Laboratorio de Sistemas de Trading

Four Techniques Tested, One Survived: the Tokyo Fix

We promised to test four techniques from our map and file the results, pass or fail. Three failed. One, the flow after the 09:55 Tokyo fix, held in every year since 2019, became an engine, and is now running live.

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A Map of FX Techniques, and Where Ours Have Been Tested

Every family of FX technique we know of, in one table, with what our own backtests say about each: proven, rejected, or not yet tested. Two patterns stand out, and they decide what we test next.

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Our Daily Signals Are Contrarian. Here Is the Study.

We rebuilt our three D1 signal analyzers over ten years and ten pairs and measured what happened next. The readings are anti-predictive: the stronger the signal, the worse the forward return. What that means for how to read the Signals page.

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Parameter Optimization Without Overfitting Your EA

Learn how to optimize MT5 EAs without curve fitting. Discover how to choose parameter ranges, avoid overfitting traps, and build robust trading systems that survive live markets.

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MT5 Backtest Report Fields Explained: Profit, Drawdown, and Trade Stats

A practical guide to MetaTrader 5 backtest report fields. Learn what Profit Factor, drawdowns, Sharpe ratio, expected payoff, and trade statistics mean, and how to read them for stable EA evaluation.

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EA .set Files Explained: How to Tune a Scalp Strategy Safely

Learn how to adjust a MetaTrader EA .set file for a scalping strategy. This guide explains ADX, ATR, filters, risk controls, and why systematic backtesting is essential for maximizing EA performance.

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Understanding MT5 Modeling Quality: What the Numbers Actually Mean

A deep, practical explanation of MT5 modeling quality. Learn what the numbers really mean, how tick data and real ticks affect backtest precision, and why high modeling quality can still produce misleading results.

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How to Backtest MT5 EAs the Right Way (and Avoid False Confidence)

Learn how to backtest MT5 Expert Advisors the right way. Avoid false confidence caused by poor modeling quality, bad historical data, and unrealistic assumptions. A practical guide for serious EA traders.

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Fixing My Least-Winning MT5 EA: Tokyo Swing Trend (USDJPY H1) — Why Exits, Trailing, and Sizing Matter More Than Entries

I break down my “least winning” MT5 EA (Tokyo_SwingTrend_USDJPY_H1) and explain the real reasons it struggles: an ambitious 2.5R target paired with RSI pullbacks, a too-tight ATR trailing stop, and fixed minimum lot sizing. I also share practical, code-ready optimization directions: 1.5R–1.8R targets, trailing start at 1.5R with wider steps, equity-risk position sizing, and session/time logic driven by data.

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Forex Market Hours Explained: When Your EA Should Trade — and When It Should Stay Quiet

Learn which Forex market hours matter for EA trading, how each session behaves, and when your automated strategy should trade or stay idle.

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