OpenClaw Skill Server for Indian Market Analysis and Trading

✍️ OpenClawRadar📅 Published: April 14, 2026🔗 Source
OpenClaw Skill Server for Indian Market Analysis and Trading
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OpenClaw Integration for Indian Market Analysis

OpenClawRadar has released an open-source trading terminal for Indian markets wired up as an OpenClaw skill server. Any OpenClaw agent can now pull Indian stock market data and run full analysis over HTTP without local installation.

How It Works

Users can type /analyze RELIANCE in Telegram and receive a full structured analysis with a trade plan in 3-4 minutes. The system uses seven specialist agents working in parallel:

  • Technical (RSI, MACD, EMAs, Bollinger, ATR, pivot levels)
  • Fundamental (PE, ROE, ROCE pulled from Screener.in)
  • Options (Greeks, OI buildup, IV skew)
  • News and Macro (reads current headlines and connects them to the stock)
  • Sentiment (FII/DII flows, market breadth)
  • Sector Rotation
  • Risk Manager

Each agent returns a verdict and confidence score. Scores go into a weighted composite that flags disagreements explicitly rather than averaging into vague calls.

The system then runs a five-round debate: Bull argues, Bear argues, Bull rebuts, Bear rebuts, and a Facilitator summarizes. A Fund Manager agent reads the transcript and writes a final verdict with a trade plan including entry price, stop-loss, targets, and position sizing across three risk profiles (aggressive, neutral, conservative) calibrated to your capital.

The pipeline uses 8 LLM calls in standard mode and 11 in deep mode.

API Access

The same pipeline is available as an OpenClaw skill:

curl -X POST http://localhost:8765/skills/analyze -H "Content-Type: application/json" -d '{"symbol": "RELIANCE"}'

This takes 30 to 90 seconds and returns the scorecard, debate summary, verdict, and all three trade plans.

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OpenClaw Integration Benefits

The skill server publishes a discovery manifest at /.well-known/openclaw.json. Any OpenClaw agent fetches this once, reads the input schemas, and knows what it can call without hardcoding.

This enables agent chaining: one agent can monitor a watchlist and call quote every few minutes, then call analyze when something moves, check macro conditions with another agent, and push a Telegram message with the full picture.

Currently 17 skills are live: quotes, options chain, FII/DII flows, earnings calendar, macro snapshot, bulk and block deals, morning brief, backtesting, pairs analysis, session-aware chat, and price and technical alerts with webhook callbacks.

Current Limitations and Future Plans

Broker support is currently limited to Fyers only, which has a free developer API with real-time WebSocket data. Zerodha, Angel One, Upstox, and Groww are in progress. The broker interface uses a clean abstract class where adding a new broker mostly involves mapping their SDK to the system's data models.

Upcoming features include trading directly from Telegram and OpenClaw agents via a /trade RELIANCE command that shows the trade plan with Confirm/Cancel buttons. OpenClaw agents will be able to call analyze, read the plan, and call execute without buttons.

Future development includes custom strategy creation in plain English: users describe what they want, the system interviews about parameters, writes Python code, backtests on NSE history, and saves the strategy. A wealth management layer will watch entire portfolios rather than individual stocks.

📖 Read the full source: r/openclaw

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