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In this repo, we use Gradient Boosted Trees for directional forecasting of the next minutely candlestick. It uses 60+ Technical indicators and using feature engineering standardizes the indicators to attain optimal parameters. The data used can be accessed and downloaded on the Binance historical data site which will be linked on the READ.ME file.

License: Apache License 2.0

Python 100.00%

gbm-trees-for-crypto-forecasting's Introduction

Greetings ๐Ÿ‘‹ I'm Viswa ๐Ÿค 

A endlessly curious CS student at UTD exploring AI/ML, Quantitative Finance, Blockchain, and Software Development

vk1815918

  • ๐ŸŒฑ Iโ€™m currently learning Rust, Solidity, Tensorflow, Advanced Stats & Probability

  • ๐Ÿ“ I regularly write articles on https://medium.com/@viswaretaskotra

  • ๐Ÿ’ฌ Ask me about Quantitative Trading, AI/ML, Blockchain Technology, and Mobile & Web Development

  • ๐Ÿ“ซ How to reach me [email protected]

  • ๐ŸŽน Fun fact I can play Turkish March, Sonata Pathetique 1st Movement, Scheherazade, and so many more piano pieces!

Connect with me:

viswa-kotra

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