Polymarket Tennis
livetennisapi/livetennisapi-mcp
Build observe-only Polymarket and Kalshi tennis market tooling on the polymarket-tennis Python package (MIT) plus the Live Tennis API free tier.
AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and…
Install Tradingview MCP
$ npx skills add atilaahmettaner/tradingview-mcp --skill tradingview-mcp -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install atilaahmettaner/tradingview-mcp tradingview-mcp --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/atilaahmettaner/tradingview-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/openclaw .claude/skills/tradingview-mcp && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "tradingview-mcp" agent skill from https://github.com/atilaahmettaner/tradingview-mcp/tree/main/openclaw into .claude/skills/tradingview-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tradingview-mcp", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/atilaahmettaner/tradingview-mcp/tree/main/openclawType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add atilaahmettaner/tradingview-mcp --skill tradingview-mcp -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install atilaahmettaner/tradingview-mcp tradingview-mcp --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atilaahmettaner/tradingview-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/openclaw .agents/skills/tradingview-mcp && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tradingview-mcp" agent skill from https://github.com/atilaahmettaner/tradingview-mcp/tree/main/openclaw into .agents/skills/tradingview-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tradingview-mcp", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add atilaahmettaner/tradingview-mcp --skill tradingview-mcp -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install atilaahmettaner/tradingview-mcp tradingview-mcp --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atilaahmettaner/tradingview-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/openclaw .cursor/skills/tradingview-mcp && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tradingview-mcp" agent skill from https://github.com/atilaahmettaner/tradingview-mcp/tree/main/openclaw into .cursor/skills/tradingview-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tradingview-mcp", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/atilaahmettaner/tradingview-mcp.git --path openclaw--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add atilaahmettaner/tradingview-mcp --skill tradingview-mcp -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install atilaahmettaner/tradingview-mcp tradingview-mcp --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atilaahmettaner/tradingview-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/openclaw .gemini/skills/tradingview-mcp && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tradingview-mcp" agent skill from https://github.com/atilaahmettaner/tradingview-mcp/tree/main/openclaw into .gemini/skills/tradingview-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tradingview-mcp", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install atilaahmettaner/tradingview-mcp tradingview-mcpInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add atilaahmettaner/tradingview-mcp --skill tradingview-mcp -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/atilaahmettaner/tradingview-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/openclaw .github/skills/tradingview-mcp && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tradingview-mcp" agent skill from https://github.com/atilaahmettaner/tradingview-mcp/tree/main/openclaw into .github/skills/tradingview-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tradingview-mcp", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add atilaahmettaner/tradingview-mcp --skill tradingview-mcp -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install atilaahmettaner/tradingview-mcp tradingview-mcp --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atilaahmettaner/tradingview-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/openclaw .opencode/skills/tradingview-mcp && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tradingview-mcp" agent skill from https://github.com/atilaahmettaner/tradingview-mcp/tree/main/openclaw into .opencode/skills/tradingview-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tradingview-mcp", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
tradingview-mcp- GitHub stars
- 5k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 408 words
- Files
- 2
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- MIT
At a glance
AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and…
- Works in 7 steps: Run bash immediately. For any… → Always combine signals. For "should I… → Qualify with timeframe. Default to 1y… → …
- Tasks that involve Trading and backtesting
- SKILL.md covers How to Run Trading Tools, Behavior Guidelines, Tool Quick Reference and Example Response Formats, plus 2 more sections
- Runs Python scripts from its folder; calls python3
What it does
Tradingview MCP is an agent skill from atilaahmettaner/tradingview-mcp. AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and multi-market screener. Supports stocks, crypto, ETFs, indices, Turkish (BIST), and Egyptian (EGX) markets.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `trading.py`).
