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 8 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:
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆24Updated 3 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
- A simply framework of researching stock data through LSTM by Tensorflow☆17Updated 6 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆20Updated last year
- Building a High Frequency Trading Engine with Neural Networks☆12Updated 7 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆12Updated 4 years ago
- ☆19Updated 5 years ago
- Alpaca-based Order Book Inbalace Algorithm.☆12Updated 5 years ago
- Trend Prediction for High Frequency Trading☆43Updated 3 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- verify OrderBook Tick Data Trading Strategy on futures.☆16Updated 6 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆12Updated 2 years ago
- Use machine learning to trade bitcoin.☆10Updated 4 years ago
- Channel break out strategy for High Frequency Trading.☆15Updated 7 years ago
- Deep learning models for high-frequency financial data (limited order book)☆19Updated 6 years ago
- Vpin caculation and backtesting☆14Updated 6 years ago
- Paper: https://arxiv.org/pdf/2008.12275.pdf☆27Updated 5 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆28Updated 7 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 7 years ago
- Exploring Optimal Order Execution in Simulated Limit Order Books☆19Updated 3 years ago
- LSTM stock prediction and backtesting☆14Updated 5 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
- 🏦 Collect quant trade strategy and deep learning trading implementation☆13Updated 7 years ago
- a unified environment for supervised learning and reinforcement learning in the context of quantitative trading☆46Updated 4 years ago
- Hedging portfolios with reinforcement learning.☆36Updated 8 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 5 years ago
- ☆17Updated 3 years ago
- Stock Market predictions are one of the most difficult problems to solve, and during the looming days of recession it’s extremely difficu…☆16Updated 5 years ago
- ☆18Updated 6 years ago