akash-kumar5/Live-Market-Regime-Classifier
A real-time pipeline that uses a multi-timeframe LSTM model to classify BTCUSDT market behavior (Trend, Range, Volatility Spike) with live, minute-by-minute predictions.
This project helps cryptocurrency traders and algorithmic strategy developers understand the current state of the Bitcoin (BTCUSDT) market in real-time. It takes live price data from Binance and outputs minute-by-minute predictions categorizing market behavior into states like 'Strong Trend', 'Range', or 'Volatility Spike'. Traders can use these signals to inform their buying and selling decisions or automate their trading strategies.
No commits in the last 6 months.
Use this if you need continuous, automated insights into BTCUSDT market conditions to guide your trading strategies or risk management.
Not ideal if you are looking to classify market regimes for assets other than BTCUSDT or if you need a fully integrated trading bot that executes trades.
Stars
15
Forks
4
Language
Python
License
—
Category
Last pushed
Sep 02, 2025
Commits (30d)
0
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