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(Meta Description: Discover why most traders fail and learn how to avoid common trading mistakes. Improve your strategy, risk management, and discipline for long-term success.)

Trading—whether in stocks, forex, cryptocurrencies, or commodities—can be a highly profitable venture, but it’s also one where many people fail. Studies suggest that over 90% of traders lose money in the long run. Why does this happen? And more importantly, how can you avoid these mistakes?

In this article, we’ll explore the key reasons why traders fail and provide actionable tips to help you succeed.
1. Lack of Proper Education and Strategy

Many beginners jump into trading without understanding market fundamentals, technical analysis, or risk management. They rely on hunches, social media tips, or "get-rich-quick" schemes instead of developing a solid strategy.

✅ Solution: Invest time in learning trading basics, backtest strategies, and use demo accounts before risking real money.
2. Emotional Trading (Fear and Greed)

Emotions like fear and greed lead to impulsive decisions—selling too early out of panic or holding onto losing trades hoping for a rebound.

✅ Solution: Follow a disciplined trading plan, set stop-loss and take-profit levels, and avoid overtrading.
3. Poor Risk Management

Many traders risk too much capital on a single trade, leading to significant losses. Without proper risk management, even a few bad trades can wipe out an account.

✅ Solution: Never risk more than 1-2% of your capital on a single trade. Use stop-loss orders to limit losses.
4. Chasing Losses (Revenge Trading)

After a losing streak, some traders try to "win back" their losses by taking bigger, riskier trades—often leading to even greater losses.

✅ Solution: Accept losses as part of trading. Stick to your strategy and avoid emotional revenge trading.
5. Overtrading (Too Many Trades, Too Often)

Some traders believe that more trades = more profits. However, overtrading leads to higher fees, emotional burnout, and poor decision-making.

✅ Solution: Focus on quality over quantity. Wait for high-probability setups instead of forcing trades.
6. Ignoring Market Trends and News

Trading against the trend or ignoring major economic events (like Fed announcements or earnings reports) can result in unexpected losses.

✅ Solution: Stay updated with financial news and trade in the direction of the overall trend.
7. Unrealistic Expectations

Many new traders expect to make huge profits quickly. When reality doesn’t match their expectations, they abandon their strategy or take reckless risks.

✅ Solution: Treat trading as a long-term skill. Consistent small gains compound over time.
Conclusion: How to Succeed in Trading

The difference between successful traders and those who fail often comes down to discipline, education, and risk management. By avoiding these common mistakes, you increase your chances of long-term profitability.
Key Takeaways:

✔ Educate yourself before trading with real money.
✔ Control emotions—stick to your trading plan.
✔ Manage risk—never bet more than you can afford to lose.
✔ Avoid overtrading—quality over quantity.
✔ Stay patient—trading success takes time.

By following these principles, you can avoid the pitfalls that trap most traders and build a sustainable trading career.

Today’s discussion aims to address the challenge of analyzing candlestick patterns using geometric approaches. In our recent article, From Novice to Expert: Programming Candlesticks, we focused on identifying simple candlestick patterns, which are typically composed of just a few candles. However, when working with larger sequences of candlesticks, pattern recognition becomes more complex, as consistency tends to diminish over long series.

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Mike Bellafiore’s book, "One Good Trade: Inside the Highly Competitive World of Proprietary Trading," offers a rare and insightful look into the life of a professional trader at a proprietary trading firm. As co-founder of SMB Capital, Bellafiore pulls back the curtain on what it truly takes to succeed in one of the most demanding and unforgiving environments in finance.

The core message of the book revolves around the concept of making "one good trade"—a trade that is well-planned, well-executed, and aligns with the trader’s strategy and risk parameters. Rather than chasing profits or glory, Bellafiore emphasizes the importance of discipline, process, and continuous improvement. This principle serves as a guiding philosophy for developing consistency in performance.

Through real-life stories and trader case studies, Bellafiore shares both the triumphs and failures of those on the trading desk. He provides an honest portrayal of the emotional and psychological challenges traders face daily—fear, greed, overconfidence, and doubt—and how successful traders build mental resilience and self-awareness to manage them.

