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stock-model

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elayden / Deep-Learning-Framework-for-Financial-Time-Series-Prediction-in-Python-Keras

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Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for development set, final cross-validation in test set; Calculates model’s annualized return, improvement from buy/hold, percent profitable trades, profit factor, max drawdown

deep-learning time-series neural-networks forecasting stock-price-prediction predictive-modeling financial-data returns stock-model
  • Updated Apr 18, 2020
  • Python

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