SHIB Value Rises 0.2% as Market Fluctuates and Privacy Coins See Movement

As of NOV 1 2025,

increased by 0.2% over the past 24 hours, reaching $0.00001002. This comes even as the token experienced a 3.27% decrease in the last week and a significant 52.55% loss over the past year. SHIB continues to show mixed results, mirroring the overall volatility seen in the cryptocurrency sector. Although (ZEC) and Monero (XMR) have recently overtaken SHIB in terms of market capitalization, the token’s short-term uptick suggests renewed speculative activity, particularly after its slight 0.2% gain for the month.

SHIB’s latest price movements have largely been influenced by broader market trends. The token has found it difficult to sustain upward momentum over the long term, with a notable decline over the past year. Still, the modest increases over the last day and month point to some optimism among individual investors. Experts highlight that SHIB’s price is often driven more by overall

token enthusiasm and trading activity spurred by social media, rather than underlying fundamentals. In this light, SHIB’s recent price bump seems to be a short-lived rally rather than the start of a lasting trend.

Common technical tools used in SHIB trading include moving averages, the RSI, and volume metrics. Traders typically seek confirmation of bullish or bearish trends following a single-day price move of 5% or more. These indicators help identify possible entry and exit points for short-term or event-driven trading strategies. However, the reliability of these tools depends on having accurate and complete historical price records—missing or incorrect data can skew the results of statistical models.

Backtest Hypothesis

To evaluate the potential success of a trading approach based on SHIB’s daily price jumps of 5% or more, a backtesting method was suggested. This approach involves purchasing SHIB on days when it rises at least 5% from the previous close, holding the position for up to 10 days, and applying a 10% stop-loss along with a 20% take-profit. The objective is to determine how often this strategy would result in gains.

However, the initial backtest faced two main problems. First, the backtesting tool did not properly align the historical price data with the test parameters, likely due to a formatting or data connection issue. Second, an event-driven analysis (which examines performance after each qualifying price increase) failed because of missing or zero price values in the data, causing a division-by-zero error.

To move forward, the dataset needs to be cleaned by eliminating or forward-filling zero-value entries, ensuring the system can accurately calculate returns. Once this is addressed, the event-based analysis can be repeated, and if the results are promising, a full strategy backtest can follow. This process will provide clearer insights into SHIB’s behavior after price surges and whether a 5% move is a reliable indicator for profitable trades.