LISTA -3476.77% in 1 Year Amid Market Turmoil

On SEP 1 2025, LISTA dropped by 63.31% within 24 hours to reach $0.2651, LISTA dropped by 194.78% within 7 days, dropped by 63.31% within 1 month, and dropped by 3476.77% within 1 year.

The sharp decline in LISTA has drawn attention to its recent liquidity constraints and structural weaknesses. Despite initial optimism surrounding its tokenomics and use cases, the token has failed to sustain positive momentum, with its value plummeting across multiple time frames. The 24-hour decline of 63.31% signals acute market distress, while the 194.78% drop over seven days indicates a broader loss of confidence among traders and long-term investors alike.

Analyzing the technical indicators, the token has failed to hold key support levels, leading to cascading sell-offs. The absence of a clear bullish reversal pattern has exacerbated the downward trend, reinforcing the bearish sentiment in the market. As a result, major on-chain metrics such as net inflow and active address counts have sharply declined, further signaling weak demand and participation in the ecosystem.

LISTA’s performance also highlights the broader risks associated with volatile assets that lack strong fundamentals or institutional backing. The 1-year decline of 3476.77% underscores the need for more robust governance and market psychology management in digital assets. Market participants are now scrutinizing the token’s fundamentals and roadmap, with many questioning its viability in the current market environment.

Backtest Hypothesis

To gauge the potential impact of such a dramatic drop on a portfolio or strategy, a backtest could be constructed around event-driven triggers—such as a 10% decline in a single day. This would allow analysts to model how such a price movement could affect portfolio performance and risk exposure. The hypothesis would examine whether specific post-decline behaviors—such as rebounds, continued declines, or sideways consolidation—are predictive of future returns. Additionally, it would test the effectiveness of pre-defined risk management rules, such as stop-loss levels or holding periods, in limiting downside.