QUANT Diverse porfolios trading investment and Strategy (Zipline, Alphalens, Pyfolio) / QUANTRA courses / Backtrader folder quantra/Neural Networks for trading File Details: Neural Network Model: Contains the Code for creating a trading strategy using the sklearn neural network model Deep Neural Network Prediction Model for trading- Upload : Contains the Code for creating a trading strategy using the Deep Learnign Model RNN- Example: Contains the Code for creating a RNN model to predict the close prices LSTM- Price Prediction-Upload: Contains the Code for creating a LSTM model to predict the close prices for implementing a trading strategy Cross Validation in Keras-Upload: Contains the Code for creating a trading strategy using Cross Vlaidation Keras_CV: Contians the code to create a function that can build a DNN model folder quantra/Sentimental Analisys TRIN strategy folder quantra/Decision Trees Section 3: Classification model Classification Tree Model.ipynb Class Weights in Decision Trees Section 4: Regression Trees Regression Tree.ipynb Section 5: Parallel Ensemble Methods Bagging Random subspace Random forest Section 6: Sequential Ensemble Methods AdaBoosting.ipynb Gradient Boosting.ipynb Section 7: Cross Validation and Hyperparameter Tuning Cross Validation.ipynb Hyperparameter Tuning.ipynb Folder Quantopian Diverse examples of trading strategies with zipline, pyfolio, alphalens Dual Moving Average Backtrader Connors RSI Donchian Channels Dual Moving Average