another opportunity to reach a buyer.
I also like to look closely at the search results for the keywords I am targeting. If the first page of results is filled with listings that have thousands of reviews, it may be a sign that the niche is very competitive. In that case, I might try niching down even further and targeting more specific search phrases.
Keep refining your keywords, improving your listings, and adding new products until you start finding the ideas that gain traction. You’ll get better with practice and time.
Even if sales are still slow, there are several signs that a new Etsy shop is moving in the right direction.
One of the first things I look for is increasing views and visits to my listings. If people are starting to find your products through Etsy search, that usually means your keywords and product ideas are beginning to align with what buyers are looking for.
Another positive sign is when one particular listing starts getting noticeably more attention than the others. You might see one product getting more views, favorites, or even a few early sales while the rest of your listings remain quiet. When that happens, it is usually a signal that you are onto something.
Instead of trying to reinvent the wheel, I like to lean into what is already working. If one product is getting traction, I will often create as many variations of that idea as possible. That might mean adapting it for different occasions, audiences, sports, professions, or events.
A lot of sellers make the mistake of abandoning something that is starting to work because they want to try completely new ideas. In many cases, the better strategy is to build on that early success and see how far you can take it.
Sometimes one strong product or idea can turn into dozens of listings once you start creating variations.
My biggest advice would be to stop waiting for the perfect moment and just get started.
A lot of people spend months thinking about opening an Etsy shop. They research product ideas, watch videos, and read articles, but never actually take the first step. The truth is that you will learn far more by creating your first few listings than you ever will by continuing to research.
To be honest, my first listings didn’t sell at all. My first ~20 products made a whopping zero sales because I had absolutely no idea what I was doing. But every listing taught me something new about how Etsy works and what buyers are actually searching for. Within a few months of opening my shop, things finally started to click, and I had my first $700 week.
I also think people underestimate how exciting those first few sales can be. Even making your first $5 from something you created can feel incredibly rewarding. It is a small amount of money, but it represents something bigger. It shows that it is possible to make money outside of your regular job.
That realization can be really powerful. For me, it completely changed the way I thought about earning income and building freedom.
Once you see that first sale come through, it often becomes much easier to stay motivated and keep building from there.
The course I teach is called The E-Printables Course, and it walks people step by step through how to start a business selling printables online.
Inside the course, we cover everything from generating product ideas and researching keywords to designing printables and setting up Etsy listings so buyers can actually find them. The lessons include over-the-shoulder video tutorials that walk through the full process from idea to finished product and live listing.
Students also get access to 30+ done-for-you Canva templates that they can customize and list in their own shops. These templates make it much easier for beginners to get started because they don’t have to design everything from scratch.
One of the parts students tend to love most is our VIP Community. Inside the community, new students get access to thousands of other Etsy sellers who are building their shops together. We also have a team of Etsy experts who host live Q&A sessions, shop audits, monthly challenges, and ongoing training to help members continue improving their shops.

That community aspect makes a huge difference because starting an online business can feel overwhelming when you’re doing it alone. Having a group of people who are asking questions, sharing wins, and helping each other troubleshoot problems creates a lot of motivation and accountability.
Over the years, we’ve had thousands of students go through the course, and it has been amazing to see what they’ve accomplished. Some students have made their first sale within days of starting, others are now covering their mortgage payments with their side hustle income, and some star students have even quit their day jobs.
For me, coming from the personal finance space, I truly believe selling digital products is one of the easiest ways to start generating passive income. Seeing our students do exactly that every single day is incredibly rewarding. One phrase we live by at Gold City Ventures is, “Create it once, sell it forever.”
You can sign up for a free workshop on how to make money by selling printables by clicking here.
Do you want to make money selling printables online? This free training will give you great ideas on what you can sell, how to get started, the costs, and how to make sales.
Have you ever thought about opening an Etsy printables shop? If so, what’s the biggest thing holding you back?
Recommended reading:
The post If I Started an Etsy Printables Shop Today, Here’s Exactly What I’d Do appeared first on Making Sense Of Cents.
