.claude/skills/<skill-name>1 structural issue
- error: The fixed release did not provide readable SKILL.md content.
SKILL.md
Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.
小果量化回测系统助手 (微信:xg_quant)。基于业界领先的Backtrader回测框架,提供从数据加载、策略开发、回测执行到绩效分析的全流程量化交易解决方案。 支持多品种(股票、期货、外汇、加密货币)、多周期(Tick, 秒, 分钟, 日, 周, 月)、多策略回测与参数优化。 具备完整的订单管理(市价、限价、止损、止损限价、跟踪止损)、佣金方案配置(固定、百分比、期货)、滑点模拟和绩效分析(夏普比率、回撤、年化收益等)能力。 作者:小果 (xg_quant),联系方式:微信 xg_quant。 触发关键词:小果、xg_quant、回测系统、量化回测、Backtrader、策略开发、策略回
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.claude/skills/<skill-name>SKILL.mdRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/<skill-name>SKILL.mdRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/<skill-name>SKILL.mdRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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sha256:ecba3a68c32b83ea5f7a79387f98a5fc89717a55631f711d84544bc1aa18ad8cassets/5.数据处理.txtassets/analyzer-annualreturntest.txtassets/analyzercustom.txtassets/analyzerexample.txtassets/analyzeroutputcsv.txtassets/analyzerwriter.txtassets/backtrader源代码训练.txtassets/baostockForecast.txtassets/baostockGetData.txtassets/benchmark.txtassets/brokerexample.txtassets/cheat_on_close.txtassets/cheat_on_open.txtassets/crossover.txtassets/crossoverbaostock.txtassets/CrossSectionalMeanReversion.txtassets/CrossSectionalMeanReversionImprove.txtassets/data-resample-min.txtassets/data-resample.txtassets/dowload_data_baostock.txtassets/example.txtassets/extendDatafeed.txtassets/fileEncoding.txtassets/first.txtassets/firstback.txtassets/functiongraph.txtassets/getdates.txtassets/kelly.txtassets/knapsack.txtassets/load-minute-data.txtxg-backtrader 1.0.0 - Initial release of the 小果量化回测系统助手, based on the Backtrader framework. - Provides end-to-end quantitative backtesting solutions: data loading, strategy development, backtest execution, and performance analysis. - Supports multiple asset types (stocks, futures, forex, crypto), multiple timeframes (tick, second, minute, daily, weekly, monthly), multi-strategy backtesting, and parameter optimization. - Features comprehensive order types (market, limit, stop, stop-limit, trailing stop), commission schemes, slippage simulation, and detailed performance metrics (Sharpe, drawdown, annual returns, etc.). - Includes a detailed code template for double moving average strategies with explanations and best practices. - User guidance covers all core Backtrader components and workflow.