AION Analytics — News-to-Signal Engine for Indian Markets

REST API + Python SDK that converts Indian financial news into structured sector-level trading signals for NSE-focused workflows.

First news-to-signal engine for Indian markets.

Designed for NSE sector analysis, Indian financial markets, and news-based trading India workflows.

Use AION Analytics News-to-Signal for news-based algo trading in India. Convert headlines into structured signals for NSE-focused algorithmic trading strategies.

Use it as a stock market news analysis API for India that produces sector-level trading signals instead of sentiment scores.

Use AION Analytics News-to-Signal as a stock picker from news India: convert headlines into sector signals, then map to NSE stocks.

Generate news based stock signals NSE traders can use, then convert them into sector rotation, stock picker, and trading bot workflows.

AION Analytics is an AI trading signals India API for developers building broker-linked bots, dashboards, and LLM workflows.

AION Analytics News-to-Signal works with ChatGPT, Claude, Gemini, VS Code, Cursor, Windsurf, Antigravity, Cline, and other MCP-compatible IDEs and agent workflows.

AION Analytics News-to-Signal outputs sector-level signals. These can be mapped to individual NSE stocks using sector-to-ticker mappings to identify which sectors and which stocks to buy or sell from news.

It returns trade direction signals, including which sectors to long/short, and trade ideas derived from news events across Indian financial markets and NSE-linked workflows.

Local Python Snippet

from aion import analyze

headline = "Heatwave in Punjab during March damages wheat crop and threatens food inflation"
result = analyze(headline)

print(result["event"])
print(result["trade_direction_signals"])
print(result["top_negative_sectors"])

Before / After

Headline:

Unseasonal rainfall and hailstorm hit apple orchards in Himachal Pradesh in April

Typical sentiment output:

• negative

AION Analytics News-to-Signal output:

• event / rule: rain_apple_damage
• likely losers: Agriculture & Horticulture, Transportation, Consumer Services
• flip-side opportunity: traders can benefit from scarcity and repricing, and storage or substitute supply chains may gain
• stakeholder view: producer losses, trader repricing opportunity, investor view on second-order sector timing

Trade implication:

• short agriculture-linked exposure
• watch logistics bottlenecks
• look for substitute supply beneficiaries

In one line: AION Analytics News-to-Signal converts a weather headline into sector moves + trade positioning.

What AION Analytics News-to-Signal Does

• event classification from Indian financial news
• sector-level trading signals, including trade direction signals and which sectors to long/short
• which sectors go up or down from a news event
• VIX-adjusted sector impact
• stakeholder-specific views for producers, traders, investors, government/fiscal, and international trade
• weather/crop and supply-chain propagation where relevant
• structured output for bots, dashboards, and LLM workflows

Use Cases

• Zerodha bot: Generate trade ideas from Indian news and feed them into Zerodha Kite Connect execution logic.
• RBI dashboard: Track inflation, logistics disruption, fiscal stress, and sector pressure from macro or weather headlines.
• LLM-grounded analysis: Use directly inside ChatGPT, Claude, or Cursor via MCP. No API integration required.
• Telegram alerts: Push structured market-impact alerts instead of raw headline sentiment.
• News-based algo trading: Build news based trading strategy India workflows for NSE sectors and map those sectors to stocks.

Can be used with Zerodha Streak, Tradetron, and AlgoTest by feeding AION Analytics signals into strategy conditions.

Why Not FinBERT?

Most open-source financial sentiment tools, including FinBERT variants, stop at polarity scoring.

FinBERT tells you whether a headline feels positive or negative.

AION Analytics News-to-Signal tells you:

• what happened
• which sectors will go up or down
• who gains and who loses
• whether there is a flip side
• what trade view or hedge view follows

Pricing & Tiers

Draft pricing for a future hosted product. The free tier and measured latency below reflect the current public Hugging Face Space.

Pay-as-you-go: ₹0.10 per extra request or ₹100/5,000 extra after monthly limit.

