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Welcome to the Investing News Network's weekly look at the best-performing Canadian mining stocks on the TSX, TSXV and CSE, starting with a round-up of Canadian news impacting the resource sector.
Statistics Canada released its March Labour Force Survey on Friday (April 10). The labor force news is a bellwether for the state of the Canadian economy and could be a factor in the Bank of Canada's next rate decision on April 29.
The data showed there was little change in Canada’s employment situation, adding just 14,000 jobs. Likewise, the employment and unemployment rates remained unchanged at 60.6 and 6.7 percent, respectively.
The biggest gains came in the “other services” sector, which includes personal and repair services, adding 15,000 jobs. This was followed by the natural resource sector, which added 10,000 new workers to the economy.
The biggest decline came in the finance, insurance, real estate, rental and leasing category, which shed 11,000 jobs.
The slight increase comes after the agency reported a significant 84,000 job loss the previous month. While economists see some positivity in the fact that numbers have stabilized from February, they were quick to note that it doesn’t indicate strength in the Canadian economy.
Looking forward, Canada’s consumer price index will be released on April 20, providing the Bank of Canada with some idea of inflation's direction before its meeting.
The Canadian economy is facing challenges as the US- and Israel-led war against Iran has pushed oil prices higher, and by extension, the cost of gasoline for consumers. Additionally, supply chain restrictions have had downstream effects, impacting commodity production and fertilizer prices, further fueling inflationary pressures.
Although oil prices eased somewhat from recent highs this week, tensions in the region remain high.
On Tuesday (April 7), US President Donald Trump announced that the US and Iran had reached an agreement on a two-week pause in fighting. Under the terms, the US would cease its bombing campaign against Iranian targets, and Iran would let ships pass through the Strait of Hormuz for a fee.
However, Iran has continued to throttle traffic through the strait citing Israel not ceasing bombing targets in Lebanon. The US and Israel have said that was not part of the agreement.
The actions have cast doubt on the success of peace talks, which were set to begin in Pakistan on Saturday (April 11).
Oil prices on Friday once again edged closer to US$100 per barrel. With Brent trading at US$96.45 and West Texas Intermediate reaching US$98.49 on Friday afternoon.
For more on what’s moving markets this week, check out our top market news round-up.
Canadian equity markets were positive this week.
The S&P/TSX Composite Index (INDEXTSI:OSPTX) gained 2.96 percent over the week to close Friday (April 10) at 34,695.76, while the S&P/TSX Venture Composite Index (INDEXTSI:JX) rose 4.29 percent to 992.22.
The CSE Composite Index (CSE:CSECOMP) gained 3.37 percent to 169.51.
The gold price was flat this week, rising just 0.01 percent to close at US$4,757.58 per ounce on Friday at 4:00 p.m. EDT. The silver price fared a bit better, closing the week up 1.73 percent at US$76.48 on Friday.
In base metals, the Comex copper price rose 4.38 percent this week to US$5.87 per pound.
The S&P Goldman Sachs Commodities Index (INDEXSP:SPGSCI) was down 4.6 percent to end Friday at 704.68.
How did mining stocks perform against this backdrop?
Take a look at this week’s five best-performing Canadian mining stocks below.
Stocks data for this article was retrieved at 4:00 p.m. EDT on Friday using TradingView's stock screener. Only companies trading on the TSX, TSXV and CSE with market caps greater than C$10 million are included. Mineral companies within the non-energy minerals, energy minerals, process industry and producer manufacturing sectors were considered.
Weekly gain: 103.51 percent
Market cap: C$41.15 million
Share price: C$0.29
Q-Gold Resources is a gold explorer focused on its Quartz Mountain project in Oregon, US.
The company acquired the project in April 2025, when it entered into a definitive agreement with Alamos Gold (TSX:AGI,NYSE:AGI) to acquire the property.
On Wednesday, Q-Gold's share price doubled after it released the maiden preliminary economic assessment for Quartz Mountain, which evaluated it as a two phase mining operation with a 14 year mine life and average annual production of 135,400 ounces.
The PEA reported a post-tax net present value of US$1.7 billion, an internal rate of return of 55.2 percent and a payback period of 1.8 years at a base-case gold price of US$3,265 per ounce.
The included mineral resource estimate for Quartz Mountain showed an indicated resource of 79.79 million metric tons of ore containing 2.01 million ounces of gold grading 0.78 grams per metric ton (g/t) and 2.9 million ounces of silver grading 1.13 g/t.
The project’s total inferred resource is 25.63 million metric tons containing 494,000 ounces of gold grading 0.6 g/t and 543,000 ounces of silver grading 0.66 g/t.
Weekly gain: 94.66 percent
Market cap: C$2.78 billion
Share price: C$11.29
G2 Goldfields is a gold explorer and developer working to advance projects in Guyana. The company’s founders were previously involved in the discovery, financing and development of Aurora, Guyana's largest gold mine. Zijin Mining (OTC Pink:ZIJMF,SHA:601899) acquired Guyana Goldfields, the owner of Aurora, in 2020.
G2’s flagship Oko-Ghanie gold project is located in Guyana’s Cuyuni mining district.
The company released a PEA for the project in December 2025, indicating a post-tax net present value of US$2.56 billion, an internal rate of return of 39 percent and a payback period of 2.6 years at a base-case gold price of US$3,000 per ounce.
The PEA’s updated mineral resource estimate showed an indicated contained gold resource of 1.62 million ounces from 15.57 million metric tons of ore at an average grade of 3.24 g/t, and an additional inferred resource of 1.91 million ounces of gold from 17.97 million metric tons grading 3.31 g/t.
Shares soared on Thursday after the company announced it entered into a definitive agreement to be acquired by G Mining Ventures (TSX:GMIN,OTCQX:GMINF). Once closed, the acquisition will consolidate G2’s Oko-Ghanie project and G Mining’s neighboring Oko West project.
The companies called the merger “synergistic,” as the combined properties will create a district-scale mining operation that, once complete, could produce an average of 500,000 ounces per year over the life of the mine with significant savings compared to the individual mine plans due to shared infrastructure.
Additionally, because the G Mining project is fully permitted, it is expected that development of G2’s property would be accelerated.
G2’s team will turn their focus to G3 SpinCo, a new entity that will own G2’s Peter’s Mine, Tiger Creek and Aremu West projects, all located in the broader Oko district.
Weekly gain: 45.45 percent
Market cap: C$158.81 million
Share price: C$0.32
Sherritt International is a vertically integrated producer of nickel, cobalt and ammonium sulfate fertilizer, with operations in Cuba, and Alberta, Canada.
The company has a 50/50 joint venture with the Cuban state-run General Nickel Company. Together, they run the Moa lateritic mine and processing facility in Cuba.
Output from the operation is refined at their processing plant in Fort Saskatchewan into nickel and cobalt. In its FY2025 report, Sherritt reported attributable annual production of 12,620 metric tons of nickel and 1,364 metric tons of cobalt.
Sherritt uses the remaining mixture to create ammonium sulfate fertilizer as part of its wholly owned fertilizer business, producing 227,766 metric tons of fertilizer during the year.
However, on February 17, the company announced it planned to temporarily halt mining and processing operations in Cuba due to fuel supply constraints in the country, and was uncertain when operations would resume. The company said it will carry out planned maintenance during that time.
Oil supplies reaching Cuba were impacted following the capture of Venezuelan President Nicolas Maduro by US forces on January 3. The US began a subsequent blockade on oil exports to Cuba in February, most of which comes from Venezuela and Mexico.
On Tuesday, Sherritt announced it closed a non-brokered private placement for total proceeds of C$43.5 million. The company intends to use the funds for general corporate purposes and to support operations and strategic initiatives.
Weekly gain: 45 percent
Market cap: C$16.36 million
Share price: C$0.29
Rockland Resources is a gold exploration company working to advance its Cole Gold Mines project in Ontario, Canada.
The project, located in Northwest Ontario’s Red Lake mining camp, hosted historic mine workings between 1926 and 1938. Multiple target areas have been identified at the property, defined by a combination of historic and modern exploration.
On Thursday (April 9) the company announced it had completed an expanded drill program at Cole. Rockland drilled 19 holes across 5,300 meters in what the company called the “most comprehensive modern exploration program” ever performed at the project.
The program was originally planned for 3,000 meters but Rockland expanded it in part to follow up visible gold at the new GSL zone. The company said that exploration had confirmed gold mineralization at multiple depths that are consistent with the broader Red Lake area.
Assays for the program are pending, Rockland said it will provide details when they become available.
Then, on Friday, the company announced it was opening a non-brokered private placement of 4.1 million units to raise proceeds of C$900,000, which it intends to use to fund activities at Cole and for general working capital.
Weekly gain: 40.35 percent
Market cap: C$35.19 million
Share price: C$1.60
Barranco Gold is an exploration company with exploration projects in British Columbia and Ontario, Canada.
Its King gold-copper project consists of eight mineral claims west of Kelowna, BC, in the Nicola Mining Division. Historic exploration of the property for copper and gold dates back to the 1960s, with more recent gold exploration conducted at properties to the west and south. Last September, the company outlined plans for Phase 2 exploration at the King project.
Additionally, Barranco acquired 16 mineral claims in Northwest Ontario's Reserve Island area last August. In December, the company announced plans for a mineral sampling program at its Ontario claims consisting of 100 samples over two historic areas. The program is expected to begin in early spring 2026, according to the release.
The company released a monthly progress report for the CSE on April 4, stating it has been “working on exploration plans and timing for its two projects.” Its share price has been on an upward trend since late March.
The TSX, or Toronto Stock Exchange, is used by senior companies with larger market caps, and the TSXV, or TSX Venture Exchange, is used by smaller-cap companies. Companies listed on the TSXV can graduate to the senior exchange.
As of December 2025, 898 mining companies and 71 oil and gas companies are listed on the TSXV, combining for more than 60 percent of the 1,531 total companies listed on the exchange.
As for the TSX, it is home to 175 mining companies and 51 oil and gas companies. The exchange has 2,089 companies listed on it in total.
Together, the TSX and TSXV host around 40 percent of the world’s public mining companies.
There are a variety of different fees that companies must pay to list on the TSXV, and according to the exchange, they can vary based on the transaction’s nature and complexity. The listing fee alone will most likely cost between C$10,000 to C$70,000. Accounting and auditing fees could rack up between C$25,000 and C$100,000, while legal fees are expected to be over C$75,000 and an underwriters’ commission may hit up to 12 percent.
The exchange lists a handful of other fees and expenses companies can expect, including but not limited to security commission and transfer agency fees, investor relations costs and director and officer liability insurance.
These are all just for the initial listing, of course. There are ongoing expenses once companies are trading, such as sustaining fees and additional listing fees, plus the costs associated with filing regular reports.
Investors can trade on the TSXV the way they would trade stocks on any exchange. This means they can use a stock broker or an individual investment account to buy and sell shares of TSXV-listed companies during the exchange's trading hours.
Article by Dean Belder; FAQs by Lauren Kelly.
Don't forget to follow us @INN_Resource for real-time updates!
Securities Disclosure: I, Dean Belder, hold no direct investment interest in any company mentioned in this article.
Securities Disclosure: I, Lauren Kelly, hold no direct investment interest in any company mentioned in this article.
The gold price was on the rise this week, breaking briefly through the US$4,800 per ounce level for the first time since mid-March before pulling back.
Silver trended upward as well, nearly hitting US$77.50 per ounce.
Both precious metals have seen price declines since the Iran war began, and were boosted this week by US President Donald Trump's announcement of a two week ceasefire.
I've been seeing a lot of questions about why gold and silver prices have gone lower, not higher, since the war broke out, and I think it's definitely a topic we should continue examining.
I heard recently from Dr. Mark Thornton of the Mises Institute, who said the decline in gold happened because the yellow metal is doing its job. Here's how he explained it:
"There's a small subset of market participants who are going to want to sell gold at the outbreak of the war, not buy gold. And so people in the Persian Gulf, in the Levant, Syria, Israel, Palestine, Jordan, the Gulf states, we would expect them to be selling gold to finance their governments, or to finance their businesses or to raise cash and get the heck out of there. So in terms of emergency, while we're all anticipating in the long run that the price of gold is going up — and I believe it will — in the short run, those people exited the industry, causing even further downturn in the price of gold.
"So gold proved to be what it's advertised to be: a hedge against risk and troubled times and all of that. We just have to pay attention to who is facing the greatest risk and what they're going to do about it."
What does that mean for gold and silver prices moving forward? The broad consensus among the experts I've been speaking to is that the bull run isn't over.
And interestingly, some central banks seem to be taking advantage of the pullback, with Chinese gold reserves last month recording their biggest rise since February 2025.
But given the global geopolitical uncertainty, it's tough to know when prices will ramp up again.
At the time of this writing, the ceasefire was on rocky ground, with Israel continuing to attack Lebanon, and the Strait of Hormuz still essentially closed.
Oil prices remain volatile, and although they took a hit when the ceasefire was announced, the long-term impact of the strait's closure is expected to be meaningful.
One beneficiary so far has been Russia, with calculations from Reuters showing that its oil tax revenue is set to double in April as demand for Russian oil grows.
I spoke to Dr. Marc Faber of the Gloom, Boom & Doom Report, who said while he's not particularly interested in buying stocks right now, oil companies do have some appeal: "If I have to buy stocks, I would buy some oil stocks, but I think I would also buy some mining companies. Although I think that the mining stocks are not acting well, that they will go down first."
Faber is a frequently requested guest, and I was excited to speak to him for the first time. Gold was of course another topic he covered, and while he thinks it could go lower, the context is key — he anticipates a broader decline in asset prices, with gold likely faring better than most:
"I don't think I'm a gold bug, but in my asset allocation — I've written about this for the last 40 years — I have about 25 percent of my assets in gold and 25 percent in real estate, and 25 percent in stocks and about 25 percent in bonds and cash.
"I feel the most comfortable with gold, but I want to stress here that I don't think that gold will necessarily go up in an environment of tightening liquidity. But it may go down less than other items, and it may be relatively safe."
M&A is in the air, with G Mining Ventures (TSX:GMIN,OTCQX:GMINF) announcing plans to acquire G2 Goldfields (TSXV:GTWO,OTCQX:GUYGF) in an all-stock deal.
The transaction, worth an estimated US$2.13 billion, will bring together G Mining's Oko West project and G2’s Oko-Ghanie project, both located in Guyana.
The companies say the combined asset will have the potential to produce over 500,000 ounces on a life-of-mine average basis, with first output from Oko West targeted for H2 2027.
Also on the M&A front, American Ocean Minerals and Odyssey Marine Exploration (NASDAQ:OMEX) said they plan to merge to create a deep-sea critical minerals platform.
According to the companies, the resulting entity will be worth US$1 billion, and will focus on deep-sea critical minerals research and resource extraction. The leadership team will include former Rio Tinto (ASX:RIO,NYSE:RIO,LSE:RIO) CEO Tom Albanese.
The move comes as critical minerals gain increasing importance worldwide.
It also comes as the Metals Royalty Company (NASDAQ:TMCR) makes its Nasdaq debut — the firm's plan is to acquire critical minerals royalties and streams, and right now its only royalty is on the NORI deep-sea polymetallic nodule deposit.
Want more YouTube content? Check out our expert market commentary playlist, which features interviews with key figures in the resource space. If there's someone you'd like to see us interview, please send an email to cmcleod@investingnews.com.
And 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.
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.

