SahuH / Stock-prediction-XGBoostLinks
Stock Prediction with XGBoost: A Technical Indicators' approach
☆30Updated 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
Sorting:
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆61Updated 3 years ago
- Trend Prediction for High Frequency Trading☆43Updated 2 years ago
- Stock Market Prediction Using Unsupervised Features☆54Updated 7 years ago
- Deep q learning on determining buy/sell signal and placing orders☆50Updated 6 years ago
- Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction☆136Updated last year
- Deep Learning - Neural network (RNN, LSTM & GRU)☆65Updated 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…☆40Updated 6 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 6 years ago
- Deep Trading using Convolutional Neural Network☆28Updated 7 years ago
- backtrader with DRL ( Deep Reinforcement Learning)☆70Updated 2 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆50Updated 5 years ago
- Automated FOREX trading using recurrent reinforcement learning☆33Updated 2 years ago
- Pair Trading Strategy using Machine Learning written in Python☆121Updated 3 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆42Updated 2 years ago
- Pair Trading - Reinforcement Learning - with Oanda Trading API☆66Updated 5 years ago
- Hidden Markov Model (HMM) based stock forecasting☆104Updated 7 years ago
- High Frequency Trading☆110Updated 7 years ago
- implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)☆78Updated 2 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆67Updated 2 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators,which help improving perfomance…☆106Updated 5 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 7 years ago
- Applying Deep Learning and NLP in Quantitative Trading☆106Updated 6 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆29Updated 6 years ago
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆133Updated 3 years ago
- A crypto currency live-trading backend for Huobi☆35Updated 7 years ago
- Price Prediction with Machine Learning Models (practicum project at CME group)☆71Updated 9 years ago
- The Implied Volatility Smirk of Individual Option in S&P 500 Shows its Underlying Asset’s Return☆37Updated 4 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆108Updated 6 years ago
- Analyzers for Forex Strategy using Backtrader platform☆26Updated 6 years ago
- Deep learning for price movement prediction using high frequency limit order data☆40Updated 6 years ago