Forex Trading Systems Lab

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Trading Systems Lab is a practical podcast for traders and developers building automated trading systems. Each episode covers EA design, MT5 development, backtesting, risk control, and market structure—without hype or predictions. Topics include why indicators fail, how to evaluate expectancy, and how to turn trading ideas into code. Short, focused episodes based on real systems and real results.

  1. 19 HRS AGO

    The Architecture of Robust Trading: Mastering Market Regimes

    Most trading strategies don’t fail because of bad entries; they fail because they are applied to the wrong market state. Join us as we explore the critical concept of "Regime Awareness". We discuss why professionals view indicators as diagnostic filters rather than simple signals, how to distinguish between trending and ranging environments using volatility, and why robust systems prioritize knowing when not to trade.

    29 min

  2. 2 DAYS AGO

    Building Unbreakable Bots: The Strategy vs. Engine Approach

    In this episode, we break down the critical architectural pattern that separates a trading system's "brain" from its "hands". We explore how decoupling your pure signal logic (Trend.mqh) from real-world execution (TrendEA.mq5) prevents common live-trading failures like spread spikes and session drifts. Listen in to learn why this separation is the key to turning fragile backtest wonders into production-ready survivors.

    32 min

  3. 2 DAYS AGO

    Beyond Net Profit: Decoding the MT5 Strategy Tester

    This episode dives into the MetaTrader 5 Strategy Tester report, guiding traders on how to evaluate a strategy's robustness beyond just the "Total Net Profit" figure. We explore critical "edge" metrics like Profit Factor and Recovery Factor, explain why Equity Drawdown is often more honest than Balance Drawdown, and discuss how to analyze trade counts and distributions to avoid overfitting

    40 min

  4. 4 DAYS AGO

    Bridging the Gap: From Trading Idea to Automated EA

    Many traders struggle to turn a good chart idea into a working Expert Advisor (EA). In this episode, we explore the professional roadmap for translating indicators into robust automated systems. We cover why indicators are not strategies, the vital distinction between signal detection and trade permission, and why execution quality often trumps signal brilliance. Learn how to avoid common coding pitfalls and build systems that survive real market conditions.

    37 min

  5. 4 DAYS AGO

    Surviving the Shift: Why Expert Advisors Expire

    In this episode, we explore why most Expert Advisors don't actually fail—they expire. We discuss the concept of "market regimes"—shifts in volatility, liquidity, and direction—and why systems built on static assumptions are destined to break. Instead of trying to predict the future, we examine the "1kPips" philosophy of "regime awareness," focusing on logic that degrades gracefully and knows when not to trade. Learn why robust systems often trade less over time and how separating strategy from environmental detection is the key to long-term survival.

    38 min

  6. 5 FEB

    Weather, Not Traffic Lights: Why Bollinger Bands Are a Volatility Framework, Not an Entry Signal

    In this episode, we analyze why Bollinger Bands are one of the most popular yet most misused indicators in trading. We break down the common mistake of treating the bands as simple "overbought" or "oversold" triggers, a misunderstanding that often leads to failed strategies in trending markets. Drawing on insights from 1kPips, we explain how to properly utilize Bollinger Bands as a volatility map rather than a direct signaling tool. We discuss: • The "Squeeze": Why tight bands are a warning that "something is about to change" rather than a signal to trade. • Expansion Phases: How identifying increasing volatility helps professional traders avoid the "danger zone" where mean reversion logic fails. • Contextual Analysis: Understanding why a band touch can indicate exhaustion in a range but strength in a trend. Join us to learn why you should treat Bollinger Bands like the weather (conditions) rather than traffic lights (actions), using them to determine if the market environment supports your strategy before you ever look for an entry.

    30 min

  7. 5 FEB

    The Mathematics of Survival: Navigating the Risk of Ruin

    This episode explores the concept of risk of ruin, defining it as the statistical probability that a trading account will suffer a loss so severe that recovery becomes impossible. The author argues that account survival is the primary objective of any professional strategy, as even profitable systems are guaranteed to eventually encounter inevitable losing streaks. While many retail traders focus on high win rates or short-term gains, the article emphasizes that position sizing and risk management are the only true defenses against total capital depletion. Ultimately, the source serves as a cautionary guide, explaining that longevity in the markets is achieved by prioritizing mathematical safety over aggressive growth to ensure a trader can withstand the worst-case scenarios.

    27 min

  8. 30 JAN

    Under the Hood: Deconstructing the RangeRevert Mean Reversion Architecture

    In this episode, we unpack the architecture of RangeRevert, a MetaTrader 5 Expert Advisor designed for mean-reversion trading in oscillating markets. We explore the strategy’s unique "gate pipeline," which utilizes an ATR window to ensure volatility is within a safe range and an ADX filter to block trades during strong trends. Listeners will learn about the EA’s modular code structure—specifically the separation between the Engine (execution safety) and the Strategy Module (pure logic)—and how this design keeps the code maintainable and debuggable. We also break down critical tuning parameters, including band interaction styles (Touch vs. Reclaim) and how RSI is used not for prediction, but for precise entry timing to avoid entering trades too early. Whether you are optimizing .set files or studying the GitHub source code, this guide explains how RangeRevert filters noise to target high-quality range regimes.

    37 min
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About

Trading Systems Lab is a practical podcast for traders and developers building automated trading systems. Each episode covers EA design, MT5 development, backtesting, risk control, and market structure—without hype or predictions. Topics include why indicators fail, how to evaluate expectancy, and how to turn trading ideas into code. Short, focused episodes based on real systems and real results.

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