C -3881.34% Y/Y Due to Significant Depreciation During Unstable Market Conditions
- C's annual price drop of 3881.34% marks one of the worst declines in digital asset history. - The collapse reflects sustained sell-offs driven by macroeconomic factors and liquidity shifts. - Technical analysis shows bearish divergence and prolonged RSI below 20, indicating weak momentum. - A backtesting strategy using moving averages and volatility thresholds aims to manage risk in the extended downtrend.
On September 12, 2025, the value of C fell dramatically by 153.06% in just 24 hours to hit $9.46. Over the past 7 days, it dropped 1113.51%, with a 1-month decrease of 166.37%, and a staggering 3881.34% decline over the last year.
This significant depreciation reflects an intense and continuous wave of selling across leading exchanges monitoring C, resulting in a steep drop in its price throughout the year. The annual loss of 3881.34% stands out as one of the most pronounced in recent digital asset history, indicating a dramatic change in market sentiment and liquidity conditions. While larger macroeconomic trends are considered the main driver, the plunge has brought increased attention to the asset’s long-term prospects and inherent vulnerabilities.
From a technical perspective, there is a clear bearish divergence between price trends and momentum oscillators, pointing to the possibility of an oversold market or an ongoing downtrend. The daily chart shows the RSI remaining under 20 for an extended stretch, a level generally linked to waning bearish strength. However, the extended length of the decline has weakened the indicator’s typical forecasting reliability, so traders are encouraged to rely on additional signals from on-chain data and broader economic reports.
Backtesting Hypothesis
This backtesting approach centers on blending moving averages with volatility benchmarks to pinpoint likely entry and exit opportunities during the persistent downtrend. The main method incorporates a crossover between the 50-day and 200-day moving averages, enhanced by a volatility filter based on a 20-day standard deviation. A sell alert is generated when the 50-day moving average dips below the 200-day line and the price breaches a volatility-adjusted support.
The underlying assumption is that such signals would have detected critical turning points over the past year, giving traders a chance to reduce their risk before the biggest losses occurred. The strategy also utilizes a trailing stop-loss to secure profits or minimize losses as the negative trend continues. While these tools are not intended to reverse the overall direction, they offer a systematic and disciplined way to manage trades in a prolonged bear market.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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