List TradingView relay sources with optional direct-route summaries. Filters out non-TradingView and legacy scan-backed routes.
MIT
306,348 tools. Last updated 2026-07-26 17:27
"ICT Algorithmic Trading Strategy Development for TradingView" matching MCP tools:
- Create a TradingView relay source to get a webhook URL, source secret, and payload template for automated strategy alerts.MIT
- List recent inbound relay events for a TradingView source, showing per-route summary status.MIT
- Deploy a trading strategy as a bot. Defaults to paper trading, with option for live trading on specified exchange.MIT
- Generates TradingView Pine Script v6 from a strategy ID. Returns the script and identifier for backtesting and deployment.Apache 2.0
- Turn TradeDroid code into a trading strategy by setting name, market, timeframe, and description for automated backtesting and deployment.MIT
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- Flicense-qualityDmaintenanceConnects Claude Code to your locally running TradingView Desktop app via Chrome DevTools Protocol for AI-assisted chart analysis, Pine Script development, and workflow automation.Last updated
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AI-powered trading strategy development: backtesting, market data, and portfolio analysis
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- Retrieve current trading agent status including trading mode, active strategy, open positions, profit and loss, uptime, and active node count.
- Compare trading strategy performance across multiple timeframes (1m to 1d) to identify the optimal timeframe for a given trading pair.MIT
- Cancel all open orders for a trading pair to stop a running grid strategy on supported cryptocurrency exchanges.MIT
- Discover available trading strategies for backtesting to identify which ones to analyze and optimize in your algorithmic trading framework.MIT
- Analyze trading strategy performance across different market conditions to identify regime-specific strengths and weaknesses for targeted improvements.MIT
- Analyzes trading strategy performance across multiple pairs to identify and recommend the most suitable ones for optimization.MIT
- Validate trading strategy code for errors before implementation using the Jesse algorithmic trading framework.MIT
- Retrieve active trading sessions from the Jesse algorithmic trading framework to monitor real-time strategy execution and market positions.MIT
- Retrieve Fair Value Gap zones with CE, gap size, age, fill status, and distance from price for any symbol. Supports crypto and stocks with standard timeframes matching TradingView candles.MIT
- Remove trading strategies from the Jesse algorithmic trading framework. Specify the strategy name and confirm deletion to manage your trading portfolio.MIT
- Cancel active trading sessions in the Jesse framework to stop live or paper trading operations and manage algorithmic strategy execution.MIT
- Analyze trading strategy performance and get specific improvement recommendations to test for better results.MIT
- Test trading strategy performance by running comprehensive backtests with specified parameters, extracting metrics, and providing detailed analysis for informed decision-making.MIT
- Analyze trading strategy robustness using Monte Carlo simulation to test outcome variations, assess risk, and calculate confidence intervals for informed decision-making.MIT