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Build Better Strategies! Part 4: Machine the data mining approach for developing trading strategies. Build Better Strategies! Part 4: Machine Learning

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On Jan 1, 2006 Philipp Weber published: Response functions, trading strategies, and random matrices: Analysis of large fluctuations and correlations in stock price

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the differential evolution strategies with random forest method which is an ensemble based method gaining popularity in prediction. Instead of

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Trading Strategy Example 3 – Using Candlestick Formations. For new traders, this might be the most difficult of the strategies to explain,

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An Exploration of Simple Optimized Technical Trading

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Applying Deep Learning to Enhance Momentum Trading

An options strategy refers to a method for trading calls and puts by combining them together. Usually, this involves both long and short directions (i.e. buying and

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Air pollution prediction via Differential evolution

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This algorithm uses a random forest classifier with a threshold for how much the price moved e. It appears to smooth out SPY a bit, but clearly not a successful strategy.