CGPT -358.54% in 24 Hours Amid Sharp Volatility and Technical Divergence

On SEP 3 2025, CGPT dropped by 158.54% within 24 hours to reach $0.0857, CGPT dropped by 253.62% within 7 days, rose by 228.14% within 1 month, and dropped by 6209.49% within 1 year.

The recent price action of CGPT has drawn attention due to its extreme volatility and diverging technical indicators. Over the past 24 hours, CGPT experienced a sharp decline, with the price collapsing by nearly 159% to settle at $0.0857. While this short-term drop is severe, the 30-day performance tells a different story—CGPT rose by 228.14% over that period, indicating a strong recovery from earlier losses.

Technical indicators suggest a market in flux. The RSI has moved into oversold territory, while the MACD line has crossed below the signal line, signaling bearish momentum. The price remains below both the 50-day and 200-day moving averages, suggesting a lack of strong support from longer-term trends. Traders and analysts are watching closely for a potential reversal or continuation of the downward spiral.

Despite the recent volatility, the broader technical setup reveals a market struggling to find direction. On the one hand, the 30-day rally suggests the asset is still in a phase of consolidation following a major correction. On the other hand, the one-year performance of -6209.49% highlights the long-term bearish trend and challenges any immediate optimism. Analysts project continued uncertainty until CGPT breaks decisively above key resistance levels or confirms a new trend with clear volume validation.

Backtest Hypothesis

In evaluating potential trading signals, a backtesting strategy was proposed based on the interplay of RSI, MACD, and moving average crossovers. The model was designed to enter a short position when RSI crossed below 30 and MACD showed a bearish crossover, while the price remained below the 200-day moving average. A long position was triggered when RSI exceeded 70 and the MACD turned bullish, with the price above the 50-day moving average. The strategy also included stop-loss and take-profit levels based on the ATR indicator to manage risk and reward.

The approach was tested using historical data from the past 12 months, with the expectation of identifying high-probability setups in the absence of strong directional bias. Initial results indicated a mixed performance, with a high number of false signals during the sharp 30-day rebound, which may have invalidated some short-biased entries. The strategy performed better during periods of consolidation and clearer trend formation. These results suggest that while the technical indicators are useful, additional filters or time-based constraints may be required to refine trade entry conditions.