oneqaz-trading-mcp 0.1.3

MCP server for trading signal analysis, position monitoring, and market regime detection

oneqaz-trading-mcp

MCP server for trading signals, market regime detection, position monitoring, Fear & Greed index, and cross-market pattern analysis. Supports crypto, US stocks, and Korean stocks.

Keywords: MCP, trading, signals, market analysis, regime, portfolio, sentiment, technical analysis, crypto, stocks, Fear & Greed, cross-market, Claude, model context protocol

Features

• 8 Resource categories: Global regime, market status, market structure, indicators (Fear & Greed), signals, external context (news/events), unified context, derived signals
• 4 Tool types: Trade history, positions, signals, and trading decisions — all with filtering and sorting
• Multi-market: Supports crypto, Korean stocks (KR), and US stocks
• SQLite-based: No external database server required
• Stateless HTTP: Compatible with any MCP client

Quick Start

Install

pip install oneqaz-trading-mcp

Initialize sample data

oneqaz-trading-mcp init

This creates sample SQLite databases with demo trading data so you can test immediately.

Start the server

oneqaz-trading-mcp serve

Server starts at http://localhost:8010 by default.

• Swagger UI: http://localhost:8010/docs
• MCP endpoint: http://localhost:8010/mcp

Connect from Claude

Add to your Claude MCP config:

{
  "mcpServers": {
    "oneqaz-trading": {
      "url": "http://localhost:8010/mcp"
    }
  }
}

Use Cases

1. Ask Claude about market conditions

Once connected, just ask Claude in natural language:

You: "What's the current market regime for crypto?"

Claude reads market://crypto/status and responds:
  "Crypto is currently in a sideways_bullish regime.
   Fear & Greed index is at 68 (Greed).
   3 active BUY signals with avg score 0.78."

You: "Show me the best performing positions in US stocks"

Claude calls get_positions(market_id="us_stock", sort_by="roi", sort_order="desc") and responds:
  "Top positions:
   1. NVDA — +12.3% ROI (trend_continuation strategy)
   2. AAPL — +8.1% ROI (breakout strategy)
   3. MSFT — +5.4% ROI (momentum strategy)"

You: "Any macro risks I should know about?"

Claude reads market://global/summary and responds:
  "Global regime: neutral (score: 0.12)
   - Bonds: bearish, rising yields
   - VIX: elevated, risk_level=high
   - Commodities: bullish, gold at ATH
   Recommendation: defensive positioning suggested."

2. Build an AI trading assistant

Connect the MCP server to your own AI application:

# Your AI app reads market intelligence from OneQAZ
regime = mcp.read("market://crypto/status")
signals = mcp.call("get_signals", market_id="crypto", min_score=0.7)
fear_greed = mcp.read("market://indicators/fear-greed")

# Your AI decides what to do with this context
prompt = f"""
  Market regime: {regime}
  High-confidence signals: {signals}
  Sentiment: {fear_greed}

  Should the user buy, hold, or sell?
"""

3. Cross-market analysis

You: "Compare crypto vs US stock market conditions"

Claude reads:
  - market://crypto/status
  - market://us_stock/status
  - market://unified/cross-market

Claude: "Crypto is bullish while US stocks are neutral.
   Cross-market correlation is weakening — crypto is
   decoupling from equity risk sentiment.
   This pattern historically precedes crypto outperformance."

4. Signal monitoring

You: "What BUY signals fired in the last 24 hours for Korean stocks?"

Claude calls get_signals(market_id="kr_stock", action_filter="BUY"):
  "12 BUY signals in KR market:
   - Samsung (005930): score 0.85, trend_continuation
   - SK Hynix (000660): score 0.79, breakout
   - POSCO (005490): score 0.71, mean_reversion
   ..."

Sample Response

Reading market://crypto/status returns:

{
  "market_id": "crypto",
  "regime": {
    "stage": "sideways_bullish",
    "score": 0.42,
    "confidence": 0.78
  },
  "positions": {
    "total": 5,
    "long": 4,
    "short": 1,
    "avg_roi": 3.2
  },
  "signals_24h": {
    "buy": 8,
    "sell": 3,
    "hold": 12,
    "avg_score": 0.65
  },
  "_llm_summary": "Crypto market is sideways_bullish. 5 active positions (avg ROI +3.2%). 8 BUY signals in last 24h."
}

Configuration

All configuration is via environment variables:

Variable	Default	Description
MCP_SERVER_PORT	8010	Server port
MCP_SERVER_HOST	0.0.0.0	Bind host
MCP_LOG_LEVEL	INFO	Log level
DATA_ROOT	Auto-detect	Root directory for all data
MCP_COIN_DATA_DIR	{DATA_ROOT}/market/coin_market/data_storage	Crypto data directory
MCP_KR_DATA_DIR	{DATA_ROOT}/market/kr_market/data_storage	KR stock data directory
MCP_US_DATA_DIR	{DATA_ROOT}/market/us_market/data_storage	US stock data directory
MCP_EXTERNAL_CONTEXT_DATA_DIR	{DATA_ROOT}/external_context/data_storage	External context directory
MCP_GLOBAL_REGIME_DATA_DIR	{DATA_ROOT}/market/global_regime/data_storage	Global regime directory

Resources

Resource URI	Description
market://health	Server health check
market://global/summary	Global macro regime summary
market://global/category/{category}	Per-category analysis (bonds, commodities, forex, vix, credit, liquidity, inflation)
market://global/categories	Available categories list
market://structure/all	All markets ETF/basket structure
market://{market_id}/structure	Per-market structure analysis
market://{market_id}/status	Market status (regime, positions, performance)
market://{market_id}/positions/snapshot	Current positions snapshot
market://all/summary	All markets combined summary
market://indicators/fear-greed	Fear & Greed Index
market://indicators/context	Combined market context
market://{market_id}/signals/summary	Signal summary (24h aggregation)
market://{market_id}/signals/feedback	Signal pattern feedback
market://{market_id}/signals/roles	Role-based signal summary
market://{market_id}/external/summary	External context (news, events, fundamentals)
market://{market_id}/external/symbol/{symbol}	Per-symbol external context
market://{market_id}/unified/symbol/{symbol}	Unified technical + external context
market://{market_id}/unified	Market-level unified context
market://unified/cross-market	Cross-market pattern analysis

Market IDs: crypto, kr_stock, us_stock (aliases: coin, kr, us)

Tools

Tool	Parameters	Description
get_trade_history	market_id, limit, action_filter, min_pnl, max_pnl, hours_back	Query trade history with filters
get_positions	market_id, min_roi, max_roi, strategy, sort_by, sort_order, limit	Query open positions
get_signals	market_id, symbol, min_score, max_score, action_filter, interval	Query trading signals
get_latest_decisions	market_id, limit, decision_filter, hours_back	Query recent trading decisions

Docker

docker build -t oneqaz-trading-mcp .
docker run -p 8010:8010 oneqaz-trading-mcp

Data Directory Structure

{DATA_ROOT}/
├── market/
│   ├── global_regime/data_storage/
│   │   ├── global_regime_summary.json
│   │   └── {bonds,commodities,forex,vix,...}_analysis.db
│   ├── coin_market/data_storage/
│   │   ├── trading_system.db
│   │   ├── signals/{symbol}_signal.db
│   │   └── regime/market_structure_summary.json
│   ├── kr_market/data_storage/  (same structure)
│   └── us_market/data_storage/  (same structure)
└── external_context/data_storage/
    ├── coin_market/external_context.db
    ├── kr_market/external_context.db
    └── us_market/external_context.db

License

MIT