market-monitor
Beibo
market-monitor | Beibo | |
---|---|---|
1 | 1 | |
2 | 77 | |
- | - | |
0.0 | 0.0 | |
almost 2 years ago | over 2 years ago | |
Python | Python | |
MIT License | MIT License |
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.
market-monitor
Beibo
-
The Oracle, an open-source Python library to predict the stock market with AI 🤖
What's with the Chinese text in the "About" section at https://github.com/ssantoshp/Beibo ?
What are some alternatives?
OpenBBTerminal - Investment Research for Everyone, Everywhere.
goplan-app - An intuitive portfolio mangaer !
stocksight - Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
surpriver - Find big moving stocks before they move using machine learning and anomaly detection
The-Oracle - 🤖 Predict the stock market with AI 用AI预测股票市场 [Moved to: https://github.com/ssantoshp/Beibo]
mstables - MorningStar.com scraper that consolidates tens of thousands of financial records into a SQLite relational database. Class 'dataframes' easily converts the SQLite data into pandas DataFrames (see Jupyter notebook for examples)
pybroker - Algorithmic Trading in Python with Machine Learning
Empyrial - AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理
Statmetrics-Android - Mobile App Solution for Portfolio Analytics and Investment Management
Stock-Prediction-Neural-Network-and-Machine-Learning-Examples - Examples of python neural net and ML stock prediction methods with sample stock data.
investbook - Оценка эффективности инвестиций с учетом комиссий, налогов (удержанных и ожидающихся), дивидендов и купонов.