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Carley Garner, commodity broker and strategist at DeCarley Trading, shares her outlook for gold and silver, saying that the precious metals may be heading into bear market territory.
She also discusses strategies for oil, grains and the Japanese yen.
Don’t forget to follow us @INN_Resource for real-time updates!
Securities Disclosure: I, Charlotte McLeod, hold no direct investment interest in any company mentioned in this article.

These countries are the world's top producers of iron, a metal that is essential for making steel for construction and infrastructure.
Because of its role in infrastructure, like copper, iron demand and prices are impacted by changes in global economies. Iron ore prices have displayed volatility in the past half decade as the world has dealt with the economic uncertainty from COVID-19, the Russia-Ukraine war, ongoing conflicts in the Middle East and rising trade tensions.
Prices for the base metal reached a record high of over US$220 per metric ton (MT) in May 2021, but that level wouldn't hold for long as lower demand from China alongside rising supply levels caused prices to dropped drastically in late 2021.
While there was some recovery in the intervening years, positive sentiment in the iron ore market evaporated in 2024 as the global economic outlook weakened on higher interest rates, lower demand and challenges in China's property sector. After starting the year at a high of US$144 per metric ton, iron ore prices slid to finish out the year at about US$95.
A cyclical rebound in Chinese steel production in Q1 2025 pushed prices for the metal up to briefly touch US$107 per MT in February. However, in Q2 2025, China's economic woes, a growing surplus in iron mine supply and steel and aluminum tariffs were responsible for pressuring iron ore prices back down below US$95 by late June. In the second half of the year, prices rose back up alongside global markets to again reach US$107.
As for iron ore in 2026, prices fell steeply to start February to just below US$100 but quickly regained ground to end Q1 at US$106.
"Geopolitical tensions have spurred some countries to explore alternative sources of iron ore, raising the profile of new geographic markets,” Fastmarkets reported in its June 2025 iron ore market outlook. “Policy changes in iron ore-consuming regions, driven by trade tensions and domestic priorities, have led to adjustments in global supply chains.”
One new source of iron ore is Guinea, which is likely to enter the top iron countries in the coming years. In December 2025, the massive Simandou mine in Guinea shipped its first iron ore, destined for smelters in China. As it ramps up over the coming years, the mine is expected to produce 15 million to 20 million MT of iron ore in 2026 and 40 million to 50 million MT in 2027.
To better understand the dynamics of the iron ore market, it's helpful to know which countries are major iron producers. With that in mind, these are the top 10 nations for iron ore production by country, using the latest data provided by the US Geological Survey.

Usable iron ore: 980 million metric tons
Iron content: 600 million metric tons
Australia is the largest iron producing country by far, with usable iron ore production of 980 million metric tons in 2025. Australia’s leading iron ore producer is BHP Group (ASX:BHP,LSE:BHP,NYSE:BHP), and Rio Tinto (ASX:RIO,NYSE:RIO,LSE:RIO) and Fortescue (ASX:FMG,OTCQX:FSUMF) are also large iron producers.
The Pilbara region is the most notable iron ore jurisdiction in Australia, if not the world. In fact, Rio Tinto calls its Pilbara Blend "the world’s most recognised brand of iron ore."
One of Rio Tinto's iron-producing operations in the Pilbara is the Hope Downs iron ore complex, a 50/50 joint venture with Gina Rinehart's Hancock Prospecting. The complex hosts four open-pit mines with an annual production capacity of 47 million metric tons.
In June 2025, the partners announced a combined investment of US$1.6 billion to develop the Hope Downs 2 iron ore project. It includes the Hope Downs 2 and Bedded Hilltop iron ore deposits, which together will have a total annual production capacity of 31 million metric tons.
As for BHP, the major iron miner's Western Australia Iron Operations joint venture comprise five mining hubs and four processing hubs. One such hub is Area C, which hosts eight open-cut mining areas alone. The company also has an operating 85 percent interest in the Newman iron operations.
Usable iron ore: 420 million metric tons
Iron content: 260 million metric tons
In Brazil, iron production totaled 420 million metric tons of usable iron ore in 2025, a record high for the iron-rich country.
The largest iron ore districts in the country are the states of Pará and Minas Gerais, which together account for 98 percent of Brazil’s annual iron ore output. Pará is home to the largest iron ore mine in the world, Vale's (NYSE:VALE) Carajas mine. Headquartered in Rio de Janeiro, Vale is the world's biggest producer of iron ore pellets.
Vale announced plans in February 2025 to make significant investments in increasing its production at Carajas by 13 percent through 2030.
Usable iron ore: 310 million metric tons
Iron content: 190 million metric tons
India’s iron production for 2025 totaled 310 million metric tons of usable iron ore.
India’s largest iron ore miner, NMDC (NSE:NMDC), operates the Bailadila mining complexes in Chhattisgarh state and the Donimalai and Kumaraswamy mines in Karnataka state. NMDC hit a production milestone in 2021 of 40 million metric tons per year, the first such company to do so in the country. NMDC is targeting an annual production rate of 100 million metric tons by 2030.
Usable iron ore: 290 million metric tons
Iron content: 180 million metric tons
China's iron production amounted to 290 million metric tons of usable iron ore in 2025. The Asian nation is the world’s largest consumer of iron ore, despite being the fourth largest iron-producing country.
China's top producing iron ore mine is the Dataigou iron mine in Laioning province, with production of 9.07 million metric tons in 2023. The underground mine is owned by Glory Harvest Group Holdings.
With China being the world’s largest producer of stainless steel, its domestic supply is not enough to meet demand. The country imported 1.26 billion MT of iron ore in 2025.
Usable iron ore: 93 million metric tons
Iron content: 61 million metric tons
Iran surpassed 93 million metric tons in iron production in the form of usable iron ore in 2025. The country's iron output has been on the rise in recent years — now in fifth place, it was the sixth highest iron producer in 2024, the eighth highest in 2022 and the 10th in 2021.
One of Iran's most important iron ore mines is Gol-e-Gohar in Kerman province, which is also the country's top producer. During the March 2024 to January 2025 period, the country's major mining companies' combined iron pellet production reportedly increased by 7 percent year-over-year.
The country's iron mines are supplying its steel industry, which produced 32 million MT of steel in 2025.
In its 20 year roadmap released in 2005, the Iranian government had set an annual steel production target of 55 million MT by 2025. To better meet the requirements of domestic steel producers, Iran began levying a 25 percent duty on iron ore exports in September 2019. The exact rate has changed multiple times since, and in February 2024 the country cut duties on these products significantly.
Usable iron ore: 86 million metric tons
Iron content: 50 million metric tons
Russia's iron ore production came in at 86 million metric tons in 2025, making it the sixth largest iron-producing country in the world.
The region of Belgorod Oblast is home to two of the country's biggest iron ore producing mines: Metalloinvest's Lebedinsky GOK and Novolipetsk Steel's Stoilensky GOK. According to GlobalData, the mines produced an estimated 22.05 million MT and 19.56 million MT of iron ore in 2023 respectively.
Russia’s iron ore exports have fallen dramatically in recent years following its 2022 invasion of Ukraine, which led to serious economic sanctions on the country, including the European Union restricting imports of Russian iron ore. Its iron ore exports were valued at just US$1 billion in 2024 compared to US$3.84 billion in 2021 as its previous trade partners fell away, leaving China as the destination for the vast majority of its iron.
Usable iron ore: 69 million metric tons
Iron content: 41 million metric tons
Canada’s iron production totaled 69 million metric tons of usable iron ore in 2025. In June 2024, the Canadian government updated the nation's Critical Minerals List to include high-purity iron due to its role in green steel-making and decarbonization.
Champion Iron (TSX:CIA) is one company producing iron ore in Canada. It owns and operates the Bloom Lake complex in Fermont, Québec. Bloom Lake's annual capacity is currently 15 million metric tons of 66.2 percent iron ore concentrate. Champion is investing in upgrading half of its Bloom Lake mine capacity to a direct reduction quality pellet feed iron ore with up to 69 percent iron.
Usable iron ore: 66 million metric tons
Iron content: 42 million metric tons
South Africa’s iron production was 66 million metric tons of usable iron ore in 2025. The country's output has declined significantly in the past few years, down from 73.1 million MT four years earlier. South Africa's mining industry is grappling with transport and logistics issues, most notably due to railway maintenance challenges.
Kumba Iron Ore is Africa’s largest iron ore producer. The company has three main iron ore production assets in the country, including its flagship mine, Sishen, which accounts for a large majority of Kumba’s total iron ore output. Anglo American (LSE:AAL,OTC Pink:AAUKF) owns a 69.7 percent share of the company.
Usable iron ore: 52 million metric tons
Iron content: 32 million metric tons
Ukraine's iron production for 2025 was 52 million metric tons of usable iron ore. The metal represents a key segment of the country's economy, and Metinvest and ArcelorMittal (NYSE:MT) are the leading producers of iron ore in the nation.
Despite the ongoing war with Russia, Ukraine's iron ore mining industry has proved as resilient as the people, even though there have been temporary shutdowns. While 2025 was a difficult year, with iron ore exports decreasing by 8 percent to 30.99 million MT, this beat GMK Center's May 2025 prediction that "Ukraine’s iron ore exports will decline by about 20% y/y to 27 million tons (in 2025) from 33.6 million tons in 2024."
Usable iron ore: 38 million metric tons
Iron content: 24 million metric tons
The United States' iron production came in at 38 million metric tons of usable iron ore in 2025, landing the nation just inside this top 10 iron countries list. The majority of the US' iron is produced in Minnesota and Michigan.
The US' iron ore production decreased in 2025 from 45.1 million MT the year before as multiple mines in Minnesota were idled, according to the USGS.
Mesabi Metallics is currently constructing its direct-reduction grade iron ore mine and pellet plant in Nashwauk, Minnesota, which is on track to begin production in Q3 2026.
Don’t forget to follow us @INN_Resource for real-time news updates!
Securities Disclosure: I, Lauren Kelly, hold no direct investment interest in any company mentioned in this article.
American Uranium (ASX:AMU,OTCQB:AMUIF) is advancing its flagship Lo Herma in-situ recovery (ISR) uranium project in Wyoming, with current work focused on increasing scale and improving resource confidence ahead of a planned scoping study.
Recent drilling has grown the total resource to 9.45 million pounds, with 43 percent now in the indicated category. Within the areas being prioritised for the scoping study, the company has outlined approximately 7 million pounds, with indicated resources increasing to 46 percent.
“That’s a pretty good outcome given we’re only halfway through the planned drilling program,” CEO Bruce Lane told the Investing News Network.
Lo Herma is also becoming more comparable to advanced ISR projects in the region, all located within close proximity. Lane mentioned Ur-Energy’s (TSX:URE,NYSEAMERICAN:URG) Shirley Basin project, currently in commissioning at 8.8 million pounds. Also included are Uranium Energy’s (NYSEAMERICAN:UEC) Ludeman project at 11 million pounds, and enCore Energy’s (TSXV:EU,NASDAQ:EU) Gas Hills project at roughly 8 million pounds.
From a valuation standpoint, American Uranium sees room for upside as the project advances. “We think there’s an opportunity for our valuation to move upwards and meet the intrinsic value of the project that we have," said Lane.
On the macro front, US uranium demand currently sits at approximately 50 million pounds annually, while domestic production remains significantly lower. With global supply also trailing demand, a widening supply gap is expected. American Uranium is targeting potential production in the 2029 to 2030 timeframe, aligning with forecasts for tightening market conditions.
Upcoming catalysts at Lo Herma include the next phase of drilling, additional technical studies and a resource update alongside a scoping study expected in Q3.
Watch the full interview with American Uranium Executive Director Bruce Lane above.

