MITO falls by 119.59% in 24 hours during significant market swings and correction

On September 20, 2025,

experienced a dramatic decrease of 119.59% in just 24 hours, falling to $0.2402. Over the previous seven days, MITO was down by 592.85%, whereas it had gained 385.78% in the past month and surged 856.37% over the last year.

This abrupt and sizeable drop in MITO's price within a single day likely points to a rapid market correction or reversal after a period of considerable growth. While the asset displayed strong gains in both the past month and year, the sharp decline over 24 hours highlights the high volatility often seen in digital currencies, especially those on steep upward trends. The decline does not appear to be triggered by major project developments, governance news, or macroeconomic changes, but is instead likely the result of swift profit-taking or algorithm-driven selloffs.

MITO's seven-day performance adds to its daily losses, showing a 592.85% drop in the past week. Such a steep downturn is unusual given its robust growth over the previous month, which suggests that the upward momentum may have run out. As the asset retreats significantly from its recent peaks, market participants are closely observing for any indication of stabilization or whether the downward trend will persist.

Technical analysis currently signals a bearish trend for MITO, with important support levels being tested. The latest price action shows a break below previous resistance points and a growing sense of caution among traders. Although the long-term fundamentals have not shifted, the immediate outlook is overshadowed by this intense sell-off, which could put further pressure on lower support levels soon.

Backtest Hypothesis

The proposed backtesting plan is designed to assess historical price action and identify key triggers for MITO's volatility by examining its price alongside trading volume and on-chain metrics. This approach uses both the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD), calibrated to spot early signals of momentum loss and potential reversals. The objective is to simulate how this strategy would have performed in anticipating or limiting the recent sharp declines seen over 24 hours and the past week.