financial-machine-learning
FinanceToolkit
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| financial-machine-learning | FinanceToolkit | |
|---|---|---|
| 111 | 63 | |
| 5,533 | 2,364 | |
| - | - | |
| 9.4 | 9.7 | |
| 3 days ago | 1 day ago | |
| Python | Python | |
| - | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
financial-machine-learning
- financial-machine-learning: NEW Other Models - star count:5115.0
- financial-machine-learning: NEW Other Models - star count:4862.0
- financial-machine-learning: NEW Other Models - star count:4654.0
- financial-machine-learning: NEW Other Models - star count:3893.0
- financial-machine-learning: NEW Other Models - star count:3639.0
FinanceToolkit
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Work with First, Second and Third Order Greeks Through the Finance Toolkit
Over the last year I've spend a significant amount of time creating a Finance Toolkit in Python, it currently features over 150+ different metrics such as financial ratios, models, risk and performance metrics, technical indicators, macro-economic parameters and since today also all Greeks.
The Finance Toolkit is written in Python and is meant as a free solution to acquire a large range of financial metrics. My goal is to make financial calculations accessible to everyone as there is no point in reinventing the wheel over and over again which I've seen countless of times happen given that I work in the Financial Sector myself.
If you are interested give it a go: https://github.com/JerBouma/FinanceToolkit and find the recent release notes here that talk about the Greeks: https://github.com/JerBouma/FinanceToolkit/releases/tag/v.1....
- Get Financial Data of 345 Companies Within 40 Seconds with the FinanceToolkit
- Factor Investing now available within the Finance Toolkit for FREE
- Making Financial Calculations Transparent and Efficient with the Finance Toolkit
- FundamentalAnalysis: NEW Data - star count:1341.0
What are some alternatives?
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.
FinanceDatabase - This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
zvt - modular quant framework.
AlgorithmicTrading - This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
zipline - Zipline, a Pythonic Algorithmic Trading Library
fundamental-analysis - Screen stocks on fundamentals and estimate their intrinsic value
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
langchain-stock-screener - LangChain agent usable tool to screen stock data
Finance - Study resources for quantitative finance
FundamentalAnalysis - Transparent and Efficient Financial Analysis [Moved to: https://github.com/JerBouma/FinanceToolkit]
OpenBBTerminal - Investment Research for Everyone, Everywhere.
secref-data - Security Reference Data project