Welcome to the Investing News Network's weekly brief on tech news and tech stocks driving the market.
We also break down next week's catalysts to watch to help you prepare for the week ahead.
Markets faced elevated geopolitical risk on Monday (April 6) after US President Donald Trump threatened to devastate Iran’s economy and infrastructure if the Strait of Hormuz was not reopened.
The president made the threats in posts on social media over the Easter weekend and set a deadline of 8:00 p.m. EST on Tuesday (April 7), after which the US would “rain down hell."
Amid reports of continued negotiations between the US, Israel, Iran and a group of regional mediators, US stocks closed modestly higher after volatile intraday trading.
Trump’s ultimatum and threat of large‑scale strikes if Iran failed to comply remained the central narrative on Tuesday as talks continued. Trading was mixed, with modest overall gains in the S&P 500 (INDEXSP:.INX) and Nasdaq Composite (INDEXNASDAQ:.IXIC), but weakness in the Dow Jones Industrial Average (INDEXDJX:.DJI).
Wall Street futures jumped almost immediately after a two week ceasefire agreement was announced at the 11th hour. Trading remained elevated after Wednesday’s (April 8) cash open as Iranian officials informed Reuters that the Strait of Hormuz could reopen in the coming days, lifting investor sentiment.
Wall Street closed sharply higher on Wednesday despite statements from Iranian parliament speaker Mohammad Baqer Qalibaf, who accused the US of violating three points of Iran's 10 point proposal.
Also on Wednesday, the US Federal Reserve released minutes from its March gathering, revealing that policymakers are increasingly considering interest rate increases. This shift in thinking comes as central bank officials adjust their 2026 inflation projections upward in response to war-induced oil price shocks.
Futures were in the red on Thursday (April 9), with investors questioning the durability of the ceasefire amid reports that shipping traffic through the Strait of Hormuz remained stifled.
Fresh US economic data showing higher‑than‑expected jobless claims, softer income and still‑firm core personal consumption expenditures price index data added to the cautious tone. Markets also faced a software drag after Anthropic’s launch of Claude Managed Agents, and as Meta Platforms' (NASDAQ:META) new artificial intelligence (AI) model reignited worries that agentic AI could disrupt traditional SaaS models.
Updates on negotiations between Israel and Lebanon during the session helped ease worries, ultimately allowing all three major US stock indexes to regain ground.
Stocks wavered on Wall Street on Friday (April 10) ahead of planned talks between the US and Iran in Islamabad, Pakistan, on Saturday (April 11). US stocks closed mixed on Friday, with the Nasdaq gaining on the session, while the Dow and the S&P 500 ended lower. The S&P/TSX Composite Index (INDEXTSI:OSPTX) ended higher.
Intel was the top performer, with a weekly gain of 35.43 percent.
Monolithic Power Systems, a fabless power management semiconductor company, saw a weekly performance improvement of 26.3 percent.
Lam Research, a semiconductor equipment manufacturer, saw a weekly gain of 26.25 percent.

