louisoutin/rat_crypto_trader

Relation-Aware Transformer for Portfolio Policy Learning using Binance provider

30
/ 100
Emerging

This tool helps quantitative traders and financial researchers develop and test dynamic cryptocurrency trading strategies. It takes historical market data for selected crypto assets from Binance and outputs a portfolio policy, showing how to allocate capital over time. The primary users are those building and evaluating automated trading systems.

No commits in the last 6 months.

Use this if you want to train and backtest an AI-driven model to manage a cryptocurrency portfolio based on historical market data.

Not ideal if you're looking for a simple 'buy/sell' signal generator or don't have experience working with AI models for financial applications.

cryptocurrency-trading portfolio-management algorithmic-trading quantitative-finance backtesting
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 16 / 25

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Stars

24

Forks

6

Language

Python

License

Last pushed

Apr 06, 2021

Commits (30d)

0

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