AION-Sentiment-IN-v3
AION-Sentiment-IN-v3 is an open-source Indian financial news sentiment model with taxonomy-driven market logic and sector-aware signal integration.
What's New (April 2026)
- Full Market Intelligence Layer - Now includes 4-factor event impact engine
- Dynamic Sector Sensitivities - 90-day rolling correlations for 14 NIFTY sectors
- Instrument Classifier - Supports equities, derivatives, commodities, bonds
- Event Impact Rankings - For RBI policy, crude spikes, rupee moves, and VIX shocks
Quick Start
from aion_taxonomy.event_impact_engine import rank_instruments_by_impact
instruments = [
{"tradingsymbol": "RELIANCE", "segment": "EQ", "exchange": "NSE"},
{"tradingsymbol": "HDFCBANK", "segment": "EQ", "exchange": "NSE"},
]
ranked = rank_instruments_by_impact("RBI_RATE_HIKE", instruments)
print(ranked)
Model Details
| Field |
Value |
| Developer |
AION Analytics |
| Architecture |
6-layer transformer encoder, 768 hidden, 12 attention heads |
| Parameters |
~67M |
| Model Size |
268 MB |
| License |
Apache License 2.0 |
AION Platform Components
| Component |
Purpose |
| Sentiment Model |
Headline sentiment classification (this model) |
| Taxonomy Engine |
Event detection (136 India-specific events) |
| Market Intelligence |
4-factor event impact engine (NEW) |
| Sector Map |
NSE ticker to sector mapping |
| VIX Weighting |
Confidence adjustment based on India VIX |
Benchmark
| Model |
Accuracy |
F1 Score |
| AION-Sentiment-IN-v3 |
86.67% |
0.865 |
| FinBERT (ProsusAI) |
86.67% |
0.865 |
| RoBERTa (cardiffnlp) |
73.33% |
0.725 |
Citation
@software{aion_sentiment_in_v3,
author = {AION Analytics},
title = {AION-Sentiment-IN-v3: Indian Financial News Sentiment Model},
year = {2026},
url = {https://github.com/AION-Analytics/aion-sentiment}
}