Tech exchange-traded funds (ETFs) track baskets of major tech stocks, meaning their performance helps investors gauge the overall performance of the niches they cover.
This week, the iShares Semiconductor ETF (NASDAQ:SOXX) increased by 13.15 percent, while the Invesco PHLX Semiconductor ETF (NASDAQ:SOXQ) gained 12.58 percent.
The VanEck Semiconductor ETF (NASDAQ:SMH) increased by 10.9 percent.
Next week, financial sector earnings will offer insights into credit health, loan growth and investment banking performance. Taiwan Semiconductor Manufacturing Company's (NYSE:TSM) quarterly report will also serve as a vital indicator for global semiconductor and AI capital expenditures for 2026.
Macro data will provide a clearer view of wholesale inflation, impacting Fed policy considerations.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.

Here's a quick recap of the crypto landscape for Friday (April 10) as of 9:00 p.m. UTC.
Get the latest insights on Bitcoin, Ether and altcoins, along with a round-up of key cryptocurrency market news.
Bitcoin (BTC) was priced at US$73,170.23, up by 1.5 percent over the last 24 hours.

Ryan Lee, chief analyst at Bitget Research, sees digital assets trading in a “mature macro framework,” where short-term capital rotation is primarily shaped by inflation signals, energy prices and geopolitical stability.
Despite moderated near-term interest rate cut expectations following the latest US consumer price index (CPI) report, Lee argues that the Federal Reserve's balance sheet policy is still loose enough to keep overall liquidity from collapsing, which is helping risk assets avoid a disorderly repricing.
“BTC holding near US$71,000 despite oil volatility and renewed uncertainty around ceasefire durability suggests leverage remains controlled rather than stressed,” he explained.
“The price structure indicates selective allocation into higher-conviction positions as compared to broad momentum expansion, with traders avoiding aggressive directional exposure until macro visibility improves further.”
Gracy Chen, CEO of Bitget, says commodities are the most favorable sector in the current macro environment, with energy and industrial metals benefiting from supply tightness and inflation, and gold serving as a geopolitical hedge.
“For the crypto market, the picture is difficult,” she wrote in an email to the Investing News Network.
“Higher inflation means tighter dollar liquidity and less support for risk assets. BTC is holding up better than most, as it remains the main crypto asset for large investors and the easiest way to keep exposure when markets turn cautious; however, the CPI print gives bulls a strong reason to push higher," Chen continued.
“A 2 - 5 percent move up over the next week is plausible, but one report doesn’t change the broader trend. Hot CPI is more likely to keep BTC range-bound than trigger a fresh rally, while altcoins remain more exposed to pressure.”
Steve Ehrlich, CSO at SOL Strategies, believes Bitcoin is increasingly trading like a traditional risk asset, pulling the broader crypto market into macro-driven flows. In correspondence, he attributed this behavior shift to institutional integration and exchange-traded fund access, plus perpetuals and options amplifying market volatility.
Derivatives data points to a controlled backdrop, with open interest up about 4 percent over 24 hours, but flat on shorter timeframes. Liquidations have a slight skew toward longs and funding rates are marginally negative, suggesting traders are adding exposure without the kind of aggressive leverage that typically precedes sharp reversals.
Ether (ETH) was priced at US$2,254.40, up by 1.7 percent over the last 24 hours.
Hong Kong granted its first stablecoin issuer licenses to Anchorpoint Financial and Hongkong and Shanghai Banking under a new regulatory framework overseen by the Hong Kong Monetary Authority (HKMA).
This marks the HKMA’s first approvals under its stablecoin regime.
Bitget launched IPO Prime, a new specialized platform designed to give retail crypto investors access to pre-IPO companies that are typically only available to institutional investors or venture capitalists. The company chose preSPAX, a SpaceX-linked asset issued by the investment platform Republic, as its flagship debut.
The event is structured into an airdrop phase for VIPs on April 13. General users can subscribe and commit USDT during the commitment period from April 18 to 21. Token distribution and the start of OTC trading will be on April 21.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, 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.

