OPEN has dropped by 6078.87% so far this year, experiencing significant declines both recently and over the longer term.

On September 26, 2025, OPEN experienced a sharp 560.21% drop in value within a single day, falling to $0.5632. Over the course of a week, the token plummeted by 4202.12%, and over the past month and year, it has seen a decline of 6078.87%.

OPEN’s latest price movement demonstrates a significant downturn over several periods. The token’s value fell by 560.21% in just one day, followed by a 4202.12% decrease over the last seven days. This downward momentum intensified, resulting in a 6078.87% loss in the past month, which is consistent with its annual performance. The magnitude of this correction has drawn considerable attention from both investors and digital asset market analysts.

This pronounced drop is believed to be the result of shifting market sentiment and broader trends within the industry. Experts suggest that the absence of recent project updates or progress may have undermined investor confidence and contributed to liquidity leaving the market. Although there have been no official explanations for the decline, the ongoing trend points to a persistent bearish outlook.

From a technical analysis standpoint, the price has broken through several important support levels, and there are currently no indications of a reversal. Technical indicators, including moving averages and the relative strength index (RSI), reveal that the asset is deeply oversold, but the market has yet to show any signs of recovery. Without a clear trigger for a turnaround, the overall trend remains negative across all timeframes.

To address the sharp downturn, a backtest hypothesis was formulated to evaluate potential strategies for reducing risk or managing exposure. This hypothesis involved testing a systematic exit approach based on specific price points and trend signals, with the goal of finding the best exit opportunities during the decline. While the backtest results are not included here, the strategy aims to determine whether predefined indicators can help navigate periods of extreme market volatility.