resistance
machine-learning-for-trading
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| resistance | machine-learning-for-trading | |
|---|---|---|
| 1 | 140 | |
| 577 | 6,161 | |
| - | - | |
| 8.3 | 5.8 | |
| 3 months ago | about 1 month ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Creative Commons Zero v1.0 Universal | - |
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resistance
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Tracking mentions began in Dec 2020.
machine-learning-for-trading
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Papers for intro to Statistical Arbitrage
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 https://ml4trading.io/ and https://www.wiley.com/en-gb/Advances+in+Financial+Machine+Learning-p-9781119482086 .
What are some alternatives?
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: https://quantiacs.com/documentation/en/
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: https://github.com/AI4Finance-Foundation/FinRL]
DataScienceProjects
pyfolio - Portfolio and risk analytics in Python