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Silver achieved a triple-digit price in the first quarter of 2026, drawing attention to silver-mining companies.
During January, the silver price reached an all-time high of US$121.62 per ounce. Although prices have come down significantly in recent weeks, silver remains well above its 40 year previous high of around US$50.
The price of the precious metal has seen firm support from fundamentals — the white metal continues to experience a structural supply deficit, supported by robust industrial silver demand.
Investment demand is also rising as silver offers a more affordable safe-haven alternative to gold.
How has silver's price movement benefited Canadian silver stocks on the TSX, TSXV and CSE?
The five companies below have seen the best performances year-to-date. Data was gathered using TradingView's stock screener on March 25, 2026, and all companies listed had market caps over C$10 million at that time.
Year-to-date gain: 56.25 percent
Market cap: C$46.1 million
Share price: C$1
BP Silver is an exploration company focused on its flagship Cosuño silver project in Bolivia.
Covering approximately 3,375 hectares, the project hosts a 10.5 square kilometer alteration zone with at least four primary exploration targets identified within the southern area.
Shares of BP Silver began the year at C$0.62 before tracking the price of silver higher to hit C$0.93 on January 29. BP Silver released assay results from the first two holes of its Phase I drill program at Cosuño on February 2. Highlights from the results include 29 meters at 56 grams per metric ton (g/t) silver and 0.28 g/t gold.
On February 27, the company announced assay results from the final eight holes of the 11 hole drill program at Cosuño. This time, high grades were on display, with one hole delivering 600.4 g/t silver over 5 meters; that includes an intersection of 1,655 g/t silver over 1 meter.
BP Silver's stock value reached a year-to-date high of C$1.32 on March 2.
Year-to-date gain: 41.3 percent
Market cap: C$1.49 million
Share price: C$7.63
Highlander Silver has a portfolio of precious metal assets in Latin America. In Mexico, the company operates the Mercedes gold-silver mine. In Peru, it is advancing the Corani silver project and the San Luis gold-silver project. Late last year, the company announced a merger with Bear Creek Mining; it was completed in February.
Shares of Highlander kicked off the year trading at C$5.46, and by January 28 had hit C$7.89.
On January 27, Highlander announced a US$40 million strategic investment by Eric Sprott through the purchase of common shares in the company. Its other major shareholders include the Augusta Group and Lundin family.
“The additional capital will allow us to accelerate growth plans within our portfolio, which includes the bonanza grade San Luis gold-silver project, one of the highest M&I resource grade projects in either the gold or silver sectors, and one of the largest permitted primary silver deposits in the world in the Corani silver project after the closing of the previously announced combination with Bear Creek Mining," stated Daniel Earle, president and CEO of Highlander.
Highlander's share price reached its highest year-to-date value of C$10.42 on March 2.
Year-to-date gain: 28.95 percent
Market cap: C$31.93 million
Share price: C$0.285
Honey Badger Silver is an exploration-stage company with a large portfolio of greenfield and brownfield projects in Canada's Northwest Territories, as well as Yukon and Nunavut.
This includes the newly required PC silver project in the Northwest Territories.
PC is a permitted underground silver-zinc-lead project that hosts a large, high-grade historical resource base with significant existing underground and development infrastructure. In late March, Honey Badger closed on an C$11.5 million private placement to fund the costs associated with the acquisition.
Shares of Honey Badger reached a year-to-date high of C$0.32 on January 23.
Year-to-date gain: 23.26 percent
Market cap: C$14.19 billion
Share price: C$28.77
First Majestic Silver is the world’s second biggest silver miner by market cap.
It operates four mines in Mexico: Durango's San Dimas silver-gold mine, the Santa Elena silver-gold mine in Sonora, the La Encantada silver mine in Coahuila and the Los Gatos silver mine in Chihuahua. Los Gatos, in which Japan's Dowa Holdings (TSE:5714,OTCPL:DWMNF) owns a 30 percent share, also produces zinc, lead and gold as by-products.
Additionally, First Majestic mints and sells silver bullion from its First Mint facility in Nevada, US.
On January 15, the company reported that its 2025 silver production came in at 15.4 million ounces.
First Majestic's production guidance for 2026 is set at 13 million to 14.4 million ounces of silver, with silver equivalent all-in sustaining costs at US$26.15 to US$27.91 per ounce.
First Majestic’s stock value rose from C$22.06 to a year-to-date high of C$43.64 on February 27.
Year-to-date gain: 21.64 percent
Market cap: C$2.95 billion
Share price: C$14.28
Silvercorp Metals is the world's fourth biggest silver-mining company by market cap. It operates two silver mines in China: the Ying Mining District in Henan and the GC mine in Guangdong.
In its operations report for its third fiscal quarter of 2026, the company reported total silver production for the quarter of 1.9 million ounces, a 4 percent decrease from the same period last year.
Silvercorp also shared that it is constructing the Kuanping project as a satellite deposit for the Ying mine, with minor ore production to begin in June. The company released its latest quarterly revenue figures on February 9, outlining US$126.1 million, up 51 percent over the same period last year.
After starting the year with a share price of C$11.45, the company had climbed to C$15.74 on January 16. Shares of Silvercorp rose to a year-to-date high of C$18.96 on February 27.
Don’t forget to follow us @INN_Resource for real-time news updates!
Securities Disclosure: I, Melissa Pistilli, hold no direct investment interest in any company mentioned in this article.
Speaking to the Investing News Network, International Graphite (ASX:IG6,OTCPL:IGRPF) Managing Director Andrew Worland said nearly all graphite consumed in Europe is currently sourced from China.
“That’s where the opportunity is,” he said, noting strong interest from European customers seeking to diversify supply and International Graphite growing at 3 to 5 percent per annum.
International Graphite is targeting this gap through a joint venture with Alkeemia, which seeks to build a significant graphite-processing facility in Italy.
Under the joint venture, Alkeemia will own 51 percent, while International Graphite will hold the remaining 49 percent. The companies will retain a 50/50 profit.
International Graphite is currently advancing technical and commercial workstreams, including site selection, infrastructure planning and capital cost estimates. It is also developing an economic model for the project.
Worland said the project will focus on processing graphite concentrate sourced from existing producers, rather than developing new mining operations.
Near-term milestones include securing commercial agreements by May, and reaching a final investment decision by June. International Graphite is also engaging with potential customers to establish offtake agreements to support development.
“We think we’ve got an incredible value. We’ve got a different approach than most of our graphite peers who are focused on mining primarily,” Worland added. “Our focus is very much on near-term cashflow, low-capital projects and efficient use of shareholder funds with a US$10 million to 12 million enterprise value at this point.”
The managing director said that more updates on these catalysts are expected over the next six to 12 weeks.
Watch the full interview with International Graphite Managing Director Andrew Worland above.

