laikasinjason / deep-q-learning-trading-system-on-hk-stocks-market
Deep q learning on determining buy/sell signal and placing orders
☆48Updated 5 years ago
Alternatives and similar repositories for deep-q-learning-trading-system-on-hk-stocks-market:
Users that are interested in deep-q-learning-trading-system-on-hk-stocks-market are comparing it to the libraries listed below
- A financial trading method using machine learning.☆60Updated last year
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆13Updated 3 years ago
- Pair Trading Strategy using Machine Learning written in Python☆114Updated 2 years ago
- ☆72Updated 2 years ago
- Trend Prediction for High Frequency Trading☆39Updated 2 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆78Updated 5 years ago
- Stock and Forex market prediction using ML and time-series modelling☆37Updated 6 years ago
- Stock Market Prediction Using Unsupervised Features☆54Updated 6 years ago
- Pair Trading - Reinforcement Learning - with Oanda Trading API☆65Updated 5 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 7 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- Code base for the meta-labeling papers published with the Journal of Financial Data Science☆79Updated 2 years ago
- Automated FOREX trading using recurrent reinforcement learning☆32Updated 2 years ago
- ☆24Updated 2 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆28Updated 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…☆31Updated 5 years ago
- Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM☆52Updated 4 years ago
- Backtest result archive for Momentum Trading Strategies☆50Updated 6 years ago
- High Frequency Pairs Trading Based on Statistical Arbitrage (Python)☆101Updated 6 years ago
- This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NE…☆59Updated last year
- An implementation of a stock market trading bot, which uses Deep Q Learning☆23Updated 2 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆45Updated 4 years ago
- Implementing a medium freq trading strategy by estimating price impact via order flow.☆14Updated 4 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 6 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q…☆87Updated 5 years ago
- Contains detailed and extensive notes on quantitative trading, leveraging NLP for finance, backtesting, alpha factor research, portfolio …☆43Updated 2 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
- Quantopian Pairs Trading algorithm implementation.☆58Updated 7 years ago
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆25Updated 5 years ago