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license: mit
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license: mit
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language:
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- en
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metrics:
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- accuracy
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pipeline_tag: tabular-classification
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library_name: sklearn
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tags:
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- scikit-learn
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- finance
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- cryptocurrency
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- sentiment-analysis
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---
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## Model Description
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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.
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* **Model Type:** Scikit-Learn Classifier
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* **Primary Use Case:** Predicting directional market momentum based on technical and sentiment data.
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## Input Features
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The model evaluates a 10-dimensional feature vector:
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* `volume`, `dxy_index`, `price_change_pct`, `rsi`, `volatility`, `dist_from_sma`
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* `sentiment_coin`, `sentiment_trend_coin`, `sentiment_btc`, `sentiment_trend_btc`
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## Limitations
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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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