Stock-Market-Sentiment-Analysis
financial-machine-learning
Stock-Market-Sentiment-Analysis | financial-machine-learning | |
---|---|---|
1 | 111 | |
90 | 5,540 | |
- | - | |
10.0 | 9.4 | |
over 3 years ago | 6 days ago | |
R | Python | |
GNU General Public License v3.0 only | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stock-Market-Sentiment-Analysis
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
What are some alternatives?
zvt - modular quant framework.
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.
FinanceToolkit - Transparent and Efficient Financial Analysis
fooltrader - quant framework for stock
zipline - Zipline, a Pythonic Algorithmic Trading Library
awesome-algorithmic-trading - A curated list of awesome algorithmic trading frameworks, libraries, software and resources
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
Finance - Study resources for quantitative finance
OpenBBTerminal - Investment Research for Everyone, Everywhere.
vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
deep-finance - Datasets, papers and books on AI & Finance.