The precious metals sector is in a bull market: gold is holding firm above US$4,000, silverhas broken records, and platinum could face a near-million-ounce shortfall in 2025.
With geopolitical risks and institutional demand driving momentum, experts see opportunities for investors.
Download this Precious Metals report for expert forecasts, key market drivers and stocks to watch now.
| ✓ Trends | ✓ Forecasts | ✓ Top Stocks |
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At the same time, not a single word of the content we choose for you is paid for by any company or investment advisor: We choose our content based solely on its informational and educational value to you, the investor.
So if you are looking for a way to diversify your portfolio amidst political and financial instability, this is the place to start. Right now.
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Before deploying an AI based EA in a live trading environment, it is essential to test it extensively on demo accounts. This ensures that the bot behaves as expected under various market conditions and allows us to fine-tune Stop Loss, Take Profit, and other risk parameters without risking real capital. At 4xPip, our AI based EA was trained with over 10 years of historical candlestick patterns, technical indicators, and news event data, which makes demo testing highly reliable for assessing live performance.
Infrastructure also plays a critical role in performance. A stable VPS, reliable internet, and broker compatibility are prerequisites for seamless execution. The 4xPip AI based EA supports all account types and brokers, including ECN, Standard, Raw, and Micro accounts, across MT4 and MT5. Despite advanced AI training with Machine Learning, Deep Learning, and Reinforcement Learning, human oversight remains important to monitor unusual market conditions. Awareness of potential limitations like overfitting or data dependency ensures the EA performs optimally, and 4xPip provides support to integrate these solutions safely and efficiently.
An AI-based Expert Advisor (EA) revolutionizes trading by combining advanced Machine Learning, Deep Learning, and Reinforcement Learning with over a decade of historical market data. Unlike static rule-based systems, AI EAs dynamically learn patterns from candlesticks, technical indicators, and news events to predict optimal Buy, Sell, Entry, Exit, Stop Loss (SL), and Take Profit (TP) levels. Platforms like MetaTrader (MT4/MT5) allow 4xPip’s AI EAs to execute trades with precision and speed, reducing slippage and improving risk management. By continuously analyzing real-time market data alongside historical trends, the EA adapts to evolving market conditions, dynamically adjusts trade sizes, and optimizes stop and target levels. With proper infrastructure, demo testing, and human oversight, these systems provide traders with a reliable, data-driven approach to execution and risk control in both forex and crypto markets.
4xPip Email Address: services@4xpip.com
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Financial markets are often described as a balance between structure and randomness. At times, markets behave in a highly organized way where price movements follow clear trends and predictable patterns. During other periods, price action becomes noisy and chaotic, making conventional technical indicators far less reliable. One of the biggest challenges traders face is determining when a market is structured enough to trade and when it is dominated by randomness.
Most traditional trading tools such as moving averages, oscillators, and momentum indicators focus exclusively on price movement itself. While these tools can help identify entry signals, they rarely measure the degree of disorder or uncertainty present in the market. As a result, many trading systems apply the same strategy regardless of whether the market environment is trending, consolidating, or chaotic. This often leads to poor signal quality, frequent false entries, and inconsistent trading results.
To address this limitation, we can introduce a more scientific approach based on information theory. Information theory, originally developed by mathematician Claude Shannon, provides a framework for measuring uncertainty within a system. By applying the concept of Shannon entropy to financial markets, we can quantify how random or structured price behavior is at any given time. When entropy is low, price movements tend to be organized and directional, which often favors trend-following strategies. When entropy rises, the market becomes increasingly unpredictable and trading signals become less reliable.
In this article, we will develop a Market Entropy Indicator, a trading tool designed to measure and visualize the informational structure of financial markets. The indicator transforms raw price movement into discrete states like up, down, and neutral and calculates the entropy of those movements across multiple time horizons. By analyzing how entropy evolves over time, traders can identify transitions between trending conditions, transitional phases, and chaotic environments.
The final result is a practical trading indicator implemented in MQL5 that provides regime detection, compression and expansion analysis, and structured buy and sell signals. Throughout this article, we will walk through the complete development process, including detailed code explanations and practical trading examples.
The Market Entropy Indicator is designed to measure the informational structure of market price movements. Instead of relying purely on price direction or momentum, the indicator analyzes the distribution of price movements within a given time window. By examining how frequently prices move up, down, or remain relatively unchanged, we can quantify the level of uncertainty in the market.
The core idea is rooted in Shannon’s entropy formula, which measures the unpredictability of a system. In the context of trading, entropy tells us how random the sequence of price movements is. A market that consistently moves in one direction will produce a low entropy value, indicating strong structural order. Conversely, a market where price frequently alternates between up and down movements will generate higher entropy values, signaling greater randomness.
To apply this concept to market data, we first convert continuous price changes into three discrete states. Each new price bar is categorized as either an upward move, a downward move, or a flat movement. This classification is controlled by a small price threshold that filters out insignificant noise. Once this state-based representation of price is created, the indicator counts the frequency of each state within a rolling time window and applies the entropy formula.
The entropy values are normalized between zero and one to create a standardized measure of market uncertainty. Low entropy values typically correspond to trending markets where price movements are organized. Moderate entropy values indicate transitional conditions where the market is neither strongly trending nor fully chaotic. High entropy values represent highly random price behavior where trading signals become unreliable.
To make this information usable for traders, the indicator divides the market into three distinct regimes. When entropy falls below a lower threshold, the system identifies a trend regime, where directional trading strategies are likely to perform well. When entropy falls within a middle range, the market enters a transition regime, where traders should be more selective with entries. When entropy rises above the upper threshold, the market is labeled chaotic, signaling that price movements are dominated by randomness.
Beyond basic entropy measurement, the indicator also incorporates multiple analytical layers. These include short-term and long-term entropy calculations, entropy momentum, and divergence analysis between fast and slow entropy curves. These additional metrics help detect structural changes in the market before they become visible through price action alone.
Another important component of the system is compression and decompression analysis. When entropy steadily decreases, it often indicates that price movement is becoming more organized and compressed, potentially leading to a breakout. When entropy rapidly increases, it signals the release of stored market energy, often resulting in strong directional moves or volatile expansions.
The final indicator presents this information through a visual interface consisting of a histogram, multiple entropy curves, and signal markers. By observing how entropy evolves across timeframes and conditions, traders gain a clearer understanding of when the market is favorable for trading and when it is best to remain on the sidelines.
To implement the Market Entropy Indicator in MetaTrader 5, we begin by defining the indicator properties and visualization parameters.
#property indicator_separate_window #property indicator_buffers 10 #property indicator_plots 4 #property indicator_label1 "Entropy Histogram" #property indicator_type1 DRAW_COLOR_HISTOGRAM #property indicator_color1 clrGreen, clrYellow, clrRed #property indicator_label2 "Fast Entropy" #property indicator_type2 DRAW_LINE #property indicator_color2 clrLime #property indicator_label3 "Slow Entropy" #property indicator_type3 DRAW_LINE #property indicator_color3 clrOrange #property indicator_label4 "Entropy Momentum" #property indicator_type4 DRAW_LINE #property indicator_color4 clrCyan
This section defines how the indicator will appear on the trading platform. Instead of plotting the calculations directly on the main price chart, the indicator runs in a separate window to provide a clearer view of entropy values. The visualization includes a color-coded histogram representing market regimes as well as several entropy curves that reveal how informational structure evolves over time.
Next we define the user input parameters.
input int EntropyPeriod = 50; input int FastEntropyPeriod = 20; input int SlowEntropyPeriod = 100; input int MomentumPeriod = 5; input int PriceStep = 1;
These parameters allow traders to customize how the indicator analyzes market behavior. The entropy period determines the size of the rolling window used for entropy calculation. The fast and slow entropy periods enable multi-timeframe comparison of market uncertainty. Momentum period measures how quickly entropy values change over time, helping identify emerging shifts in market structure.
To process price movements, we classify each bar into discrete states.
int ClassifyMovement(double currentClose, double previousClose)
{
double change = currentClose - previousClose;
if(change > _Point)
return 1;
else if(change < -_Point)
return 2;
else
return 0;
}
This function converts continuous price fluctuations into three simple categories: upward movement, downward movement, or flat movement. This transformation is necessary because entropy calculations rely on probability distributions rather than raw numeric values.
Once the states are defined, we calculate entropy.
double CalculateEntropy(int start, int period, int &states[])
{
int up = 0, down = 0, flat = 0;
for(int i = start - period; i < start; i++)
{
if(states[i] == 1) up++;
else if(states[i] == 2) down++;
else flat++;
}
double p_up = (double)up / period;
double p_down = (double)down / period;
double p_flat = (double)flat / period;
double entropy = 0;
if(p_up > 0) entropy -= p_up * MathLog(p_up);
if(p_down > 0) entropy -= p_down * MathLog(p_down);
if(p_flat > 0) entropy -= p_flat * MathLog(p_flat);
return entropy;
}
This function implements the Shannon entropy formula by converting movement counts into probabilities and calculating the overall uncertainty level. Higher entropy values indicate that price movements are evenly distributed among the three states, while lower values indicate directional dominance.
When developing indicators like this one, we never rely on theoretical logic alone. Our research team runs automated optimization cycles across thousands of historical datasets to determine stable parameter ranges. During the development of this entropy system, we performed backtesting across multiple asset classes including Forex pairs, stock CFDs, indices like NASDAQ and S&P 500, commodities such as oil and gold, and cryptocurrency markets including BTCUSD and ETHUSD. This process ensures the indicator remains robust across varying volatility profiles and liquidity conditions.
To demonstrate how the Market Entropy Indicator works in practice, we tested it on XAUUSD (Gold) using the H1 timeframe. Gold markets provide an ideal environment for entropy-based analysis because they regularly shift between strong trends and volatile consolidation phases. During periods where entropy values fell below the lower threshold, the indicator consistently identified structured trending environments. In these situations, price action typically exhibited directional momentum with relatively low noise, making trend-following strategies far more reliable. The histogram turned green during these periods, visually confirming that the market structure favored continuation trades.
As entropy gradually increased into the mid-range zone, the indicator labeled the market as transitional. During these phases, price often moved sideways or formed short-lived trends that quickly reversed. The yellow histogram bars served as a warning that traders should become more selective and wait for stronger signals before entering positions.
The most valuable signals appeared when entropy shifted from compression into expansion. Compression occurs when entropy steadily declines, indicating that price fluctuations are becoming increasingly organized. These periods often precede strong breakouts as the market accumulates directional pressure. When entropy begins to rise again, the indicator marks decompression, signaling the release of this built-up informational energy. Our testing across multiple markets confirmed that these compression-to-expansion transitions frequently align with major breakout events. In gold markets, for example, this pattern often occurred just before large directional moves following consolidation phases.
