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stock-sentiment-daily-v1
jacobre20/stock-sentiment-daily-v1
stock-sentiment-daily-v1 is a tabular classification model from jacobre20. 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 skops. The card lists the license as apache-2.0.
Predicts whether next-day close-to-close return is positive (1) or not (0) using daily OHLCV-derived features (returns/volatility, RSI(14), MACD, Bollinger %B, SMA ratios) plus SPY daily return.
Access
Public
Updated Oct 7, 2025
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At a glance
- Task
- Tabular Classification
- Library
- skops
- License
- apache-2.0
- Access
- Public
- Created
- Sep 30, 2025
- Updated
- Oct 7, 2025
- SHA
- b82645a8
Model card
From the Hugging Face model README
Stock Daily Sentiment (Up/Down)
Predicts whether next-day close-to-close return is positive (1) or not (0) using daily OHLCV-derived features (returns/volatility, RSI(14), MACD, Bollinger %B, SMA ratios) plus SPY daily return.
Holdout metrics:
- ACC ≈ 0.52
- AUC ≈ 0.523
- F1 ≈ 0.68
Usage (programmatic)
from huggingface_hub import hf_hub_download
import skops.io as sio
arts = sio.load(hf_hub_download(
repo_id="jacobre20/stock-sentiment-daily-v1",
filename="model.skops"
))
model = arts["model"]
feature_cols = arts["feature_cols"]
# X must be a DataFrame with the same feature columns in 'feature_cols'
# proba = model.predict_proba(X[feature_cols].values)[:, 1]
# pred = (proba >= 0.5).astype(int)
- Task
- Tabular Classification
- Library
- skops
- License
- apache-2.0
- Created
- Sep 30, 2025
- Updated
- Oct 7, 2025