59/100 (Medium)

OpenClaw： suspicious
VirusTotal： benign
StaticScan： unknown

OpenClaw： suspicious

The skill's code and instructions are largely consistent with a Backtrader backtesting template, but small incoherences (notably an npm package.json listing Python packages and an unknown source) leav...

[内容已截断]

VirusTotal： benign VT 报告

静态扫描： unknown

README 未提供

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        "changelog": "Initial release of quant-trading-backtrader.\n\n- Build and backtest quantitative trading strategies using the Backtrader framework in Python.\n- Includes structured examples for indicator-based strategies, risk management (stop-loss, take-profit, position sizing), and reporting (trade logs, PNL).\n- Supports flexible data input (CSV, pandas DataFrame).\n- Provides template code and best practices for robust, research-driven strategy development.\n- Example strategies included, such as a basic SMA crossover with stop-loss.",
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        "version": "1.0.0"
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    "skill": {
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        "slug": "quant-trading-backtrader",
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        "summary": "Build, backtest, and optimize quantitative trading strategies in Python using Backtrader with support for indicators, risk management, and reporting.",
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