jay-chakalasiya / Stock-Market-Prediction-And-Feature-selectionLinks
This project deals with the use of machine learning to predict changes in stock values as well as we incorporating study on effect of different feature selection in our results, as well as we are introducing the non traditional features like Date with specific mapping function and many stock market anomalies
☆13Updated 7 years ago
Alternatives and similar repositories for Stock-Market-Prediction-And-Feature-selection
Users that are interested in Stock-Market-Prediction-And-Feature-selection are comparing it to the libraries listed below
Sorting:
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- A Python system to generate Volume Weighted Average Pricing (VWAP) Model based Long/Short Trading Signal☆17Updated 8 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆14Updated 3 years ago
- A simply framework of researching stock data through LSTM by Tensorflow☆17Updated 6 years ago
- Channel break out strategy for High Frequency Trading.☆14Updated 7 years ago
- Predicting a Stock Price Using a Genetic Algorithm☆16Updated 7 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Updated 9 years ago
- Alpaca-based Order Book Inbalace Algorithm.☆12Updated 4 years ago
- Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for develo…☆11Updated 5 years ago
- Time-Series Momentum Strategies☆12Updated 6 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆11Updated 2 years ago
- Code for researching and backtesting pairs trading☆24Updated 15 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆12Updated 4 years ago
- Assets' Risk Management Using Mean-Variance Opt Based On Mult-Factors Trending Prediction☆30Updated 8 years ago
- In this work an application of the Triple-Barrier Method and Meta-Labeling techniques is explored with XGBoost for the creation of a sent…☆20Updated last year
- 🏦 Collect quant trade strategy and deep learning trading implementation☆13Updated 7 years ago
- Hedging portfolios with reinforcement learning.☆35Updated 7 years ago
- Building a High Frequency Trading Engine with Neural Networks☆12Updated 7 years ago
- 实行gamma scalping策略时的期权组合选择工具☆16Updated 6 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 4 years ago
- The strategy-backtesting repository will hold the event driven python backtester. This program will test algorithmic strategies and pro…☆16Updated 9 years ago
- In the high-frequency era of trading, orders of stocks can be executed under a millsecond. The information about the thousands of orders …☆10Updated 9 years ago
- Use machine learning to trade bitcoin.☆10Updated 4 years ago
- Modelling for price change forecast using High-frequency Trading limit order book dynamics using ML algorithms☆25Updated 7 years ago
- machine learning trading system using random decision tree to train the technical indicators☆10Updated 8 years ago
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆11Updated 5 years ago
- verify OrderBook Tick Data Trading Strategy on futures.☆15Updated 6 years ago
- This is the final project of Statistical Arbitrage course and it aims to apply pairs trading in high frequency data to realize auto-tradi…☆19Updated 6 years ago
- ☆18Updated 6 years ago
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆23Updated 3 years ago