Despite its designation as a critical mineral in the US, Canada, Australia and the EU, antimony remains overlooked.
Although it may seem less popular than its hyped-up counterparts like rare earths and lithium, antimony’s industrial and strategic importance cannot be ignored. Antimony has for decades been crucial to countless sectors, and its military applications made US-produced antimony crucial to the Second World War.
Now, as the world moves towards a future defined by clean energy, decarbonization and heightened geopolitical tensions, antimony is arguably more important than ever — positioning it as both a strategic resource and a compelling addition to any investment portfolio.
A silvery-blue metalloid element, antimony is primarily found in the mineral ore known as stibnite — a steel-gray sulfide that largely forms in hydrothermal deposits alongside gneiss, limestone and granite.
In addition to stibnite, the element also occurs in over a hundred different minerals, including kermesite, argentiferous tetrahedrite, jamesonite and livingstonite. Although it is brittle and flaky, antimony is regarded for its strengthening and hardening capabilities as an alloying agent.
Antimony has a history that spans millennia. There are historical records of multiple civilizations using the element in both its metallic and sulfide form for everything from pottery to medical remedies and makeup.
Records from the 15th century also indicate that antimony was used in various alchemical practises, as well as in alloys for products such as mirrors and bells.
Yet for all its applications, antimony was not generally regarded as a critical strategic resource until sometime around the 1900s. That is when the element began being used in a range of different military applications, owing to its role in the creation of tungsten steel and as a hardening agent for lead. Today, antimony is used in precision optics, night-vision goggles, armor-piercing rounds, explosives, hardened lead, ammunition primers, infrared sensors, military clothing, communications equipment and even nuclear weaponry.
As of writing, China maintains a stranglehold on global antimony supply, controlling about 90 percent of global antimony production along with Russia and Tajikistan — despite a steadily declining share of global production.
In addition to its military applications, antimony is also required to manufacture semiconductors, electric switches, fluorescent lighting, high-quality clear glass and lithium-ion batteries.
Without antimony, the majority of modern technology would be impossible to produce.
This applies equally to cleantech and renewable energy. Antimony is a key element in the production of solar panels and wind turbines. Moreover, the mineral is integral to the development and production of liquid metal batteries, which look to be a reliable, safe alternative for battery power storage.
A study by the US International Trade Commission found that expanded uses for antimony contribute to its inclusion as a critical material, particularly with respect to battery technology.
“Antimony has become increasingly prevalent in electrical and energy related technologies. Over the past decade, antimony appeared in over a thousand U.S. electrical applications patents. Liquid metal batteries, an emerging battery technology, incorporates antimony in the cathodic material," it states.
Unfortunately, antimony mining remains exclusive to certain countries. According to the US Geological Survey, China remains the largest antimony producer, accounting for over 36 percent of global antimony production in 2025, followed by Russia at roughly 29 percent. And as China imposes new restrictions on antimony exports, countries around the world are increasingly motivated to look for and develop more stable and secure sources for this critical mineral.
Recognizing the emerging demand for antimony and its crucial role in the modern world, exploration companies are increasingly looking at antimony projects that can potentially yield considerable value.
NevGold (TSXV:NAU,OTCQX:NAUFF) is one such company. In 2021, the company acquired 100 percent interest in the Limousine Butte project in Nevada. The property covers around 68 square kilometers of the southern Cherry Creek Range.
Hosting near-surface oxide mineralization, including antimony-bearing zones identified on historical heap leach pads, the project presents a potential near-term production opportunity.
NevGold is advancing the project with ongoing technical studies and exploration to deliver a Mineral Resource Estimate by the second quarter of 2026 to quantify the amount of contained antimony at the project.
CEO Brandon Bonifacio noted the project represents one of the only at-surface antimony opportunities in the US with potential to reach metal production by 2027. High-grade oxide antimony-gold has been intercepted at the project, with 11.42 grams per ton gold equivalent over 7.7 meters.
The Stibnite project in Idaho, owned by Perpetua Resources (TSX:PPTA,NASDAQ:PPTA), is the only other potential near-term producing US antimony mine, which is tracking to production by 2029 to 2030.
The historic Stibnite Mining District played a critical role following the outbreak of World War II, when US antimony supply was cut off by Japan. At the time, the operation supplied roughly 90 percent of the country’s antimony needs and contributed an estimated 40 percent of its tungsten production for steel hardening. Mining activities at the site continued intermittently in the decades that followed before ultimately ceasing in 1997.
Other players include the Hillgrove antimony-gold project in New South Wales by Larvotto Resources (ASX:LRV,OTCPL:LRVTF) and the Costerfield mine in Victoria by Alkane Resources (ASX:ALK,TSX:ALK,OTCQX:ALKEF).
United States Antimony (NYSE:UAMY) has recently secured approval to uplist its common shares from the NYSE American to the New York Stock Exchange, marking a pivotal milestone in its growth journey. This transition comes at a time of rising investor focus on critical minerals and domestic supply chains, particularly antimony. Backed by US government initiatives to bolster critical mineral production, the NYSE uplisting is expected to further accelerate United States Antimony’s operational scale and reinforce its role in securing domestic supply.
Although antimony may not receive as much coverage as other more popular critical minerals, it's no less important. Already essential to multiple applications within the technology and military sectors, antimony has only grown progressively more important with the transition to a cleaner, more sustainable future.
Mining companies around the world are working to meet the ever-increasing demand for the mineral — and each of these companies represents a new investment opportunity.
This INNspired article is sponsored by NevGold (TSXV:NAU,OTCQX:NAUFF,FWB:5E50). This INNspired article provides information which was sourced by the Investing News Network (INN) and approved by NevGold in order to help investors learn more about the company. NevGold is a client of INN. The company’s campaign fees pay for INN to create and update this INNspired article.
This INNspired article was written according to INN editorial standards to educate investors.
INN does not provide investment advice and the information on this profile should not be considered a recommendation to buy or sell any security. INN does not endorse or recommend the business, products, services or securities of any company profiled.
The information contained here is for information purposes only and is not to be construed as an offer or solicitation for the sale or purchase of securities. Readers should conduct their own research for all information publicly available concerning the company. Prior to making any investment decision, it is recommended that readers consult directly with NevGold and seek advice from a qualified investment advisor.