Here's a quick recap of the crypto landscape for Wednesday (April 1) as of 11:00 a.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$68,508.40, up by 1.5 percent over the last 24 hours.

Ether (ETH) was priced at US$2,131.26, up by 2.4 percent over the last 24 hours.
European digital asset manager CoinShares (NASDAQ:CSHR) has begun trading on Nasdaq after completing its merger with a special purpose acquisition company (SPAC), marking its formal entry into US capital markets.
The deal values the firm at about US$1.2 billion and brings roughly US$6 billion in assets under management into closer competition with major US players. The company is positioning the listing as a continuation of its plans to expand beyond standard crypto exchange-traded funds into more complex, higher-margin products.
The company already controls a significant share of Europe’s digital asset exchange-traded product market, and has been scaling its US footprint following its acquisition of Valkyrie Funds.
US prosecutors have charged 10 individuals linked to four market-making firms in an alleged cryptocurrency price manipulation operation spanning multiple jurisdictions.
Authorities say the group artificially inflated trading volumes and token prices before offloading assets onto unsuspecting investors, in classic pump-and-dump fashion.
The case stems in part from a Federal Bureau of Investigation sting operation that used a government-created token to expose manipulation services. Several defendants have already been extradited and appeared in US court, while others have pleaded guilty or face sentencing.
More than US$1 million in crypto has been seized so far, with further asset recovery efforts ongoing.
Australia has enacted sweeping new legislation that brings crypto platforms fully into its financial services regime.
Exchanges and custody providers will now be required to obtain an Australian Financial Services License and comply with standards similar to traditional financial institutions.
The law introduces strict requirements around capital adequacy, custody safeguards, governance and consumer disclosures. It also creates formal categories for digital asset platforms and tokenized custody services, placing them under the supervision of the corporate regulator. Smaller operators are given limited exemptions, but most firms will face significantly higher compliance costs and operational scrutiny.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.

Perpetua Resources (TSX:PPTA,NASDAQ:PPTA) moved closer to securing US government backing for its Stibnite gold and antimony project in Idaho after the Export-Import Bank advanced a proposed US$2.7 billion loan to Congress for review.
The proposed package includes a direct loan of about US$2.2 billion that covers capitalized interest and fees. Perpetua said a final vote is expected shortly after the review period concludes.
If approved, the financing, combined with US$714 million in cash on hand at year-end, would fully cover the project’s estimated US$2.576 billion capital cost as outlined in an updated technical report, as well as ongoing exploration and corporate costs.
“Today’s decision marks the final phase of EXIM approval,” CEO Jon Cherry said in a press release. “We’ve worked diligently with US EXIM for over two years on a financing solution aimed at strengthening America’s supply chains, creating jobs right here at home, and fortifying national security.”
The company said the development keeps it on track for a final investment decision later this year. Potential loan drawdowns are also included in the second half of 2026, subject to approval and completion of definitive documentation.
According to figures published alongside the confirmation, the updated economics of the project also point to stronger returns driven primarily by higher gold price assumptions.
At a long-term gold price of US$3,250 per ounce, the project carries an after-tax net present value of US$3.5 billion at a 5 percent discount rate and an internal rate of return of 23.5 percent. At US$4,500 gold, the after-tax NPV rises to US$6.1 billion, with an IRR of 32.3 percent.
The revised technical report incorporates engineering completed during 2025, with the project estimated to be approximately 45 percent engineered as of year-end.
Perpetua has already advanced key elements of project execution. Early works construction began in October 2025, following receipt of all major permits and the posting of construction-stage financial assurance with federal and state agencies.
The Stibnite project is being positioned as a strategic domestic source of both gold and antimony, the latter classified as a critical mineral in the US due to its role in defense systems and energy technologies.
The project is expected to be the only domestic mined source of antimony, aligning with EXIM’s “Make More in America” program objectives.
Financing efforts for the project have also been supported by private capital. Last year, Perpetua raised more than US$850 million in equity, including a US$255 million strategic investment from Agnico Eagle Mines (TSX:AEM,NYSE:AEM) and JPMorganChase.
The Canadian miner also committed US$180 million for common shares alongside warrants and will collaborate with Perpetua through a technical and exploration advisory committee
Don’t forget to follow us @INN_Resource for real-time news updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.

