ONT +136.49% in 24 Hours Amid Volatile Short-Term Rebound

On SEP 2 2025, ONT rose by 136.49% within 24 hours to reach $0.1866, ONT dropped by 1120.2% within 7 days, dropped by 375.17% within 1 month, and dropped by 3862.55% within 1 year.

The sharp 24-hour price surge follows a series of on-chain developments and market reactions to recent network upgrades. ONT, the native token of the Ontology platform, saw a dramatic short-term rebound despite a broader bearish trend across the cryptocurrency market in recent weeks. The price action suggests a potential accumulation phase amid ongoing uncertainty in the sector. The 24-hour movement was driven by increased on-chain activity and a surge in wallet interactions, which analysts attribute to renewed interest in decentralized identity and data verification tools tied to Ontology’s ecosystem.

The technical indicators paint a complex picture of the token’s performance. While the 7-day and 30-day price declines reflect the broader industry slump and investor caution, the 24-hour reversal has sparked renewed interest in the token's short-term potential. Moving averages and RSI readings show signs of exhaustion in the downward trend, suggesting the possibility of a temporary stabilization or even a bullish reversal pattern forming.

Backtest Hypothesis

Based on the recent price behavior and the nature of ONT’s market profile, a backtesting strategy has been proposed to evaluate the token's performance under simulated market conditions. The strategy is built around a set of predefined rules that monitor technical indicators such as the 50-period and 200-period moving averages, as well as the RSI, to determine entry and exit points. The core premise is that short-term divergences and trend-line breaks may offer actionable signals for traders who are willing to tolerate high volatility.

The backtest assumes a long-only approach with stop-loss and take-profit levels based on historical volatility readings. The model evaluates the strategy's viability in the context of ONT’s recent volatility, testing the effectiveness of timing trades based on these key technical triggers. The results of the backtest will help in determining whether the observed price rebound could be leveraged in a systematic trading approach.