SahuH / Stock-prediction-XGBoost
Stock Prediction with XGBoost: A Technical Indicators' approach
☆28Updated 6 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
- Automated FOREX trading using recurrent reinforcement learning☆33Updated 2 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 6 years ago
- Trend Prediction for High Frequency Trading☆39Updated 2 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
- 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
- Deep Learning - Neural network (RNN, LSTM & GRU)☆65Updated 6 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆45Updated 4 years ago
- A simply framework of researching stock data through LSTM by Tensorflow☆17Updated 6 years ago
- ☆72Updated 2 years ago
- Stock Market Prediction Using Unsupervised Features☆54Updated 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…☆31Updated 5 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆29Updated 6 years ago
- Momentum following strategies and optimal execution cost upon Implement Shortfall algorithm☆15Updated 5 years ago
- A financial trading method using machine learning.☆60Updated last year
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆33Updated 4 years ago
- Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)☆20Updated 7 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 7 years ago
- ☆17Updated 8 years ago
- Particle swarm optimization (PSO) in algorithmic trading example using Backtrader backtesting framework.☆19Updated 5 years ago
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆22Updated 5 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
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Am…☆15Updated 7 years ago
- Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features …☆31Updated 5 years ago
- A multi-factor stock selection model based on random forest with an average annualized yield of 33.74% from March 2014 to June 2017 when …☆15Updated 6 years ago
- Exercises in 'Advances in Financial Machine Learning' by Lopez de Prado☆3Updated last year
- Deep q learning on determining buy/sell signal and placing orders☆48Updated 5 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆21Updated 7 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆20Updated 6 months ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆70Updated 7 years ago