manuwhs / TrapyngLinks
Python library to implement advanced trading strategies using machine learning and perform backtesting.
☆39Updated 5 years ago
Alternatives and similar repositories for Trapyng
Users that are interested in Trapyng are comparing it to the libraries listed below
Sorting:
- A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python☆91Updated 2 months ago
- Pairs trading strategy example based on Catalyst☆49Updated 6 years ago
- High Frequency Pairs Trading Based on Statistical Arbitrage (Python)☆103Updated 6 years ago
- Scalping day trading strategy☆40Updated 5 years ago
- Using Machine Learning for live currency trading☆37Updated 6 years ago
- Example of adaptive trend following strategy based on Renko☆120Updated 6 years ago
- Python Implementations of popular Algorithmic Trading Strategies☆119Updated 5 months ago
- Using Unsupervised learning, K-means, to determine stock support and resistance levels. Great for trading algorithms/bots using time seri…☆109Updated 4 years ago
- quantitative - Quantitative finance back testing library☆63Updated 6 years ago
- This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow …☆72Updated last year
- MIT Trading Competition algorithmic trading of options and securities☆42Updated 6 years ago
- Python Code for Option Analysis☆44Updated 6 years ago
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆25Updated 5 years ago
- ☆49Updated 8 years ago
- Tools for stock options trading: finding best cash covered put and covered call to see, find best call to buy, etc. Keywords: Implied Vo…☆42Updated 4 months ago
- ☆126Updated 6 years ago
- Visual style support and resistance detection using Python code☆64Updated 6 years ago
- Neural Network for HFT-trading [experimental]☆87Updated 4 years ago
- The Implied Volatility Smirk of Individual Option in S&P 500 Shows its Underlying Asset’s Return☆37Updated 4 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆70Updated 8 years ago
- A python script that estimates the support and resistance lines of a stock's prices or a period☆75Updated 4 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆47Updated 5 years ago
- Scalping Trading Unit and Machine Learning using BitMEX API☆57Updated 3 years ago
- Tools to calculate and plot support/resistance lines for OHLC datasets☆26Updated 7 years ago
- This is complete algo trading package is for downloading historical OHLC data for backtesting and performing live trading on Interactive …☆68Updated 4 years ago
- Automatically trades NYSE stocks and ETFs using three high-frequency trading strategies☆71Updated last year
- Event-driven backtest/realtime quantitative trading system.☆75Updated 3 years ago
- High frequency AI based algorithmic trading module.☆72Updated 9 years ago
- Limit Order Book Implemented in Python☆96Updated 7 years ago
- Charts for displaying stocks technical indicators☆55Updated 6 years ago