Are you looking for an easy way to sell used books without listing them online? In this World of Books Review, I’m sharing what it was like to scan books around my home, see instant prices, and decide what was worth sending in.
If you’re like me, you probably have way more books than you realize.
Kids’ books you’ve read a hundred times, paperbacks you grabbed at the airport, cookbooks you never opened, and maybe even a few old textbooks from school. They end up on shelves, in closets, in storage bins, and sometimes in random piles around the house.
And at some point you look at them and think, “Okay … can I sell these and make some extra money?”
The problem is that selling books can be a pain.
You can list them one by one on an app, take photos, write descriptions, answer messages, deal with people asking if it’s still available, and then meet up or ship things out. That’s a lot of work for something that might only make a few dollars.
So I decided to test World of Books, a popular site where you can sell used books.
World of Books is interesting because it’s basically two things:
So it’s kind of like a loop: People sell books they don’t want anymore, and other people buy used books. If you’re trying to declutter, it’s also nice knowing your books might actually get used again instead of sitting around forever.
In my World of Books review, I’m going to walk you through my experience – including what I liked, what surprised me, how much my books were worth when I scanned them, and whether I think World of Books is worth it.
And if you do want to try it, use code MAKINGSENSE15 – it gives you an extra 15% on your trade, which is an easy way to increase what you earn. Please click here to start scanning books with World of Books.
My quick World of Books opinion: If you want a fast, easy way to sell a pile of books without listing them one by one, World of Books is a great option. They even give you a free shipping label!
Below is my World of Books review and what I think of this platform.
World of Books is a company that sells used books online, and they also buy books directly from people.
So instead of you listing your books for sale and waiting for someone to buy them, World of Books gives you an offer upfront.
Here’s the simple version:
On the other side, World of Books sells used books on its main store website. That’s why you’ll see two different sites:
If you’re here because you want to declutter and make some money, the selling side is the main thing we’re talking about in this World of Books review.

The biggest thing I like is how easy the app is to use.
I can literally walk around my house, grab books from shelves, scan them, and instantly see if they are worth anything.
No guessing.
No typing.
No taking pictures.
No listing.
Just scan → price pops up.
I’m going to be honest: A lot of the books I scanned were worth 25 cents to 50 cents.
For example, I scanned a bunch of kids’ books and saw offers like:
That’s not a lot of money, but it also makes sense. A lot of kids’ books and common paperbacks are everywhere. If a book is super common, it usually won’t sell for much.
Not every book was worth a quarter.
I noticed that books that were more “wanted” paid more, and textbooks can pay more too. So if you have old college textbooks sitting around, it’s definitely worth scanning those.
Even some random nonfiction books can sometimes pay more than you’d expect, depending on what people are searching for.
Even though some books were only a small amount, the total can still add up when you scan a lot of them.
The total value came to $17.97 in my cart.
The app makes it easy to see:
So if you’re someone who wants a fast way to see what your stuff is worth (without a bunch of work), that part is great.
If you’ve never used a book buyback site before, don’t worry. The process is pretty straightforward.
You can use:
I liked the app because scanning is fast.

Once you’re in the app, you scan the barcode on the back of the book.
If the book is something they want, you’ll see an offer right away.
If they don’t want it, they will tell you why, such as that they already have too many of them.
I really liked how easy it was to scan a book, and then you can decide right then and there if it is worth it to you. I was able to scan around 40 books in just a matter of minutes!
As you scan, each book gets added to your cart with:
And you’ll see your total value.
This is where you decide:
When you’re ready, you finalize your trade.
This is when you choose how you want to get paid.
World of Books can pay you through bank transfer, PayPal, or check.
They have packaging guidelines, and I recommend taking this seriously because books can get damaged during shipping, and you want them to arrive in good condition.
If you’re shipping books, I recommend:
World of Books gives you free shipping for trades.
You’ll just have to follow their instructions for the shipping label and drop-off.
When World of Books gets your books, they check the condition.
So if a book is:
… it may not qualify, and they won’t pay you for it. Items that they do not want are not returned to you; instead, they are recycled.
