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awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

demo

demo repository for tutorial purpose

docker

Different tools / packages in containerized environment

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

flyde

⚡️⚡️⚡️ Open-source, visual programming for developers. Includes a VS Code extension, integrates with existing TypeScript code, browser and Node.js.

general

Config files for my GitHub profile.

go-tutorial

I created this Golang tutorial to be the definitive course. I provide in this full course more information than you can get in any book. The table of contents follows below. Both the core language and numerous projects are provided to help you master Go. Also there is only one 5 second ad, so nothing will get in the way of your learning process! Go

jps_stat

Bash script to moniter current_heap_memory , max_heap_till_now , current_ram , max_ram_used , current_cpu_by_jvm details of all java programs running on current linux system

pyportfolioopt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

sqoop

sqoop commands

terraform_mwaa