seaweiqing / deep_trading
This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generated to form trading strategies.
☆20Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for deep_trading
- Machine learning approach to high frequency trading, MLP & RNN used☆22Updated 8 years ago
- A crypto currency live-trading backend for Huobi☆37Updated 6 years ago
- Trend Prediction for High Frequency Trading☆38Updated last year
- Modelling for price change forecast using High-frequency Trading limit order book dynamics using ML algorithms☆24Updated 6 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 6 years ago
- Deep learning for price movement prediction using high frequency limit order data☆38Updated 6 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆39Updated last year
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 6 years ago
- ☆24Updated 6 years ago
- Hedging portfolios with reinforcement learning.☆34Updated 7 years ago
- tools for alpha research☆23Updated 6 years ago
- Deep Reinforcement Learning A3C Crypto Trading Bot☆40Updated 6 years ago
- OpenAI Gym Environment for Low-Latency Trading☆18Updated 6 years ago
- Deep q learning on determining buy/sell signal and placing orders☆47Updated 5 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 5 years ago
- PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Managemen…☆21Updated 6 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆12Updated 3 years ago
- A low frequency statistical arbitrage strategy☆19Updated 5 years ago
- Particle swarm optimization (PSO) in algorithmic trading example using Backtrader backtesting framework.☆18Updated 4 years ago
- Apply LASSO in High-Frequency-Trading☆9Updated 5 years ago
- ☆34Updated 6 years ago
- apolanco3225 / Deep-Reinforcement-Learning-for-Optimal-Execution-of-Portfolio-Transactions-using-DDPGPerforming a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment…☆53Updated 5 years ago
- Unsupervised Learning to Market Behavior Forecasting Example☆40Updated 4 years ago
- Exercises in 'Advances in Financial Machine Learning' by Lopez de Prado☆3Updated last year
- This repository contains an automated trading system using machine learning for stock return prediction, position sizing and generating e…☆14Updated 5 years ago
- This is a research about using ML or RL predictions for HFT Market Making. Backtest was build on Full order log☆27Updated 3 years ago
- The Implied Volatility Smirk of Individual Option in S&P 500 Shows its Underlying Asset’s Return☆36Updated 4 years ago
- Deep Reinforcement Learning applied to trading☆15Updated 5 years ago
- Automated FOREX trading using recurrent reinforcement learning☆32Updated last year
- for 18HS MFOEC198 Introduction to systematic risk premia strategies traded at hedge funds (L+E)☆13Updated 4 years ago