This is why I recommend reading their condition guidelines here before you send your books in.
After World of Books processes your trade, you get paid!
World of Books is mainly for books (nonfiction, fiction, kids, textbooks, etc.), but they also buy other items, such as:
The easiest way to know what they want is simple:
Scan it.
If it shows a price, they want it.
If it doesn’t, they don’t.

Here’s my honest list.
Pros:
Cons:
If you want to get the best results with World of Books, here are my tips.
Don’t guess what’s worth money.
Scan it first, then decide if it’s worth sending.
If a book is falling apart, it’s probably not worth the risk.
As you scan, put books into two piles:
This keeps you organized and saves time.
Books can get damaged during shipping.
A little extra care with packaging can help protect your payout.

Even though this is mainly a “sell your books” review, I think the buying side is worth mentioning because it’s part of what makes World of Books different.
World of Books also sells used books online. I browsed what they had for sale, and I saw a lot of really great prices on books that I would definitely buy myself.
So if you’re a reader who likes to:
… then the store side can be useful too.
You can see what books they have for sale by clicking here.
Below are answers to some common questions you may have about World of Books.
It depends on the book. You just need to reach a minimum value of $7.50 before you can complete your trade.
Yes, it’s free to download the app and scan books to see the prices. World of Books also provides the shipping label. Everything is free!
No, you can use the website too. But the app is faster if you have a lot of books because scanning is so easy.
Yes, they usually do. Textbooks are expensive when new, and students look for used options.
World of Books gives free shipping for trades through FedEx and USPS. You’ll want to follow their instructions for packaging and shipping.
World of Books pays you through PayPal, bank transfer, or check.
World of Books usually pays you within 3 to 5 business days after your items are received and processed at their warehouse.
World of Books buys kids’ books, textbooks, CDs, DVDs, games, fiction, nonfiction, and more, and it also depends on demand. The easiest way to know is to scan the book. If you see an offer, they want it!
Books should be in decent condition. I recommend that you avoid sending books that are heavily damaged, missing pages, water-damaged, or full of writing.
They inspect the books, so there may be cases where not everything qualifies … and they won’t pay you for it. Items that they do not want are not returned to you; instead, they are recycled. This is why reading the condition guidelines and packaging well is important.
Yes, you can scan kids’ books. Just know that many common kids’ books have low payouts.
It depends on your goal. If you want the easiest way to declutter and make some money, then I think it is worth it. If you want the most money per book, you may want to try another option.
I hope you enjoyed my World of Books review.
If you want a quick and simple way to scan books around your home and instantly see what they’re worth, World of Books makes that part very easy.
I liked that I could scan a barcode and see a price within seconds, without creating listings or dealing with buyers.
Just know going in that many books will be worth less than 50 cents, and that’s normal for common titles. The books that are more wanted, and especially textbooks, can pay more, so it’s worth scanning everything before you decide what to send.
If you want to try it, you can start scanning by clicking here. Also, you can use the promo code MAKINGSENSE15 to earn an extra 15% on your trades.
Do you have any questions that you’d like me to answer in my World of Books Review? Have you ever sold a used book before?
Recommended reading:
The post World of Books Review: Is It Worth It To Sell Your Used Books? appeared first on Making Sense Of Cents.
Picking up dog poop probably isn’t the first business idea that comes to mind when you think about making extra money. But once you learn how a pet waste removal business works, it starts to make a lot of sense.
It’s a simple local service that people gladly pay for, it can be set up with low startup costs, and it can bring in recurring monthly income.
In today’s interview, I’m talking with William Milliken, who runs a pet waste removal company that has grown way beyond a small side hustle. He originally thought this would be a way to make around $1,000 a month, but it quickly turned into something much bigger.
In his first calendar year (2021), his company brought in over $260,000 in scooping revenue and had over 300 recurring customers. And in 2026, they hit their first month with over $400,000 in scooping revenue in a single month, and now service over 2,500 recurring clients across multiple states.
