resistance VS machine-learning-for-trading

Compare resistance vs machine-learning-for-trading and see what are their differences.

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resistance machine-learning-for-trading
1 140
575 6,161
- -
8.3 5.8
3 months ago about 1 month ago
Jupyter Notebook Jupyter Notebook
Creative Commons Zero v1.0 Universal -
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 resistance. We have used some of these posts to build our list of alternatives and similar projects.

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


Posts with mentions or reviews of machine-learning-for-trading. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-25.
  • Papers for intro to Statistical Arbitrage
    2 projects | | 25 Mar 2022
    You have to be a little careful with ML if you’re putting it to use, a couple books that give some good practices are and .

What are some alternatives?

When comparing resistance and machine-learning-for-trading you can also consider the following projects:

SDV - Synthetic Data Generation for tabular, relational and time series data.

Mad-Money-Backtesting - Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"

documentation - This repository contains the documentation for the current Quantiacs project. Check it out at:

zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.

cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network

fraud-detection-handbook - Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data

TTM - # TTM Stock squeeze detection based on bollinger + keltner channels. Detects which stocks are out after bollinger is inside keltner channel.

pandas-profiling - Create HTML profiling reports from pandas DataFrame objects

FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to:]


pyfolio - Portfolio and risk analytics in Python