夏普Sharpe
1.42
流程很简单：发现、构建、回测、监控。但值得信任一次运行的门槛更严格：手续费和滑点都会建模，样本量会被点明，前视风险会被检查，FDR / DSR 与夏普并列呈现，每一个实时监控都始终绑定它所来自的那次回测。The flow is simple: discover, build, backtest, monitor. But the bar for trusting a run is higher — fees and slippage are modeled, sample size is called out, look-ahead risk is checked, FDR / DSR sit next to Sharpe, and every live monitor stays bound to the backtest it came from.
匹配强度只描述形状质量，不是概率、预测或业绩。Match strength is shape quality — not a probability, forecast, or performance measure.
同一份策略数据贯穿每一个环节，但每一个有用的决策，都从附在它身上的证据开始：成本、样本、可复现性，以及实时漂移。The same strategy data runs through every stage, but every useful decision starts from the evidence attached to it: cost, sample, reproducibility, and live drift.
精选信号预设、研究对象、指标配方。只有在看到附带的证据之后，才 Fork。Curated signal presets, research subjects, and indicator recipes. Fork only after you've seen the evidence attached.
引导式编辑器用于快速迭代，高级逻辑图编辑器用于完全掌控——底层是同一份数据。A guided editor for fast iteration, an advanced logic-graph editor for full control — the same data underneath.
贴近真实的手续费、滑点与样本量提示。对比两次运行。Pro 可导出 CSV，Pro+ 可导出 CSV 或 JSON。快照级复现仍在路线图上。Realistic fees, slippage, and sample-size callouts. Compare two runs. Export CSV on Pro, CSV or JSON on Pro+. Snapshot reproduce is still on the roadmap.
即时提醒、免打扰时段，以及绑定回到当初证明可上线的那次运行的健康检查。Instant alerts, quiet hours, and health checks bound back to the run that proved it was ready.
带着可信度信息发布一个策略。别人 Fork 它；你在工作区里追踪这条血缘。Publish a strategy with its trust info. Others fork it; you track the lineage in your workspace.
先从引导式编辑器开始——选一个指标、设一个阈值、选一个方向。准备好之后，把同一套规则切换到逻辑图编辑器，处理嵌套条件、自定义指标和版本历史。Start in the guided editor — pick an indicator, set a threshold, choose a direction. When you're ready, switch the same rules into the logic-graph editor for nested conditions, custom indicators, and version history.
每个结果在展示收益之前，都会先点出它可能存在的问题——样本量、前视风险、成交量缺失。自定义手续费、滑点模型，以及任意两次运行的并排对比。Before showing returns, every result calls out what might be wrong with it — sample size, look-ahead risk, missing volume. Custom fees, slippage models, and a side-by-side compare of any two runs.
规则真正触发时才即时提醒。尊重免打扰时段。健康面板会呈现信号新鲜度、与回测的漂移以及回撤趋势，让你知道何时该暂停。Instant alerts only when a rule actually fires. Quiet hours respected. The health panel surfaces signal freshness, drift from the backtest, and drawdown trend, so you know when to pause.
Factor Lab 是已完成实验的归宿。app 主页讲解产品；归档则让你审视已完成的研究对象，并在证据足够好时，把数据 Fork 到 Build。Factor Lab is where finished experiments live. The homepage explains the product; the archive lets you review completed research subjects and fork the data into Build when the evidence is good enough.
打开 Factor LabOpen Factor Lab没有策略灵感式的宣传语。归档把每一条都当作带有机制和原假设的已完成实验。No strategy-inspo taglines. The archive treats each one as a finished experiment with a mechanism and a null hypothesis.
净夏普、硬指标得分、闸门、容量状态和成本真实性，被设计成可以一起扫读。Net Sharpe, hard-metric score, gate, capacity status, and cost realism are designed to be scanned together.
当你信任这个对象时，Fork 到 Build 就是主操作。详情和导出依然可用，但属次要。When you trust a subject, forking it into Build is the primary action. Details and export stay available, but secondary.
主站负责卖产品。Factor Lab 则像一个独立的研究界面，本地导航更安静。The main site sells the product. Factor Lab acts like a standalone research interface with quieter, local navigation.
价格与购买状态以 iOS 订阅页和 App Store 为准；数据上限、执行能力和实际行情覆盖分别检查。See the iOS subscription page and App Store for prices and purchase availability. Data limits, engine support and actual coverage are checked separately.
无需订阅费用No subscription charge
月付或年付 · 在应用内查看本地区价格Monthly or yearly · See local prices in the app
月付或年付 · 在应用内查看本地区价格Monthly or yearly · See local prices in the app
K线数量包含指标预热，不等于固定年限。云端回测和研究任务按每个账户的公平使用上限执行。切换套餐不会删除已有研究历史。Bar counts include indicator warm-up and do not imply a fixed number of years. Cloud backtests and research jobs follow per-account fair-use limits. Changing plans does not delete research history.
引导流程不会问你的收入。它只问你想做什么、关心哪些市场、想多亲力亲为——然后据此调配 Discover、Build 和 Monitor。The setup flow won't ask your income. It only asks what you want to do, which markets you care about, and how hands-on you want to be — then tunes Discover, Build, and Monitor to match.
随处可跳过。Skip anywhere.
你随时可以在设置里切换路线。You can switch paths in settings any time.
不会。我们是研究工具。监控只做仅观察或模拟交易。我们从不托管资金，也从不向交易所发送订单。No. We're a research tool. Monitors are watch-only or paper trading. We never custody funds and never send orders to an exchange.
样本量、前视偏差、成交量缺失、相对交易规模的滑点是否真实，以及执行风险提示——这些都是会悄悄让回测变得不可靠的东西。Sample size, look-ahead bias, missing volume, whether slippage is realistic for your trade size, and execution-risk notes — the things that quietly make a backtest unreliable.
策略数据留在你的工作区，可在 iOS 上继续改。回测结果可导出为本机文件：Pro 可导出 CSV，Pro+ 可导出 CSV 或 JSON。Factor Lab 网页可以把实验导出为 JSON 或 CSV。Your strategy data stays in the workspace and remains editable on iOS. Backtest results export as files on your device: CSV with Pro, CSV or JSON with Pro+. The Factor Lab site can export experiments as JSON or CSV.
回测在我们的服务器上运行，但 app 会缓存最近的运行、编辑器和你的策略库，所以你在飞机上也能浏览和微调。Backtests run on our servers, but the app caches recent runs, the editor, and your strategy library, so you can browse and tweak on a plane.
可以。到期后你会降回免费版。你的策略都会保留，变的只是上限。我们从不删除你的成果。Yes. You drop back to Free when the term ends. Your strategies stay; only the limits change. We never delete your work.
免费开始，无需订阅费用。登录后即可在服务器回测，每次最多 1,000 根K线。Start free, with no subscription charge. Sign in to run server backtests of up to 1,000 bars each.