IOTX Drops 416.67% in 24 Hours Amid Sharp Market Downturn

Generated by AI AgentAinvest Crypto Movers Radar
Monday, Sep 8, 2025 3:41 pm ET1min read
Aime RobotAime Summary

- IOTX plummeted 416.67% in 24 hours, with similar declines over 7 days and 1153.85% monthly, marking one of crypto's sharpest crashes.

- The token's 4390.24% annual drop highlights severe liquidity issues and eroding investor confidence in its long-term viability.

- Analysts warn further losses are likely without fundamental improvements or broader market stabilization, as bearish trends persist.

- A backtesting strategy using moving averages and RSI aims to identify early warning signals for such extreme volatility events.

On SEP 8 2025, IOTX dropped by 416.67% within 24 hours to reach $2.3E-7, IOTX dropped by 416.67% within 7 days, dropped by 1153.85% within 1 month, and dropped by 4390.24% within 1 year.

The token has experienced one of the most precipitous declines in recent history, with its price plummeting across multiple timeframes. Over the past 24 hours alone, IOTX shed more than 416% of its value, a movement that signals a severe loss of liquidity or investor confidence. The trajectory continued in the following week, with the same percentage decline recorded, reinforcing the token’s deteriorating market sentiment.

From a broader perspective, IOTX has lost 1153.85% of its value over the past month, which is a continuation of a sharp bearish trend that has persisted for several weeks. The annual performance, with a 4390.24% drop, highlights the token’s long-term struggles in sustaining value or attracting institutional or retail interest. Analysts project that unless IOTX’s fundamentals improve significantly or the broader market stabilizes, further losses are likely.

Backtest Hypothesis

Given the dramatic price movement, a backtesting strategy was devised to evaluate potential signals in the token’s performance. The hypothesis centers on identifying short-term technical indicators that may have flagged the downturn before it became pronounced. The backtest assumes the use of moving averages and RSI (Relative Strength Index) as primary tools, with a focus on detecting overbought or oversold conditions. The strategy is designed to simulate a sell-off trigger when key indicators cross below critical thresholds, aiming to mitigate further losses in a volatile environment.

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