Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-aion-analytics-aion-news-to-signal": {
"args": [
"aion-news-to-signal"
],
"command": "uvx"
}
}
}Are you the author?
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Indian financial headlines to sector trading signals and long/short ideas.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'aion-news-to-signal' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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Checked aion-news-to-signal against OSV.dev.
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Structured event intelligence for Indian financial markets.
Formerly aion-news-to-signal.
AION India Event Intelligence is a developer API that converts raw Indian financial headlines into structured, auditable event intelligence. It answers: what happened, which sectors are affected, how stakeholders are impacted, and which macro factors are in play. It does not tell you what to trade. It provides the evidence layer you use to make your own decisions.
pip install aion-news-to-signal
export AION_API_KEY="<your_api_key>"
from aion_news_to_signal import analyze
Legacy compatibility alias:
from aion import analyze
This alias remains supported and routes through the managed AION API.
Production usage flows through the managed AION API:
POST https://api.aiondashboard.site/v1/analyzeX-API-Key: <key>import requests
headers = {"X-API-Key": "YOUR_API_KEY"}
resp = requests.post(
"https://api.aiondashboard.site/v1/analyze",
headers=headers,
json={"headline": "RBI hikes repo rate by 25 bps"},
timeout=30,
)
resp.raise_for_status()
print(resp.json()["sector_vector"])
Observed top-level output keys:
{
"headline": "string",
"event": "string|null",
"confidence": "float",
"vix_regime": "string",
"sector_vector": {},
"top_positive_sectors": {},
"top_negative_sectors": {},
"sector_directional_bias": {
"positive_bias": [],
"negative_bias": []
},
"stakeholder_views": {},
"raw_assignment": {
"resolved_event_id": "string|null",
"cause_effect_rule_id": "string|null",
"weather_triggered": "bool"
}
}
Canonical key note:
sector_vector is the full scored sector impact mapsector_impacts key in the public output contractHeadline:
Unseasonal rainfall and hailstorm hit apple orchards in Himachal Pradesh in April
Typical sentiment output:
AION India Event Intelligence output:
rain_apple_damageAgriculture & Horticulture, Transportation, Consumer ServicesMarket implication: agriculture-linked exposure under pressure, logistics bottlenecks possible, substitute supply chains may benefit.
Most open-source financial sentiment tools, including FinBERT variants, stop at polarity scoring.
| Capability | AION India Event Intelligence | FinBERT |
|---|---|---|
| Indian market event logic | Yes | No |
| Sector-level output | Yes, 32 sectors | No |
| Trade direction signals | Yes | No |
| Weather/crop propagation | Yes | No |
| Stakeholder decomposition | Yes | No |
| VIX-adjusted output | Yes | No |
| “Which sectors to long/short from news” workflow | Yes | No |
FinBERT tells you whether a headline feels positive or negative.
AION India Event Intelligence tells you:
All tiers require an API key. Sign