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在 #trading-systems 中显示 20 篇文章
#trading-systems
参数优化与过拟合风险
优化交易系统参数能提升表现，也能悄悄通过过拟合毁掉它，本指南讲优化流程和过拟合预警。
#trading-systems#backtesting
多系统组合与相关性
组合不相关的交易系统能降低回撤、平滑回报，本指南讲组合构建、相关性分析和资金分配。
#trading-systems#backtesting
交易系统中的蒙特卡洛模拟
蒙特卡洛模拟通过打乱交易顺序，揭示真实的回撤与破产概率。本文给新手系统开发者讲清楚这套技术怎么用、怎么看结果。
#trading-systems#backtesting
最大回撤与恢复因子
最大回撤是系统经历过的最深峰谷损失。本文讲怎么测、怎么规划，以及用恢复因子评估系统质量。
#trading-systems#backtesting
从手动到自动化：技术路径
自动化交易系统去除情绪、解锁回测，但从手动到算法的转型有特定的技术路径，新手得一步步来。
#trading-systems#backtesting
Forward Testing：为什么 demo 是必经之路
在 demo 账户上做 forward testing，能验证回测过的系统在实盘条件下还能不能跑。本文讲清这步为啥不能省，新手怎么跑。
#trading-systems#backtesting
回测方法论：数据与流程
可信的回测取决于对的历史数据和严谨流程。本文带新手过一遍数据源、周期和分步回测。
#trading-systems#backtesting
常见回测偏差与陷阱
回测常常通过隐蔽的偏差高估收益。本文讲主要陷阱——幸存者偏差、前视偏差、数据挖掘等——给新手举例说明。
#trading-systems#backtesting