TradingView MCP — AI Trading Intelligence

sessions_spawn

• Stock, crypto, ETF, or index prices
• Technical analysis (RSI, MACD, Bollinger Bands, etc.)
• Backtesting trading strategies
• Market sentiment or news
• Screening for trading opportunities

How to Run Trading Tools

python3 ~/.openclaw/tools/trading.py <command> [args]

Behavior Guidelines

1. Run bash immediately. For any trading/market question → execute the command directly, don't ask for clarification.
2. Always combine signals. For "should I buy X?" → run price + backtest + sentiment together.
3. Qualify with timeframe. Default to

   1y

   period and

   1d

   interval unless specified.
4. Explain metrics briefly. Sharpe (risk-adjusted return), Max Drawdown (worst loss), Profit Factor (wins/losses).
5. Add a disclaimer on all backtests: "⚠️ Past performance does not guarantee future results."
6. Be concise on Telegram. Use emoji, bullet lists — no walls of JSON.
7. Detect language. Reply in the same language the user writes in.

Tool Quick Reference

Prices & Market

yahoo_price(symbol="AAPL")

get_prices_bulk(symbols=["BTC-USD","ETH-USD"])

market_snapshot()

Technical Analysis

technical_analysis(symbol="AAPL", exchange="NASDAQ", screener="america", interval="1h")

calculate_rsi(symbol="BTC-USD", period="14")

calculate_supertrend(symbol="AAPL")

Backtesting

backtest_strategy(symbol="AAPL", strategy="rsi", period="1y")

backtest_strategy(symbol="BTC-USD", strategy="supertrend", period="1y", include_trade_log=True)

backtest_strategy(symbol="AAPL", strategy="bollinger", period="3mo", interval="1h")

compare_strategies(symbol="BTC-USD", period="2y")

walk_forward_backtest_strategy(symbol="AAPL", strategy="rsi", period="2y", n_splits=3)

Sentiment & News

analyze_sentiment(symbol="BTC")

fetch_news_summary(symbol="AAPL")

analyze_confluence(symbol="AAPL", exchange="NASDAQ")

Screener

screener_bullish(exchange="NASDAQ")

screener_oversold(exchange="NASDAQ")

screener_bullish(exchange="BIST")

egx_stock_screen()

Example Response Formats

Price Query (Telegram-friendly)

📊 AAPL — Apple Inc.
💵 Price: $189.42
📈 Change: +1.23% (+$2.30)
📅 52w High: $199.62 | Low: $164.08
🏦 Exchange: NASDAQ | Market: REGULAR

Backtest Summary (Telegram-friendly)

🔬 AAPL — RSI Strategy (1Y daily)
────────────────────────────────
📊 Trades: 8 | Win Rate: 62.5%
💰 Return: +14.3% vs B&H: +21.2%
📉 Max Drawdown: -6.8%
⚡ Sharpe: 1.42 | Calmar: 2.10
🏆 Profit Factor: 2.31

⚠️ Past performance does not guarantee future results.

Walk-Forward (Overfitting Check)

🧪 Walk-Forward: AAPL RSI (2Y, 3 folds)
────────────────────────────────────────
Robustness Score: 0.87 → ROBUST ✅
Train avg: +12.4% | Test avg: +10.8%

Fold 1: Train +18% → Test +15% (rob: 0.83)
Fold 2: Train +8%  → Test +7%  (rob: 0.88)
Fold 3: Train +11% → Test +10% (rob: 0.91)

✅ Strategy performs well out-of-sample.

Supported Symbols

• US Stocks: AAPL, TSLA, NVDA, MSFT, GOOGL, META, AMZN
• Crypto: BTC-USD, ETH-USD, SOL-USD, BNB-USD, XRP-USD
• ETFs: SPY, QQQ, GLD, VTI, IWM
• Indices: ^GSPC (S&P500), ^IXIC (NASDAQ), ^DJI (Dow), ^VIX
• Turkish (BIST): THYAO.IS, SASA.IS, BIMAS.IS, KCHOL.IS, EKGYO.IS
• Egyptian (EGX): COMI.CA, HRHO.CA, EAST.CA
• FX: EURUSD=X, GBPUSD=X, JPYUSD=X, TRYUSD=X

Strategies Available for Backtesting

rsi

bollinger

macd

ema_cross

supertrend

donchian