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On AUG 31 2025, COW dropped by 127.26% within 24 hours to reach $0.3396, COW dropped by 449.47% within 7 days, dropped by 313.59% within 1 month, and dropped by 6255.05% within 1 year.
The steep decline in COW's price over the past 24 hours signals a sharp market reaction to recent events. The asset fell nearly two-thirds in a single trading day, suggesting heightened bearish sentiment. Analysts project further downward pressure in the near term if the current trend persists. The price has now retreated to levels last seen over a year ago, marking a dramatic reversal from previous bull cycles.
Technical analysis of COW reveals that the asset is trading below key moving averages, including the 50-day and 200-day lines, which typically signal bearish momentum. The relative strength index (RSI) has fallen into the oversold territory, but historically, this has not yet been enough to trigger a reversal in the current bearish environment. Volume has not shown significant spikes, indicating a lack of buying interest to counter the downward movement.
COW’s price action has drawn attention from traders and investors due to its historically significant drawdown. The asset is now well off its highs from previous years, with no sign of stabilizing in the short term. Analysts note that while the RSI suggests potential for a temporary bounce, the broader trend remains firmly downward, with no major support levels in sight that could halt the decline.
Backtest Hypothesis
A potential backtesting strategy for COW involves using RSI and moving average crossovers to identify entry and exit points. The approach would typically look for an RSI rebound from oversold levels coupled with a long-term moving average crossover to the upside as a potential entry signal. Exit points would be triggered when RSI returns to neutral territory and the price breaks key resistance levels. However, given the current bearish momentum, the strategy would need to be adapted for short-term bearish bias, using RSI divergence and bearish moving average crossovers to signal potential shorting opportunities. Historical performance of such a strategy would depend on the accuracy of the indicators in the current market environment.
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