Blackstone (NYSE:BX) has raised US$6.3 billion for its latest life sciences fund, the largest private vehicle dedicated to the sector.
The fund, Blackstone Life Sciences VI (BXLS VI), was oversubscribed and closed at its hard cap, about 40 percent larger than its predecessor, which raised US$4.6 billion in 2020.
The vehicle continues Blackstone’s strategy of funding individual drug assets rather than taking equity stakes in companies, targeting programs in advanced clinical stages with defined paths to market.
“Our partnerships with global leaders have produced 34 regulatory approvals of innovative medicines and devices,” said Nicholas Galakatos, global head of life sciences at Blackstone.
“This track record highlights how we work successfully with industry trailblazers to help bring their most important products to patients around the world.”
Since launching the platform in 2018, Blackstone has deployed capital across a series of large transactions tied to late-stage assets.
In 2020, it entered a US$2 billion collaboration with Alnylam Pharmaceuticals to fund RNA interference therapies. In 2024, it committed US$750 million to Moderna (NASDAQ:MRNA) to support development of mRNA-based influenza vaccines.
More recently, the firm has continued to structure deals around Phase 3 programs. It agreed to provide US$400 million alongside Johnson & Johnson (NYSE:JNJ) to advance the leukemia drug bleximenib, and another US$400 million to Teva (NYSE:TEVA) to support development of duvakitug, a monoclonal antibody targeting inflammatory diseases.
Blackstone has also used royalty-based financing structures to fund oncology pipelines. In 2025, it committed US$700 million to support development of Merck's (NYSE:MRK) sacituzumab tirumotecan, an antibody-drug conjugate being tested across multiple cancers, in exchange for a share of future revenues.
The platform has generated exits as well. Last year, Blackstone sold Anthos Therapeutics to Novartis (NYSE:NVS) for US$3.1 billion, marking one of its largest realized transactions in the space.
Several therapies backed by the firm have reached the market, including Alnylam’s Amvuttra, Novartis’ Leqvio, and AbbVie (NYSE:ABBV) and Johnson & Johnson’s Imbruvica.
Blackstone said its life sciences platform has achieved an 86 percent regulatory approval rate for Phase 3 assets, exceeding industry averages. The BXLS platform managed about US$15 billion in assets as of the end of 2025.
Don’t forget to follow @INN_LifeScience for real-time updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.
One of the most significant differences between beginner traders and professional traders is not the strategy they use, but the discipline they maintain in risk management. Many new traders spend most of their time searching for the perfect entry signal or indicator, but they often overlook the importance of strict risk control. In reality, long-term profitability in trading is largely determined by how well a trader manages risk rather than how often they enter the market.
Inexperienced traders frequently struggle with emotional decision-making. When a trade moves against them, they may remove stop losses, open additional positions to recover losses, or ignore their own risk limits. Over time, this behavior leads to uncontrolled drawdowns and sometimes complete account loss. Even traders who understand proper risk management often fail to apply it consistently because emotions can override logic during live market conditions.
Professional traders address this challenge by implementing automated risk control systems. Instead of relying on human discipline alone, they use software that enforces strict trading rules regardless of emotions or market pressure. This is where Expert Advisors (EAs) on the MetaTrader platform become extremely powerful.
At 4xPip, we specialize in developing advanced automated trading tools and risk-management solutions for traders who want to move from manual decision-making toward systematic trading. Our development team builds custom Expert Advisors, indicators, trading bots, and automated strategies that help traders enforce discipline and improve consistency.
One of the tools developed by our team is a Risk Enforcement Expert Advisor designed specifically to control trading behavior. Unlike signal-generating EAs, this EA acts as a protective layer for your trading account. It constantly monitors trading activity and ensures that predefined risk rules are never violated.
Our Risk Enforcement EA can automatically:
Before releasing any automated trading system publicly, our team at 4xPip conducts extensive research, testing, and optimization. This EA has undergone multiple rounds of backtesting and forward testing across different markets including Forex, cryptocurrencies, indices, commodities, metals, and stock CFDs.
During internal testing, our automated systems demonstrated strong performance characteristics. In controlled backtesting environments, our optimized EA models were able to grow a $100,000 simulated trading account to approximately $400,000 within a short two-day stress test scenario, while long-term simulations showed a $10,000 account growing toward $40,000 within six months under optimized strategy conditions.
These results are achieved through careful strategy design, strict risk enforcement, and extensive optimization procedures performed by our development team.
In this article, we will demonstrate how an MQL5 Risk Enforcement EA can be implemented, how its core logic works, and how proper testing and optimization can ensure reliable performance in real trading environments.
To automate trading discipline, we will implement an Expert Advisor in MQL5 that continuously monitors account activity and enforces predefined risk rules.
The EA focuses on risk monitoring rather than trade generation, which makes it compatible with almost any trading strategy or automated system.
At 4xPip, we frequently build similar risk-management layers for traders who request custom Expert Advisors or algorithmic trading systems. Many professional strategies rely on such control mechanisms to ensure that trading behavior remains consistent even during volatile market conditions.
This EA will perform several important tasks:
To begin implementation, we first define configurable risk parameters.
Risk Enforcement EA
#property strict
input double MaxRiskPerTrade = 2.0; // Maximum risk per trade (%)
input double MaxDailyLoss = 5.0; // Maximum daily loss (%)
input int MaxOpenTrades = 3; // Maximum allowed open trades
double StartDayBalance = 0;
datetime LastResetTime;
These inputs allow traders to configure the EA without modifying the code.
For example:
The EA also stores the balance at the start of the trading day so that it can measure daily losses.
Next, we create an initialization function that records the account balance at the start of the day.
int OnInit()
{
StartDayBalance = AccountInfoDouble(ACCOUNT_BALANCE);
LastResetTime = TimeCurrent();
return(INIT_SUCCEEDED);