Queensland's Crisafulli government said on April 1 that UltraHPQ's Sugarbag Hill ultra-purity quartz sand project has been declared a prescribed project, a move that will speed up development.
Sugarbag Hill currently has a JORC-compliant measured and indicated resource of approximately 1.2 million tonnes and a projected mine life of 12.4 years. The deposit is open along strike.
UltraHPQ plans to build a manufacturing facility at the Lansdown Eco-Industrial Precinct in Townsville.
“This project will help strengthen Queensland’s critical minerals capability, inject hundreds of millions of dollars’ worth of investment and create hundreds of jobs in North and Far North Queensland,” said Deputy Premier Jarrod Bleijie.
Quartz is recognized as a critical mineral in Australia, and is used in the creation of advanced manufacturing equipment such as semiconductors and specialised glass.
Dale Last, minister for natural resources and mines, manufacturing and regional and rural development, and member for Burdekin, said this declaration underscores the Crisafulli government’s commitment to backing resource projects that grow regional economies and create jobs for people in Queensland.
Sugarbag Hill is expected to create 600 construction jobs and 140 ongoing jobs in the state.
"We welcome the Queensland Government’s support, which reinforces the strategic importance of our project to the State’s Critical Minerals Strategy," said UltraHPQ CEO Stuart Jones.
"This declaration allows us to progress project approvals more efficiently and with greater certainty as we move through the Detailed Feasibility Study and Engineering stage," he added.
A final investment decision for Sugarbag Hill is expected in early 2027, while construction is targeted for 2028.
Don’t forget to follow us @INN_Australia for real-time news updates!
Securities Disclosure: I, Gabrielle de la Cruz, hold no direct investment interest in any company mentioned in this article.
Financial markets are full of strategies that promise extraordinary results. Many traders spend years experimenting with complex indicators, artificial intelligence models, and multi-layer trading systems in search of the “perfect strategy.” However, some of the most effective trading techniques are built on surprisingly simple statistical principles. Pair trading is one such strategy.
Pair trading is a market-neutral statistical arbitrage strategy that focuses on the relationship between two correlated financial instruments. Instead of predicting whether the market will go up or down, pair trading attempts to profit from temporary price imbalances between related assets.
The concept itself is not new. Pair trading was first popularized in the 1980s by quantitative analysts working at large hedge funds. At that time, only institutions with access to powerful computing resources could implement such strategies. Today, with modern trading platforms like MetaTrader 4 and MetaTrader 5, algorithmic strategies can be executed efficiently even by retail traders.
In this article, we explore how algorithmic trading combined with Z-Score statistical analysis and automatic parameter optimization can transform traditional pair trading into a powerful automated system.
At 4xPip, our development approach focuses heavily on data-driven strategy validation. Before any trading algorithm becomes available to the public, we conduct extensive testing and optimization. Our systems are evaluated across multiple markets including:
Rather than releasing unfinished strategies that require traders to perform their own research and testing, our goal is to provide algorithms that are already extensively validated. This allows traders to spend less time testing strategies and more time focusing on execution and risk management.
The following sections will explain the statistical foundation behind pair trading, demonstrate the implementation of an automated Expert Advisor (EA), and evaluate its performance using real market data.
Pair trading is built on the idea that financial instruments with strong economic relationships tend to move together over time. When their price relationship temporarily diverges, statistical probability suggests that it will eventually return to its historical average.
This phenomenon is known as mean reversion.
Correlation measures how strongly two assets move together. It ranges from:
In Forex markets, some currency pairs historically show strong correlations. For example:
|
Pair 1 |
Pair 2 |
Typical Correlation |
|
EURUSD |
GBPUSD |
Strong Positive |
|
AUDUSD |
NZDUSD |
Strong Positive |
|
USDCHF |
EURUSD |
Negative |
When two instruments that normally move together suddenly diverge, it creates a potential trading opportunity.
Consider two correlated assets:
EURUSD and GBPUSD
Normally, when EURUSD rises, GBPUSD also rises. However, occasionally one pair moves faster than the other.
For example:
This creates a temporary imbalance.
A pair trading strategy may open the following trades:
The assumption is that the spread between these assets will eventually revert back to its historical average.
To detect abnormal deviations between assets, we use a statistical indicator called the Z-Score.
The Z-Score measures how far the current value deviates from the historical average.
Z = (Current Ratio – Mean Ratio) / Standard Deviation
Where:
Interpretation:
|
Z-Score Value |
Meaning |
|
0 |
Normal relationship |
|
±1 |
Small deviation |
|
±2 |
Significant deviation |
|
±3 |
Extreme deviation |
When the Z-Score reaches extreme levels, the algorithm may open a pair trade expecting the spread to revert toward the mean.
To automate this strategy, we implement an Expert Advisor (EA) that performs the following tasks:
Below is a simplified version of the EA logic.
void CalculateRatioAndZScore()
{
double ratio[200];
double prices1[200];
double prices2[200];
for(int i=0;i<200;i++)
{
if(prices2[i] == 0) continue;
ratio[i] = prices1[i] / prices2[i];
}
double mean = 0;
for(int i=0;i<200;i++)
mean += ratio[i];
mean /= 200;
double stdDev = 0;
for(int i=0;i<200;i++)
stdDev += MathPow(ratio[i]-mean,2);
stdDev = MathSqrt(stdDev/200);
for(int i=0;i<200;i++)
{
if(stdDev==0)
zscore[i]=0;
else
zscore[i]=(ratio[i]-mean)/stdDev;
}
}
The EA opens trades when:
logic:
if(MathAbs(currentZScore) >= EntryThreshold)
{
if(currentZScore > 0)
{
Sell(Symbol1);
Buy(Symbol2);
}
else
{
Buy(Symbol1);
Sell(Symbol2);
}
}
Traditional trading systems rely on fixed parameters, which often become outdated as market conditions change.
Our algorithm solves this problem using automatic optimization.
Key parameters optimized:
The EA periodically evaluates multiple parameter combinations and selects the best performing configuration based on historical data.
This adaptive mechanism ensures the algorithm continues to perform even as market dynamics evolve.
At 4xPip, automatic optimization is a core part of our development process. Before releasing any trading system publicly, we run extensive optimization across thousands of parameter combinations and market conditions.
Testing is one of the most critical phases in developing any trading system.
Many traders underestimate this step and end up deploying strategies that perform well only under specific historical conditions.
Our testing process includes multiple stages.
Backtesting evaluates the EA using past market data.
Steps:
Backtesting reveals:
A robust strategy should not depend on a single market.
At 4xPip we test strategies across multiple asset classes:
Testing across these markets helps ensure the algorithm is not overfitted to one instrument.
Another overlooked factor is broker execution conditions.
Our systems are tested across:
This ensures that the EA performs reliably regardless of spreads or execution speeds.
During development we run thousands of optimization cycles to determine the most stable parameter ranges.
By the time the EA reaches traders, the heavy computational work has already been done.
This is a key philosophy at 4xPip. Traders should not waste valuable time performing complex backtesting themselves. Instead, they can deploy a strategy that has already been validated through extensive research.
To objectively measure performance, we conducted tests on several correlated currency pairs.
Testing period: 5 years
Results:
The strategy performed particularly well during high-volatility periods when temporary price deviations occurred more frequently.
Testing period: 5 years
Results:
These results demonstrate that statistical arbitrage strategies can maintain stable performance even when overall market direction changes.
Because pair trading involves simultaneous long and short positions, it remains largely neutral to overall market trends.
Although the current algorithm performs well, there are several promising directions for future development.
Advanced models such as LSTM neural networks could improve predictions of correlation changes.
Instead of reacting to deviations, the algorithm could anticipate them before they occur.
Currently the strategy analyzes pairs of assets. Future versions could monitor multiple correlated instruments simultaneously, allowing the system to identify more arbitrage opportunities.
Macroeconomic indicators such as:
could also be incorporated into the algorithm to improve long-term correlation predictions.
Pair trading demonstrates that powerful trading strategies do not always require complex predictions about market direction. By focusing on statistical relationships between correlated assets, traders can exploit temporary inefficiencies in the market.
The integration of Z-Score analysis, algorithmic automation, and dynamic optimization transforms traditional pair trading into a robust modern trading system.
However, the success of such strategies depends heavily on proper testing, optimization, and risk management.
At 4xPip, our development process is built around these principles. Every algorithm we release undergoes rigorous validation across multiple markets including Forex, crypto, commodities, indices, metals, and stock brokers. By performing extensive backtesting and optimization ourselves, we aim to eliminate the need for traders to spend countless hours testing strategies.
Instead, traders can focus on what truly matters: deploying reliable systems and managing capital effectively.
As markets evolve, algorithmic trading will continue to rely on statistical models like pair trading. With ongoing advancements in machine learning and data processing, the future of automated trading systems looks increasingly promising.
The post Algorithmic Market Neutral Trading via Optimized Spread Z-Score Signals appeared first on 4xpip.
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.
This market is offering up TONS of opportunities.
But there’s 1 key strategy you MUST follow.
Especially in premarket and after-hours trading.
This week, there were SO many premarket runners.
It pays to wake up early and know your risk management strategy inside and out.
Why?
It goes back to something billionaire trader Paul Tudor Jones once said…
“Don’t focus on making money … focus on protecting what you have.”
This is going to sound counterintuitive…
But to protect what you have in THIS environment, you have to do this…
Everyone keeps asking me how to maximize big runners…
The truth is, I screw up all the time (and that’s okay).
For example, a week ago (March 27), I was SO pumped about my PMGC Holdings Inc. (ELAB) trade.
I really liked the news and the Friday action.
But I got too big and too excited. The problem is…
When these things spike, they also come down.
It’s really nice to say, “Hey, ELAB went from the $1s to the $8s. Fantastic.”
It actually went higher, into the $14s when shorts got squeezed on Wednesday.
Then the company did a toxic financing….

