tradingview-mcp
AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, Reddit sentiment, news, and multi-market screener. Supports stocks, crypto, ETFs, indices, Turkish (BIST), and Egyptian (EGX) markets.
pinned to #546dc2aupdated 2 weeks ago
Ask your AI client: “install skills/tradingview-mcp”.
Requires the metahub MCP server installed in your client. Set up MCP.
mh install skills/tradingview-mcpmetahub onboarded this repo on the author's behalf.
If you own github.com/atilaahmettaner/tradingview-mcp on GitHub, claim the listing to take over publishing. Your claim preserves the existing eval history and badges; only the curator label is replaced with verified-publisher on your next publish.
Stars
3,485
Last commit
2 weeks ago
Latest release
published
- #claude-desktop
- #cryptocurrency
- #futures
- #market-data
- #mcp-server
- #mcp-tools
- #model-context-protocol
- #openclaw
- #stock-market
- #technical-analysis
- #trading-mcp
- #trading-strategies
- #tradingview
About this skill
Pulled from SKILL.md at publish time.
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.
Evaluation report
WarningsAutomated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.546dc2a· 2 weeks ago
Kind-specific
31Skill: SKILL.md present
found at openclaw/SKILL.md · frontmatter source: SKILL.md
Skill: body content present
681 words · 4,852 chars · 14 sections · 4 code blocks
Skill: triggers declaredwarn
No `trigger` phrases in SKILL.md frontmatter
Add `trigger:` lines so Claude knows when to activate this skill — e.g. `when building MCP servers` or `for diagram creation`.
Skill: allowed-tools scope
no allowed-tools restriction (Claude may use anything)
Release history
1- releasecurrent546dc2awarn2 weeks ago
Contents
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 Reddit saying about 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 |
Reviews
No reviews yet. Be the first.
Related
Gpt Researcher
An autonomous agent that conducts deep research on any data using any LLM providers
Planning With Files
Claude Code skill implementing Manus-style persistent markdown planning — the workflow pattern behind the $2B acquisition.
Verification Before Completion
Evidence before assertions, always
mh install skills/tradingview-mcp