SHIB Falls by 0.78% as Network Security Enhancements and Market Fluctuations Continue
- SHIB dropped 0.78% on Nov 2, 2025, amid broader market corrections and a 52.22% annual decline despite short-term gains. - Shiba Inu announced Shibarium's RPC migration and security upgrades to enhance decentralization after a September validator key breach. - Technical analysis shows SHIB trading near RSI neutrality with the 200-day moving average as key support amid network upgrades. - A backtest evaluating price impacts failed due to "division by zero" errors in historical data, requiring filtered dat
As of November 2, 2025,
The
Following this incident, the Plasma Bridge for BONE was reinstated, and new security measures were introduced, including a seven-day withdrawal waiting period and a blacklist feature to deter malicious actions. These improvements are intended to foster greater trust and stability within the ecosystem.
Technical analysis for the backtest utilized moving averages and the relative strength index (RSI) to evaluate short-term price swings and the strength of trends. These indicators help pinpoint potential reversal zones and determine if SHIB is currently overbought or oversold. For example, the RSI has hovered near the midpoint, while the 200-day moving average remains a crucial support level. Such metrics are essential for analyzing SHIB’s price trends amid network upgrades and shifting market dynamics.
Backtest Hypothesis
A backtest was conducted to analyze how the recent Shibarium RPC migration and associated security improvements affected SHIB’s price. However, the process was halted due to a “division by zero” error, which usually happens when price data for a specific event date is missing or recorded as zero. The most likely explanation is that the first month in the event timeline (probably January 2022) does not have a valid closing price from the previous month, resulting in a division by zero during the return calculation.
It’s also possible that one or two following months have zero closing prices, further complicating the analysis. To address this, the event timeline can be revised to include only those months that meet certain requirements: the monthly close must show at least a 10% decrease from the previous month, and the previous month’s close must be above zero. This approach would automatically filter out problematic months like January 2022 and any others with invalid data. After cleaning the data, the backtest can be rerun to better understand how these upgrades have influenced SHIB’s price movements.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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