OPEN plunged by 3855.64% over the past year during the market downturn

On September 15, 2025, OPEN experienced a staggering decrease of 1198.6% in a single day, bringing its value down to $0.8816. Over the course of a week, the price tumbled by 1535.66%, and by the end of one month, the decline reached 3855.64%. This same percentage drop was recorded over the past year as well.

OPEN underwent a rapid and severe devaluation, making it one of the most notable downturns observed in the recent market landscape. The asset’s price collapse unfolded over several timeframes, starting with a 1198.6% loss in just 24 hours. The downward momentum persisted, resulting in a 1535.66% drop within seven days. By month’s end, OPEN had shed 3855.64% of its value—a decline mirrored over the annual period.

This intense price volatility, absent any clear triggers, has attracted significant attention from both investors and traders. Experts suggest the dramatic fall is likely due to a mix of wider market corrections and factors unique to the asset itself, though a specific cause remains elusive. The scale of the losses, especially over the monthly and yearly periods, points to a possible fundamental change rather than a short-lived fluctuation.

The swift downturn has led to increased scrutiny of OPEN’s basic value and whether its price path is sustainable. The market has yet to pinpoint a decisive explanation, but the situation suggests that investor sentiment and tolerance for risk may be shifting. As a result, technical analysis tools used to monitor the asset’s price have become central to understanding the root of the decline.

OPEN’s dramatic movement has prompted renewed focus on technical indicators as key tools for tracking and interpreting similar market shifts. Analysts and traders are applying various technical measures to gain insights into the asset’s patterns and to spot where reversals might occur.

Backtesting Approach

One suggested method involves backtesting OPEN’s performance with a suite of technical indicators intended to catch early warning signs of corrections. This approach combines moving averages, the Relative Strength Index (RSI), and MACD to highlight divergences and pinpoint periods of overbought or oversold conditions before sharp price changes. The hypothesis proposes that using these tools together could have provided early alerts about the steep decline, giving market participants a predictive advantage. The strategy’s purpose is to identify critical turning points in OPEN’s price history and evaluate how well these indicators anticipated the onset and scale of the drop. If proven effective, these signals could become essential in future market evaluations.