Model Description

This is a supervised machine learning model trained to forecast short-term cryptocurrency trend bias (Bullish, Bearish, or Neutral). It is the core prediction engine for the CryptoRadar full-stack platform.

Model Type: Scikit-Learn Classifier
Primary Use Case: Predicting directional market momentum based on technical and sentiment data.

Input Features

The model evaluates a 10-dimensional feature vector:

volume, dxy_index, price_change_pct, rsi, volatility, dist_from_sma
sentiment_coin, sentiment_trend_coin, sentiment_btc, sentiment_trend_btc

Limitations

This model is for educational and portfolio purposes only. Cryptocurrency markets are highly volatile, and this model should not be used for actual financial trading.

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