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 […]

    In LVQ and Machine Learning for Algorithmic Traders – Part 1, we discussed and demonstrated a technique (Linear Vector Quantization) to decipher the relevance and relative importance of each feature variable in the dataset under study. In doing so, algorithmic traders would be able to isolate which of a dataset’s features (read: strategy […]