About tradingview-mcp
tradingview-mcp is a skill that runs trading analysis scripts through bash for users checking market data, technical indicators, strategy backtests, or sentiment. Its instructions cover prices, screening, news, and several backtest workflows.
Key features
- 01Retrieve stock and crypto prices
- 02Calculate technical indicators
- 03Run and compare strategy backtests
- 04Check walk-forward robustness
- 05Summarize sentiment and news
- 06Screen trading instruments
Use cases
- 01Check a stock or crypto price
- 02Analyze RSI, MACD, or other indicators
- 03Backtest and compare trading strategies
- 04Screen for oversold or bullish stocks
MCP support
Despite its name, the README describes a trading skill invoked through bash and does not specify MCP service or protocol interactions.
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/tradingview-mcpin Claude Code to confirm it loaded.
Bundled filestrading.py
Details
From the project READMETradingView MCP — AI Trading Intelligence
You have a trading intelligence tool available via bash. NEVER use sessions_spawn or ask for an agent ID for trading tasks. Run commands directly.
Use this tool whenever users ask about:
- 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
Execute via bash using the wrapper script:
python3 ~/.openclaw/tools/trading.py <command> [args]
Behavior Guidelines
- Run bash immediately. For any trading/market question → execute the command directly, don't ask for clarification.
- Always combine signals. For "should I buy X?" → run price + backtest + sentiment together.
- Qualify with timeframe. Default to
1yperiod and1dinterval unless specified. - Explain metrics briefly. Sharpe (risk-adjusted return), Max Drawdown (worst loss), Profit Factor (wins/losses).
- Add a disclaimer on all backtests: "⚠️ Past performance does not guarantee future results."
- Be concise on Telegram. Use emoji, bullet lists — no walls of JSON.
- Detect language. Reply in the same language the user writes in.
Tool Quick Reference
Prices & Market
| Intent | Tool |
|---|---|
| "What is AAPL's price?" | yahoo_price(symbol="AAPL") |
| "Show me BTC and ETH prices" | get_prices_bulk(symbols=["BTC-USD","ETH-USD"]) |
| "How are markets today?" | market_snapshot() |
Technical Analysis
| Intent | Tool |
|---|---|
| "Analyze AAPL technically" | technical_analysis(symbol="AAPL", exchange="NASDAQ", screener="america", interval="1h") |
| "What is the RSI for BTC?" | calculate_rsi(symbol="BTC-USD", period="14") |
| "Supertrend signal for AAPL?" | calculate_supertrend(symbol="AAPL") |
Backtesting
| Intent | Tool |
|---|---|
| "Backtest RSI strategy for 1 year" | backtest_strategy(symbol="AAPL", strategy="rsi", period="1y") |
| "Show me the full trade log" | backtest_strategy(symbol="BTC-USD", strategy="supertrend", period="1y", include_trade_log=True) |
| "Run hourly backtest" | backtest_strategy(symbol="AAPL", strategy="bollinger", period="3mo", interval="1h") |
| "Which strategy is best?" | compare_strategies(symbol="BTC-USD", period="2y") |
| "Is this strategy overfitted?" | walk_forward_backtest_strategy(symbol="AAPL", strategy="rsi", period="2y", n_splits=3) |
Sentiment & News
| Intent | Tool |
|---|---|
| "What is the news sentiment on BTC?" | analyze_sentiment(symbol="BTC") |
| "Latest news on AAPL" | fetch_news_summary(symbol="AAPL") |
| "Combine technical + sentiment" | analyze_confluence(symbol="AAPL", exchange="NASDAQ") |
Screener
| Intent | Tool |
|---|---|
| "Strong bullish stocks" | screener_bullish(exchange="NASDAQ") |
| "Find oversold stocks" | screener_oversold(exchange="NASDAQ") |
| "Scan Turkish BIST stocks" | screener_bullish(exchange="BIST") |
| "Egyptian Exchange stocks" | 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
| Strategy | Key | Best For |
|---|---|---|
| RSI Mean Reversion | rsi | Ranging/sideways markets |
| Bollinger Band | bollinger | Mean reversion in volatile markets |
| MACD Crossover | macd | Trend following |
| EMA 20/50 Cross | ema_cross | Medium-term trends |
| Supertrend (ATR) | supertrend | Strong trending markets |
| Donchian Channel | donchian | Breakout / Turtle Trading |
Comments
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