{"repo":"akash-kumar5/Live-Market-Regime-Classifier","free":true,"listed":false,"github":"https://github.com/akash-kumar5/Live-Market-Regime-Classifier","clone":"git clone https://github.com/akash-kumar5/Live-Market-Regime-Classifier.git","description":"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.","language":"Python","stars":19,"topics":["algorithmic-trading","binance-api","bitcoin","deep-learning","keras","lstm","python","tensorflow"],"license":null,"category":"machine-learning","readme_excerpt":"Real-Time Crpto Market Regime Classification with Deep Learning ========================================================= A sophisticated, real-time pipeline that uses a multi-timeframe LSTM model to classify cryptocurrency market behavior (e.g., Trend, Range, Volatility Spike) for BTCUSDT, providing live predictions every minute. About This Project This repository contains the complete code for a live inference pipeline that classifies the current market regime of BTCUSDT. The system fetches live data from Binance, processes it through a feature engineering pipeline that considers multiple timeframes (5m, 15m, 1h), and feeds the result into a trained LSTM (Long Short-Term Memory) neural network. The primary goal is to provide a continuous, real-time signal that can be used to inform algorithmic trading strategies, risk management systems, or market analysis dashboards. For example, a trading algorithm might only take trend-following entries when the model predicts a Strong Trend regime, or tighten stop-losses when a Volatility Spike is predicted. 🔑 Key Features --------------- Real-Time Classification : Runs continuously to provide minute-by-minute predictions of the current market state. Multi-Timeframe Analysis : Enriches the primary 15m data with context from 5m (for immediate momentum) and 1h (for broader trend context) timeframes. Deep Learning Model : Utilizes a Keras/TensorFlow LSTM model, ideal for learning from sequential time-series data. Robust Data Pipeline : Fe","default_branch":null,"files":null,"tree":[],"storefront":"/r/akash-kumar5","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/akash-kumar5/Live-Market-Regime-Classifier/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}