Methodology page
This page explains how AlgoTradingAI evaluates signal quality without relying on fake blanket win-rate claims. The focus is on setup quality, process discipline, and clear review standards.
The methodology looks at whether the setup stayed valid, whether the stop-loss framing behaved as expected, and whether the trader followed the process with discipline. That is more useful than reducing everything to a single number.
It does not flatten every instrument, timeframe, or market regime into one platform-wide percentage. That kind of number is easy to market and difficult to trust.
Accuracy claims are easy to oversimplify. A dedicated methodology page makes it clearer how setups are reviewed, what is included in that review, and what is intentionally left out.
Because methodology and results are different things. This page explains the framework, while the validation page shows how that framework is applied.
No. It explains the evaluation framework, not a guaranteed result or a universal performance promise.
Open the trade-accuracy validation page, the paper-trading examples page, and the public stock pages that show live market context.