Stars
Update, Upsert, and Merge from Python dataframes to SQL Server and Azure SQL database.
Apprise - Push Notifications that work with just about every platform!
Pairs trading backtesting enviroment built with Python.
[UNMAINTAINED] A Python script to obfuscate and protect your code through anti debuggers, junk code and custom encryption.
ISDA day-count conventions with year-fractions and daycounts
Python scripts to analyze WoT Blitz replays and stats
Jobs scheduler for managing background task (asyncio)
Asyncio cache manager for redis, memcached and memory
An efficient implementation of a rate limiter for asyncio.
A very light matching engine in Python.
low code backtesting library utilizing pandas and technical analysis indicators
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Quantitative analysis, strategies and backtests
We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
An up-to-date and explanatory Python project skeleton with continuous integration services.
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
Example Order Book Imbalance Algorithm
Calendars for various securities exchanges.
enhanced python wrapper for the bloomberg API based on pdblp
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Exchange calendars to use with pandas for trading applications
Current and Historical Lists of S&P 500 components since 1996