Metadata-Version: 2.4
Name: aion-indian-market-intelligence
Version: 1.0.5
Summary: Macro-event and sector impact intelligence for Indian financial markets. Structured analysis of how policy, economic, weather, and geopolitical events affect Indian market sectors.
Author: AION Analytics
License: AGPL-3.0-or-later
Project-URL: Homepage, https://github.com/AION-Analytics/aion-indian-market-intelligence
Project-URL: Documentation, https://dashboard.aiondashboard.site/models/indian-market-intelligence
Project-URL: Issues, https://github.com/AION-Analytics/aion-indian-market-intelligence/issues
Keywords: india,nse,indian-market-intelligence,macro-event-analysis,sector-impact-analysis,policy-impact-analysis,event-driven-market-intelligence,event-driven-finance,economic-propagation-analysis,sector-effect-modeling,financial-event-analysis,market-intelligence,mcp-server
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Office/Business :: Financial
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: requests>=2.31
Requires-Dist: mcp>=1.27

# PyPI Long Description

aion-indian-market-intelligence is an Indian market intelligence package that converts Indian financial news headlines into structured sector impact vectors. It performs macro event analysis across 95 event types — monetary policy, fiscal action, SEBI regulation, commodity shocks, and corporate catalysts — and propagates each event across 32 NSE sectors using input-output dependency weighting, with a VIX overlay that scales output to the current volatility regime.

Every call returns structured signals as JSON, organised around the canonical `sector_vector` key, ready to feed premarket prediction models, algorithmic strategies, and portfolio risk systems for Indian markets.

The package ships an MCP server, so Claude and other MCP clients can turn Indian financial news into NSE sector impact vectors directly. Install with `pip install aion-indian-market-intelligence`, then call `analyze()` or run the bundled MCP server.

Built for the NSE and BSE by AION Analytics.
