QuantConnect / Tutorials
Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.
☆585Updated last year
Alternatives and similar repositories for Tutorials:
Users that are interested in Tutorials are comparing it to the libraries listed below
- Open sourced research notebooks by the QuantConnect team.☆592Updated 11 months ago
- A nimble options backtesting library for Python☆1,099Updated 9 months ago
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆887Updated last year
- A complete set of volatility estimators based on Euan Sinclair's Volatility Trading☆1,681Updated 6 months ago
- A framework for quantitative finance In python.☆822Updated last year
- Quantitative finance research tools in Python☆420Updated 2 years ago
- This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in …☆941Updated last year
- python tools for Finance with the functionality of indicator calculation, business day calculation and so on.☆801Updated last year
- Sources codes for: Mastering Python for Finance, Second Edition☆418Updated 5 months ago
- Cython QuantLib wrappers☆1,091Updated last week
- Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Voll…☆784Updated last year
- Quantitative Finance and Algorithmic Trading☆347Updated 9 years ago
- Resources for Quantitative Finance☆745Updated 11 months ago
- Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast☆817Updated 3 years ago
- Quantitative Finance tools☆542Updated last year
- Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.☆1,817Updated last month
- ☆496Updated last year
- Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy☆1,163Updated 4 years ago
- Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]☆729Updated 2 years ago
- Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.☆584Updated this week
- Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.☆611Updated 4 years ago
- Backtest and live trading in Python☆588Updated 10 months ago
- Examples of code related to book www.systematictrading.org and blog qoppac.blogspot.com☆422Updated 4 years ago
- An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian,…☆740Updated 4 years ago
- PyTrendFollow - systematic futures trading using trend following☆404Updated 7 years ago
- A Python Pandas implementation of technical analysis indicators☆765Updated 6 years ago
- GPU-accelerated Factors analysis library and Backtester☆686Updated 2 weeks ago
- A fast, extensible, transparent python library for backtesting quantitative strategies.☆367Updated last year
- Basic options pricing in Python☆312Updated 10 years ago
- Common financial risk and performance metrics. Used by zipline and pyfolio.☆1,371Updated 9 months ago