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Discover indicators, build strategies, run backtests, and analyze results conversationally.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "backtest360-mcp" yet — see the docs or source repo.
List the technical indicators supported by Backtest360, grouped by trend, momentum, and volatility, and briefly explain suitable trading scenarios for each.
A categorized list of indicators with short explanations of their uses and suitable scenarios.
Help me design a daily Bitcoin strategy using moving-average crossover with an RSI filter, validate the parameters first, then point out possible logic issues and improvements.
A complete strategy definition, parameter validation results, and suggestions for logic risks and optimization.
Run a backtest on ETH using the above strategy over the past three years of 4-hour data, then summarize return, max drawdown, win rate, and trade count, and give a conclusion.
Backtest results with key performance metrics and a concise interpretation of the strategy’s performance.
Fetch stock data, run strategy backtests, and generate result reports.
Expose trading analytics tools for indicators, risk, portfolio, and backtest insights.
Access stock quotes, historical data, and technical indicators through MCP.
Build, backtest, and deploy quantitative trading strategies through an AI agent.
Quantitative analytics tool for pairs trading tests, backtests, validation, and risk control.
Analyze trading setups across IDX, forex, and crypto markets without execution.