Research should show
the inconvenient results.
ReplyOpsAI is an independent automated-trading lab. We build systems, run forward PAPER experiments and preserve favorable and unfavorable outcomes under explicit version labels.
What we publish
Experiment configuration, system versions, closed and open trade counts, realized PAPER PnL, failures and material strategy changes. The evidence mode is shown next to the result rather than buried in a disclaimer.
What we do not claim
A small winning sample does not establish a durable edge. A profitable backtest does not establish forward profitability. PAPER execution does not establish live performance. Each stage answers a narrower question.
Infrastructure isolation
Trading systems and the public website run on separate infrastructure. Exchange credentials and bot-control interfaces are not exposed to the website. A sanitized metrics feed is the bridge between the research environment and public pages.
Version history is evidence
When a strategy or model changes materially, the previous result remains attached to the previous version. We do not merge a redesign into the old record and present the combined history as one unchanged system.
What our metrics mean
How to read a small sample
Early results are operational evidence, not statistical proof. A handful of trades can reveal broken exits, excessive overlap or infrastructure problems, but it cannot establish stable profitability. We therefore show trade counts next to performance and keep collecting forward observations.