Stars
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
A trading bot utilized on the TD Ameritrade platform written in python and utilizing tda-api API.
🏆 A ranked gallery of awesome streamlit apps built by the community
Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeling, stock screening, portfolio optimization, and broker API.
Quantitative analysis, strategies and backtests
Launch into the realm of algorithmic trading with this beginner's guide. Explore the intricacies of the Indian Stock Market through practical examples and hands-on experience. This guide is tailore…
The Unofficial Python Wrapper for NSEIndia API
Realtime Data From National Stock Exchange (India)
National Stock Exchange (NSE), India based Stock screener program. Supports Live Data, Swing / Momentum Trading, Intraday Trading, Connect to online brokers as Zerodha Kite, Risk Management, Emotio…
Download live and historical data for Indian stock market
List of Computer Science courses with video lectures.
Simple to use interfaces for basic technical analysis of stocks.
A Python-based stock screener to find stocks with potential breakout probability from NSE India.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
A list of online resources for quantitative modeling, trading, portfolio management
An implementation of a small TCP/IP protocol stack for learning.
Repository is a location of user demos for technologies listed on github.com/containers
OpenShift Pipelines Examples based on Tekton
Rust projects here are easy to use. There are blog posts for them also.
❤️ 1000+ Hand-Crafted Go Examples, Exercises, and Quizzes. 🚀 Learn Go by fixing 1000+ tiny programs.
open source training courses about distributed database and distributed systems
A curated list for awesome kubernetes sources 🚢🎉