It sits in Business, Finance & HR, covering Trading and backtesting, Stock and market analysis and MCP servers. It works with Model Context Protocol, Telegram and Bash. The repository describes itself as: TradingView MCP server — real-time market data, technical analysis, screeners & backtesting for Claude, ChatGPT, Cursor & any MCP client. Stocks, crypto, forex & futures across… The licence is MIT.
When your agent uses it
- Tasks that involve Trading and backtesting
- Tasks that involve Stock and market analysis
- Tasks that involve MCP servers
Example prompts
- “/tradingview-mcp”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- 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 1y period and 1d interval 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.
What it can do on your machine
Read from SKILL.md and the folder at commit 099090e. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Tradingview MCP loads about 1.3k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 408 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from atilaahmettaner/tradingview-mcp at commit 099090e, republished under its MIT licence (© atilaahmettaner). 408 words, ~1,333 tokens.
Download SKILL.mdSave it as
.claude/skills/tradingview-mcp/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- tradingview-mcp
- description
- AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and multi-market screener. Supports stocks, crypto, ETFs, indices, Turkish (BIST), and Egyptian (EGX) markets.
TradingView 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) |
Show full SKILL.md (147 more words)Show less
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: REGULARBacktest 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 |
© atilaahmettaner, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in openclaw of atilaahmettaner/tradingview-mcp.
- SKILL.md
- trading.py
Open the folder on GitHubat commit 099090e
Compare with similar skills
Tradingview MCP next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tradingview MCP this skillatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Polymarket Tennislivetennisapi/livetennisapi-mcp | 152 | — | ~3k | Automated safety check: Pass | MIT | |
| Okx Sentiment Trackerdex-original/okx-agent-trade-kit | 110 | 1 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Tradingview MCPhimself65/finance-skills | 3.4k | — | ~2.4k | Automated safety check: Pass | MIT | |
| OpenmmLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.1k | Automated safety check: Notes | MIT | |
| Tiger Brokers OpenAPI SDKqusong0627/QuantMind | 1.7k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 |
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Related
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Questions about Tradingview MCP
What does Tradingview MCP do?
AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and…. Tradingview MCP is an agent skill from atilaahmettaner/tradingview-mcp. AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and multi-market screener.
When should I use Tradingview MCP?
Tradingview MCP fits situations like: tasks that involve Trading and backtesting; tasks that involve Stock and market analysis; tasks that involve MCP servers.
How do I install Tradingview MCP in Claude Code?
Run `npx skills add atilaahmettaner/tradingview-mcp --skill tradingview-mcp -a claude-code`. Or copy the skill folder (openclaw in atilaahmettaner/tradingview-mcp) into .claude/skills/tradingview-mcp in your project. Claude Code loads it when a task matches its description.
How do I install Tradingview MCP in Codex?
Run `npx skills add atilaahmettaner/tradingview-mcp --skill tradingview-mcp -a codex`. Or copy the skill folder (openclaw in atilaahmettaner/tradingview-mcp) into .agents/skills/tradingview-mcp in your project. Codex loads it when a task matches its description.
Can I use Tradingview MCP in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add atilaahmettaner/tradingview-mcp --skill tradingview-mcp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tradingview-mcp, .gemini/skills/tradingview-mcp, .github/skills/tradingview-mcp and .opencode/skills/tradingview-mcp in your project.
What does Tradingview MCP need to run?
Going by SKILL.md and its folder, Tradingview MCP needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Tradingview MCP access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Tradingview MCP safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Tradingview MCP use?
Tradingview MCP is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Tradingview MCP use?
About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Tradingview MCP?
Skills that share tags, products or a category with Tradingview MCP: Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars), Okx Sentiment Tracker (dex-original/okx-agent-trade-kit, 110 stars), Tradingview MCP (himself65/finance-skills, 3.4k stars) and Openmm (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tradingview MCP?
atilaahmettaner (a GitHub user) maintains it in atilaahmettaner/tradingview-mcp, which has 4,993 GitHub stars. The repository was last updated on October 9, 2026.
Source: atilaahmettaner/tradingview-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.