We have placed significant importance on verifying these behaviors through extensive historical simulations. Our internal testing environment processed over 15 years of historical data across more than 30 trading instruments, evaluating how entropy-based signals behaved under different market regimes. Our Professional MQL4 and MQL5 Developers have performed these tests on both MetaTrader 4 and MetaTrader 5, using data feeds from multiple brokers to eliminate platform-specific biases.
The results consistently demonstrated that entropy regime filtering significantly reduced false signals during chaotic market conditions. By avoiding trades when entropy levels indicated high randomness, traders could eliminate many of the whipsaw trades that commonly occur when using conventional indicators alone. Because our systems undergo rigorous validation before release, traders using tools developed by 4xPip can confidently integrate them into their trading workflows without spending weeks performing additional backtesting.
The Market Entropy Indicator combines market analysis with information theory to measure the true structure behind price movements. By using Shannon entropy, it helps traders identify when the market is organized enough for reliable trading instead of relying only on traditional indicators. This approach transforms complex mathematical concepts into a practical MQL5 tool that detects market phases, compression, and expansion. With features like fast and slow entropy, momentum, and divergence analysis, traders can spot structural shifts early.
Most importantly, it prevents traders from using the same strategy in all conditions. By clearly identifying trending, transitioning, and chaotic markets, it provides a logical framework for when to trade and when to stay out. At 4xPip, we turn advanced concepts into ready-to-use tools. Every system is thoroughly tested and optimized across Forex, stocks, crypto, and more, ensuring reliable performance in different market conditions.
This allows traders to skip complex testing and focus directly on execution and risk management, knowing the system has already been validated. As trading evolves, entropy-based systems represent a smarter, data-driven approach helping traders move beyond traditional indicators toward more informed and adaptive decision-making.
4xPip Email Address: services@4xpip.com
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Financial markets are full of strategies that promise extraordinary results. Many traders spend years experimenting with complex indicators, artificial intelligence models, and multi-layer trading systems in search of the “perfect strategy.” However, some of the most effective trading techniques are built on surprisingly simple statistical principles. Pair trading is one such strategy.
Pair trading is a market-neutral statistical arbitrage strategy that focuses on the relationship between two correlated financial instruments. Instead of predicting whether the market will go up or down, pair trading attempts to profit from temporary price imbalances between related assets.
The concept itself is not new. Pair trading was first popularized in the 1980s by quantitative analysts working at large hedge funds. At that time, only institutions with access to powerful computing resources could implement such strategies. Today, with modern trading platforms like MetaTrader 4 and MetaTrader 5, algorithmic strategies can be executed efficiently even by retail traders.
In this article, we explore how algorithmic trading combined with Z-Score statistical analysis and automatic parameter optimization can transform traditional pair trading into a powerful automated system.
At 4xPip, our development approach focuses heavily on data-driven strategy validation. Before any trading algorithm becomes available to the public, we conduct extensive testing and optimization. Our systems are evaluated across multiple markets including:
Rather than releasing unfinished strategies that require traders to perform their own research and testing, our goal is to provide algorithms that are already extensively validated. This allows traders to spend less time testing strategies and more time focusing on execution and risk management.
The following sections will explain the statistical foundation behind pair trading, demonstrate the implementation of an automated Expert Advisor (EA), and evaluate its performance using real market data.
Pair trading is built on the idea that financial instruments with strong economic relationships tend to move together over time. When their price relationship temporarily diverges, statistical probability suggests that it will eventually return to its historical average.
This phenomenon is known as mean reversion.
Correlation measures how strongly two assets move together. It ranges from:
In Forex markets, some currency pairs historically show strong correlations. For example:
|
Pair 1 |
Pair 2 |
Typical Correlation |
|
EURUSD |
GBPUSD |
Strong Positive |
|
AUDUSD |
NZDUSD |
Strong Positive |
|
USDCHF |
EURUSD |
Negative |
When two instruments that normally move together suddenly diverge, it creates a potential trading opportunity.
Consider two correlated assets:
EURUSD and GBPUSD
Normally, when EURUSD rises, GBPUSD also rises. However, occasionally one pair moves faster than the other.
For example:
This creates a temporary imbalance.
A pair trading strategy may open the following trades:
The assumption is that the spread between these assets will eventually revert back to its historical average.
To detect abnormal deviations between assets, we use a statistical indicator called the Z-Score.
The Z-Score measures how far the current value deviates from the historical average.
Z = (Current Ratio – Mean Ratio) / Standard Deviation
Where:
Interpretation:
|
Z-Score Value |
Meaning |
|
0 |
Normal relationship |
|
±1 |
Small deviation |
|
±2 |
Significant deviation |
|
±3 |
Extreme deviation |
When the Z-Score reaches extreme levels, the algorithm may open a pair trade expecting the spread to revert toward the mean.
To automate this strategy, we implement an Expert Advisor (EA) that performs the following tasks:
Below is a simplified version of the EA logic.
void CalculateRatioAndZScore()
{
double ratio[200];
double prices1[200];
double prices2[200];
for(int i=0;i<200;i++)
{
if(prices2[i] == 0) continue;
ratio[i] = prices1[i] / prices2[i];
}
double mean = 0;
for(int i=0;i<200;i++)
mean += ratio[i];
mean /= 200;
double stdDev = 0;
for(int i=0;i<200;i++)
stdDev += MathPow(ratio[i]-mean,2);
stdDev = MathSqrt(stdDev/200);
for(int i=0;i<200;i++)
{
if(stdDev==0)
zscore[i]=0;
else
zscore[i]=(ratio[i]-mean)/stdDev;
}
}
The EA opens trades when:
logic:
if(MathAbs(currentZScore) >= EntryThreshold)
{
if(currentZScore > 0)
{
Sell(Symbol1);
Buy(Symbol2);
}
else
{
Buy(Symbol1);
Sell(Symbol2);
}
}
Traditional trading systems rely on fixed parameters, which often become outdated as market conditions change.
Our algorithm solves this problem using automatic optimization.
Key parameters optimized:
The EA periodically evaluates multiple parameter combinations and selects the best performing configuration based on historical data.
This adaptive mechanism ensures the algorithm continues to perform even as market dynamics evolve.
At 4xPip, automatic optimization is a core part of our development process. Before releasing any trading system publicly, we run extensive optimization across thousands of parameter combinations and market conditions.
Testing is one of the most critical phases in developing any trading system.
Many traders underestimate this step and end up deploying strategies that perform well only under specific historical conditions.
Our testing process includes multiple stages.
Backtesting evaluates the EA using past market data.
Steps:
Backtesting reveals:
A robust strategy should not depend on a single market.
At 4xPip we test strategies across multiple asset classes:
Testing across these markets helps ensure the algorithm is not overfitted to one instrument.
Another overlooked factor is broker execution conditions.
Our systems are tested across:
This ensures that the EA performs reliably regardless of spreads or execution speeds.
During development our MQL Programmers run thousands of optimization cycles to determine the most stable parameter ranges.
By the time the EA reaches traders, the heavy computational work has already been done.
This is a key philosophy at 4xPip. Traders should not waste valuable time performing complex backtesting themselves. Instead, they can deploy a strategy that has already been validated through extensive research.
To objectively measure performance, we conducted tests on several correlated currency pairs.
Testing period: 5 years
Results:
The strategy performed particularly well during high-volatility periods when temporary price deviations occurred more frequently.
Testing period: 5 years
Results:
These results demonstrate that statistical arbitrage strategies can maintain stable performance even when overall market direction changes.
Because pair trading involves simultaneous long and short positions, it remains largely neutral to overall market trends.
Although the current algorithm performs well, there are several promising directions for future development.
Advanced models such as LSTM neural networks could improve predictions of correlation changes.
Instead of reacting to deviations, the algorithm could anticipate them before they occur.
Currently the strategy analyzes pairs of assets. Future versions could monitor multiple correlated instruments simultaneously, allowing the system to identify more arbitrage opportunities.
Macroeconomic indicators such as:
could also be incorporated into the algorithm to improve long-term correlation predictions.
Pair trading demonstrates that powerful trading strategies do not always require complex predictions about market direction. By focusing on statistical relationships between correlated assets, traders can exploit temporary inefficiencies in the market.
The integration of Z-Score analysis, algorithmic automation, and dynamic optimization transforms traditional pair trading into a robust modern trading system.
However, the success of such strategies depends heavily on proper testing, optimization, and risk management.
At 4xPip, our development process is built around these principles. Every algorithm we release undergoes rigorous validation across multiple markets including Forex, crypto, commodities, indices, metals, and stock brokers. By performing extensive backtesting and optimization ourselves, we aim to eliminate the need for traders to spend countless hours testing strategies.
Instead, traders can focus on what truly matters: deploying reliable systems and managing capital effectively.
As markets evolve, algorithmic trading will continue to rely on statistical models like pair trading. With ongoing advancements in machine learning and data processing, the future of automated trading systems looks increasingly promising.
4xPip Email Address: services@4xpip.com
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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.
Our professional MQL4 and MQL5 developers 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.
4xPip Email Address: services@4xpip.com
4xPip Telegram: https://t.me/pip_4x
4xPip Whatsapp: https://api.whatsapp.com/send/?phone=18382131588
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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.
Banks are facing an existential crisis.
Not because of a looming recession or rising credit losses… although those risks could still be ahead.
They’re up against something more structural today.
Because for the first time in decades, something new is starting to compete for their most important asset.
Your deposits.
This battle is already underway in Washington and across the rapidly expanding stablecoin market.
And it could determine who controls trillions of dollars in deposits in the years ahead.
Deposits are the foundation of the banking system.
They’re the raw material banks use to make loans, buy securities and generate interest income.
That’s why banks guard them so closely. Lose deposits, and you don’t just lose customers — you lose the ability to fund lending.
Your deposits are why the reaction to stablecoins has been so strong from the banking community, and why lawmakers in Washington are now actively working to restrict stablecoins from offering yield.
Under new proposals tied to the GENIUS Act and related frameworks, stablecoin issuers will be prohibited from paying interest directly to holders. Regulators are also looking at ways to prevent companies from offering yield through affiliates or other structures.
The issue with stablecoins comes down to a simple question: Should a digital dollar be allowed to pay yield at all?
Because once it does, it starts to compete directly with bank deposits.
And banks have already witnessed what happens when a better option for holding cash comes along.
In the 1970s and 1980s, money market funds emerged as an alternative to bank deposits. They offered higher yields with similar liquidity.
Naturally, many investors moved their deposits to these new financial instruments. That caused funding costs to change, and regulators were forced to adapt.
Stablecoins threaten to do the same thing. But they operate on a very different kind of infrastructure.
Because money market funds still sit inside the traditional banking system.
But stablecoins can move outside of it. They run on networks that are always on, globally accessible and built into software.
That changes both the speed and scope of their adoption.
And it puts pressure on the core of the banking model.
You see, the business of banks is to take in deposits at low rates and deploy that money at higher ones.

