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Machine-learning-for-trading Alternatives
Similar projects and alternatives to machine-learning-for-trading
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ydata-synthetic
Synthetic data generators for tabular and time-series data
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Jackrabbit Relay is an API endpoint for cryptocurrency/forex exchanges.
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Mad-Money-Backtesting
Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"
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zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
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documentation
This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/ (by quantiacs)
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cryptocurrency-price-prediction
Discontinued Cryptocurrency Price Prediction Using LSTM neural network
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InfluxDB
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TTM
# TTM Stock squeeze detection based on bollinger + keltner channels. Detects which stocks are out after bollinger is inside keltner channel.
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gretel-synthetics
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fraud-detection-handbook
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SynthDet
SynthDet - An end-to-end object detection pipeline using synthetic data
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ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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pyRMT
Python library for Random Matrix Theory, cleaning schemes for correlation matrices, and portfolio optimization
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machine-learning-for-trading reviews and mentions
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Libraries for synthetic data?
Wondering if anyone has a favorite python library for generating synthetic price data? Ideally I'm looking for something that allows me to generate specific conditions like "bearish" "bullish" "choppy" "volatile" and so on, maybe even throw in some spikes to represent FED events, so my algo can experience a larger amount of out-of-dataset conditions. From what I've found so far, it seems like TimeGAN might be a good option.
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As someone who has zero knowledge in coding, and algo trading—but has more than 7 years of experience in manually trading, where should I start?
I would highly recommend the book Machine Learning for Algorithmic Trading: https://github.com/stefan-jansen/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 .
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The primary programming language of machine-learning-for-trading is Jupyter Notebook.
Popular Comparisons
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