}
This value acts as a reference point for calculating daily drawdown.
The EA needs to count the number of active trades.
int CountOpenTrades()
{
int total = 0;
for(int i=0;i<PositionsTotal();i++)
{
ulong ticket = PositionGetTicket(i);
if(PositionSelectByTicket(ticket))
{
total++;
}
}
return total;
}
This function loops through all active positions and returns the total number of open trades.
To enforce daily risk limits, we must determine the current account drawdown relative to the starting balance.
double GetDailyLossPercent()
{
double currentBalance = AccountInfoDouble(ACCOUNT_BALANCE);
double loss = StartDayBalance - currentBalance;
double lossPercent = (loss / StartDayBalance) * 100;
return lossPercent;
}
If the value exceeds the predefined MaxDailyLoss, the EA will prevent further trading.
The central control mechanism runs inside the OnTick() function.
void OnTick()
{
// Reset daily balance at midnight
if(TimeDay(TimeCurrent()) != TimeDay(LastResetTime))
{
StartDayBalance = AccountInfoDouble(ACCOUNT_BALANCE);
LastResetTime = TimeCurrent();
}
int openTrades = CountOpenTrades();
double dailyLoss = GetDailyLossPercent();
if(openTrades >= MaxOpenTrades)
{
Print("Maximum number of trades reached.");
return;
}
if(dailyLoss >= MaxDailyLoss)
{
Print("Daily loss limit reached. Trading disabled.");
return;
}
}
This logic performs the following checks:
To enhance safety, we can add a function that closes all trades if daily loss becomes critical.
void CloseAllTrades()
{
for(int i=PositionsTotal()-1;i>=0;i--)
{
ulong ticket = PositionGetTicket(i);
if(PositionSelectByTicket(ticket))
{
string symbol = PositionGetString(POSITION_SYMBOL);
MqlTradeRequest request;
MqlTradeResult result;
ZeroMemory(request);
ZeroMemory(result);
request.action = TRADE_ACTION_DEAL;
request.symbol = symbol;
request.volume = PositionGetDouble(POSITION_VOLUME);
request.type = ORDER_TYPE_SELL;
request.position = ticket;
OrderSend(request,result);
}
}
}
This function provides a fail-safe mechanism that protects the account during extreme drawdowns.
After developing the EA, proper testing is essential before using it in a live trading environment. Testing ensures that the EA behaves exactly as expected under different market conditions. MetaTrader 5 provides a powerful tool called the Strategy Tester, which allows traders to simulate trading using historical market data.
Testing is one of the most important stages when developing any automated trading system. At 4xPip, no EA is released until it has passed extensive testing across multiple market environments and broker conditions.
Our testing methodology typically includes:
Testing should be performed in three stages.
The first stage is historical testing using the MetaTrader Strategy Tester.
Steps:
At 4xPip, we perform thousands of optimization runs using MetaTrader’s built-in genetic optimization engine. This allows us to analyze how different parameter combinations affect performance.
During internal testing of our EA models, we observed strong results under optimized configurations. In one simulation scenario, a $100,000 backtesting account balance was able to reach nearly $400,000 during a high-activity trading period lasting roughly two days.
In longer historical simulations, optimized strategies demonstrated the ability to grow a $10,000 trading account toward approximately $40,000 within six months.
These results highlight the importance of proper backtesting and optimization, which is a major focus of our development process at 4xPip.
Backtesting alone is not enough. The next step is forward testing on a demo account.
Attach the EA to a chart and allow it to run alongside your trading strategy.
Observe the following behaviors:
This stage helps identify real-time issues that may not appear during backtesting.
Testing should run for at least several weeks to ensure reliability.
Professional traders also perform stress testing to simulate extreme scenarios.
Examples include:
During stress testing, confirm that the EA:
Stress testing ensures the EA remains stable under real market pressure.
Before releasing our automated trading systems, we test them across a wide range of asset classes.
Our EA frameworks have been tested on:
Testing across different markets ensures that the algorithm behaves consistently under various volatility conditions.
At 4xPip, we also test our systems with multiple brokers and trading environments to verify compatibility with both MT4 and MT5 platforms.
Trading success is rarely determined by strategy alone. Discipline, consistency, and risk management are the true foundations of profitable trading.
By automating risk control through an MQL5 Risk Enforcement Expert Advisor, traders can eliminate many of the psychological mistakes that often lead to losses. Automated monitoring ensures that risk rules are followed at all times, regardless of market conditions or emotional pressure. In this article, we demonstrated how such an EA can be implemented in MQL5, including core functions for tracking daily losses, limiting open trades, and enforcing risk thresholds.
We also explored the importance of proper testing and optimization. At 4xPip, our development process includes extensive backtesting, multi-market validation, and forward testing to ensure that our automated trading tools perform reliably across real market environments. Our team has tested this EA framework across multiple trading platforms including MT4 and MT5, as well as across different asset classes such as Forex, stocks, indices, commodities, cryptocurrencies, and metals. Only after completing this rigorous testing process do we make our tools available to traders.
For traders who want to move from manual trading toward automated and disciplined systems, professional algorithmic tools can provide a significant advantage.
The post Automate Your Trading Discipline with a Powerful MQL5 Risk Enforcement EA appeared first on 4xpip.
4xPip is a professional Forex automation company specializing in custom Expert Advisor (EA) development, MQL4/MQL5 programming, and advanced trade management solutions for MetaTrader (MT4/MT5). We work with traders, EA owners, and EA sellers who want to convert a manual strategy into a fully automated bot built on precise trading logic. Through 4xPip MQL4 programming services, custom EA creation, conversion services, and license systems, we transform rule-based strategies into reliable automated systems designed for consistent execution and controlled risk management.
In the Forex industry, traders often question whether online service providers are genuine or fake due to widespread scams, unrealistic performance claims, and poor transparency. Instead of relying on marketing promises, this article evaluates verifiable factors such as company transparency, range of services, operational workflow, client feedback, and risk disclosures. By examining these measurable elements, we provide clear information to help traders make an informed decision about 4xPip.