Image: Wikipedia Commons
As of mid-March, short-term Treasury yields were up around 3.64%. But the average U.S. savings account only paid about 0.39%, and money market deposit accounts weren’t much higher at 0.56%.
That difference between what banks pay you and what they earn on your money is how banks make money.
A stablecoin blows away your meager interest on deposits. It holds higher-yielding, safe assets like U.S. Treasuries and passes some of that yield back to users. It’s still a dollar in every sense of the word, but it can be sent around the globe as easily as sending an email.
And it pays more.
Coinbase’s USDC rewards program, for example, has been offering around 3.5%.
That’s a lot more attractive than a regular bank account. And it means some deposits will move out of banks and into stablecoins.

That gives banks two choices.
They can raise the rates they pay to keep your money, or they can lose your business.
Either way, their costs go up. And when costs go up, lending slows.
That’s potentially bad news for everyone. Because deposits don’t just sit in accounts — they fund mortgages, business loans and credit across the economy.
That’s why this is more than just a crypto story. It’s also a capital allocation story.
And it’s already big enough that it can’t be ignored.
Stablecoin supply has more than doubled since early 2023. It now sits in the $300 billion to $315 billion range.

Image: panewslab.com
Visa estimates adjusted stablecoin transaction volume exceeded $10 trillion over the past year, with total volume exceeding $50 trillion.
Even if some of that activity is trading, stablecoins are already moving huge amounts of money. They’ve become core settlement infrastructure in digital markets, with growing use in payments and cross-border transfers.
What’s more, it represents a different kind of payment system. It’s faster and more flexible, and it isn’t dependent on traditional banking rails in the same way.
So you can see why banks and regulators are working quickly to regulate stablecoins today.
But stablecoins aren’t without their drawbacks. They don’t have deposit insurance. They also carry regulatory uncertainty. And banks still have structural advantages in trust, scale and access to central bank liquidity.
Those are important advantages.
But they don’t change the fact that stablecoins are starting to compete for one of the most important funding sources in finance — your deposits.
That’s why this push to regulate stablecoins is happening now.
Because banks and regulators know exactly what’s at stake.
Stablecoins are starting to compete directly with bank deposits.
That’s why lawmakers are trying to limit whether stablecoins can offer yield. If they’re successful, the threat is seemingly contained.
But I don’t believe this issue is going to go away with a simple ruling.
Because even if regulators block yield at the issuer level, the underlying economics haven’t changed. As long as stablecoins can hold higher-yielding assets, there will be pressure to pass that return back to users in some form.
That means the competition for your deposits won’t go away.
It’ll just move outside the traditional banking system.
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!
Too many traders panic in the morning right at the open.
The weird thing is…
Morning panics create opportunity.
Over the past 25+ years, I’ve seen this price action thousands of times.
And it has become my single favorite pattern.
If you’re prepared, it can actually be one of the best low-risk to high-reward trades.
But if you get it wrong, it’s like trying to catch a falling knife.
Once you master the morning panic dip buy, you’ll never look at your alarm clock the same way again.
Here are the basics:
• Don’t come to the market unprepared. Never try to roll out of bed at 9:28 a.m. ET and ask, “Okay, where’s the panic?” You have to be up and ready. And preferably, you’ve already identified potential morning panic stocks the night before.
• Look for stocks that run for several days. I look for recent runners that are overextended. The higher it goes, the more prepared you should be.
• Pay attention to volume. If the volume is going up with the stock, that means more and more traders are interested.
• What’s the float? Ideally, it’s a low-float stock. That creates even more volatility. When a stock’s float rotates multiple times in a day, it’s on everyone’s radar.
• Wait for the flush. Once a multi-day runner starts to slow down, a selloff can turn into a flush fast.
Here’s a classic example of a morning panic:

Source: StocksToTrade
CYDY, 06/30/21, classic morning panic.
Again, if you get it wrong, it’s like trying to catch a falling knife. You’ll end up with bloody hands.
So you have to wait for the turn. And there’s a psychology behind it.
Imagine the stock as it runs up…
Newbies and true believers buy the stock as it runs and then hold as long as they can (because they get greedy).
At the same time, bitter, toxic lemon short sellers start salivating.
For them, this is the next stock they’re going to crush.
Eventually, the selloff begins.
Newbies panic because this amazing stock they’ve seen go for days is going red.
Others get stopped out because they’ve set automatic stop losses.
Then, the short sellers pile in and the panic is on.
At some point, the short sellers decide to cover (to take profits).
When enough short sellers start to cover, that’s the turn.
You can literally see the bids pile up and go higher. And THAT is when it’s…
Here are a few critical elements of the morning panic pattern:
1. First, the stock must be up a lot — at least 50%. The higher the stock runs, the bigger the panic. I don’t want to try to dip buy a stock that’s only up 20% over a few days. There’s not enough meat on the bone. Wait until they’re extended.
2. Don’t randomly buy a stock that’s down huge in the morning. Companies have bad news all the time. I want a stock that’s a recent runner, not a company with a negative catalyst.
3. Don’t rush into the panic. Stocks can panic much further than you think. I’ve seen stocks drop over 90% in a day. Wait until the stock begins to test support levels and buyers step in on level 2.
4. Cut losses quickly — it’s my #1 rule for a reason. It’s difficult to nail the bottom of panic, so sometimes I enter too early. If that happens, cut the loss and try again. Holding the loss further into the panic could result in a huge loss.
For me, morning panic dip buys are one of the best and most satisfying patterns to trade.
Email me at SykesDaily@BanyanHill.com if you understand the morning panic pattern or have questions about it. I love hearing from you!
Cheers,

Tim Sykes
Editor, Tim Sykes Daily
P.S. We did it! As I mentioned this week, I’m here in Thailand with one goal: rescuing elephants with my charity Karmagawa.
Here I am with one of my heroes, Lek, who has already rescued 100+ elephants who now live cruelty-free at her incredible sanctuary in Chiang Mai.

This is the sanctuary that the elephant I’m rescuing for my birthday will soon live — no more riding, beating or starvation as this is Elephant heaven and there’s no animal cruelty/abuse allowed here!
Realize that ANYTHING is possible if you study/work hard enough and remain committed to your goals.
Especially through your ups and downs, especially when the journey is most frustrating/difficult in the beginning, when you don’t have much knowledge/experience!
Private credit has been one of the fastest-growing corners of finance over the past decade plus.
It surged after the 2008 financial crisis, when banks pulled back from middle-market lending and left a gap for private lenders to fill.
Today the U.S. private credit market is sitting at about $1.3 trillion.
Private credit was attractive because it offered higher yields and more control. And for a while, it even looked like a safer way to generate income.
But the foundation of private credit is starting to look a lot less stable today. Because pressure is building inside the very loans that made this market so attractive in the first place.
This week’s chart shows exactly where it’s happening.
Take a look at this chart.

Image: https://x.com/BoringBiz_/status/2035382444287791412
At first glance, the data might look reassuring.
After all, private credit only has about 21% exposure to software and technology, compared to roughly 50% in U.S. equities.
That suggests private credit should be less vulnerable if tech runs into trouble.
But this comparison is misleading because it treats all “tech exposure” as if it’s the same.
In public markets, that 50% exposure is concentrated in a small group of companies driving the AI boom. Tech giants like NVIDIA (Nasdaq: NVDA), Microsoft (Nasdaq: MSFT) and Alphabet (Nasdaq: GOOGL) are benefiting directly from rising demand for compute, infrastructure and AI services.
But private credit sits on the other side of that trade.
Which means that 21% exposure is largely tied to mid-sized software companies, leveraged SaaS businesses and companies that raised debt when interest rates were near zero and borrowing was cheap.
These companies don’t need a catastrophic downturn to run into trouble. They just need conditions to get a little worse.
And that’s what’s happening right now.
For years, software was one of the safest areas to lend into because it offers recurring revenue, high margins and predictable cash flow. That made it easier to justify higher levels of debt.
But that equation has changed.
Interest rates are staying higher for longer, raising the cost of servicing debt.
At the same time, AI is starting to reshape the software business itself. Which means tools that once required full teams can now be built or replaced faster and cheaper. And features that used to justify premium pricing are becoming easier to replicate.
This puts pressure on growth and pricing at the same time.
And that’s why the foundation is cracking.
Cash flow is tightening just as debt costs are rising. So lenders are having to make concessions to keep borrowers afloat. Instead of getting paid in cash, they’re allowing companies to delay payments by adding interest onto their loans.
And with fewer companies being bought or taken public, it’s becoming harder for investors to exit these deals.
Now, this doesn’t look like a full-blown crisis. Yet.
Most loans are still set up in a relatively conservative way, with lenders first in line to get paid if something goes wrong.
But that structure doesn’t eliminate risk.
It just determines who gets paid first when things go south.
This chart highlights a mismatch that’s easy to miss at first glance.
In public markets, investors are concentrated in the companies driving the AI boom. But in private credit, lenders are exposed to the companies being forced to adapt to it.
That worked when capital was cheap and growth covered the risk.
But in today’s environment, with higher rates and rising competition from AI, that cushion is starting to disappear.
And that’s exactly where the foundation of private credit is starting to give.
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!
It’s easy to start something that can change your life (like trading)…
But it’s even easier to quit when it gets difficult.
I call that: the fantasy vs. reality dilemma.
A good example is gym memberships.
90% of people with gym memberships don’t go to the gym (they just pay every month).
If you look at gym attendance, it’s high in December and January because…
“I’m going to finish the year off strong and crush my New Year’s resolutions.”
Then attendance dips until April/May when people want their summer body.
But only consistency wins in the long run. The same goes for trading…
Show up every day, study hard, and avoid chat rooms run by fake gurus and filled with delusional newbies.
Their fantasy nonsense only leads to pain.
Which is why we’re seeing THIS reality play out almost every day…
Bitter, toxic lemon short sellers are a perfect example. They live in a fantasy dreamscape conjured up in sketchy Discord chat rooms.
The weird thing is, they’re not wrong about the companies (most of these companies fail).
But they’re WAY wrong about how far penny stocks can run. And the past few weeks, shorts have faced harsh reality after harsh reality.
For example, urban-gro Inc (UGRO), which squeezed from the $2s to $47:

Source: StocksToTrade
UGRO 3/23/26 to 4/2/26, short squeeze supernova.
Next up was VisionSys AI Inc. (VSA). It went from $0.60 to $2.90:

Source: StocksToTrade
VSA 3/23/26 to 4/2/26, short squeeze supernova.
Then PMGC Holdings Inc. (ELAB) squeezed shorts from the $1s to the $14s:

