SahuH / Stock-prediction-XGBoost
Stock Prediction with XGBoost: A Technical Indicators' approach
☆27Updated 5 years ago
Alternatives and similar repositories for Stock-prediction-XGBoost:
Users that are interested in Stock-prediction-XGBoost are comparing it to the libraries listed below
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- Automated FOREX trading using recurrent reinforcement learning☆32Updated 2 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 6 years ago
- Trend Prediction for High Frequency Trading☆37Updated 2 years ago
- Deep Learning - Neural network (RNN, LSTM & GRU)☆63Updated 6 years ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆30Updated 5 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆21Updated 6 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆13Updated 3 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆40Updated 2 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆78Updated 5 years ago
- A financial trading method using machine learning.☆59Updated last year
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 7 years ago
- A simply framework of researching stock data through LSTM by Tensorflow☆17Updated 5 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- —Machine Learning; stock prediction; Deep Learning; styling; LSTM(Long Short Term Memory)☆9Updated 7 years ago
- Deep q learning on determining buy/sell signal and placing orders☆47Updated 5 years ago
- Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features …☆29Updated 5 years ago
- Predicting stock price by using Hidden Markov model☆18Updated 7 years ago
- a unified environment for supervised learning and reinforcement learning in the context of quantitative trading☆46Updated 3 years ago
- ☆63Updated 6 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆18Updated 4 months ago
- High Frequency Jump Prediction Project☆35Updated 4 years ago
- Momentum following strategies and optimal execution cost upon Implement Shortfall algorithm☆15Updated 5 years ago
- Mean-Variance Optimization using DL (pytorch)☆30Updated 2 years ago
- Exercises in 'Advances in Financial Machine Learning' by Lopez de Prado☆3Updated last year
- This project is to apply Copula Function to pair trading strategy both in American stock market.☆24Updated 6 years ago
- https://arxiv.org/abs/2006.04992☆19Updated 3 years ago
- Applying Deep Learning and NLP in Quantitative Trading☆104Updated 5 years ago
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆32Updated 4 years ago
- Pair Trading - Reinforcement Learning - with Oanda Trading API☆65Updated 5 years ago