zvt VS MachineLearningStocks

Compare zvt vs MachineLearningStocks and see what are their differences.

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zvt MachineLearningStocks
1 53
2,516 1,476
1.6% -
5.8 0.0
12 days ago 12 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.


Posts with mentions or reviews of zvt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-09.


Posts with mentions or reviews of MachineLearningStocks. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning MachineLearningStocks yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing zvt and MachineLearningStocks you can also consider the following projects:

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

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!

vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

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

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]

Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.

stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting