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Create, backtest, deploy, and manage crypto trading strategies across exchanges.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "TradeStaq MCP" yet — see the docs or source repo.
Based on the last year of BTC and ETH market data, design a crypto quantitative strategy for short- to mid-term trading. Include entry, stop-loss, and take-profit rules, and provide actionable parameter recommendations.
A structured trading strategy with rules, parameters, and suitable use cases.
Backtest a moving-average crossover strategy on BTC/USDT using the past 12 months of data. Report return, max drawdown, win rate, and trade count, then assess whether it is worth further optimization.
Backtest results with key metrics and recommendations for improvement.
Summarize my crypto holdings across multiple exchange accounts, categorize them by asset, platform, and risk exposure, and suggest rebalancing actions plus automation ideas.
A portfolio overview, risk breakdown, and actionable rebalancing suggestions.
Analyze trading setups across IDX, forex, and crypto markets without execution.
Access stock quotes, historical data, and technical indicators through MCP.
Access live crypto data and quantitative analysis through MCP-compatible AI clients.
Analyze US stocks with explainable ratings, support levels, stops, and reasoning.
Expose trading analytics tools for indicators, risk, portfolio, and backtest insights.
Analyze OKX crypto markets, access real-time data, and automate trading decisions.