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 ๐ I'm Viswa ๐ค
A endlessly curious CS student at UTD exploring AI/ML, Quantitative Finance, Blockchain, and Software Development
๐ฑ Iโm currently learning Rust, Solidity, Tensorflow, Advanced Stats & Probability