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KMNO - -90.86% 24H Drop Amid Volatile Market Conditions

KMNO - -90.86% 24H Drop Amid Volatile Market Conditions

ainvest2025/08/29 02:13
By: CryptoPulse Alert
KMNO-7.62%
- KMNO plummeted 90.86% in 24 hours to $0.05827, reflecting intense liquidity pressure and shifting market sentiment. - A 563.27% drop over seven days and 946.12% annual decline highlight structural market shifts and macroeconomic headwinds. - A 1102.57% monthly surge drew investors, but bearish momentum persisted, prompting a backtesting strategy using moving averages and RSI for trade opportunities. - Technical indicators confirmed oversold conditions, with key support levels unrecaptured, reinforcing ca

On AUG 28 2025, KMNO dropped by 90.86% within 24 hours to reach $0.05827, KMNO dropped by 563.27% within 7 days, rose by 1102.57% within 1 month, and dropped by 946.12% within 1 year.

A sharp sell-off in KMNO occurred overnight, with the asset witnessing a dramatic 90.86% price drop within a 24-hour period. The decline, which brought the price down to $0.05827, reflects intense liquidity pressure and a sudden shift in market sentiment. The move was not an isolated incident; over the past seven days, KMNO had already dropped 563.27%, signaling a broader trend of investor exit from the asset.

The price action over the past month, however, reveals a more complex narrative. From a low point earlier this month, KMNO had surged by 1102.57%, illustrating a rapid reversal in fortunes that had drawn in retail and institutional investors alike. This sharp rebound, while impressive, did not hold against the long-term bearish trend, which has seen the asset fall by 946.12% over the past 12 months. Analysts have attributed the broader decline to structural market shifts and macroeconomic headwinds, though no single event appears to have triggered the recent selloff.

Technical indicators have largely confirmed the bearish momentum. The Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) both showed oversold conditions, indicating a lack of upward traction and continued distribution by holders. The asset’s price has been unable to reclaim key support levels, further reinforcing a cautious outlook among traders.

Backtest Hypothesis

Given the recent price action, a backtesting strategy was outlined to evaluate potential entry and exit scenarios based on historical price movements and technical indicators. The strategy focused on a combination of moving averages and RSI levels to identify trade opportunities. Historical data was segmented into time frames reflecting the asset’s volatile nature, with particular attention paid to periods of rapid price correction and recovery.

The proposed strategy involved entering long positions during rebounds from key support levels and short positions during overbought conditions. A trailing stop-loss mechanism was also incorporated to manage risk during rapid directional moves. While the backtest period did not include the most recent 24-hour selloff, it was designed to be robust in volatile environments.

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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