Source: StocksToTrade
ELAB 3/23/26 to 4/2/26, short squeeze supernova.
And there were many, many more. Shorts are getting crushed, especially on days the overall market is up.
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While longs look for big percent gainers and then watch for a pullback to enter, short sellers approach it from a different mindset.
Short sellers hunt down big percent gainers because they are bitter, toxic lemons who want nothing more than to see every stock tank.
They’ll short a stock for any reason it doesn’t deserve to be up.
I know how short sellers think (I made millions short selling BEFORE it became so risky).
But they’re so desperate to be right that they get in too early.
So, big percent gainers are their top targets.
But right now, there are SO many overaggressive short sellers that it’s crowded. And THAT leads to breakouts.
You can see the pattern on the chart below: Big spike, consolidation, spike, consolidation…

Source: StocksToTrade
UGRO spike and consolidation.
You’d have multiple opportunities to get in with the big spikes.
Short squeezes like this can have multiple lives.
You don’t want to be long on the backside.
The best breakout was the multi-day breakout over the previous highs.
Here’s how to play it:
1. Look for the breakout over a multi-day high (especially if the previous high was caused by a short squeeze like UGRO).
2. Watch for a repetitive “spike and consolidation” pattern.
3. Look for where shorts might pile in (fading volume and consolidation).
4. Buy the next breakout and set a tight stop on the previous consolidation level.
5. Sell into strength or cut losses quickly.
The good news is: short seller fantasy leads to endless opportunities for longs.
Watch for this pattern and stay disciplined (and THANK YOU short sellers for your sacrifice).
Remember, easy is the fantasy. Discipline and consistency will always win out over time.
If you have any questions, email me at SykesDaily@BanyanHill.com.
Cheers,

Tim Sykes
Editor, Tim Sykes Daily
In 1933, Franklin D. Roosevelt took office with unemployment near 25% and thousands of banks failing across the country.
Within his first 100 days, he pushed through deposit insurance, emergency banking reforms and massive public works programs that put millions back to work.

Together, these policies became known as the New Deal.
They reset the relationship between government, labor and the economy. And they didn’t just stabilize the country in the moment. They set the foundation for how the U.S. economy would run for decades.
Today, a different kind of disruption is taking shape.
One with the potential to compress decades of economic change into just a few years.
And OpenAI’s CEO Sam Altman recently laid out his own version of a New Deal for the age of artificial intelligence.
Altman’s proposal is laid out in a 13-page report titled “Industrial Policy for the Intelligence Age.”
I’ve gone through it, and it reads like a blueprint for a modern-day New Deal.
The timing isn’t accidental either, as AI moves out of the lab and into the workplace.
In 2026, AI systems are writing code, running software and handling multi-step tasks on their own. As Altman puts it: “Frontier systems have advanced from supporting tasks that take people minutes… to tasks that take them hours… [and] projects that currently take people months.”
By 2029, AI is expected to manage 80% to 95% of text-based tasks at a sufficient quality level.
And Altman warns that “the transition to superintelligence is not a distant possibility — it’s already underway.”
We’re going to need to deal with the impact of AI sooner than later.
Because companies are already hiring fewer people for certain roles, especially in customer support, coding and basic analysis. At the same time, employees are using AI to handle parts of their work, which is changing how jobs get done.
Altman chalks this up to AI’s potential to “disrupt jobs and reshape entire industries at a speed and scale unlike any previous technological shift.”
It also helps explain why companies are spending so much to build the infrastructure needed to run AI systems at scale.
Microsoft (Nasdaq: MSFT), Alphabet (Nasdaq: GOOG), Amazon (Nasdaq: AMZN) and Meta (Nasdaq: META) alone are on track to spend around $665 billion in 2026, much of it tied to AI infrastructure.
That’s because AI systems require a lot of physical capacity. They need massive data centers, advanced chips and large amounts of electricity.
In fact, a single large data center can consume as much power as a small city. Global data center electricity demand is projected to grow by more than 150% by the end of the decade.

So the limiting factor is no longer what these systems can do. It’s how quickly the underlying infrastructure can be built.
That’s the core of Altman’s proposal.
Altman explicitly draws a historical parallel, noting that past transitions led to policies like “the Progressive Era and the New Deal [which] helped modernize the social contract.”
He calls for expanding the country’s ability to produce and run AI at scale by increasing compute capacity, speeding up energy development and removing bottlenecks that slow deployment.
He also acknowledges that once AI becomes infrastructure, it stops being just a corporate priority.
It becomes a national priority.
Altman argues that leadership in AI will shape economic and geopolitical power, and that countries willing to build faster will have a clear advantage.
We’ve seen this pattern before with electricity, railroads and the internet. Each required large-scale investment before becoming foundational to the economy.
AI is entering that same phase now.
But the proposal doesn’t stop at building AI infrastructure. It also looks at what happens once AI starts producing a larger share of economic output.
If AI takes on more of the work, then less income comes from wages. That raises a basic question: who benefits from it?
Altman lays out a few ideas.
One is stronger safety nets. As he puts it, policymakers should “define a package of temporary, expanded safety nets… that activates automatically when [certain] metrics exceed pre-defined thresholds.”
Another is a national wealth fund, partly funded by AI companies, that would give people a direct stake in the gains.
He also suggests changing the tax system so it relies less on wages and more on profits and capital.
He notes that as productivity rises, the structure of work itself could change. If the same output can be produced with fewer hours, shorter workweeks should become possible without reducing pay.
And he argues that access to AI should be widely available, more like electricity than a premium service.
Like the original New Deal, these solutions aren’t perfect.
But they recognize that the rules of the economy have changed.
And that’s worth taking seriously.
In Industrial Policy for the Intelligence Age, Sam Altman notes that: “we are entering a new phase of economic and social organization that will fundamentally reshape work, knowledge, and production.”
The document outlines two parallel efforts to deal with what comes next.
The first part of his plan focuses on building the foundation of AI with more data centers, more chips and more electricity. Without that, none of this scales.
But the second part is where this plan looks like a modern New Deal.
Because if AI starts doing a larger share of human labor, then the way money flows through the economy has to change too.
That’s why Altman is talking about new safety nets, new tax structures and even giving citizens a direct stake in the output of AI systems.
In other words, Altman’s “New Deal” doesn’t just describe where AI is going.
It lays out what the economy might need to look like when it gets there.
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!
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Have you been thinking about starting your own business?
Maybe you’ve caught yourself daydreaming about starting your own small business idea and being your own boss, setting your own schedule, or building something that belongs to you. But at the same time, you might be wondering if you’re actually ready.
A lot of people feel this way.
You may be thinking things like:
Here’s the truth: Almost no one feels fully ready when they start a business.
I definitely didn’t.
When I started my blog, Making Sense of Cents, it was just a hobby. I didn’t have a big business plan. I didn’t know much about running a business of my own. I simply started writing online and sharing my experiences.
Over time, that hobby slowly turned into a real business that allowed me to quit my job, travel full-time, and earn millions of dollars.
And I’m not the only one who started this way.
Many businesses begin small, messy, and definitely not perfect.
If you’ve been wondering whether you’re ready to start a business, here are 10 signs that you may actually be more ready than you think.
One of the biggest signs that you may be ready to start a business is easy: You can’t stop thinking about it.
Maybe you find yourself thinking about business ideas while driving, walking, or scrolling on your phone. You might catch yourself saving articles about side hustles or watching videos about people who run their own businesses.
If the idea keeps coming back to you, that usually means something.
Many people ignore this feeling for years because they think they need the perfect plan first. But the truth is that curiosity is often the first step toward something bigger.
If you keep thinking about starting a business, here are some helpful things you can do right now:
You don’t need to choose the most perfect idea right away. The important thing is just paying attention to what excites you.

Another big reason people start businesses is because they want more control over their time.
Maybe you want to:
For many people, flexibility is one of the biggest benefits of owning a business.
One of my favorite things about running an online business is that I can design my schedule around my life. I can work when I want, take time off when I need it, and spend more time doing the things I enjoy.
Of course, running a business still takes work (and it can be hard to take a break at times and to even have a good work-life balance). But having control over your time can make a huge difference.
If flexibility is important to you, think about what your ideal workday would look like.
Ask yourself:
Thinking about your lifestyle goals can help guide what type of business you may want to start.
Many people believe they need a huge idea or a lot of money before starting a business.
But that’s not true.
In fact, many successful businesses start very small.
For example, someone might:
Over time, these small ideas can grow into real businesses.
Starting small is actually a great strategy because it allows you to:
I am a huge fan of testing out your business idea on the side due to these reasons.
If you’re willing to begin with small steps instead of waiting for everything to be perfect, that’s a great sign that you’re ready to start.
Recommended reading: How To Decide What Business To Start in 8 Simple Steps
If you’re always searching for ways to make extra money, that may be another sign you’re ready to start a business.
Maybe you regularly read articles about:
Or maybe you ask friends how they make extra money.
This curiosity is actually very common among future business owners.
Many people start by looking for ways to earn a little extra income. Then, over time, they realize they want to build something bigger for themselves.
Many businesses start with one goal: earning a little extra money.
Running a business often means learning new skills.
You might need to learn things like:
At first, this may sound overwhelming, but many people actually enjoy learning these skills.
The truth is that no one knows everything when they start a business.
Most entrepreneurs learn as they go.
If you enjoy learning and trying new things, that mindset can help you a lot as a business owner.
Some easy ways to start learning include:
You don’t need to become an expert overnight. Learning step by step is how most successful businesses grow.
Another sign you may be ready to start a business is that you already have something valuable to offer.
Many businesses are built around things people already know how to do.
For example, you might turn:
Think about the things people often ask you for help with.
Those requests can be great clues for business ideas.
If you’re not sure what skills you could turn into a business, ask yourself questions like:
You may already have a business idea that you can test out!
Relying on one paycheck can feel risky for some people because if something happens to that job, their income could disappear.
That’s one reason why many people start businesses or side hustles – to create additional income streams.
Having more than one source of income can give you more financial security and peace of mind.
For example, your business income could come from things like:
For me, I started my business on the side because I was looking for a way to make extra money. It then grew from there into what it is today!