Source: StocksToTrade
ELAB 3/27/26 to 4/2/26 1-min candles, toxic financing.
That’s why it’s really tough to get too aggressive on anything right now.
I nailed the initial runup last week (March 27).
But from the top, it dipped roughly 30% before the squeeze got maximized.
The lesson (and this is really painful for me because I was dead on)…
I knew that ELAB had more upside.
But because I didn’t control my emotions, I got too big, too soon (and then I got scared out).
Frankly, I was right to be scared out because you can’t load up at $3.50 and risk a dip to $2.50.
You don’t know what it’s going to do.
You don’t know what ANY of these plays are going to do.
So, this is a really good lesson for me…
Turbo Energy S.A. (TURB) was another example from yesterday (April 2).
The markets gapped down to start the day because of more war talk.
And THAT means oil was up…
United States Oil Fund (USO) was going ballistic.
When USO goes, all the usual oil and energy suspects pop (including TURB).
But they also fade…
The biggest lesson is to try to keep your emotions in check and take profits into strength.
If you have any questions, email me at SykesDaily@BanyanHill.com.
Cheers,

Tim Sykes
Editor, Tim Sykes Daily
A bitcoin miner just sold more than $1 billion worth of its own holdings.
Which, at first glance, might seem like a strange move. After all, bitcoin miners are companies that run energy-intensive computers to generate bitcoin. They’re supposed to accumulate it, not dump it.
But this company’s decision had very little to do with the current state of the crypto market, and everything to do with a bigger trend that I identified last year.
In fact, I’m convinced it’s a clear indicator of where this industry is headed next.
And if you’re not paying attention, you could be missing out on a huge opportunity.
Marathon Digital (Nasdaq: MARA) recently sold over 15,000 bitcoin for roughly $1.1 billion.
Most of that money is going toward repurchasing $1 billion of its convertible notes. And on its own, that might simply seem like routine balance-sheet management.
But that’s only part of the story.
In late February, Marathon announced a partnership with Starwood Digital Ventures to build infrastructure for AI workloads on its existing sites. The initial buildout targets about 1 gigawatt of capacity, with a path to more than 2.5 gigawatts over time.
This would more than double the roughly 1.9 gigawatts the company already operates across 18 data centers globally.
For context, 1 gigawatt is enough electricity to power roughly 750,000 homes.
At full buildout Marathon is talking about enough power to run a mid-sized U.S. city.

Image: Wikimedia Commons
That’s a radical change to the company’s business model.
And it’s not an isolated case.
Core Scientific (Nasdaq: CORZ), one of the largest bitcoin mining operators in the U.S., has been putting its facilities to a similar use.
The company signed long-term agreements with CoreWeave (Nasdaq: CRWV), an AI cloud provider that supplies computing power to companies training and running AI models.
In simple terms, Core Scientific has been taking sites that were built for mining bitcoin and using them to house and power CoreWeave’s AI hardware instead.
In August 2024, Core Scientific said those contracts represented about $6.7 billion in projected revenue over 12 years.
Since then, the relationship has only deepened, with CoreWeave expanding its footprint across Core Scientific’s facilities.
And other miners are moving in the same direction.
In February, Hut 8 (Nasdaq: HUT) announced that its “power-first” model had already produced its first AI infrastructure transaction. The company is talking about an 8,500-megawatt development pipeline.
IREN (Nasdaq: IREN), which many investors still think of as a bitcoin miner, now describes itself as building data centers for AI and cloud workloads. The company has more than 4.5 gigawatts of power secured across North America and says its AI Cloud business has room for more than 60,000 GPUs across its British Columbia campuses.
As you can see, AI infrastructure is no longer a side business for these companies.
It’s becoming the business.
Over the past decade, bitcoin miners secured land, assembled large amounts of power, built electrical infrastructure, installed cooling systems and learned how to operate compute-heavy facilities around the clock.
Bitcoin was simply the first workload that justified this investment.
But now there’s another one.
You see, AI companies need what these miners already have: cheap power, dense compute and sites that can be brought online quickly.
The International Energy Agency projects that global data-center electricity consumption will more than double by 2030 to around 945 terawatt-hours, with AI as the main driver.


Image: IEA
In the U.S., data centers could consume 9% to 17% of U.S. electricity by 2030, up from roughly 4% to 5% today.
That’s a massive amount of new demand for an electrical grid that wasn’t built for this pace of expansion. Which makes existing, power-connected sites more valuable than ever.
That’s why bitcoin miners are making this move today.
Because they were never really just in the bitcoin business. They were in the business of converting electricity into revenue through compute-intensive workloads.
AI and high-performance computing are starting to look like the next version of that model, even though the economics are completely different.
Mining income rises and falls with bitcoin prices, network difficulty and halving cycles.
But AI capacity is typically sold through longer-term agreements tied to usage and uptime, which makes revenue more predictable. And, in many cases, more valuable.
CoinShares estimates that listed miners could derive as much as 70% of their revenue from AI by the end of 2026, up from roughly 30% today. Core Scientific’s AI hosting already accounted for 39% of its fourth-quarter revenue, while IREN’s AI Cloud business contributed 9% and is still expanding.
That doesn’t mean every miner will make the transition to this new business model successfully.
Some won’t.
But the direction the industry is heading is becoming hard to ignore.
To me, Marathon’s bitcoin sale looks like a company treating bitcoin as a source of funding for a larger buildout.
And if I’m right, then this isn’t a story about one miner raising cash.
It’s a story about an industry changing identities.
Mining companies spent years building large-scale compute infrastructure anchored to energy availability.
That infrastructure is now being repurposed as AI infrastructure.
And right now, demand for it is growing faster than anything else in technology.
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!
I wish I had known these lessons (and what REALLY matters) earlier in my career.
Giving back is my true passion. It makes all the hard work worthwhile.
So I wanted to take the time to share these lessons with you. Don’t wait as long as I did for all the hard work to be worth it.
If you missed part 1, check it out here.
Here’s the second batch of the 16 big life lessons I learned along the way…
I believe in full transparency (it’s good to be real in an industry full of fakes).
That’s why I show all my trades (wins AND losses).
And it’s why I show all the donations we do with Karmagawa.
When we donate to a charity, they don’t know how much we’re going to donate.
They show us their mission and then we surprise them with a donation.
People sometimes ask why we post them online (usually the toxic haters).
We post them online to inspire crowdfunding more donations. And it works.
When Amir Zakari did our Save the Reef documentary, it actually bombed on Instagram.
But it got 15.3 million views on YouTube and raised roughly $1.5 million.
Take that, haters…
The world has a lot of big issues.
For example, we’re not going to stop climate change anytime soon. Palm oil in Indonesia is another big problem.
But there’s also potential to fix a lot of the problems with new technology.
If you look at the plastic problem around the world, it’s terrible. But new technologies have the potential to get rid of the plastic.
That’s going to change people’s minds.
Right now, there’s all this negativity and people believe there are no solutions.
As technology grows (and AI gets better), it’s going to be amazing.
Some people ask “How can you live luxuriously and then donate schools?”
One is for me, one is for them (a little of everything).
For some people, it’s all charity. For others, it’s all luxury.
I think that the world is much more fascinating when you start to open your mind to different possibilities.
You can be a little selfish and unselfish, too.
It’s all about having a purpose and a mission.
Kobe Bryant had the Mamba mentality.
More people need to find what they’re obsessed with.
It’s not just about working hard.
If you don’t really love something, you won’t fine-tune it. So find your purpose.
In ancient Japan, the samurai were only samurai.
All they did was practice for battle (they were obsessed with the mission).
Here’s another thing we can learn from Japanese culture…

