Nse Trading Toolkit

{
  "skill_name": "nse-trading-toolkit",
  "evals": [
    {
      "id": 1,
      "prompt": "Analyze BBTC. I hold 1128 shares at avg Rs.1898. What should I do?",
      "expected_output": "Full analysis with current technicals, scenarios, and a concrete action plan with position sizing and stop-loss levels",
      "files": []
    },
    {
      "id": 2,
      "prompt": "I want to buy RELIANCE. My account is Rs.5 lakhs. Position size for a swing trade?",
      "expected_output": "Position sizing calculation using fixed fractional method, ATR-based stop, R:R ratio, and entry/exit plan",
      "files": []
    },
    {
      "id": 3,
      "prompt": "Check RSI divergence on TATAMOTORS daily chart. Any setup?",
      "expected_output": "RSI divergence analysis with multi-timeframe context, entry trigger, stop-loss, and Fibonacci targets",
      "files": []
    }
  ]
}


---
name: nse-trading-toolkit
description: |
  Master orchestrator for Indian NSE/BSE equity trading analysis via Groww broker.
  Routes to specialized framework skills: technical analysis, position sizing, stop-loss,
  trailing stops, risk-reward, multi-timeframe, RSI divergence, and Fibonacci trading.

  Use this skill whenever the user asks to: analyze a stock, check a position, decide buy/sell/hold,
  plan entries/exits, or do any comprehensive trading analysis for Indian equities. Triggers on:
  "analyze [stock]", "should I buy/sell [stock]", "check [stock]", "what's the setup on [stock]",
  or any broad market analysis request involving NSE/BSE stocks. This is the go-to skill for
  full stock analysis — it pulls together all the individual framework skills into one workflow.
---

# NSE Trading Toolkit — Orchestrator

This is the master workflow that coordinates 8 specialized trading framework skills for Indian NSE/BSE equities.

## Prerequisites

All skills work standalone with zero dependencies — they're prompt-based frameworks that Claude applies during analysis. Connecting data sources makes them more powerful:

| Data Source | Required? | What It Adds | Setup |
|------------|-----------|-------------|-------|
| **Groww MCP** | Optional | Live quotes, portfolio, technical indicators, candle data, order placement | Add to `.mcp.json` (see README) |
| **yfinance** | Optional | Historical OHLCV (>6 months), backtesting | `pip install yfinance` |
| **TradingView MCP** | Optional | Crypto screening, volume scanners | See [tradingview-mcp](https://github.com/pab-s/tradingview-mcp) |

**Without any data source:** You provide prices manually, Claude applies the frameworks.
**With Groww MCP:** Claude pulls live data automatically. Use `search_stock_and_others_symbol` first to resolve the trading symbol.

### Groww MCP Tool Reference

| Tool | Use For |
|------|---------|
| `search_stock_and_others_symbol` | Find correct trading symbol |
| `get_quotes_and_depth` | Live price, volume, bid/ask depth |
| `get_historical_technical_indicators` | RSI, MACD, SMA, EMA, Bollinger, ADX, ATR |
| `fetch_historical_candle_data` | OHLCV candles (1m to 1w intervals) |
| `get_equity_portfolio_holdings` | Your current holdings and P&L |
| `get_ltp` | Quick last traded price |

### yfinance Quick Reference
```python
import yfinance as yf
data = yf.download("RELIANCE.NS", period="2y", interval="1d")  # NSE: .NS, BSE: .BO
```

## Master Workflow

Follow this sequence for a full analysis. Skip steps not relevant to the user's question.

```
1. CONTEXT    → What does the user hold? What's their goal?
2. DATA       → Pull live quotes + historical candles + indicators
3. STRUCTURE  → Multi-timeframe analysis (→ use multi-timeframe-analysis skill)
4. TECHNICALS → Chart reading, indicators (→ use technical-analysis skill)
                 RSI divergences (→ use rsi-divergence skill)
                 Fibonacci levels (→ use fibonacci-trading skill)
5. DECISION   → Buy / Sell / Hold with specific triggers
6. SIZING     → How many shares, at what risk (→ use position-sizing skill)
7. STOPS      →