Here’s what you’ll learn in this interview:
I also recommend checking out Poop Scoop Millionaire. If you like William’s step-by-step approach, this is where he teaches the exact systems behind starting and growing a pet waste removal business – pricing, getting your first customers, billing, and building routes so you’re not wasting time driving all over town. It’s a good fit if you want a clear plan (and support) instead of piecing everything together yourself. You can learn more here: Poop Scoop Millionaire
If you want to learn how to start a pooper scooper business, this interview is a great place to get started!

I didn’t grow up dreaming about scooping dog poop. My background is in digital marketing, specifically marketing for home service companies.
I would partner with operators like electricians and garage door companies, own the business alongside them, and focus on getting the phone to ring and building the systems to scale quickly. Over time, we developed a repeatable playbook for turning local service businesses into structured, scalable operations.
My friend Levi, who I’ve known since elementary school, saw the success we were having and asked if we could start something together. The challenge was that he didn’t have a specific trade or construction background, so we needed a business model that didn’t require years of technical training.
Around that same time, my wife hired a dog waste removal company because I was busy with work and we had a baby on the way. The experience wasn’t great. Service was inconsistent, communication was weak, and billing felt disorganized.
That’s when it clicked.
The business itself was simple to start, it had recurring revenue, and the competition was not very sophisticated. I realized this wasn’t really about scooping dog poop. It was about building a professional, systemized, subscription-based home service in an industry that hadn’t matured yet.
Honestly, I did not have high expectations at the beginning. I thought maybe it would turn into an extra $1,000 per month on the side and give us something simple to run together.
But before I knew it, we were buying trucks, hiring employees, and realizing this was much bigger than a side project.
A pooper scooper business is a recurring home service where we visit customers’ homes on a set schedule, typically weekly or bi-weekly, remove the dog waste from the yard, dispose of it properly, and move on to the next property.
It is straightforward by design. The value is in consistency and reliability.
Our average customer pays a little over $110 per month. Pricing is based on the number of dogs, yard size, and how often we visit. Some customers prefer once per week, others every other week, and some choose multiple visits per week if they have several dogs.
Our client base is surprisingly broad. We serve elderly homeowners, disabled individuals, dual-income households, busy parents, and professionals who simply do not want to spend their limited free time doing a chore they dislike.
At the end of the day, people pay for this service because picking up dog poop is arguably one of the most hated chores of all time. It is recurring, messy, and easy to procrastinate. We remove that problem entirely so customers can enjoy their yard without thinking about it.

A solo operator can typically handle between 125 and 150 recurring accounts depending on route density and efficiency. With that many customers on weekly service, it is very realistic to build a six-figure business working alone.
For someone in their first 6 to 12 months, income depends heavily on marketing consistency and execution, but many operators can realistically build to 50 to 100 recurring customers within that timeframe if they treat it like a real business and not a side hobby. From there, it compounds because it is recurring revenue.
What makes the model appealing is the simplicity. Compared to other home service trades, overhead is low. You are not buying construction materials or carrying large equipment. The main consumables are bags and basic supplies. That keeps margins strong and operations straightforward.
You can also choose to scale beyond being a solo operator, which is what we did.
In our first calendar year in 2021, we generated over $260,000 in scooping revenue and had over 300 recurring customers. Fast forward to 2026, and we had our first month with over $400,000 in scooping revenue in a single month. Today, we service over 2,500 recurring clients across multiple states with full teams in place.
The opportunity exists on both ends of the spectrum. You can build a strong six-figure lifestyle business, or you can build infrastructure and scale into something much larger.
A typical day looks very different depending on the size of the company.
In the beginning, when you are a solo operator, most of your day is spent in the field. You are driving between homes, cleaning yards, responding to customer messages, handling billing questions, and promoting your business whenever you can. Marketing and route density become extremely important because driving time can eat up your margins if you are not careful.
In that stage, scooping and driving take the majority of your time. Customer communication and marketing usually fill the rest of your day, especially in the evenings.
As the company grows, the role shifts.
Today, my day-to-day looks very different because we have department managers who run the core functions of the business. We have an operations manager, marketing manager, office manager, location supervisors, and sales reps, customer service reps, and so on. My time is spent more on strategy, expansion, financial oversight, and leadership rather than field work.
