xiaomizhou616 / Machine-Learning-for-TradingLinks
This project analysed financial data and designed trading strategies by machine learning models.
☆10Updated 6 years ago
Alternatives and similar repositories for Machine-Learning-for-Trading
Users that are interested in Machine-Learning-for-Trading are comparing it to the libraries listed below
Sorting:
- Monlan is a collection of Data Science experiments (DRL and other approaches) into FOREX algotrading field. Warning! It's my research pro…☆12Updated 3 years ago
- An Empirical Study of Optimal Combination of Algorithms for Prediction-Based Portfolio Optimization Model using Machine Learning over Co…☆11Updated 3 years ago
- Reinforcement Learning in FX Trading☆28Updated 5 years ago
- Intraday momentum strategy that buys (sells) leveraged ETFs late in the trading session following a significant intraday gain (loss) and …☆26Updated last year
- Recurrent Reinforcement Learning (RRL)This is a repository for the implementations of RRL, mainly following Moody's work, other authors w…☆9Updated 7 years ago
- 🏦 Collect quant trade strategy and deep learning trading implementation☆13Updated 7 years ago
- LSTM stock prediction and backtesting☆14Updated 5 years ago
- Exercises in 'Advances in Financial Machine Learning' by Lopez de Prado☆3Updated 2 years ago
- ☆11Updated 4 years ago
- Creating DRL infrastructure for Dynamic Beta with Zipline and Keras☆15Updated 2 years ago
- Training and evaluation of Deep Reinforcement Learning cruptocurrency trading agent.☆16Updated 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…☆15Updated 4 years ago
- Deep Reinforcement Learning applied to trading☆15Updated 6 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆23Updated 3 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
- Stock Price Prediction with LSTM and Trading Strategy with Reinforcement Learning☆14Updated 5 years ago
- Automated trading bot with Functional GUI using an integrated deep learning model to predict stock prices and flag buy and sell periods.☆12Updated 4 years ago
- Paper: https://arxiv.org/pdf/2008.12275.pdf☆26Updated 4 years ago
- Building a High Frequency Trading Engine with Neural Networks☆12Updated 7 years ago
- A HMM application in Kritzman Regime Detection☆15Updated 5 years ago
- Application of Machine Learning Algorithms to Intraday Stock Trading Based on Demand Zones☆15Updated 6 years ago
- A Deep Reinforcement Learning neural net for an original Multi-Dimensional Pairs Trading strategy is proposed☆21Updated 6 years ago
- Momentum following strategies and optimal execution cost upon Implement Shortfall algorithm☆15Updated 6 years ago
- Create a mid-price classifier for limit order books using a CNN and LSTM☆14Updated 5 years ago
- ☆16Updated 3 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆20Updated 11 months ago
- Hedging portfolios with reinforcement learning.☆35Updated 8 years ago
- 实行gamma scalping策略时的期权组合选择工具☆16Updated 6 years ago
- ☆28Updated 2 years ago