olonok69 / quant

Diverse porfolios trading investment and Strategy (Zipline, Alphalens, Pyfolio)

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