Source: Millionaire Publishing
There’s no tipping in Japan. Why?
Because service is already supposed to be perfect, so why would you tip?
There’s a certain beauty in that. It reminds me of some of the best chefs.
They might have a restaurant with six or eight seats.
They don’t look to franchise (and if they’re sick, the restaurant doesn’t open that night).
To become a sushi chef in Japan… It’s crazy.
You have to spend seven years just cutting fish and putting it on the rice. There are all these nuances. Who would do that?
When you focus on your craft and try to be perfect, whether or not you succeed, you fall in love with the process.
More people need to do that.
I fell in love with the process of trading (not just the money).
Many people get into trading because they want to get rich.
But they don’t want it bad enough to really educate themselves.
When I got into trading, I was a tennis player. But then I couldn’t play tennis (due to an injury).
I was successful, but trading got old after a while, so I got into teaching.
Then teaching led me to traveling more.
Then I got tired of luxury and was open-minded enough to get into charity.
There were a lot of missteps along the way, but I was a philosophy major in college (that helped).
The beautiful thing about the internet is that you have access to endless information, videos, photos…
The world is at your fingertips.
But a lot of people just stick to what they love right now and they’re not willing to change.
Always be willing to change.
You might be surprised by what motivates you.
If you told me that I’d be teaching or into charity as a kid, I would have said, “shut up, I just want to get rich.”
You always have to challenge yourself.
NEVER just say, “Okay, this is my life, I’m pigeonholed into this.”
You can literally do anything.
And the cool thing is, with all the new technology, you can make money on anything.
Most of the best people I know are street smart. They’re not book smart.
I get it…
If you want to be a doctor or lawyer, you need those degrees. You need to stay in school because it’s required.
But in the future?
It will change as AI takes over.
AI can program websites. You shouldn’t learn to program anymore.
Think about where we are historically.
There are SO many different jobs out there where you can make more (and be financially free while doing what you love).
You always have to stay humble, especially in the stock market.
If you ever get too cocky, you’ll get humbled (and it can be VERY expensive).
Mistakes are a vital part of your journey.
They’re not a fun part of your journey, but they ARE vital.
Even after you’ve learned (or think you’ve learned) every lesson life has to offer…
Stay humble.
Because when you start to think “look at me, I’m so good…”
You’re standing on the edge of a cliff.
When Mat Abad and I started Karmagawa, our goal was to build 1,000 schools.
We have a ways to go, but there’s so much opportunity to help.

Source: 2026 Millionaire Media, LLC
If you keep going, you get to that level where there’s hockey stick growth.
So, we’re also doing libraries and computer labs.
We have two now in South America where kids are learning to type, learning basic computer skills…
These are really tough neighborhoods (a lot of these communities don’t have much).
They have a negatively skewed view of the world, where nobody is coming to help them.
We’ve given musical instruments to kids.
It’s just a saxophone to you and me, but for a child with no hope, it’s night and day.
Another child in Bali was grateful that we’d opened a school and helped build a home for his family.
But it wasn’t until I’d met him for the third time that he told me he was sad because he couldn’t learn to read.
He couldn’t see the words and he was embarrassed by it.
We spent $50 on a pair of glasses and it changed his life forever.
Another child wasn’t studying because he was always tired from sleeping on the ground.
We bought him a mattress for about $100 so he could sleep and study.
It’s crazy how far a little compassion and obsession with helping can go.
Finally…
People underestimate technology and how fast everything is changing.
Other people are scared of AI and robots. I get it.
But there’s also nothing we can do about it.
Don’t worry about things that aren’t in your control.
This is a very Buddhist way of thinking.
Why are you worrying? What are you going to do?
All you can do is control your own journey, your own actions.
Ignore all the dystopian future negativity out there.
You have all of these tools at your fingertips that no civilization, no generation in the past has ever had.
We can do amazing things with it.
You just need a little push…
What’s your favorite life lesson? Any I should add to my list? Let me know at SykesDaily@BanyanHill.com.
Cheers,

Tim Sykes
Editor, Tim Sykes Daily
G’daye Kingy.
You never mention Grok in any dispatch and it is much better than both OpenAI and Anthropic!
Is there a press ban on mentioning anything to do with Musk?
Get with it… and don’t let your subscribers be hoodwinked into thinking Grok is a non-player in the AGI build-out.
That email landed in my inbox recently.
And to be fair, reader Ian from Australia has a point.
I’ve written about Grok several times over the past year. From its early agent ambitions to its surprising role inside X’s ecosystem. But compared to the nonstop coverage of ChatGPT and Claude, Grok does feel like the third name in a two-horse race
So let me say this clearly.
Grok isn’t being ignored because it doesn’t matter.
It’s just misunderstood because it doesn’t fit the usual way we compare AI models.
Much of the current conversation around artificial intelligence still revolves around rankings. Which model writes better code, scores higher on reasoning tests and can handle longer prompts.
And those comparisons still matter. But as Ian from Australia alluded to in his email, they’re no longer the whole story.
Because AI is now starting to move from standalone models to full systems. From tools you occasionally use to platforms you increasingly live inside.
You can see it happening in real time.
Microsoft is embedding Copilot across Windows and Office. Google is doing the same thing with Gemini across its Search, Docs and Android.
In both cases, AI is being built into products that people use every day.
Grok is moving in a similar direction. But it’s been built on a very different foundation.
You see, most AI models take snapshots of the world.
They’re trained on massive datasets, updated periodically and then deployed as powerful but mostly static systems. Even when they browse the web, they’re still reaching out to fetch information.
Grok flips that model on its head because it’s plugged directly into X.

To be clear, Grok isn’t just a feature of X. It’s a native layer sitting on top of a constant stream of real-time data. Which means every post, conversation, image, trend and reaction is updating it by the second.
In effect, X is becoming a kind of real-time sensing layer for the world. And Grok is built directly on top of it.
That changes what Grok is.
Because once you have an AI system connected to a live information stream, it stops behaving like a static tool and starts acting more like a participant.
It can follow events as they unfold and track sentiment in real time. It can even respond with context that didn’t exist a few minutes prior.
That doesn’t automatically make it a better model.
But it does set the stage for a very different kind of system. And it helps explain why Grok might end up having an inherent advantage over its competitors.
For the past two years, the winners in AI have been defined by capability. OpenAI has built a powerful ecosystem around its models. Anthropic has focused on safety and reliability.
But xAI is taking a different approach.
It’s embedding its AI directly into a network that already has millions of active users and a constant flow of real-time information.
That tight integration between an AI model and a social platform creates something other AI companies simply don’t have.
A live feedback loop.
Gork isn’t just answering questions. It’s operating inside the conversation itself.
It also has something most AI systems still lack.
Personality.
Most AI tools still feel like software when you interact with them. They’re polished, but slightly sterile.
Grok isn’t.
Elon Musk, ever the showman, made a very deliberate choice here. He pushed Grok to be more opinionated and humorous. Sometimes even a little sarcastic.

And that changes the experience of using it.
Plenty of people want more than accurate answers when they query an AI model. They want to interact with something that feels responsive, contextual and even a little entertaining.
In other words, they want it to feel alive.
Grok is one of the first serious attempts to build that kind of AI system.
It combines speed, real-time awareness and personality in a way that aligns more closely with how people actually interact online. Through messy, fast-moving conversations.
That has clear advantages. But it comes with tradeoffs.
Because those same messy, unfiltered inputs can lead to unpredictable outputs. And we’ve already seen moments where Grok crossed lines that more tightly controlled systems are designed to avoid.

