CGPT -1434.98% 7-Day Drop Amid Sharp Correction

On SEP 1 2025, CGPT dropped by 316.86% within 24 hours to reach $0.0862, CGPT dropped by 1434.98% within 7 days, dropped by 316.86% within 1 month, and dropped by 6411.46% within 1 year.

The recent performance of CGPT reflects a dramatic and prolonged bearish trend. Over the past year, the asset has seen a staggering decline of over 6400%, signaling a severe loss of market value and investor confidence. The 7-day drop of 1434.98% is particularly alarming, highlighting a rapid deterioration in sentiment and liquidity, likely driven by broader market dynamics and asset-specific factors.

The 24-hour drop of 316.86%, while significant, is consistent with the extended downward trajectory, suggesting that CGPT is currently embedded in a deep structural bear market. The magnitude of these declines points to potential challenges such as poor fundamentals, regulatory scrutiny, or a loss of narrative momentum, though no official explanations have been cited in the compiled news.

Technical indicators have historically been used to assess the sustainability of such sharp declines. In CGPT’s case, the absence of a recovery pattern or a bottoming formation suggests a continuation of bearish momentum. Traders and analysts are observing whether the asset will stabilize or face further sell-offs in the near term.

Backtest Hypothesis

Historical price data has not yet been successfully retrieved for CGPT due to symbol-related challenges in the data pull. The system is currently unable to identify the “–10% drop dates” for the asset because the symbol could not be located. To proceed with a backtesting analysis, the following clarifications are required:

1. The exact asset symbol must be confirmed, including the full ticker and exchange or venue details, if applicable.
2. The asset type must be identified—whether CGPT is a listed equity, a crypto token, or another asset class.

Once this information is confirmed, the price series can be retrieved, and a backtesting framework can be applied to analyze historical performance, particularly around instances of significant daily declines. This process will help assess how the asset has behaved under similar stress scenarios, and whether any patterns or correlations can be derived for strategic insights.