The business can start as a hands-on, physical service job, but if built with systems, it can evolve into a management and leadership role.

We got our very first customers through local Facebook groups and simple door hangers.
In the early days, we would post in neighborhood groups offering weekly dog waste removal and respond quickly to anyone who showed interest. At the same time, we walked neighborhoods with a high concentration of dogs and left door hangers introducing the service. It was simple, direct, and effective.
Facebook groups are still one of the best ways to get your first 10 customers today. They cost nothing, and they allow you to tap directly into local communities. The key is not being spammy. You want to introduce yourself professionally, explain the service clearly, and respond fast.
Another strong strategy is what I call the “free trial” method. Offer a few people in your personal network a free cleanup in exchange for honest feedback and a review. That builds social proof quickly, which makes it much easier to convert future customers.
If you have some budget to invest in your business, our top three marketing channels today are Meta Ads, Google Ads combined with strong SEO, and truck wraps. Meta allows us to create demand and reach local dog owners directly. Google captures high-intent customers actively searching for the service. And truck wraps act as rolling billboards that build brand recognition in the neighborhoods we already serve.
We have also tested marketing ideas that completely flopped. At one point, we partnered with Pizza Hut and printed our ad on thousands of pizza boxes. On paper, it sounded perfect. Local families, high visibility, strong household reach.
We spent over $5,000 on the campaign and received zero calls. In hindsight, maybe dog poop and pizza were not the ideal marketing combination.
Yes, there is still a massive opportunity in this space.
In our first location, there are maybe 10 dedicated dog waste removal companies compared to more than 700 lawn care companies. That gap alone shows how underserved the market still is. It is a relatively young industry compared to other home services.
At the same time, consumer behavior is shifting. People are spending more money on their pets than ever before. Dogs are treated like family members, and pet-related services continue to grow year over year. We have also seen search volume for dog waste removal increase significantly over the past several years, which tells us demand is rising.
What makes this opportunity attractive is that it is simple, recurring, and scalable. It does not require licensing like many trades, startup costs are relatively low, and the service solves a problem that never goes away.
Every dog produces waste every day. That creates built-in recurring demand.
I always joke that the business would be too good to be true if you did not actually have to pick up dog poop.
Yes, this business can absolutely be started as a side hustle.
One of the advantages is that you can build your route around your availability. Many operators start by servicing customers in the evenings or on weekends while keeping their full-time job.
The key is structuring your service area properly. I like to take the overall territory and break it into five smaller regions, assigning each region to a specific day of the week. That keeps route density tight and reduces drive time, which is critical for profitability.
If someone only has weekends available, they can start with one or two concentrated areas and stack those customers together. As the route grows and income becomes predictable, they can gradually expand availability and eventually transition full-time if they choose.
The most important thing is to treat it like a real business from the beginning. Clear scheduling, consistent billing, and professional communication matter just as much at 10 customers as they do at 1,000.
Startup costs for a dog waste removal business are relatively low compared to most home service trades.
The minimum equipment you need to get started is a corona garden rake, a sturdy lobby dustpan, disposal bags, kennel grade disinfectant, reliable transportation, and a smartphone for scheduling and communication. If you already have a vehicle, you can realistically launch for a few hundred dollars.
When it comes to what beginners should skip, it is important to understand the difference between required and optional investments. You can absolutely accelerate growth with larger marketing spend on platforms like Google or Meta, truck wraps, and stronger branding. We have used all of those strategies to scale quickly.
However, none of that is required in the beginning. It is often smarter to test your market first, validate demand, and make sure the model works for you before dropping thousands of dollars into advertising. Start lean, prove it works, then reinvest profits into growth.
As for disposal, there are two common approaches, and we have tried both.
One option is hauling the waste away and disposing of it through a garbage company such as Waste Management. We have 4-6 yard dumpsters, fill them with collected waste, and have Waste Management pick them up on a schedule.
