Offline/self-hosted AION News-to-Signal package for Indian financial news analysis.
Project description
AION News-to-Signal
Local/self-hosted Python package for Indian financial news analysis.
from aion import analyze
result = analyze("RBI hikes repo rate by 25 bps")
print(result["trade_direction_signals"])
Important packaging note
The full model artifacts are larger than standard PyPI per-file limits, so this wheel ships the full local inference code plus bundled taxonomy/data assets and downloads the public weights from Hugging Face on first use.
No hosted API calls are made during analysis. After the first artifact download, inference runs locally from the on-disk cache.
Artifacts are cached under:
- macOS:
~/Library/Caches/aion-news-to-signal - Linux:
~/.cache/aion-news-to-signal
You can override this with:
AION_CACHE_DIR=/path/to/cache
To force cached-only operation after the first download:
AION_LOCAL_FILES_ONLY=1
Public weights:
AION-Analytics/aion-news-to-signaldistilbert-base-uncased
MCP server
This package also includes the AION News-to-Signal MCP server entrypoint.
Run it locally with:
python -m aion_news_to_signal.mcp_server
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