---
license: mit
language:
- en
metrics:
- accuracy
pipeline_tag: tabular-classification
library_name: sklearn
tags:
- scikit-learn
- finance
- cryptocurrency
- sentiment-analysis
---

## 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.