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Besides market and economic data, good AI trading bots should scan sentiment data. Step 1: Cleaning and normalizing data by filling gaps or excluding incomplete data points to maintain accuracy. Then, it ensures data is in a consistent format (e.g., converting all currency values to USD) and removes random fluctuations in price data to focus on meaningful trends. After collecting raw data, the bot processes it to extract actionable insights. These intelligent systems analyze news articles and social media – pipihosa.com – sentiment related to economic updates, company announcements, and geopolitical events that may influence markets. They also assess and quantify investor sentiment by analyzing keywords, hashtags, and online discussions.