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☆42Updated 2 years ago
- Deep q learning on determining buy/sell signal and placing orders☆50Updated 6 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
- Automated FOREX trading using recurrent reinforcement learning☆33Updated 2 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 6 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 7 years ago
- Deep Learning - Neural network (RNN, LSTM & GRU)☆65Updated 6 years ago
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆34Updated 4 years ago
- Stock Market Prediction Using Unsupervised Features☆54Updated 6 years ago
- Pair Trading Strategy using Machine Learning written in Python☆120Updated 3 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 2 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆29Updated 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
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆49Updated 5 years ago
- Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction☆135Updated last year
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆66Updated 2 years ago
- Applying Deep Learning and NLP in Quantitative Trading☆106Updated 6 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆27Updated 6 years ago
- The Implied Volatility Smirk of Individual Option in S&P 500 Shows its Underlying Asset’s Return☆37Updated 4 years ago
- ☆29Updated 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…☆15Updated 4 years ago
- Hidden Markov Model (HMM) based stock forecasting☆103Updated 7 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance…☆104Updated 5 years ago
- In this repository, the goal is to predict the tick direction of a stock based on its current order book and trade data. A LSTM Neural Ne…☆20Updated 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 5 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- backtrader with DRL ( Deep Reinforcement Learning)☆70Updated 2 years ago
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆22Updated 5 years ago
- Code base for the meta-labeling papers published with the Journal of Financial Data Science☆87Updated 2 years ago