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indian-stock-market-analyzer
tiiip/indian-stock-market-analyzer
indian-stock-market-analyzer is a tabular classification model from tiiip. Use it for the tabular classification task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Multi-task Transformer for Indian stock market analysis and real-time investment decisions.
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7.1 MB
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.pt7.1 MB · 100%
At a glance
- Task
- Tabular Classification
- License
- mit
- Access
- Public
- Created
- Apr 24, 2026
- Updated
- Apr 24, 2026
- SHA
- c77d4bcd
Model card
From the Hugging Face model README
🇮🇳 Indian Stock Market Analyzer
Multi-task Transformer for Indian stock market analysis and real-time investment decisions.
Architecture
- Transformer encoder (4 layers, 8 heads, d=128) with causal attention
- Wavelet-denoised OHLCV + 14 technical indicators (RSI, MACD, Bollinger, ATR, etc.)
- Multi-task: direction (BUY/HOLD/SELL) + 5-day return + confidence calibration
- Based on: TIPS, MASTER, xLSTM-TS research papers
Performance
| Metric | Value |
|---|---|
| Direction Accuracy | 41.98% |
| F1 Score (macro) | 41.62% |
| Return IC | 0.3582 |
| Strategy Sharpe | 2.193 |
| Annualized Return | 114.48% |
Stocks: Top 50 NSE stocks
IDEA, TATASTEEL, YESBANK, ETERNAL, PCJEWELLER, ADANIPOWER, PRIVISCL, EASEMYTRIP, SUZLON, IRFC, RELIANCE, NMDC, IREDA, ASHOKLEY, IDFCFIRSTB...
Usage
import torch, json
config = json.load(open('config.json'))
# Load StockTransformerAnalyzer model
model.load_state_dict(torch.load('model.pt'))
# Input: (batch, 30 days, 14 features) → Output: BUY/HOLD/SELL + return + confidence
⚠️ Disclaimer
For research/education only. NOT financial advice. Consult a financial advisor.
- Task
- Tabular Classification
- License
- mit
- Created
- Apr 24, 2026
- Updated
- Apr 24, 2026