List TradingView relay sources with optional direct-route summaries. Filters out non-TradingView and legacy scan-backed routes.
MIT
134,818 tools. Last updated 2026-05-25 20:12
"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
- Cancel all open orders for a trading pair to stop a running grid strategy on supported cryptocurrency exchanges.MIT
- Compare trading strategy performance across multiple timeframes (1m to 1d) to identify the optimal timeframe for a given trading pair.MIT
- Discover available trading strategies for backtesting to identify which ones to analyze and optimize in your algorithmic trading framework.MIT
- Analyzes trading strategy performance across multiple pairs to identify and recommend the most suitable ones for optimization.MIT
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- Flicense-qualityBmaintenanceEnables automated control of TradingView Desktop via Chrome DevTools Protocol with 78+ tools for chart manipulation, Pine Script development, and indicator analysis. Supports automated morning briefs for session bias generation, replay trading practice, and multi-pane layouts with secure local-only data processing.Last updated1
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AI-powered trading strategy development: backtesting, market data, and portfolio analysis
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- Retrieve active trading sessions from the Jesse algorithmic trading framework to monitor real-time strategy execution and market positions.MIT
- Validate trading strategy code for errors before implementation using the Jesse algorithmic trading framework.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
- Analyze proposed strategy changes to estimate benefits, risks, and testing methodology for algorithmic trading optimization.MIT
- Retrieve trading strategy source code for analysis and modification in algorithmic trading backtests.MIT
- Executes a FLOX trading strategy on a CSV dataset in a resource-limited sandbox, returning backtest statistics and stdout. Use to validate strategy code on historical data.MIT
- Retrieve PnL totals and per-strategy breakdown from the runtime state snapshot. Returns realized, unrealized, and fees per strategy.MIT
- Retrieve the current state of a trading strategy, including parameters, position view, and last decisions. Use to query what a strategy thinks right now.MIT
- Run counterfactual replays to test trading strategy variations by overriding parameters and filtering by strategy name.MIT
- Retrieve live indicator values from a trading strategy to check current readings like EMA or RSI. Use optional name filter to target a specific indicator.MIT
- Analyze test point coverage and probe accessibility for PCB fixtures. Checks probe spacing, keep-out violations, and ICT fixture clearance.Apache 2.0
- Get detailed analytics for a PulseX trading pair: price, volume, liquidity, buy/sell ratio, price impact, volatility, and wash trading detection. Input the pair contract address to receive these metrics.MIT