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Nse Trading Toolkit

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Bhala-Srinivash
nse-trading-toolkit

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.

Overview

PublisherBhala-Srinivash
Repositorynse-trading-skills
Skill namense-trading-toolkit
Stars
59
Forks
25
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Bhala-Srinivash on GitHub. Read the source before you install it.

Installation

Install the Nse Trading Toolkit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Bhala-Srinivash/nse-trading-skills/tree/master/nse-trading-toolkit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Bhala-Srinivash/nse-trading-skills.git /tmp/nse-trading-skills
mkdir -p .claude/skills
cp -r /tmp/nse-trading-skills/nse-trading-toolkit .claude/skills/nse-trading-toolkit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nse Trading Toolkit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nse Trading Toolkit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nse Trading Toolkit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 SourceRequired?What It AddsSetup
Groww MCPOptionalLive quotes, portfolio, technical indicators, candle data, order placementAdd to .mcp.json (see README)
yfinanceOptionalHistorical OHLCV (>6 months), backtestingpip install yfinance
TradingView MCPOptionalCrypto screening, volume scannersSee 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

ToolUse For
search_stock_and_others_symbolFind correct trading symbol
get_quotes_and_depthLive price, volume, bid/ask depth
get_historical_technical_indicatorsRSI, MACD, SMA, EMA, Bollinger, ADX, ATR
fetch_historical_candle_dataOHLCV candles (1m to 1w intervals)
get_equity_portfolio_holdingsYour current holdings and P&L
get_ltpQuick 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      → Initial stop-loss (→ use stop-loss-strategies skill)
                 Trailing plan (→ use trailing-stops skill)
8. TARGETS    → R:R ratio check (→ use risk-reward-ratio skill)
                 Fibonacci extensions (→ use fibonacci-trading skill)
9. PLAN       → Concrete action plan with prices and triggers

When to Use Which Skill

User's QuestionPrimary SkillSupporting Skills
"Analyze BBTC"This orchestratorAll 8 as needed
"Position size for RELIANCE"position-sizingstop-loss-strategies, risk-reward-ratio
"Where to set stop-loss?"stop-loss-strategiestechnical-analysis (for S/R levels)
"RSI divergence on TATAMOTORS?"rsi-divergencetechnical-analysis, fibonacci-trading
"Fib levels for INFY"fibonacci-tradingtechnical-analysis
"Should I trail my stop?"trailing-stops—
"Is this trade worth taking?"risk-reward-ratioposition-sizing
"Weekly vs daily trend?"multi-timeframe-analysistechnical-analysis

Output Format

When presenting a full analysis, use this structure:

markdown
# [STOCK] Analysis — [Date]

## Quick Take
[1-2 sentence summary: bullish/bearish/neutral + key level to watch]

## Position (if held)
[Current holdings, avg price, P&L]

## Technical Setup
[Trend, key levels, indicator readings]

## Scenarios
[Bullish / Bearish / Sideways with probabilities]

## Action Plan
| Action | Trigger | Price | Size | Stop | Target | R:R |
|--------|---------|-------|------|------|--------|-----|

## Risk Summary
- Max risk: Rs.XXX (X% of capital)
- Stop-loss: Rs.XXX
- Trailing plan: [method]

Indian Market Notes

  • NSE trading hours: 9:15 AM - 3:30 PM IST
  • Pre-open session: 9:00 - 9:15 AM
  • T+1 settlement
  • Circuit limits: 5%, 10%, 20% (varies by stock)
  • STT, brokerage, GST affect actual P&L — factor ~0.1% for delivery trades
  • Use BSE symbol if NSE not available

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nse Trading Toolkit AI skill do?

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/BS...

Why use Nse Trading Toolkit on TypingMind?

Because you install it once and use it with any model. Nse Trading Toolkit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nse Trading Toolkit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Bhala-Srinivash/nse-trading-skills/tree/master/nse-trading-toolkit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nse Trading Toolkit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nse Trading Toolkit?

As many as you like. As long as a model supports skills, you can use Nse Trading Toolkit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nse Trading Toolkit AI skill free?

Yes. It is published on GitHub by Bhala-Srinivash under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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