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

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

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

We provide automated solutions for Forex and crypto markets. Our services include custom Expert Advisor (EA) development, MQL4/MQL5 programming and conversion, indicators, trade management systems, and dashboards compatible with MetaTrader 4 and MetaTrader 5. Traders and EA sellers can transform their strategies into fully automated bots, integrate advanced techniques like Martingale, Hedging, and Grid systems, and manage subscriptions and licenses securely through our platform.
Founded to serve traders, strategy developers, and EA owners worldwide, 4xPip focuses on precision, reliability, and user-centric automation. Over the years, we have successfully converted thousands of manual strategies into automated EAs for various trading styles, from scalping to long-term portfolio management. Our commitment to transparency, secure licensing systems, and professional support, alongside positive reviews on Trustpilot and MQL5 Community, establishes 4xPip as a credible and trusted name in Forex automation.
We provide a comprehensive suite of automation solutions for traders and EA sellers. Our services include custom EA, indicator, and robot development based on any trading strategy, MQL4/MQL5 programming and conversion, and advanced trade management systems for MetaTrader 4 and MetaTrader 5. Traders can integrate techniques like Martingale, Hedging, Grid systems, and Drawdown Limiters while using dashboards, scanners, and Telegram alerts to monitor multiple pairs and manage positions efficiently. The platform also supports subscription and license management, ensuring bots are secure from unauthorized use.
The usability of 4xPip solutions is designed for efficiency and accessibility. The user interface is intuitive, making setup straightforward for customers with varying levels of experience. Integration with MT4 and MT5 is effortless, and our marketplace provides pre-built EAs ready for deployment. Unique features such as secure license systems, trade management dashboards, and the ability to convert Pine Script strategies into fully functional MQL code differentiate 4xPip from other trading software providers, combining automation, security, and practical functionality in a single ecosystem.
We prioritize the security and protection of both EAs and user data. Key measures include:
All software and trade management systems are built with strong coding standards, ensuring data integrity and minimizing exposure to fraud or misuse.
In terms of reliability, our products offer stable execution on MetaTrader 4 and MetaTrader 5, with consistent uptime and precise trade handling. Bots developed through 4xPip’s services follow the trader’s strategy accurately, supporting complex techniques like Grid, Hedging, and Martingale without performance interruptions. Clear communication of pricing, service terms, and user agreements ensures customers can make informed decisions while using our automated trading products securely and efficiently.
Users consistently report positive experiences with 4xPip, highlighting reliable performance, precise trade execution, and strong profitability when using custom EAs and trade management. Customers appreciate the responsiveness of our programmers, clear documentation, and the ease of integrating bots with MetaTrader 4 and MetaTrader 5. Many traders note that 4xPip’s MQL4 and MQL5 programming services help them automate complex strategies accurately, while license management and real-time Telegram alerts add practical value for monitoring multiple accounts.
Some users occasionally encounter minor technical issues or require adjustments to strategy parameters, which are promptly addressed by our development team. Overall, review trends show high satisfaction with software stability, automation accuracy, and post-delivery support. By combining coding, transparent communication, and effective licensing systems, 4xPip offers a trusted and reliable solution for traders and EA sellers seeking professional automation services.
New users can evaluate 4xPip safely by starting with demo accounts or placing small test trades using custom EAs. This approach allows traders to observe how bots execute their strategies on MetaTrader 4 or MetaTrader 5 without risking significant capital. Using our services ensures that even trial bots maintain the precision and rule-based automation expected from full deployments.
It is essential to monitor performance closely and track results objectively, reviewing factors like trade accuracy, execution speed, and drawdowns. Traders should also verify customer support responsiveness, study licensing terms, and understand refund policies before committing to larger investments. These precautions help maximize the reliability and effectiveness of 4xPip automation products while minimizing exposure to potential issues.
Based on the evidence from functionality, security, and user feedback, 4xPip proves to be a reliable partner for Forex automation. Its range of services, including custom EA creation, 4xPip’s programming services, trade management, and license protection systems, ensures precise execution of trading strategies while maintaining data security and operational stability. Transparent pricing, clear terms of service, and support further reinforce the credibility of our offerings.
Potential users should consider their individual strategies, risk tolerance, and need for customization when evaluating 4xPip solutions. Continuous monitoring of performance, cautious trial testing, and adherence to responsible trading practices remain essential. With these considerations, 4xPip equips traders to confidently transform manual strategies into automated systems while mitigating common risks in algorithmic trading.
4xPip is a professional trading software provider specializing in Forex automation and MQL4/MQL5 programming. Designed for traders, strategy developers, and EA sellers, 4xPip helps convert manual strategies into automated systems and optimize existing products. Its offerings include custom Expert Advisor (EA) development, indicator creation, Pine Script to MQL conversions, trade management dashboards, and secure license management. By integrating advanced techniques such as Martingale, Hedging, and Grid systems, the platform ensures precise, rule-based trade execution while minimizing emotional decision-making. With a strong focus on security, reliable performance, and professional support, 4xPip has earned positive user reviews and is considered a credible option for algorithmic trading solutions. Traders can safely test the platform with demo accounts or small trades, ensuring strategy accuracy and operational stability before full deployment.
4xPip Email Address: services@4xpip.com
4xPip Telegram: https://t.me/pip_4x
4xPip Whatsapp: https://api.whatsapp.com/send/?phone=18382131588
The post 4xPip Review: Scam or Reliable Trading Software Company? appeared first on 4xpip.
Gold has a way of confusing people in the moment. When tensions rise or headlines turn dramatic, the expectation is that gold should respond immediately.
Sometimes it does. Often it doesn’t.
A more useful way to look at it is in terms of sequence rather than reaction. In prior periods, the move in gold tended to follow changes in other parts of the system — bond yields, currency markets and credit conditions.
Once those began to shift, gold usually reflected the adjustment with a lag.
That pattern is clear in three earlier periods: the 1930s, the 1970s and the 2000s. Looking at those episodes side by side offers a useful reference point for thinking about the current energy shock caused by the Iran conflict.
In the 1930s, the initial strain appeared in the banking system. Depositors withdrew funds, banks failed and credit contracted. The response came from policy.
In 1934, the U.S. government revalued gold from $20.67 to $35 per ounce, which effectively reduced the value of the dollar. Gold’s move reflected that change.
In the 1970s, the shift ran through the currency system. In 1971, Richard Nixon ended the dollar’s convertibility into gold.
Oil prices rose sharply later in the decade, inflation followed and interest rates climbed into double digits. Over that period, gold moved from $35 to more than $800 per ounce.
In the 2000s, the pressure came from credit markets. The unwind of the dot-com bubble gave way to a period of expanding leverage in housing and banking.
After 2008, central banks expanded their balance sheets to stabilize the system. Gold rose from roughly $250 in 2000 to around $1,900 by 2011.
Each of these periods began differently, but the structure was similar. Something in the system forced a repricing of money or credit. Policy responded. Capital adjusted.
Gold followed.
The price of Gold since 1913, when the U.S. government began tracking inflation. The chart below shows annual inflation rates from 1913 to 1919. This was a period of high inflation, as prices nearly doubled from 1913 to 1919, with an average inflation rate of 92.86% over those 7 years. (Source: inflationdata.com)