That’s the risk of building AI directly on top of a live information stream.
If you’re working with massive codebases or long documents, other systems are better suited for that kind of task. And if you need consistency, guardrails and careful handling of sensitive topics, there are stronger options available today.
But focusing only on those comparisons misses the bigger picture.
Because Grok isn’t just competing on intelligence.
It’s competing on context.
And that could end up being just as important.
Have I been ignoring Grok?
No, I haven’t.
But I do think it’s easy to look at Grok the wrong way.
If you judge it purely on benchmarks, it’s one of several strong frontier models.
But if you look at how it’s built and where it lives, it’s something much more interesting. It’s an early version of what AI can be when it’s fully embedded inside a real-time information network.
That doesn’t guarantee Grok will win the AI race.
But if the next phase of AI is less about who has the smartest model and more about who controls the flow of information…
Then Grok could be the best current example of what comes next.
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!
Recently, I sat down for an interview with British actress, influencer, and podcast host Amy Jackson Westwick.

In our interview, we discussed 16 life-changing lessons.
When it was all said and done, Amy had this to say:
“Tim, I love the way you see the world. I love the way you talk about the world.
I love the LOVE you have for the world.
Thank you for sharing all of your inspiration. Come on … Absolutely fantastic.”
It’s true, I chased money for years before I realized the truth.
Which is why I want to share these lessons with you now.
This industry is full of failure and bitterness. The answer?
Rule #1: Cut Losses Quickly.
Too many people fall in love with penny stocks.
Once upon a time, I fell in love with a penny stock and lost $1 million (my heart was broken).
I was dead on about home-printed ticketing technology. But I was dead wrong about the company.
If you do it the wrong way, you’re going to lose.
It’s no different than driving a nice sports car and ignoring the road signs. If you go through red lights, you’re going to crash and burn.
I was self-taught (it was the early days of the internet).
In high school, there were computer blocks with 10 computers in the library.
And because the internet was so slow, I would load one web page on one computer.
Then, while it was finishing, I would go to the next.
So, I had an early 10-monitor computer setup, but it was really just the library at my high school.
I skipped class (sorry kids).
Many people come into the market every day (whether they’re trading penny stocks or crypto or anything else) with the wrong mindset.
“Give me something to buy…”
That’s gambling. It’s no different than going to a casino. You don’t have the odds on your side.
But if you prepare…
• Study hard
• Study on weekends
• Look at charts
• Look at trends….
You CAN get the odds on your side.
Many of my top students are not the smartest at math.
They’re not book smart. They just want it bad enough.
It might not be 100% of the time, but I win roughly 70% of the time (which is pretty good).
My purpose initially was to travel, to retire my parents (because they worked hard) and to take care of family.
Done.
Then I wanted to make $1,000,000 because I thought that I could (and I did).
It wasn’t easy, but I did it.
Then I wanted to teach. So far, I’ve created roughly 50 millionaire students.

One goal at a time.
But after all that money, all that luxury, all that travel, you want more.
And that got me into charity.
Now I want to build 1,000 schools. My charity Karmagawa has built 130 schools in 32 countries.
Roughly 33,000 kids go to our school every day.
The cool thing is, because we have so many schools, some of the kids have graduated.
They have jobs and they’re supporting their families.

A lot of wealthy people, especially traders, are set in their ways.
For a while, I was the same.
I did the luxury hotels, the sports cars, and all the materialistic stuff.
It gets boring…
I remember the last time I spent too much money at a nightclub (STORY in Miami).
I had this giant table in the front of everything and it was $22,000 for the night.
At the end of the night, I walked home. It was a three-hour walk.
All I could think was “what am I doing with my life?”
I was feeling empty, so I started to travel, to learn about the world.
On a trip to Bali, I convinced my driver from the Viceroy Bali to take me to his village.
I met his family. It was so different and so beautiful.
We tried to build a school there, but village politics got in the way.
That inspired me to start building schools.
A lot of people in the Western world take education for granted.
“School? Whatever, I don’t need that. I’m not going to learn that much.”
In third-world countries, it can mean the difference between life or death.
If you can’t read or do basic math, it condemns you to poverty.
So we’re trying to teach kids just the basics.
It’s my obsession.
There’s a myth that eating pangolin scales or rhinoceros horns makes you strong.

Source: Millionaire Publishing
People kill these animals for keratin. It’s in our FINGERNAILS.
Eating pangolin scales has ZERO scientifically proven benefits.
We’re killing animals because of myths. And it goes beyond the animals…
For example, an adult pangolin can eat 15,000 ants and termites in a single night.
When pangolins get killed, the insects live (and destroy the forest).
So, based on a myth, we’re destroying the forest by killing the protectors of the forest. It’s crazy.
Many people don’t get to travel. They don’t appreciate other cultures, especially with what’s going on in America.

Source: Millionaire Publishing
Once you learn about other cultures, you learn to appreciate them. You find that we’re not so different.
Even though we might have different beliefs, we’re very similar. It’s pretty amazing when you go to other countries.
I encourage you to go beyond the typical vacation spots when you travel.
Get out of your comfort zone.
Go to a third-world country, see what the world is like (you might be surprised).
I wish I had known these lessons earlier in my career.
It took me time to realize what REALLY matters.
Now that I have, I’ve never been happier. Come back Monday for part 2 of the biggest life-change lessons.
What’s your favorite life lesson? Email me at SykesDaily@BanyanHill.com.
Cheers,

Tim Sykes
Editor, Tim Sykes Daily
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Have you been thinking about starting your own business?
Maybe you’ve caught yourself daydreaming about starting your own small business idea and being your own boss, setting your own schedule, or building something that belongs to you. But at the same time, you might be wondering if you’re actually ready.
A lot of people feel this way.
You may be thinking things like:
Here’s the truth: Almost no one feels fully ready when they start a business.
I definitely didn’t.
When I started my blog, Making Sense of Cents, it was just a hobby. I didn’t have a big business plan. I didn’t know much about running a business of my own. I simply started writing online and sharing my experiences.
Over time, that hobby slowly turned into a real business that allowed me to quit my job, travel full-time, and earn millions of dollars.
And I’m not the only one who started this way.
Many businesses begin small, messy, and definitely not perfect.
If you’ve been wondering whether you’re ready to start a business, here are 10 signs that you may actually be more ready than you think.
One of the biggest signs that you may be ready to start a business is easy: You can’t stop thinking about it.
Maybe you find yourself thinking about business ideas while driving, walking, or scrolling on your phone. You might catch yourself saving articles about side hustles or watching videos about people who run their own businesses.
If the idea keeps coming back to you, that usually means something.
Many people ignore this feeling for years because they think they need the perfect plan first. But the truth is that curiosity is often the first step toward something bigger.
If you keep thinking about starting a business, here are some helpful things you can do right now:
You don’t need to choose the most perfect idea right away. The important thing is just paying attention to what excites you.

