Analysis Methodology
This page explains the analytical framework at a high level while protecting proprietary signal parameters.
Data and frequency
The service uses adjusted historical market prices and evaluates signals on weekly candles. Adjusted data helps account for events such as splits and distributions.
Signal A
Signal A tracks statistically unusual lower-price conditions together with market prerequisites. Price proximity describes distance to the tracked zone; it is not a probability of profit.
Standard deviation in Signal A
Signal A uses standard-deviation-based statistical price zones with market prerequisites to identify unusually low weekly price conditions. It does not publish the proprietary lookback period or thresholds. A high proximity value is not a profit probability or a buy instruction, and prices can remain below a statistical range during a prolonged decline.
Signal B
Signal B combines multiple momentum and oversold observations into a single met or not-met result. Individual internal thresholds are not published.
Historical outcomes
Returns are measured from the signal reference price across fixed horizons. We also summarize maximum gains and time to peak. Samples whose full horizon has not elapsed are identified separately.
Limitations
Historical relationships can change. Data delays, corrections, market structure and leveraged ETF path dependency may affect results.