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Статьи, руководства и аналитика по алгоритмической торговле, стратегиям бэктестинга, количественному анализу и качеству данных.

109–113 of 113 articles

How to Manage Overfitting in Trading SystemsEN
Backtesting

How to Manage Overfitting in Trading Systems

Overfitting occurs when a trading strategy describes noise instead of the underlying market relationship. Learn the 4-step methodology to validate your Expert Advisor against 30+ years of data and avoid curve-fitting traps.

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How to Make Money Without High-Frequency TradingEN
Algorithmic Trading

How to Make Money Without High-Frequency Trading

Good tips for Expert Advisors based on our trading approach. From defining max risk per trade to dynamic position sizing — 5 core principles for profitable systematic trading without HFT.

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Profit or Loss, This Is the Question!EN
Backtesting

Profit or Loss, This Is the Question!

When backtesting in MetaTrader, a candle touching both stop loss and take profit creates ambiguity — which was hit first? The worst-case scenario methodology solves this problem and tests true strategy robustness.

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What if Trading Would Be Easy? Statistical TradingEN
Statistical Trading

What if Trading Would Be Easy? Statistical Trading

Statistical trading is the key according to Larry Williams. We found statistical behaviors in futures markets that form the foundation of a portfolio of trading robots — data-driven, stress-free systematic trading.

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Scalping is a Rip-Off: Why Spread & Slippage Kill HFT ReturnsEN
Trading Framework

Scalping is a Rip-Off: Why Spread & Slippage Kill HFT Returns

Those exponential equity curves from scalping Expert Advisors online? They almost certainly don't account for spread and slippage — the two hidden costs that turn a 'profitable' backtest into a real-money disaster.

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