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P6.A1-How To Identify Overfit Trading Strategies

How To Identify Overfit Trading Strategies

In this post, we describe the main features and behaviours of overfit trading strategies, and the risks they pose to both traders and DARWIN investors. Overfit trading strategies typically perform well in backtesting environments, creating the illusion that they exploit the market inefficiency being targeted, really well. However, when deployed in a live trading environment, their performance…

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MetaTrader Backtesting – Best Practices for Algorithmic Traders

MetaTrader Backtesting – Best Practices for Algorithmic Traders

MetaTrader backtesting can be tricky business for algorithmic traders. Follow these best practices to engineer robust, reliable trading strategies. Watch the full video tutorial here (36 minutes). Simulating a strategy's historical performance correctly, increases the probability of it generalizing well to unseen market data in future. As such, it's important that all backtesting be conducted robustly, careful…

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Mean Reversion Tests on DARWIN $DWC

Mean Reversion Tests on DARWIN $DWC

In a previous post - Quantitative Modeling for Algorithmic Traders - we discussed the importance of Expectation, Variance, Standard Deviation, Covariance and Correlation. In this post we'll discuss how those concepts can be applied to DARWIN assets. As a practical example, we will employ a series of statistical tests to assess if DARWIN $DWC is a Mean…

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You searched for algorithmic trading - Darwinex Blog

The Darwinex® brand and the http://www.darwinex.com domain are commercial names used by Tradeslide Trading Tech Limited, a company regulated by the Financial Conduct Authority (FCA) in the United Kingdom with FRN 586466, with company registration number 08061368 and registered office in Acre House, 11-15 William Road, London NW1 3ER, UK. and by Sapiens Markets EU Sociedad de Valores SA, a company regulated by the Comisión Nacional del Mercado de Valores (CNMV) in Spain under the number 311, with CIF A10537348 and registered office in Calle de Recoletos, 19, Bajo, 28001 Madrid, Spain.

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