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indian-trading-skills

Name: indian-trading-skills MCP Server
Author: ajeeshworkspace

作者 ajeeshworkspace · ajeeshworkspace/indian-trading-skills

Analysis skills for Indian equity markets — NSE/BSE stock data, F&O derivatives, institutional flows, market breadth. Not a stock picker.

A skill for analyzing Indian equity and derivatives markets. Pulls / structures data on NSE/BSE stocks, F&O open interest, FII/DII flows, and breadth indicators. Aimed at investors and traders doing their own research — explicitly not a prediction or signal service.

▶ 觀看演示 📦 安裝 💡 使用場景

為什麼要用

核心特性

NSE/BSE stock quote and historical workflows
F&O derivatives (open interest, put-call ratio, etc.)
Institutional flow analysis (FII / DII)
Market breadth indicators
Produces analysis artifacts, not buy/sell signals

即時演示

實際使用效果

indian-trading-skill.replay ▶ 就緒

0/0

安裝

選擇你的客戶端

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "indian-trading-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/ajeeshworkspace/indian-trading-skills",
        "~/.claude/skills/indian-trading-skills"
      ],
      "_inferred": true
    }
  }
}

開啟 Claude Desktop → Settings → Developer → Edit Config。儲存後重啟應用。

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "indian-trading-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/ajeeshworkspace/indian-trading-skills",
        "~/.claude/skills/indian-trading-skills"
      ],
      "_inferred": true
    }
  }
}

Cursor 使用與 Claude Desktop 相同的 mcpServers 格式。專案級設定優先於全域。

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "indian-trading-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/ajeeshworkspace/indian-trading-skills",
        "~/.claude/skills/indian-trading-skills"
      ],
      "_inferred": true
    }
  }
}

點擊 Cline 側欄中的 MCP Servers 圖示，然後選 "Edit Configuration"。

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "indian-trading-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/ajeeshworkspace/indian-trading-skills",
        "~/.claude/skills/indian-trading-skills"
      ],
      "_inferred": true
    }
  }
}

格式與 Claude Desktop 相同。重啟 Windsurf 生效。

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "indian-trading-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/ajeeshworkspace/indian-trading-skills",
        "~/.claude/skills/indian-trading-skills"
      ]
    }
  ]
}

Continue 使用伺服器物件陣列，而非映射。

~/.config/zed/settings.json

{
  "context_servers": {
    "indian-trading-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/ajeeshworkspace/indian-trading-skills",
          "~/.claude/skills/indian-trading-skills"
        ]
      }
    }
  }
}

加入 context_servers。Zed 儲存後熱重載。

claude mcp add indian-trading-skill -- git clone https://github.com/ajeeshworkspace/indian-trading-skills ~/.claude/skills/indian-trading-skills

一行命令搞定。用 claude mcp list 驗證，claude mcp remove 移除。

使用場景

實戰用法： indian-trading-skills

Check market breadth for a sector before a decision

👤 Active investors doing their own homework ⏱ ~20 min intermediate

何時使用： You're considering a position and want breadth context, not just price.

前置條件

Skill installed — git clone https://github.com/ajeeshworkspace/indian-trading-skills ~/.claude/skills/indian-trading-skills
Data source access — Skill relies on public NSE/BSE data; some providers rate-limit

步驟

Pull sector constituents

Use indian-trading-skills. Nifty IT sector — list constituents with 1-week return and advance/decline.✓ 已複製

→ Table with breadth stats
Compare to broader index

How does the sector breadth compare to Nifty 50 broader breadth?✓ 已複製

→ Comparative delta

結果： Context for your own decision — nothing more.

注意事項

Treating this output as a signal — It isn't. This is analysis scaffolding, not a recommendation.

搭配使用： filesystem

Inspect F&O open interest buildup on a single stock

👤 Derivatives traders ⏱ ~15 min advanced

何時使用： You're tracking OI changes around an expected event.

步驟

Pull the OI chain

Use indian-trading-skills. RELIANCE — current F&O option chain with today's OI change per strike.✓ 已複製

→ Strike-by-strike OI delta
Identify concentration

Where's the heaviest buildup? Call or put side?✓ 已複製

→ Concentration analysis

結果： Numeric context you can combine with your own read.

注意事項

Misreading OI buildup as directional signal — OI changes are ambiguous — writers vs buyers can produce the same number

組合

與其他 MCP 搭配，撬動十倍槓桿

indian-trading-skill + filesystem

Save daily snapshots for your own longitudinal analysis

Snapshot FII/DII + Nifty breadth each trading day into data/daily/.✓ 已複製

工具

此 MCP 暴露的能力

工具	輸入參數	何時呼叫	成本
stock_quote	symbol (NSE/BSE)	Any price lookup	1 API call
option_chain	symbol, expiry	F&O analysis	1 API call
sector_breadth	sector index	Sector context	N calls
institutional_flow	date	Flow analysis	1 call

成本與限制

運行它的成本

API 配額: Varies by data provider; public NSE endpoints rate-limit heavily
每次呼叫 Token 數: Low
費用: Free if using public data; paid if using commercial feeds
提示: Cache queries — NSE blocks aggressive callers.

安全

權限、密鑰、影響範圍

憑證儲存： Any data provider creds in env vars

資料出站： NSE/BSE and any configured data providers

This skill is an analysis tool, not financial advice. It does not predict markets and does not generate trade signals.
Market participation involves substantial risk of loss. Consult a SEBI-registered advisor for personalized guidance.
Do not feed your live broker credentials through LLM context; this skill doesn't need them and shouldn't be modified to use them.

故障排查

常見錯誤與修復

NSE endpoint blocks requests

NSE aggressively rate-limits bots; add delays, rotate User-Agent, or use a commercial data feed

Option chain data stale

Free sources often lag — paid feeds for intraday work

替代方案