调了几十组参数才找到一个赚钱的，这个结果还能信吗？
参数稍微一改，利润就没了？先看附近设置，再换段没用来调参的行情，别只被最好看的那张曲线说服。
Backtest Validation
Check backtest credibility through parameter tests, out-of-sample validation, market-regime comparisons and realistic execution assumptions.
Your Strategy Is Suddenly Profitable. Real Edge or Market Luck?
A hot streak can make a strategy look smarter than it is. Trace the gains, compare the conditions, and turn the result into a focused research plan.
策略突然赚得特别好，是找到了优势，还是刚好赶上行情？
一张漂亮收益图，值得追问的不只是赚了多少。带着策略和回测报告，用 EdgePilot Research 看清数字背后的区间、条件与研究方向。
AI Can Generate Strategies at Scale. Which Ones Should You Kill?
AI made trading ideas cheap—and lucky backtests plentiful. The scarce part is a research loop that can reproduce, stress, compare, and reject weak strategies before they reach real money.
AI 能批量生成策略，为什么你反而更难找到能用的？
AI 把写策略变便宜了，也把碰巧好看的回测变多了。真正稀缺的不是第 101 个想法，而是一条能复现、施压并及时放弃错误策略的研究流程。
Rolling Validation vs. Cross-Validation: What Do They Actually Mean?
Cross-validation changes the exam. Rolling validation also keeps time moving forward. Here’s how to tell whether a backtest learned a real pattern or memorized history.
滚动验证、交叉验证到底是什么？普通人也能看懂吗？
交叉验证是在换考卷，滚动验证是在让时间往前走。看懂数据怎么切，就能发现回测有没有偷看答案。