TOWNS has dropped by 3101.45% over the past year during a period of significant market turbulence and a pronounced downward trend

As of September 22, 2025,

plummeted by 1250% in just 24 hours, reaching $0.955. Over the past week, TOWNS fell by 1537.78%, saw a decrease of 592.89% over the last month, and dropped 3101.45% compared to a year ago.

Within the last year, the token has undergone a dramatic and swift decline in price, with the most significant loss taking place during the most recent 24-hour window. The extraordinary 1250% single-day drop stands out, exceeding the declines seen over the previous 7 and 30 days. Although no particular fundamental trigger has been identified for this collapse, the sell-off appears to have intensified negative sentiment and prompted further capital outflows.

Technical analysis has not shown convincing signs of a rebound, as important support levels have been consistently broken. The latest steep fall has left the token deeply oversold on many technical oscillators, though such oversold readings have not historically resulted in recoveries given current market conditions. Experts suggest that any future recovery for the token will depend on meaningful improvements in liquidity and a broader base of market adoption.

TOWNS continues to show no indication of short-term stabilization, as its price keeps dropping below prior support areas without clear signs of a bottom. Analysts are watching for reduced volatility or a possible shift in sentiment, but neither has emerged at this time.

Backtest Hypothesis

A suggested backtesting approach examines how the token has performed historically when measured against selected technical indicators that signal possible buy or sell moments. This methodology employs moving averages, RSI levels, and volume criteria to pinpoint optimal entry and exit timings. The aim of the backtest is to determine if a rule-based system could have lessened losses during the recent downward spiral.

The chosen backtest indicators are geared toward detecting early market fatigue and potential reversal points, such as RSI divergences and crossovers between the 50- and 200-day moving averages. The premise is that applying these criteria retrospectively could have highlighted exit strategies before the steepest declines or suggested entries during temporary price recoveries. However, given the scale and persistence of the recent drop, the overall effectiveness of this strategy is still unclear and will need additional analysis.