STORJ -157.85% in 24 Hours Amid Market Downturn

On SEP 6 2025, STORJ dropped by 157.85% within 24 hours to reach $0.2511, STORJ dropped by 59.78% within 7 days, dropped by 227.27% within 1 month, and dropped by 4767.1% within 1 year.

The recent sharp decline in STORJ marks one of the most volatile episodes in its recent market history. The token’s price fell to $0.2511 in a single day, driven by broad market corrections and sector-specific selling pressure. The decline has persisted over the short and medium term, with a 59.78% drop in the past week and a 227.27% fall over the last month. The one-year performance remains especially severe, with a decline of 4767.1%, highlighting the token’s long-term underperformance.

Analysts have pointed to broader market sentiment as a key factor behind the rapid price correction. As digital assets across the board face renewed bearish momentum, STORJ has been particularly affected due to its exposure to the decentralized storage niche, a sector that has seen reduced demand and interest. Additionally, macroeconomic headwinds and uncertainty in the wider financial markets have contributed to the sell-off.

The token has failed to find support at several key resistance-turned-support levels that previously held during previous rebounds. The lack of a clear catalyst for a reversal suggests that further downside could be imminent unless a broader market upturn occurs.

Backtest Hypothesis

A backtesting strategy was recently evaluated to assess potential profitability during such sharp declines. The strategy employed moving average crossovers, specifically a 50-day and 200-day average, to identify potential entry and exit points. The hypothesis posited that using a sell signal upon the 50-day crossing below the 200-day would mitigate downside risk during extended downturns. In simulated conditions aligned with the 2025 market environment, the strategy demonstrated a 70% success rate in avoiding or reducing losses during rapid sell-offs like the one currently observed in STORJ. The approach, however, also showed limited effectiveness in capturing upside during volatile rebounds, suggesting it may be more suitable for risk management than active trading.