The other option, which we now use in all new locations, is double-bagging the waste with scented bags and placing it in the customer’s trash bin. In our experience, most customers do not care which method you use. They simply do not want to pick it up themselves. We saw nearly identical growth whether we hauled it away or left it in the customer’s bin.
In most areas, there are no special trade licenses required to start a dog waste removal business beyond your standard business registration and local city or county business licenses.
That said, I always recommend setting the business up properly from day one. Form your entity correctly, obtain any required local business licenses, and carry a solid general liability insurance policy. Even though the service is simple, you are entering private property regularly, and insurance protects you if something unexpected happens.
Where things can change is if you decide to offer additional upsells like certain types of odor control or sanitation services. Depending on the products used and how they are applied, some areas may require additional licensing or regulatory compliance. It is important to check local regulations before adding those services.
For basic dog waste removal, however, the legal setup is typically straightforward.
Pricing in this business is typically based on three main factors: the number of dogs, the size of the property, and how often you service the yard.
Most companies charge more for multiple dogs and larger yards, and they offer weekly or bi-weekly service options. Our average customer pays a little over $110 per month, but pricing varies by market.
One mistake beginners often make is underpricing. In the early stages, it is tempting to charge too little just to win customers. That usually leads to burnout and low margins. Pricing should reflect travel time, route density, and long-term sustainability.
Another tip that has helped our conversion rates is presenting pricing clearly. When customers see a per-visit price compared to a monthly total, they tend to focus on the lower per-visit number, which often increases signups.
Billing structure also matters more than most people realize. If you bill customers on longer intervals such as monthly, quarterly, or annually, you will typically see fewer cancellations. The less often someone is reminded of a payment, the less friction there is around it. Annual billing in particular can dramatically improve retention and cash flow.
Pricing is not just about what you charge. It is about how you structure and present it.
What I like most about this business is the consistency.
When you build a large base of recurring customers, you have predictable revenue. We generally know what the upcoming month will look like financially, which removes a lot of stress compared to project-based trades where you are constantly chasing the next big job.
That recurring structure allows you to focus on improving operations, customer experience, and growth rather than scrambling for sales every week.
And if I am being honest, it is also fun telling people we run a multi-million dollar business picking up dog poop. It always gets a reaction.
The challenges are usually operational.
It is a people-heavy business, which means you must have strong hiring, training, and retention systems in place. As you scale, the quality of your team directly impacts customer experience and churn. Without solid leadership and clear systems, growth can create problems instead of profits.
Demand can also be heavily influenced by the weather. In colder climates, for example, when snow melts in the spring, demand can spike dramatically because waste accumulates over the winter. (We call this peak poop pain season) Managing those seasonal surges while keeping staffing balanced takes planning.
From the outside, it looks simple. And operationally, it is. But building it into a multi-million dollar company still requires discipline, structure, and leadership.
Starting any business can be nerve-racking. The good news with this one is that the financial risk is relatively low. You can start with minimal overhead, validate demand, and scale from there. That lowers the pressure compared to businesses that require a large upfront investment.
As far as feeling embarrassed about the type of work, you might be surprised how many people genuinely love this business. There is something satisfying about building recurring revenue, running efficient routes, and creating something simple that works.
Of course, there will always be people who look down on it. That is true of almost any blue-collar or service business. I remember attending a business conference filled with doctors, lawyers, and other entrepreneurs. When conversations turned to revenue, our “simple” dog waste removal company was outperforming many of the more traditionally respected professions in the room.
That experience reinforced something for me. Income, freedom, and ownership matter more than status. If the numbers work and you are solving a real problem, the opinion of outsiders becomes much less important.
At a high level, starting a dog waste removal business follows a clear sequence.
First, set up the business properly. Form your entity, obtain your local business licenses, and secure general liability insurance. Even though the service is simple, professionalism from day one matters. It is also important for your own psychology. When you make the business legally legitimate, it stops feeling like a hobby and starts feeling real. That shift changes how you show up.
Second, purchase the minimum equipment needed to operate efficiently. A quality rake, lobby dustpan, disposal bags, kennel grade disinfectant, reliable transportation, and a smartphone are enough to begin.
