rpyd
zvt
| rpyd | zvt | |
|---|---|---|
| 1 | 1 | |
| 4 | 3,003 | |
| - | 2.2% | |
| 4.3 | 6.0 | |
| 4 months ago | about 1 month 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.
rpyd
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Rapyd's CLI Tool for Streamlined API Testing
To explore and use this tool, visit the GitHub repository.
zvt
What are some alternatives?
Algo-Trading - This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!
MachineLearningStocks - Using python and scikit-learn to make stock predictions
awesome-systematic-trading - A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
financial-machine-learning - A curated list of practical financial machine learning tools and applications.
awesome-systematic-trading - A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. [Moved to: https://github.com/paperswithbacktest/awesome-systematic-trading]
fwoba - Frequency Weighted OrderBook Analysis
FinanceExamplesPy - Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir). [Moved to: https://github.com/mrtkp9993/QuantitaveFinanceExamplesPy]
streamlit-stock-performance - Analyze financial instruments' past performances with a just few clicks.
analysis-sharing - Sharing quantitative analyses on Crypto Lake data
TAcharts - Apply popular TA tools and charts to candlestick data with NumPy.
Stock-Market-Sentiment-Analysis - Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka
wtpy - wtpy是基于wondertrader为底层的针对python的子框架