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crypto_radar_brain
DaProgammer/crypto_radar_brain
crypto_radar_brain is a tabular classification model from DaProgammer. Use it for the tabular classification task on the model card, and read the license before you ship it in a product. It is set up for sklearn. The card lists the license as mit.
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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Public
Updated Aug 25, 2026
Repo size
8.4 MB
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0
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Repo makeup
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.pkl8.4 MB · 100%
At a glance
- Task
- Tabular Classification
- Library
- sklearn
- License
- mit
- Access
- Public
- Created
- Aug 25, 2026
- Updated
- Aug 25, 2026
- SHA
- afafc00e
Model card
From the Hugging Face model README
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_smasentiment_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.
- Task
- Tabular Classification
- Library
- sklearn
- License
- mit
- Languages
- en
- Created
- Aug 25, 2026
- Updated
- Aug 25, 2026