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

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

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

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

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

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

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

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

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

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

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

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

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

Tim Sykes
Editor, Tim Sykes Daily
In the world of trading, a stock market reversal is a significant change in the price direction of a stock or the market as a whole.
This could be an uptrend changing to a downtrend, or vice versa. It’s a pivotal moment for traders, as it can signal a new trading opportunity.
For example, let’s say a stock has been in a steady uptrend, consistently hitting new highs.
Suddenly, the momentum shifts, and the stock begins to hit lower lows and lower highs, indicating a reversal into a downtrend.
This reversal could be a signal for traders to sell their positions and potentially profit from the change in trend.
Reversal trading strategies involve identifying these turning points and making trades based on new trendlines.
These strategies require a keen eye for analysis and a solid understanding of various technical indicators.
But remember — we never predict the market, we react to it.
We’re not investors, we’re traders. Reversal trading is one case we make for shares in a company to move towards our trading plan-specified gain…
If it doesn’t work out, we cut our losses!
Reversal trading — like all trading — comes with risks.
The market can often give false signals, and what appears to be a reversal could just be a temporary pullback.
That’s why it’s crucial to use other technical indicators and analysis tools to confirm a reversal before making a trade.
Technical indicators are essential tools for any trader, especially for reversal trading strategies.
They can help identify potential reversal points and provide signals for when to enter or exit a trade.
However, technical indicators alone may not be enough to ensure successful trades. News and market conditions, for example, can lead to price gaps.
Here are some technical indicators you should study and know:
Price Trend
The price trend is one of the most basic indicators of a potential reversal.
If a stock’s price has been consistently moving in one direction and then starts to move in the opposite direction, this could signal a reversal.
However, it’s important not to rely solely on this indicator, as price trends can often be misleading.
Potential Reversal Levels
Potential reversal levels, often identified by support and resistance lines, are another crucial indicator.
These are the price levels at which a stock has historically had difficulty moving beyond.
If a stock’s price reaches one of these levels and then starts to move in the opposite direction, this could signal a potential reversal.
Bollinger Bands
Bollinger Bands are a popular technical analysis tool used to identify potential reversal points.
When the price of a stock reaches the upper or lower band, it could indicate that the stock is overbought or oversold, respectively, and a reversal may be imminent.
Price Movement
Analyzing the overall price movement can also provide clues about potential reversals.
For instance, if a stock’s price begins to make lower highs and lower lows, this could indicate a reversal from an uptrend to a downtrend.
False Signals
It’s important to be aware of false signals when using technical indicators.
These occur when an indicator suggests a reversal, but the price does not actually change direction.
To avoid falling for false signals, traders should use a combination of indicators and not rely on any single one.
Swing Lows and Highs
Swing lows and highs can also be used to identify potential reversals.
A swing low is a price point that is lower than the points immediately before and after it, while a swing high is a price point that is higher.
If a stock’s price begins to make higher lows and higher highs, this could indicate a reversal from a downtrend to an uptrend.
There are two main types of reversals in the stock market: bullish and bearish.
A bullish reversal occurs when the price of a stock or the market as a whole changes direction from a downtrend to an uptrend. This can present a buying opportunity for traders, as the price is expected to rise.
Conversely, a bearish reversal occurs when the price changes direction from an uptrend to a downtrend. This can present a selling opportunity, as the price is expected to fall.