What makes "One Good Trade" stand out is its hands-on, practical approach. Bellafiore doesn’t just discuss trading strategies—he shows how traders are trained, how their performance is evaluated, and what separates average traders from elite performers. Topics such as journaling, reviewing trades, setting goals, and building playbooks are given equal weight to market analysis and technical skills.

The book also highlights the shift in the trading world from instinct-based decisions to data-driven analysis and structured routines. In an era where edge is fleeting and competition is global, the trader who survives is the one who treats trading as a craft.

"One Good Trade" is essential reading for aspiring traders and market professionals. It’s not a get-rich-quick manual, but a deep dive into the mindset and habits needed to thrive in modern trading. In Bellafiore’s words, it’s not about the home run—it’s about showing up every day and doing the work to make that one good trade.

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Originally Posted by matfx

Mike Bellafiore’s book, "One Good Trade: Inside the Highly Competitive World of Proprietary Trading," offers a rare and insightful look into the life of a professional trader at a proprietary trading firm. As co-founder of SMB Capital, Bellafiore pulls back the curtain on what it truly takes to succeed in one of the most demanding and unforgiving environments in finance.

The core message of the book revolves around the concept of making "one good trade"—a trade that is well-planned, well-executed, and aligns with the trader’s strategy and risk parameters. Rather than chasing profits or glory, Bellafiore emphasizes the importance of discipline, process, and continuous improvement. This principle serves as a guiding philosophy for developing consistency in performance.

Through real-life stories and trader case studies, Bellafiore shares both the triumphs and failures of those on the trading desk. He provides an honest portrayal of the emotional and psychological challenges traders face daily—fear, greed, overconfidence, and doubt—and how successful traders build mental resilience and self-awareness to manage them.

What makes "One Good Trade" stand out is its hands-on, practical approach. Bellafiore doesn’t just discuss trading strategies—he shows how traders are trained, how their performance is evaluated, and what separates average traders from elite performers. Topics such as journaling, reviewing trades, setting goals, and building playbooks are given equal weight to market analysis and technical skills.

The book also highlights the shift in the trading world from instinct-based decisions to data-driven analysis and structured routines. In an era where edge is fleeting and competition is global, the trader who survives is the one who treats trading as a craft.

"One Good Trade" is essential reading for aspiring traders and market professionals. It’s not a get-rich-quick manual, but a deep dive into the mindset and habits needed to thrive in modern trading. In Bellafiore’s words, it’s not about the home run—it’s about showing up every day and doing the work to make that one good trade.

Read more

Great overview. Definitely a must-have in my library of trading books. Heard about this book in one of recent HFM webinars I attended

To address this limitation, the study "Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management" introduces MASA (Multi-Agent and Self-Adaptive). MASA integrates two interacting agents: the first optimizes returns using the TD3 algorithm, while the second minimizes risks through evolutionary algorithms or other optimization methods. In addition, MASA incorporates a market observer that leverages deep neural networks to analyze market trends and provide feedback.

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Mini-articles with technical and fundamental analysis on the way as forecasts and levels (with good indicators uploaded by source codes) -
https://www.mql5.com/en/channels/forecast

When most traders begin their journey, they’re advised to choose strategies that match their risk profile. While this is reasonable, this article petitions to the reader that trading strategies should be first discovered based on expected performance levels rather than idealized preferences. Identifying profitable strategies is a universal challenge for algorithmic traders, regardless of experience. The difficulty is compounded by the constant flow of new strategies, indicators, and expert advisors emerging from our rapidly growing global community of algorithmic traders.

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In the previous article, we discussed and made a simulator class in Python called TradeSimulator, which relied heavily on information from MetaTrader 5, such as ticks, bar data, symbol information, and much more.

The first article laid the foundation for what's required in imitating the MetaTrader 5 client, and its strategy tester (simulator). In this article, we will introduce ticks and bars data, as well as functions similar to those provided by the Python-MetaTrader 5 module in the simulator, taking a step closer to replicating everything that MetaTrader 5 does and provides.

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