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. -1 J

    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

  2. -1 J

    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

  3. -5 J

    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

  4. -5 J

    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

  5. 30 JANV.

    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

  6. 30 JANV.

    The Professional Edge: Mastering the Art of Drawdown Management

    In the world of automated trading, drawdowns are not a failure—they are part of the system. This podcast explores how professional traders distinguish themselves from amateurs by designing systems to survive inevitable losing periods rather than trying to avoid them completely. We dive deep into why professionals obsess over the depth and duration of the equity curve rather than just total profits, and why keeping drawdowns low is mathematically superior to chasing high-risk returns. Tune in to learn why staying in the game matters more than growing fast.

    30 min

  7. 27 JANV.

    The Scalper’s Control Panel: Decoding EA Configurations

    An EA .set file is not merely a collection of numbers; it serves as the control panel that dictates when a strategy trades, when it remains silent, and how it manages risk. In this episode, we deconstruct a real-world Tokyo USDJPY scalping configuration to explain the critical "why" behind every adjustment. We dive deep into specific parameter groups, including Session Control for targeting market liquidity, ATR for gating volatility, and ADX for distinguishing structured markets from random noise. Finally, we explore the philosophy of robust system building, discussing why a .set file defines the environment rather than the edge itself, and how disciplined backtesting turns raw data into tangible performance gains.

    34 min

  8. 22 JANV.

    Beyond the Touch: Using Bollinger Bands as a Volatility Framework

    Are you an automated trader whose system overtrades and underperforms because it treats Bollinger Bands as simple buy or sell signals? In this episode, we break down why the common intuition—sell the upper band, buy the lower band—is a dangerous trap for Expert Advisors (EAs). We explore why band touches are actually information regarding market strength rather than reversal signals, explaining how price can "walk the band" during strong trends. Instead of signal chasing, we discuss how professional traders use Bollinger Bands as a volatility measurement framework to classify market states. Key topics covered: • The Myth of the Signal: Why Bollinger Bands describe conditions rather than decisions. • The Squeeze: Understanding volatility compression as a "state flag" to prepare your system for what comes next. • Volatility Expansion: How to identify when the market is leaving balance and "waking up". • Regime Detection: Using band width and flatness to distinguish between ranging markets and trending environments. Stop fighting volatility and learn to use bands for entry permission, trade suppression, and adaptive stop sizing. This episode is for EA traders focused on structure and performance.

    23 min
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À propos

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.

Informations

  • Création
    1KPIPS
  • Années d’activité
    2 k
  • Épisodes
    21
  • Classification
    Tous publics
  • Copyright
    © 1KPIPS
  • Site web de l’émission
    Forex Trading Systems Lab