pelife / QuantRiskLib
Quantitative Library for Finance
☆13Updated 9 years ago
Alternatives and similar repositories for QuantRiskLib:
Users that are interested in QuantRiskLib are comparing it to the libraries listed below
- A fast, interactive, graphical-user-interface oriented software suite for predictive modeling, multivariate time series analysis, real-t…☆17Updated 8 years ago
- Code samples for The Gateway.☆50Updated 6 years ago
- Performance tear sheets and backtest analysis for Moonshot☆36Updated last month
- source : http://coin.wne.uw.edu.pl/pwojcik/hfd_en.html☆36Updated 6 years ago
- Marketmaker trading strategy☆26Updated 8 years ago
- A Python toolkit for high-frequency trade research.☆40Updated 6 years ago
- very fast python backtesting framework based on amibroker backtesting methodology☆40Updated 7 years ago
- ☆46Updated 7 years ago
- A python backend to predict prices of candlesticks.☆23Updated 5 years ago
- quant++: A C++ quantitative trading framework.☆22Updated 12 years ago
- Computational Finance in Python.☆22Updated 7 years ago
- Option Strategy for Futures☆12Updated 4 years ago
- Calculate Black Scholes Implied Volatility - Vectorwise☆15Updated 3 years ago
- A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python☆89Updated 2 years ago
- Simple examples how to connect python to almost any trading platform or framework☆31Updated last year
- quantitative - Quantitative finance back testing library☆64Updated 5 years ago
- finance☆43Updated 7 years ago
- Using Q-learning to better navigate orderbooks.☆21Updated 6 years ago
- Example of order book modeling.☆56Updated 5 years ago
- Pair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models.☆50Updated last year
- A real-time quantitative trading/backtesting platform in C#, supporting IB (full brokerage) and Google Finance (quote only). It adds R su…☆145Updated 2 years ago
- An algorithmic trading framework for pydata.☆15Updated last year
- Python library to implement advanced trading strategies using machine learning and perform backtesting.☆38Updated 5 years ago
- ☆27Updated 4 years ago
- Indicator showing candle stick patterns and breakouts of S&R☆50Updated 6 years ago
- A framework for historical volatility estimation and analysis.☆34Updated 4 years ago
- Backtest your trading strategy at a click of a button! How much alpha can you generate?☆29Updated 2 years ago
- OpenAI Gym Environment for Low-Latency Trading☆18Updated 6 years ago
- In the high-frequency era of trading, orders of stocks can be executed under a millsecond. The information about the thousands of orders …☆10Updated 8 years ago
- Quantitative Trading Library☆27Updated 8 years ago