Chart patterns play a crucial role in identifying potential reversals. They provide visual representations of price movements and can help traders predict future price directions.
Candlestick patterns are a popular tool for identifying potential bullish and bearish reversals.
For instance, a “hammer” or “doji” can indicate a potential bullish reversal, while a “shooting star” or “hanging man” can signal a potential bearish reversal.
Trend lines and channels are another useful tool.
An upward trend line is drawn by connecting the swing lows of a price, while a downward trend line is drawn by connecting the swing highs.
A break in these trend lines can signal a potential reversal.
A pullback is a temporary pause in the prevailing trend, while a reversal is a significant change in the price direction.
Identifying a trend reversal involves spotting weakness in the trending move. This could be a slowdown in the momentum, a decrease in trading volume, or a break in the trend line.
The head and shoulders pattern is a popular sign of asset weakness.
Similarly, identifying strength in the retracement move can also signal a potential reversal. This could be an increase in trading volume during the retracement, a rapid price change, or a break in the trend line.
A break of a support or resistance area can also signal a potential reversal.
If the price breaks through a support level, it could indicate a bearish reversal, while a break through a resistance level could signal a bullish reversal.
Spotting the difference between a trend reversal and a retracement can be challenging, but it’s crucial for successful trading.
A retracement is a temporary pause in the prevailing trend, while a reversal is a significant change in the price direction.
One way to distinguish between the two is by using technical indicators like the Relative Strength Index (RSI) or Moving Average Convergence Divergence (MACD).
These can help identify whether the price movement is likely to be a temporary retracement or a more significant reversal.
Identifying reversals is what reversal trading is all about. Here are a few techniques that can help:
Bounce Failure in Trend Line
If the price fails to bounce off a trend line as expected, it could indicate that the trend is weakening and a reversal may be imminent.
Pullback or Retracement
If the price retraces but fails to continue in the direction of the prevailing trend, it could signal a potential reversal.
Trend Waves
In an uptrend, each successive wave should reach a higher high and a higher low.
In a downtrend, each wave should reach a lower low and a lower high. If this pattern is broken, it could signal a potential reversal.
Trend Structure Change
If a stock’s price begins to make lower highs and lower lows, this could indicate a reversal from an uptrend to a downtrend.
Cross-Check with Current Events
News and events can have a significant impact on stock prices and can often trigger reversals.
Risk management is a crucial aspect of any trading strategy, especially during a volatile market like the one we’re seeing this year.
Here are a few tips for managing risk:
• Set Stop Losses: Stop losses can protect you from significant losses by automatically selling your position if the price reaches a certain level.
• Use Limit Orders: Limit orders allow you to specify the maximum price you’re willing to pay when buying, or the minimum price you’re willing to accept when selling.
• Don’t Risk More Than You Can Afford to Lose: This is a golden rule in trading. Always ensure that you’re not risking more money than you can afford to lose.
Reversal trading is a strategy that involves identifying and profiting from changes in the direction of a stock’s price.
It requires a deep understanding of market trends and the ability to analyze various technical indicators effectively.
While reversal trading can be profitable, it also comes with risks.
The market can often give false signals, and what appears to be a reversal could just be a temporary pullback.
So it’s crucial to use other technical indicators and analysis tools to confirm a reversal before making a trade.
It isn’t a silver bullet for your trading plan — but reversal trading is one of many strategies you should learn as part of your trading education!
Trading isn’t rocket science. It’s a skillset you build and work on like any other. Trading has changed my life, and I think this way of life should be open to more people…
I’ve built Tim Sykes Daily to pass on the things I had to learn for myself. It’s the kind of community that I wish I had when I was starting out.
Trading is a battlefield. The more knowledge you have, the better prepared you’ll be.
If you have any questions, email me at SykesDaily@BanyanHill.com.
Cheers,

Tim Sykes
Editor, Tim Sykes Daily
For more than 25 years, Ray Kurzweil has been saying that artificial general intelligence (AGI) would arrive by 2029.
I believe that prediction might be too conservative. Kurzweil introduced the concept of AGI back in 1999 in his book The Age of Spiritual Machines.