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

Every business owner makes mistakes.
In fact, mistakes are usually one of the best ways to learn (of course, as long as it’s not a super expensive mistake!).
If something doesn’t work, you can adjust and try again.
Many successful entrepreneurs say that their early mistakes helped them learn what works and what doesn’t.
If you’re willing to learn from mistakes instead of giving up, that’s a great sign.
Some helpful ways to handle mistakes include:
I’ve made a lot of mistakes over the years, and it’s always been okay. I’ve learned and grown from them.
One of the top things I always tell people who want to start a business is that you have to be consistent.
Building a business usually takes time, and you may not see results immediately; that’s normal.
Businesses are usually built through small actions repeated over time.
Some ways to stay consistent include:
For example, I’ve had many people tell me that their business isn’t working yet. One of the first things I usually ask is how often they’re actually working on it. A lot of times, they’ll say something like, “Oh, I write a new article every few months,” or “I looked at it about a month ago.” Usually, that’s just not enough to build momentum. If you want your business to grow, you need to work on it consistently, and I usually recommend doing something for your business at least once a week.
One of the clearest signs you may be ready to start a business is that the idea excites you.
Yes, you might feel nervous too, and that’s completely normal.
But if the thought of creating something for yourself makes you feel curious, motivated, or inspired, that excitement matters.
Building a business can bring a strong sense of pride and accomplishment because you get to create something that belongs to you.
And that can be incredibly rewarding.
If several of these signs sound like you, then you may already be closer to starting a business than you think.
That doesn’t mean you need to quit your job tomorrow.
Instead, focus on taking one small step.
You could:
Starting small is often the best way to begin.
Here are some articles about business ideas that you may be interested in:
Below are answers to common questions about starting your own business.
You may be ready if you keep thinking about business ideas, want more flexibility, enjoy learning new skills, and are willing to start small.
No. Many businesses can be started with very little money, especially service-based or online businesses. It all just depends on your business idea.
Yes. Many people start their business as a side hustle while keeping their regular job. I started my business as a side hustle – I worked my full-time job from 8 a.m. to 5 p.m. each day, and then I worked on my side business in the evenings, on the weekends, and sometimes even during my lunch hour.
You can start by thinking about your skills, hobbies, passions, and experiences. These are usually great clues for business ideas that may work for you.
I hope you enjoyed my article about the signs you may be ready to start your own business.
I started my business many years ago, and it’s one of the best decisions I have ever made in my life. That doesn’t mean that it all came easy, though. There was a lot of thought and fear that went into it, and eventually I just had to make a leap of faith and go for it.
Starting a business can feel like a big decision, but many people figure out that they are more ready than they realized.
If you keep thinking about it, enjoy learning new things, and are willing to start small, those are all great signs.
Luckily, you don’t need to have everything figured out before you begin. And, you don’t need to quit your day job to test out your business idea either.
Sometimes the best way to find out if you’re ready is to just start in whatever free time that you may have available.
What kind of business do you want to start? Why do you want to start a business?
Recommended reading:
The post 10 Signs You’re Ready To Start Your Own Business appeared first on Making Sense Of Cents.
Do you have old college textbooks lying around? You can probably make some money off of them and help someone else avoid paying the full cost for a new textbook by selling your used textbooks.
When I was in college, I bought used textbooks all the time from online sites. I don’t think I ever bought a new textbook because they were always crazy expensive. And, I always resold the ones I bought, because they always fetched such a high price for almost no effort (plus, I had no use for them after the semester ended).
In this article, I’m going to share:
Here’s how you can sell your used textbooks and make extra income.
Here are the best places to sell used textbooks.
World of Books is a popular online used-book retailer that buys back used textbooks. They give you an instant quote via barcode or ISBN (they even have an app where you can simply just scan the back of your textbook to get a price) and also give you a prepaid shipping label, so you don’t have to pay for shipping.
Payment is usually received within a few days of arrival via PayPal, bank transfer, or check.
World of Books also buys other types of books, such as children’s books, nonfiction, fiction, and more.
Please click here to see how much you can sell your textbooks for at World of Books.
Recommended reading: World of Books Review: Is It Worth It To Sell Your Used Books?
If you want to sell your textbooks fast and have recently bought them, your college bookstore will likely buy them back for the next class of students (if the professor decides to switch books, though, then your college bookstore may not accept them, so in that case, you will want to try selling them online instead).
This is usually the easiest, fastest, and most guaranteed way to get cash back from your textbooks, but it usually pays the least.
Please note that some college bookstores don’t even pay you real cash and offer store credit instead, which can be helpful if you’re still in college. But if you’re not in college anymore, then only getting store credit probably isn’t a good choice.
College bookstores buy back books that have minimal highlighting, no torn off papers, and clean covers. Current or widely used editions are usually the only types of books accepted by college bookstores.
Bookscouter.com is not a website where you can sell textbooks; instead, it does all of the heavy lifting for you by telling you which website will buy your textbook for the most money. This website compares buyback offers from dozens of textbook buying websites, so you don’t have to check websites individually to see where you’ll get the most money. BookScouter tells you instantly where the best offers are.
There’s no cost to use BookScouter, so you can compare and find the best prices for free. It even shows you who’s paying the most after shipping is factored in.
BooksRun is a popular textbook buyback and resale service where students can sell or buy/rent used textbooks. The site has been around for a few years, with many users reporting good experiences, with ease of use and fast shipping being some of the top comments.
BooksRun also buys other types of books, like fiction books, not just college textbooks.
TextbookRush is a popular online buyback and textbook resale website. It works similarly to other textbook buying websites, where you enter your book’s ISBN, and they give you an immediate quote. TextbookRush gives you a prepaid shipping label, so you can ship the book and eventually get paid via PayPal or check.
Condition matters, so books with a lot of highlighting, notes, or damage can get downgraded in price or rejected altogether, so keep that in mind when selling your used textbooks.
Valore is another online textbook buyback and resale platform. The platform is easy to use, as you simply input your book’s ISBN to check if they’re buying the book and for how much.
Valore also provides a shipping label, so you don’t have to pay for shipping fees. There are multiple payout choices, such as PayPal, check, or store credit. Their buyback prices are pretty competitive compared to other textbook buying/selling websites, so keep that in mind.
eCampus.com is a popular textbook buying website and is easy to use. You simply enter your book’s ISBN to get a free quote online, and if they’re buying your textbook, they’ll provide a free shipping label so you can mail it back to them.
Once they receive your textbook, you’ll get paid out via check, direct deposit, PayPal, or store credit (which sometimes pays out slightly more).
Facebook Marketplace is one of the best places to sell used textbooks because you keep 100% of the money you make. You don’t have to ship anything or pay any hidden/extra fees, and you can meet with students right away to sell textbooks if they’re in your area.
You’ll want to post high-quality, clear photos of your textbook showing the cover, ISBN, and any damage the book has. If your book has any bonuses like access codes, workbooks, etc., make sure to include that.
You can also try selling your used textbooks in local college Facebook groups, textbook buy/sell groups, and student housing groups.
Please remember to choose a safe, public place to meet, like inside a library or at the police station (some police stations even have a safe area for buy/sell meetups).

