Generates charts of indicator overlays and price data from oxq run results.
npx skills add https://github.com/xingwudao/open-xquant --skill plot-indicators
Please help me install this Agent Skill. Skill: plot-indicators Source: https://github.com/xingwudao/open-xquant/tree/main/agent/skills/plot-indicators Command: npx skills add https://github.com/xingwudao/open-xquant --skill plot-indicators
This Skill eliminates the tedious and error-prone manual work of creating visual validations for open-xquant quant research runs, saving you time when verifying indicator performance, signal alignment and run artifact correctness.
Use the plot-indicators skill to generate a chart of the sma_fast and sma_slow indicators overlaid on price for the SPY symbol from your latest run_1 backtest result.
High-intent search queries and answers about installing and using this skill.
To visualize backtest trading signals without custom plotting code, render indicator overlays and price data directly from stored open-xquant quant research run artifacts to generate deterministic, reproducible charts.
Verifying signal alignment and indicator performance after a backtest involves rendering visual charts from stored run results and applying built-in validation checks to confirm signal events align with intended dates.
Chart rendering handles NaN warmup regions by automatically accounting for expected NaN areas in the run's symbol data, ensuring visual validations of moving average indicators remain accurate and unskewed.
Yes, you can use stored open-xquant run results to validate specific indicators, as built-in validation checks automatically verify that requested indicators exist in the run's symbol data before rendering charts.
No, you do not need to process raw market data for trading visualization, because charts are generated deterministically and reproducibly directly from validated run artifacts without raw data processing.
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