Metnew / neural-finance
Neural Network for HFT-trading [experimental]
☆86Updated 3 years ago
Alternatives and similar repositories for neural-finance:
Users that are interested in neural-finance are comparing it to the libraries listed below
- High frequency AI based algorithmic trading module.☆70Updated 8 years ago
- Analysis of High Frequency Trading on Bitcoin exchanges☆156Updated 7 years ago
- Limit Order Book Implemented in Python☆92Updated 7 years ago
- High Frequency Trading☆107Updated 6 years ago
- ☆124Updated 6 years ago
- Price Prediction with Machine Learning Models (practicum project at CME group)☆66Updated 8 years ago
- HFTrader is fully automated high frequency trading system☆92Updated 12 years ago
- Technical Analysis Library Time-Series☆154Updated 4 months ago
- ☆136Updated 2 years ago
- Event-driven backtest/realtime quantitative trading system.☆74Updated 3 years ago
- High Frequency Pairs Trading Based on Statistical Arbitrage (Python)☆101Updated 5 years ago
- Automatically trades NYSE stocks and ETFs using three high-frequency trading strategies☆64Updated 7 months ago
- Example of adaptive trend following strategy based on Renko☆118Updated 5 years ago
- Python code for High-frequency trading in a limit order book by Marco Avellaneda and Sasha Stoikov☆136Updated 4 years ago
- Visualization Tool for Deribit Options☆78Updated 4 years ago
- A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python☆89Updated 2 years ago
- Volume-Synchronized Probability of Informed Trading☆110Updated 11 years ago
- Pairs trading strategy example based on Catalyst☆47Updated 6 years ago
- Order Imbalance Strategy in High Frequency Trading☆128Updated 6 years ago
- Proprietary trading solution for high-frequency trading (HFT) and statistical arbitrage algorithms☆84Updated 11 years ago
- Limit Order Book data analysis and modeling using LSTM network☆132Updated 5 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆69Updated 7 years ago
- A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.☆152Updated 5 years ago
- algo trading backtesting on BitMEX☆76Updated last year
- Modular trading models with Interactive Brokers and backtester in Python☆120Updated 5 years ago
- Elliot Wave Analyzer for OHLC data☆77Updated 6 years ago
- Python Implementations of popular Algorithmic Trading Strategies☆113Updated this week
- Pair Trading Strategy using Machine Learning written in Python☆114Updated 2 years ago
- Python library for high frequency portfolio analysis, intraday backtesting and optimization☆66Updated 7 years ago
- Trading environnement for RL agents, backtesting and training.☆166Updated 2 years ago