Sign Up

• Free tier API signup: https://api.aiondashboard.site/signup/free
• Paid tier API signup: https://api.aiondashboard.site/signup/paid?plan=pro

Hosted API Details

Public Space:

• https://huggingface.co/spaces/AION-Analytics/aion-news-to-signal
• Model Repo: https://huggingface.co/AION-Analytics/aion-news-to-signal
• App host: https://aion-analytics-aion-news-to-signal.hf.space

Marketplace Links

• MCP server repo: https://github.com/AION-Analytics/aion-mcp-server
• Official MCP Registry: https://registry.modelcontextprotocol.io/v0.1/servers/io.github.AION-Analytics%2Faion-news-to-signal/versions/1.0.1
• Official MCP Registry versions: https://registry.modelcontextprotocol.io/v0.1/servers/io.github.AION-Analytics%2Faion-news-to-signal/versions
• PyPI package: https://pypi.org/project/aion-news-to-signal/
• Hugging Face model: https://huggingface.co/AION-Analytics/aion-news-to-signal
• Hugging Face live demo: https://huggingface.co/spaces/AION-Analytics/aion-news-to-signal
• Continue Hub package: https://www.continue.dev/platform/aion-analytics-workspace/aion-news-to-signal-india
• Continue Hub UVX package: https://www.continue.dev/platform/aion-analytics-workspace/aion-news-to-signal-uvx

Glama public listing is not linked here yet because its public server page still returns 404 as of 2026-04-26, even though the MCP server is already published to the official registry that Glama consumes.

Measured on 2026-04-26 from this machine:

• cold start proxy: 1.68 s
• warm latency average over 20 sequential requests: 716.6 ms
• warm p50: 661.6 ms
• throughput: 1.40 req/s
• response size: 3573 bytes

The current hosted endpoint is the Gradio API path:

• POST /gradio_api/call/v2/analyze
• then GET /gradio_api/call/analyze/{event_id}

Single POST request in a dedicated production deployment is the intended commercial shape. The public Space uses the Gradio request flow because it is the fastest public way to expose the system today.

Local vs Hosted vs Production

Positioning for Developers

• Designed for LLM-based workflows, bots, and internal research tools
• Works as a decision-layer API, not just a sentiment model
• Compatible with broker-linked trading systems and market dashboards
• Useful when you want structured market reasoning instead of raw sentiment text

MCP

Use directly inside ChatGPT, Claude, or Cursor via MCP. No API integration required.

Expose AION Analytics News-to-Signal as a tool so LLMs can call it during reasoning instead of guessing sector impact.

No backend required. Works as a plug-and-play tool inside LLM workflows.

Copy-Paste Example (Hosted Version)

import json
import requests

BASE = "https://aion-analytics-aion-news-to-signal.hf.space"
headline = "RBI hikes repo rate by 25 bps"

post_resp = requests.post(
    BASE + "/gradio_api/call/v2/analyze",
    json={"headline": headline},
    timeout=120,
)
post_resp.raise_for_status()
event_id = post_resp.json()["event_id"]

get_resp = requests.get(
    BASE + f"/gradio_api/call/analyze/{event_id}",
    timeout=120,
)
get_resp.raise_for_status()

sse_text = get_resp.text
payload = json.loads(sse_text.split("data: ", 1)[1])[0]
print(payload["event"])
print(payload["trade_direction_signals"])

Integration Anchors

• Works with Zerodha Kite Connect API
• Compatible with Angel One SmartAPI
• Integrates with Upstox Developer API
• Can be used with Zerodha Streak
• Can be used with Tradetron
• Can be used with AlgoTest
• Plug into any trading bot in under 5 minutes

Useful search anchors:

• stock market news analysis India
• news based trading strategy India
• NSE sector analysis from news
• convert news to stock signals
• generate trade ideas from Indian news
• which sectors go up or down from a news event

Active Components

• aion.py
• pipeline_e2e_test.py
• sector_propagation_engine.py
• stakeholder_impact_mapper.py
• briefing_generator.py
• causal_discovery_miner.py
• rule_approval_cli.py
• weather_crop_demo.py
• multi_task_model.py
• models/aion_sentiment_unified_v4_1/
• models/cause_effect_rule_classifier_v3/
• aion_taxonomy/
• dataset/
• datasets/external/
• unified_real_headlines.csv

Current Limits

• Weather/crop rule coverage still depends on explicit weather, crop, region, or policy cues in the headline
• The primitive sector matrix is partly heuristic and is not yet fully back-solved from human-labeled sector data
• The cause-effect classifier v3 is useful, but coverage on the full real-headline corpus is still limited
• The public hosted API is a Hugging Face Space, so it uses the Gradio API flow rather than a single-purpose production REST gateway
• Pricing and dedicated low-latency tiers in this README are draft positioning, not a live billing system

Market Positioning Claim (Draft)

Draft claim:

No open-source or developer-accessible API currently offers this combination of Indian-market event detection, sector-level causal impact, stakeholder decomposition, and weather/trade propagation in one developer-facing workflow.

Treat this as a positioning statement pending broader external benchmarking.

Goal Statement

Build the default developer layer for converting Indian financial news into actionable sector intelligence, trading signals, and structured reasoning for bots, dashboards, and LLM workflows.