2Z Drops 32.96% in 24 Hours Amid Sharp Correction

Generated by AI AgentCryptoPulse Alert
Sunday, Oct 12, 2025 12:04 am ET1min read
Aime RobotAime Summary

- 2Z plunged 32.96% in 24 hours on Oct 12, 2025, marking its largest single-day drop since a major correction.

- The token fell 3292.57% weekly and 5936.14% monthly/yearly, revealing a sustained structural bearish trend.

- Technical indicators showed mixed signals: RSI hit oversold levels while MACD remained bearish, with price trading below key moving averages.

- A proposed backtesting strategy combines RSI (25 threshold) and MACD crossovers to identify potential short-term recovery opportunities amid the downturn.

On OCT 12 2025,

dropped by 32.96% within 24 hours to reach $0.0002226, 2Z dropped by 3292.57% within 7 days, dropped by 5936.14% within 1 month, and dropped by 5936.14% within 1 year.

The recent movement in 2Z has drawn attention due to its pronounced decline over multiple timeframes. The 24-hour drop of 32.96% marked the largest single-day decrease since its last major correction, signaling a sharp shift in investor sentiment. Over the past week, the token has continued to fall, with a total loss of 3292.57%. The 1-month and 1-year price movements show a mirror image, each registering a 5936.14% drop, underscoring the structural downward trend in the asset.

Technical indicators have shown mixed signals throughout the decline. While the RSI has moved into oversold territory, reflecting the depth of the selloff, the moving average convergence divergence (MACD) remains in bearish territory, indicating sustained downward momentum. The 50-day and 200-day moving averages have diverged significantly, with the price currently trading well below both, reinforcing the bearish bias.

Backtest Hypothesis

A proposed backtesting strategy for 2Z involves using a combination of RSI and MACD crossovers to identify potential entry and exit points. The RSI is set at a threshold of 25 to capture oversold conditions, while the MACD line crossing above the signal line is used to confirm a potential bullish reversal. The strategy would also incorporate a stop-loss at the 200-day moving average to manage downside risk. Historical data would be used to evaluate the effectiveness of these signals in capturing short-term recoveries during bearish phases like the current one.

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