Every business owner makes mistakes.
In fact, mistakes are usually one of the best ways to learn (of course, as long as it’s not a super expensive mistake!).
If something doesn’t work, you can adjust and try again.
Many successful entrepreneurs say that their early mistakes helped them learn what works and what doesn’t.
If you’re willing to learn from mistakes instead of giving up, that’s a great sign.
Some helpful ways to handle mistakes include:
I’ve made a lot of mistakes over the years, and it’s always been okay. I’ve learned and grown from them.
One of the top things I always tell people who want to start a business is that you have to be consistent.
Building a business usually takes time, and you may not see results immediately; that’s normal.
Businesses are usually built through small actions repeated over time.
Some ways to stay consistent include:
For example, I’ve had many people tell me that their business isn’t working yet. One of the first things I usually ask is how often they’re actually working on it. A lot of times, they’ll say something like, “Oh, I write a new article every few months,” or “I looked at it about a month ago.” Usually, that’s just not enough to build momentum. If you want your business to grow, you need to work on it consistently, and I usually recommend doing something for your business at least once a week.
One of the clearest signs you may be ready to start a business is that the idea excites you.
Yes, you might feel nervous too, and that’s completely normal.
But if the thought of creating something for yourself makes you feel curious, motivated, or inspired, that excitement matters.
Building a business can bring a strong sense of pride and accomplishment because you get to create something that belongs to you.
And that can be incredibly rewarding.
If several of these signs sound like you, then you may already be closer to starting a business than you think.
That doesn’t mean you need to quit your job tomorrow.
Instead, focus on taking one small step.
You could:
Starting small is often the best way to begin.
Here are some articles about business ideas that you may be interested in:
Below are answers to common questions about starting your own business.
You may be ready if you keep thinking about business ideas, want more flexibility, enjoy learning new skills, and are willing to start small.
No. Many businesses can be started with very little money, especially service-based or online businesses. It all just depends on your business idea.
Yes. Many people start their business as a side hustle while keeping their regular job. I started my business as a side hustle – I worked my full-time job from 8 a.m. to 5 p.m. each day, and then I worked on my side business in the evenings, on the weekends, and sometimes even during my lunch hour.
You can start by thinking about your skills, hobbies, passions, and experiences. These are usually great clues for business ideas that may work for you.
I hope you enjoyed my article about the signs you may be ready to start your own business.
I started my business many years ago, and it’s one of the best decisions I have ever made in my life. That doesn’t mean that it all came easy, though. There was a lot of thought and fear that went into it, and eventually I just had to make a leap of faith and go for it.
Starting a business can feel like a big decision, but many people figure out that they are more ready than they realized.
If you keep thinking about it, enjoy learning new things, and are willing to start small, those are all great signs.
Luckily, you don’t need to have everything figured out before you begin. And, you don’t need to quit your day job to test out your business idea either.
Sometimes the best way to find out if you’re ready is to just start in whatever free time that you may have available.
What kind of business do you want to start? Why do you want to start a business?
Recommended reading:
The post 10 Signs You’re Ready To Start Your Own Business appeared first on Making Sense Of Cents.
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.
This article is a paid partnership with PSECU. The content was provided by the advertiser and is published for informational purposes only. It should not be considered legal or financial advice. Rates, terms and approval depend on your credit profile and financial situation, so it’s important to compare offers carefully.
Juggling multiple debt payments each month can be stressful and overwhelming. When you are managing several credit cards or loans, it’s easy to feel like you’re not making real progress. Debt consolidation can be a strategy to change that, allowing you to combine those balances into a single, more manageable monthly payment.
A low-interest personal loan is a tried-and-true tool for this, but the strategy is effective only if the loan’s interest rate is lower than what you currently pay. To help you find the right fit, here are three low-rate personal loans for consolidating debt.
PSECU offers low-rate unsecured personal loans for individuals who want to consolidate multiple credit card debts while they are still small or average. As of March 31, 2026, its annual percentage rates (APR) had been as low as 8.99% and as high as 17.99%.
This credit union’s rates and loan amounts are subject to credit approval. PSECU’s lowest rate is available to applicants with excellent credit who want to borrow less than $3,000 and repay the loan within three to 36 months.
While higher loan amounts and longer terms can increase the APR, PSECU remains highly competitive across the board. Even the maximum rate offered to members is often significantly lower than the interest rates on most new credit cards. As a not-for-profit credit union, PSECU returns its surplus earnings to members through better rates and fewer fees, rather than generating profits for stockholders.
PSECU’s solo or joint online personal loan application takes just a few minutes. The requirements are your employer information, your gross annual income and its source. You must become a member to create an online account.
This financial cooperative’s membership is association-based, meaning you can join if you have a qualifying connection. You are eligible if you live with or are related to a current member, or if you go to school at or work for an employer affiliated with PSECU. Another simple path to membership is joining the Pennsylvania Recreation and Park Society.
SoFi is a personal loan lender for people seeking to consolidate payday loan balances and pay considerably lower rates. This nationally chartered online bank’s sizable maximum loan amount gives individuals with significant debt access to funds to pay off financial obligations.
Payday loans often carry triple-digit APRs and may include hidden fees, prolonging repayment beyond what most borrowers initially expect. Comparatively, the median fixed APR of the seven-year unsecured personal loans SoFi approved between January 1, 2024, and January 1, 2025, was 14.90%.
The organization welcomes all applicants, regardless of credit score. Its lenient eligibility criteria are ideal for borrowers planning to rebuild their credit. Demonstrating the capacity to repay fixed monthly installments by having a responsible financial history and a low monthly-expense-to-monthly-income ratio can qualify you for a favorable rate.
As of March 31, 2026, SoFi’s APRs had ranged from 7.74% to 35.49%. Regardless of the rate you qualify for, you can get an 0.25% discount if you agree to autopay and another 0.25% if you set up payroll direct deposits of at least $1,000 monthly with SoFi’s checking or savings account.
SoFi offers more incentives if you use the proceeds to pay off your credit card balances.
Letting the bank pay your creditors directly entitles you to an additional 0.25% discount, lowering your personal loan’s rate even further.
Happy Money offers low-rate, unsecured personal loans for debt consolidation originated and funded by third parties. It works with 11 lending partners to help people with mounting credit card balances successfully secure the funds they need to eliminate their debts.
This fintech company’s network mostly consists of federally chartered credit unions, including AlumniFi, Blue Federal Credit Union and USALLIANCE Financial. Cross River Bank is also a partner.
As of January 21, 2026, these third-party financial institutions had offered fixed rates ranging from 7.95% to 35.99%. The lowest APR varies by loan amount. Higher amounts entail higher rates to reflect the additional risk. Lenders charge a one-time origination fee based on the loan amount, term and credit quality. The lender deducts it from the loan proceeds upon issuance.
Happy Money’s application process for The Payoff Loan is purely online. It is intuitive, prompting you to sign up for an account and receive a customized rate in minutes, without impacting your credit score.
You must have a FICO Score of 620 or higher and zero delinquencies at the time of application to get approved. Your debt-to-income ratio, credit utilization, age of credit history and payment history of each open credit account may also be subject to the financial wellness platform’s evaluation.
Learn about the minimum and maximum loan amounts of the above products, their minimum and maximum terms, and the usual speed of application approval.
| Personal Loan | Loan Amounts | Terms | Approval Speed |
| PSECU’s Personal Loan | $1,000 to $20,000 | Three to 84 months | Possibly the same day |
| SoFi’s Debt Consolidation Loan | $5,000 to $100,000 | 24 to 84 months | Same day when approved and signed by 5:30 p.m. EST on a business day |
| Happy Money’s The Payoff Loan | $5,000 to $50,000 | 24 to 60 months | Same day to seven business days |
The following factors were considered when creating this list to compare personal loans for debt consolidation. You can also use them and their associated questions to evaluate personal loan options:
PSECU, SoFi and Happy Money are options to explore when looking for low-rate personal loans. They offer unique advantages for specific borrowers, so explore their programs even further to find the perfect fit.
The post Best Low‑Interest Personal Loans for Debt Consolidation 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.
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