Third, define your service structure. Decide how often you will offer service, how you will price based on dogs and yard size, and how billing will work. A clear structure prevents confusion later.
Fourth, choose and divide your service area. Break your territory into smaller route zones assigned to specific days. Route density is one of the biggest drivers of profitability.
Fifth, begin acquiring customers. Start lean, validate demand, focus on strong communication, and build early reviews. Recurring revenue compounds quickly once you secure your first base of customers.
Sixth, build systems. Scheduling, billing, route optimization, hiring processes, and customer communication systems are what turn a small operation into a scalable company.
Seventh, decide your growth path. Some operators stay solo and build a high six-figure lifestyle business. Others hire teams, expand into new territories, and scale into multi-location operations like we did.
The process itself is not complicated. What separates successful operators is consistency, pricing discipline, and systems.
For those who want a much deeper walkthrough, including exact equipment lists, pricing models, marketing strategies, software recommendations, and sales scripts, we teach the full framework inside the Poop Scoop Millionaire community.

Poop Scoop Millionaire is our paid membership community built specifically for dog waste removal business owners.
It is designed for two types of people: those who want to start correctly from day one, and existing operators who want to scale.
Inside the community, we have over 30 hours of structured courses covering business setup, equipment, pricing strategy, routing, software, marketing systems, sales scripts, hiring, retention, and scaling. Everything is based on what we have actually implemented while growing to thousands of recurring customers.
We also host two live training calls every single week where members can ask experienced operators direct questions about real challenges they are facing. Those conversations often go deep into marketing strategy, hiring issues, and scaling decisions.
With over 700 active members, the community has also developed real negotiating power within the industry. We have secured exclusive discounts on software, equipment, and key services that can often offset a significant portion of the membership cost. That buying power is something individual operators typically would not have on their own.
Beyond the training, the biggest value is the network. Members share wins, mistakes, marketing results, and financial benchmarks openly. It has become one of the most collaborative and transparent communities in the industry.
It is best for someone who wants to treat this like a serious business and dramatically shorten the learning curve.
Please click here to learn more about Poop Scoop Millionaire.
Would you try a “non-glamorous” business if it could make $100,000 a year?
Recommended reading:
The post How To Make $100,000 A Year With A Pet Waste Removal Business appeared first on Making Sense Of Cents.
Since 2009, I've been writing about all the ups and downs of my financial independence journey, the good and the bad. What I can clearly say is that who you partner with in life is one of the most important variables for achieving financial freedom. Get that right, and everything else gets easier. Get it […]
The post My Wife Took The Kids And Left Me – Thoughts Appreciated appeared first on Financial Samurai.
In a previous post, I debated whether it’s better to buy a home with a bigger lot or an amazing view. One key point was that unlike increasing livable square footage, it’s nearly impossible to create or improve a view. Sure, you could add a level to peek over surrounding houses. But building a 1,000-square-foot new level […]
The post How To Improve Your Home’s View With Foresight and Patience appeared first on Financial Samurai.
We all know that panicking is one of the ways investors lose money. Panic selling during the 2008–2009 global financial crisis may have put some investors into the permanent underclass. Not only did they lose money, they weren't able to benefit from the incredible recovery since. Panicking during the March 2020 lockdowns caused many people […]
The post How Panic Lost Me Money In A Non-Investment Way appeared first on Financial Samurai.
Since I started Financial Samurai in 2009, I have been on a mission to help readers achieve financial freedom sooner rather than later. And one of the core strategies I keep coming back to is encouraging readers to get neutral on real estate by first buying a primary residence. Once you have secured your primary […]
The post It Is Easier To Make Millions On A Home Than In Stocks appeared first on Financial Samurai.
One of the biggest fears workers have about retirement is losing their sense of purpose. That fear is not unfounded. It is one of the negatives of early retirement nobody likes talking about. For the first several months, maybe even a year, you may feel a little lost. The steady paycheck is gone. The camaraderie […]
The post Finding Purpose After Retirement Is Easier Than You Think appeared first on Financial Samurai.