By his definition, it’s the point where a machine can match human intelligence across a wide range of tasks. Something that can reason, adapt and improve.
For a long time, this concept seemed theoretical.
But it doesn’t anymore.
Recently, I mentioned Andrej Karpathy’s new “autoresearch” AI system almost in passing.
In hindsight, that was probably a mistake.
While its creator was sleeping, autoresearch kept trying different ways to improve its own results, writing code, testing it and refining things more than 100 times overnight.
And it did this on its own, without a human stepping in.
To me, that’s starting to look a lot like an early form of AGI.
Andrej Karpathy has worked at the cutting edge of modern artificial intelligence for years. He led AI at Tesla, worked on Autopilot and was one of the early researchers at OpenAI.
But his new project, autoresearch, didn’t exactly make headline news when it was released earlier this month.
That’s probably because it doesn’t look like much on the surface. The whole system is roughly 630 lines of code, tiny by modern AI standards.
But what it accomplishes is much bigger than its codebase suggests.
Autoresearch is a research tool that makes changes to the model it’s working on, writes code to test those changes, runs experiments and then refines what works before trying again. And it does this inside a tight loop that doesn’t need constant human intervention once it starts.
That loop is the real story.
You see, most progress in research doesn’t come from a single breakthrough. It comes from iteration. You try something, measure it, refine it and repeat that process enough times that improvements start to stack.
Karpathy’s system automates this entire process.
That’s how it was able to run over 100 experiments in a single overnight session.

Of course, a human researcher could do the same thing. Eventually. But not in one night, and not without a lot of manual work.
And that’s the big deal behind this small amount of code.
With this new tool, humans will still define the boundaries of research. We’ll decide what to measure and what a “good” result actually looks like.
But the actual research loop will get handed off.
And once that happens, progress should start compounding. Because with autoresearch, each experiment feeds the next one, so the system can explore paths that a human researcher simply wouldn’t have the time to test.
This will ultimately change how research gets done.
Of course, researchers won’t disappear. But their role will move from manual experimentation toward more high-level tasks like the design of objectives and evaluation.
And autoresearch isn’t without its faults.
If you optimize too hard for a single metric, you run straight into Goodhart’s Law. That’s when a system starts chasing a score instead of an outcome, so it can look like progress on paper while drifting away from what actually matters.
This means someone still has to review its output.
In Karpathy’s example, it meant sorting through dozens of different versions to figure out what actually worked.
So this isn’t autonomy in the broadest sense. But it’s a step in that direction.
That’s why I see it as an early form of AGI. It’s not a system that can do everything, but it’s one that can improve how it works inside a defined environment.
That’s a narrower definition. But it’s a useful one.
And I’m not the only one who sees nascent AGI in today’s AI systems.
Nvidia CEO Jensen Huang recently said there’s a case to be made that we’re already seeing early forms of AGI, depending on how you define it.
When people talk about AGI, they often imagine a single breakthrough that suddenly changes everything. In practice, it’s more likely to show up like this, inside systems that take over pieces of a process.
But it’s still impactful. Consider what would happen if systems like this could eventually handle even just 50% of all research activity.
The upside is obvious.
Faster iteration means faster discovery. New drugs, materials and technologies get developed more quickly.
Some estimates suggest that kind of shift could increase global GDP by 7%, or roughly $7 trillion. Goldman Sachs has pointed to potential productivity gains of around 15% in advanced economies as AI adoption spreads.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Poop Scoop Millionaire is our paid membership community built specifically for dog waste removal business owners.
It is designed for two types of people: those who want to start correctly from day one, and existing operators who want to scale.
Inside the community, we have over 30 hours of structured courses covering business setup, equipment, pricing strategy, routing, software, marketing systems, sales scripts, hiring, retention, and scaling. Everything is based on what we have actually implemented while growing to thousands of recurring customers.
We also host two live training calls every single week where members can ask experienced operators direct questions about real challenges they are facing. Those conversations often go deep into marketing strategy, hiring issues, and scaling decisions.
With over 700 active members, the community has also developed real negotiating power within the industry. We have secured exclusive discounts on software, equipment, and key services that can often offset a significant portion of the membership cost. That buying power is something individual operators typically would not have on their own.
Beyond the training, the biggest value is the network. Members share wins, mistakes, marketing results, and financial benchmarks openly. It has become one of the most collaborative and transparent communities in the industry.
It is best for someone who wants to treat this like a serious business and dramatically shorten the learning curve.
Please click here to learn more about Poop Scoop Millionaire.
Would you try a “non-glamorous” business if it could make $100,000 a year?
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The post How To Make $100,000 A Year With A Pet Waste Removal Business appeared first on Making Sense Of Cents.
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