Bhala-Srinivash

Nse Trading Skills — Development skill for Claude Code

Development community

9 Claude Code skills for Indian stock trading — technical analysis, position sizing, stop-loss, trailing stops, risk-reward, multi-timeframe, RSI divergence, Fibonacci.

How to install Nse Trading Skills

This entry records only its repository, not the path inside it, so there is no exact command to give. Open Bhala-Srinivash/nse-trading-skills and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Nse Trading Skills does

9 Claude Code skills for Indian stock trading — technical analysis, position sizing, stop-loss, trailing stops, risk-reward, multi-timeframe, RSI divergence, Fibonacci. Works with NSE/BSE via Groww MCP. Zero dependencies.

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README

Indian Stock Trading Skills for Claude Code

9 AI-powered trading analysis skills for NSE/BSE Indian equity markets. Technical analysis, position sizing, risk management, Fibonacci, RSI divergence, and more — all inside your terminal.

**Zero dependencies.** Works standalone — just install the skills and ask Claude to analyze any stock. Optionally connect [Groww MCP](https://mcp.groww.in) for live market data or [yfinance](https://pypi.org/project/yfinance/) for historical analysis.

What Are These?

[Claude Code Skills](https://docs.anthropic.com/en/docs/claude-code/skills) are prompt-based frameworks that teach Claude how to perform specialized tasks. These skills turn Claude into a trading analyst that can:

  • Analyze any NSE/BSE stock with technical indicators
  • Calculate position sizes based on your risk tolerance
  • Set intelligent stop-losses and trailing stops
  • Identify RSI divergences and Fibonacci levels
  • Score trade setups using multi-timeframe confluence
  • Filter trades by risk-reward ratio

Skills Included

# Skill What It Does
1 nse-trading-toolkit Master orchestrator — coordinates all frameworks for full stock analysis
2 technical-analysis Chart reading, trend ID, S/R levels, volume analysis, indicator dashboard, probabilistic scenarios
3 position-sizing Fixed fractional, ATR-based, Kelly criterion sizing with leverage adjustments
4 stop-loss-strategies Structure, ATR, S/R, and MA-based stop placement with buffer rules
5 trailing-stops ATR trail, structure trail, MA trail, chandelier exit, hybrid approach
6 risk-reward-ratio R:R calculation, minimum R:R by win rate, trade filtering, expected value
7 multi-timeframe-analysis 3-screen method (weekly/daily/hourly), confluence scoring system
8 rsi-divergence Regular + hidden divergence detection, confirmation rules, entry strategies
9 fibonacci-trading Re