Here are some frequently asked questions about selling used textbooks.
The best place to sell your used textbooks depends on what you’re looking for. If you want the easiest option, and you recently bought your book and you know you need more for next semester, then simply heading to your college bookstore may be the best option. But, if you are no longer in college and your college bookstore will not accept your book, or if you want to make a little more money, then selling the textbook yourself may earn you a little more money.
To get the best price when selling your used textbooks, compare prices across the most popular textbook buying/selling sites so you can see where you’ll get the biggest payout. BookScouter does a great job of doing this.
The best time to sell textbooks is right before a semester starts, as that’s when students are buying textbooks. July, August, and December are some of the best months to sell used textbooks. Also, I recommend that you remove anything that doesn’t belong in the textbook, such as sticky notes or loose-leaf paper, and wipe down the cover to make it look as clean as possible.
Selling used textbooks on Facebook Marketplace in college towns is one of the most popular spots to get good money for your old books.
Amazon’s textbook buy-back program ended in 2020. This was a program where they bought textbooks and paid with Amazon gift cards. If you want to sell your textbooks through Amazon, it’s a bit more complicated now since you’d have to create an Amazon seller account and list your used textbook with the ISBN, condition, and ship it as well. Most people are probably better off using one of the actual textbook buying/selling websites. If you have a lot of used textbooks to sell, then selling on Amazon may work for you, though. It really just depends on how much effort you want to put toward this.
Barnes & Noble buys back textbooks, but only in certain situations, and not all locations participate in this program. Their buyback program works by submitting your book’s ISBN online to get a quote and then shipping it with a prepaid shipping label. They pay you either by check or PayPal once Barnes & Noble receives and accepts your book. Whether or not they buy your book depends on the book’s demand and availability of the book.
If you’re looking to sell your used books for cash near you, I usually recommend trying your local college bookstore or listing your books on Facebook.
The best place to sell your used textbook online depends on one main thing – how long do you want to spend selling the book? If you have some time, then listing the textbook yourself will earn you more money because you’re not splitting the sale with anyone else. But, if you’re looking to make money fast without having to deal with customers, then selling to a site like World of Books may be worthwhile.
I hope these tips and resources helped you find ways to sell your used textbooks.
Doing this is a great way to make money off things you don’t use anymore while helping students save money on supplies they need. Whether you’re a student right now trying to sell old books to pay for next semester’s books or were a student years ago, selling your old college textbooks can be a great idea to make extra money.
Here’s a recap of the best places to sell used textbooks:
I have bought and sold many used textbooks over the years, and I highly recommend doing so if you want to save and make money as well.
Where are you going to sell your used textbooks?
Recommended reading:
The post 8 Best Places To Sell Used Textbooks appeared first on Making Sense Of Cents.
This article is a paid partnership with PSECU. The content was provided by the advertiser and is published for informational purposes only. It should not be considered legal or financial advice. Rates, terms and approval depend on your credit profile and financial situation, so it’s important to compare offers carefully.
Juggling multiple debt payments each month can be stressful and overwhelming. When you are managing several credit cards or loans, it’s easy to feel like you’re not making real progress. Debt consolidation can be a strategy to change that, allowing you to combine those balances into a single, more manageable monthly payment.
A low-interest personal loan is a tried-and-true tool for this, but the strategy is effective only if the loan’s interest rate is lower than what you currently pay. To help you find the right fit, here are three low-rate personal loans for consolidating debt.
PSECU offers low-rate unsecured personal loans for individuals who want to consolidate multiple credit card debts while they are still small or average. As of March 31, 2026, its annual percentage rates (APR) had been as low as 8.99% and as high as 17.99%.
This credit union’s rates and loan amounts are subject to credit approval. PSECU’s lowest rate is available to applicants with excellent credit who want to borrow less than $3,000 and repay the loan within three to 36 months.
While higher loan amounts and longer terms can increase the APR, PSECU remains highly competitive across the board. Even the maximum rate offered to members is often significantly lower than the interest rates on most new credit cards. As a not-for-profit credit union, PSECU returns its surplus earnings to members through better rates and fewer fees, rather than generating profits for stockholders.
PSECU’s solo or joint online personal loan application takes just a few minutes. The requirements are your employer information, your gross annual income and its source. You must become a member to create an online account.
This financial cooperative’s membership is association-based, meaning you can join if you have a qualifying connection. You are eligible if you live with or are related to a current member, or if you go to school at or work for an employer affiliated with PSECU. Another simple path to membership is joining the Pennsylvania Recreation and Park Society.
SoFi is a personal loan lender for people seeking to consolidate payday loan balances and pay considerably lower rates. This nationally chartered online bank’s sizable maximum loan amount gives individuals with significant debt access to funds to pay off financial obligations.
Payday loans often carry triple-digit APRs and may include hidden fees, prolonging repayment beyond what most borrowers initially expect. Comparatively, the median fixed APR of the seven-year unsecured personal loans SoFi approved between January 1, 2024, and January 1, 2025, was 14.90%.
The organization welcomes all applicants, regardless of credit score. Its lenient eligibility criteria are ideal for borrowers planning to rebuild their credit. Demonstrating the capacity to repay fixed monthly installments by having a responsible financial history and a low monthly-expense-to-monthly-income ratio can qualify you for a favorable rate.
As of March 31, 2026, SoFi’s APRs had ranged from 7.74% to 35.49%. Regardless of the rate you qualify for, you can get an 0.25% discount if you agree to autopay and another 0.25% if you set up payroll direct deposits of at least $1,000 monthly with SoFi’s checking or savings account.
SoFi offers more incentives if you use the proceeds to pay off your credit card balances.
Letting the bank pay your creditors directly entitles you to an additional 0.25% discount, lowering your personal loan’s rate even further.
Happy Money offers low-rate, unsecured personal loans for debt consolidation originated and funded by third parties. It works with 11 lending partners to help people with mounting credit card balances successfully secure the funds they need to eliminate their debts.
This fintech company’s network mostly consists of federally chartered credit unions, including AlumniFi, Blue Federal Credit Union and USALLIANCE Financial. Cross River Bank is also a partner.
As of January 21, 2026, these third-party financial institutions had offered fixed rates ranging from 7.95% to 35.99%. The lowest APR varies by loan amount. Higher amounts entail higher rates to reflect the additional risk. Lenders charge a one-time origination fee based on the loan amount, term and credit quality. The lender deducts it from the loan proceeds upon issuance.
Happy Money’s application process for The Payoff Loan is purely online. It is intuitive, prompting you to sign up for an account and receive a customized rate in minutes, without impacting your credit score.
You must have a FICO Score of 620 or higher and zero delinquencies at the time of application to get approved. Your debt-to-income ratio, credit utilization, age of credit history and payment history of each open credit account may also be subject to the financial wellness platform’s evaluation.
Learn about the minimum and maximum loan amounts of the above products, their minimum and maximum terms, and the usual speed of application approval.
| Personal Loan | Loan Amounts | Terms | Approval Speed |
| PSECU’s Personal Loan | $1,000 to $20,000 | Three to 84 months | Possibly the same day |
| SoFi’s Debt Consolidation Loan | $5,000 to $100,000 | 24 to 84 months | Same day when approved and signed by 5:30 p.m. EST on a business day |
| Happy Money’s The Payoff Loan | $5,000 to $50,000 | 24 to 60 months | Same day to seven business days |
The following factors were considered when creating this list to compare personal loans for debt consolidation. You can also use them and their associated questions to evaluate personal loan options:
PSECU, SoFi and Happy Money are options to explore when looking for low-rate personal loans. They offer unique advantages for specific borrowers, so explore their programs even further to find the perfect fit.
The post Best Low‑Interest Personal Loans for Debt Consolidation appeared first on Making Sense Of Cents.
Looking for the best jobs that AI won’t replace?
If you’ve been seeing news articles about AI taking over jobs, you’re not alone. I’ve been seeing it a lot, and I’ve also received messages from readers who are worried about what work will look like in the next few years. They wonder if they should switch careers, learn a new skill, or start something on the side just in case.
Here’s the good news: I think there are many jobs that AI won’t replace anytime soon. AI can be a helpful tool, but it still can’t do a lot of the things that matter most in real life – like working in person, fixing something with your hands, or making a decision when things get messy.
Below are jobs that are hard to automate because they require hands-on work, people skills, and real-life decision-making. If you’re looking for a job with a stable future, here are some good options to look into!
Electricians install, repair, and maintain electrical systems. This can include fixing outlets, replacing panels, running wiring, installing lights, and troubleshooting why something isn’t working (we actually had an electrician at our house recently, and it took him a couple of hours to figure out what was wrong; he has been an electrician for decades!).
Yes, AI might help diagnose issues, but someone still has to do the work safely on-site. Electrical mistakes can cause fires or injuries, and homes can be full of surprises like old wiring or DIY fixes from past owners.
Plumbers install and repair pipes, sinks, toilets, water heaters, and drains. They may fix leaks, clear clogs, replace broken parts, or install plumbing for new builds and remodels.
Plumbing problems usually happen at the worst time (right?!), and that’s why AI can’t “take over” this job.
A computer can suggest what the issue might be, but it can’t crawl into a tight space, cut pipe, replace fittings, test for leaks, and make sure everything is safe. A lot of plumbing work is hands-on problem-solving after all, which is what keeps this job safe in an AI world.
HVAC techs install and repair heating and cooling systems, including furnaces, air conditioners, vents, and thermostats.
Heating and air conditioning systems are physical equipment, and that’s a big reason this job will stay around. When someone’s heat goes out in winter (or AC in summer), they need a person who can actually fix it.
Funny story: I recently had an AC issue in my house. I went to ChatGPT to see if it was something that I could fix (I called a few AC companies, but it was the weekend and very hot, so I just couldn’t wait!), and I gave it the issue I was having. ChatGPT told me what was most likely causing the issue. I realized it wasn’t something that I could personally fix. I didn’t tell them that I researched the issue, but they came, looked at it for maybe five minutes and came to the exact same conclusion on what was broken. But, guess what? You still need an AC person to actually fix the issue! So, that is why I don’t think this job will be going away any time soon.
Carpenters build and repair structures like walls, floors, cabinets, trim, decks, and more. Contractors may manage full remodels, plan projects, hire help, and handle materials and timelines.
This type of work requires hands-on skill, measuring, cutting, fitting, and adjusting. A computer might help plan, but it can’t actually do the work. And, yes, I’ve seen the videos of machines 3D printing homes, but I think we’re a long way away from that being the norm.
Cars break down and the repairs need human hands. Even if software gets smarter, someone still has to diagnose the problem and fix it correctly.
Mechanics inspect, diagnose, and repair vehicles. This can include brakes, engines, batteries, tires, sensors, and more. Even with better technology, someone still has to physically inspect the car, diagnose the issue, and fix it safely.
Welders use heat and tools to join metal parts together for things like construction projects, manufacturing, ships, and repairs.
This is hard for AI to replace because it’s hands-on work where precision and safety matter, and every job can be a little different depending on the materials and the project.
A home inspection requires a person walking through a real house and noticing real problems.
Home inspectors check roofs, foundations, electrical systems, plumbing, and more. They write reports to help buyers understand the condition of a home. So, that’s hard to really automate.
Nurses care for patients, give medications, monitor symptoms, help with recovery, and communicate with doctors and families.
AI can help with reminders and notes, but nursing is still a people job. When someone is scared or sick, they need a real person. I think it would be very hard for AI or computers to replace this job anytime soon.

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

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

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

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

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

That community aspect makes a huge difference because starting an online business can feel overwhelming when you’re doing it alone. Having a group of people who are asking questions, sharing wins, and helping each other troubleshoot problems creates a lot of motivation and accountability.
Over the years, we’ve had thousands of students go through the course, and it has been amazing to see what they’ve accomplished. Some students have made their first sale within days of starting, others are now covering their mortgage payments with their side hustle income, and some star students have even quit their day jobs.
For me, coming from the personal finance space, I truly believe selling digital products is one of the easiest ways to start generating passive income. Seeing our students do exactly that every single day is incredibly rewarding. One phrase we live by at Gold City Ventures is, “Create it once, sell it forever.”
You can sign up for a free workshop on how to make money by selling printables by clicking here.
Do you want to make money selling printables online? This free training will give you great ideas on what you can sell, how to get started, the costs, and how to make sales.
Have you ever thought about opening an Etsy printables shop? If so, what’s the biggest thing holding you back?
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