Shiba Inu or any other cryptocurrency using AI involves analyzing vast amounts of historical data

Some AI models and platforms use machine learning algorithms to provide forecasts based on past performance and market indicators. These predictions often consider:

1. Historical Price Data: Trends and patterns from past price movements.

2. Trading Volume: Changes in the amount of trading activity.

3. Market Sentiment: Analysis of social media, news, and overall sentiment towards the coin.

4. Technical Indicators: Metrics like moving averages, relative strength index (RSI), and other chart patterns.

5. External Factors: Influences like regulatory changes, macroeconomic conditions, and technological advancements.

It's important to remember that while AI can provide insights, its predictions are not