Analytics & Data Interpretation

Beginner's Guide to Intuitive Code's Real-Time AI Analytics Dashboard

This article provides a step-by-step guide to help you make the most of Intuitive Code’s Real-time AI Analytics Dashboard. It includes best practices for using the real-time dashboard and the interactive AI analyst, helping you maximize Intuitive Code's AI-driven analysis for trading.

Real-time AI Analytics Dashboard vs. Interactive AI Analyst

The Real-time AI Analytics Dashboard and the Interactive AI Analyst work together to offer a complete AI analytics experience:

  • Real-time Updates: The dashboard provides up-to-the-minute values for each stock parameter, making it especially valuable for monitoring high-volatility stocks. The Interactive AI Analyst may reflect these changes later, typically after the market closes.

  • Complementary Roles: The dashboard shows the latest analytics values, while the Interactive AI Analyst can offer explanations and deeper context for these values. For instance, you can use the analyst to ask, “Why is the rating for [Company X] neutral?” or “What’s the reason for the trailing stop at [Value] for [Company X]?”

  • Accessing Real-time Changes: For real-time stock analytics updates, log into the app to stay current with market movements.

Using these tools together, you can monitor real-time changes on the dashboard and then follow up with specific queries through the Interactive AI Analyst.

How to Use the Real-time AI Analytics Dashboard

Below is an overview of the dashboard’s main structure, displaying labeled color codes to help you quickly interpret the status and required actions for each parameter.

Dashboard Label Guide

  1. Red Label: Indicates a recent change in a parameter’s value for a specific asset. Follow up on these values to assess potential impacts or necessary actions.

  2. Green Label: Confirms that a parameter’s value for a specific asset is validated and should be taken as a reference in your analysis.

  3. Blue Label: Highlights a parameter value that requires immediate action. Refer to the Real-time AI Trading Signals Dashboard for further details on recommended actions for the selected asset.

  4. Orange Label: Indicates a parameter value under review. Additional data is required to confirm its status; once confirmed, it will change to a green label.

Best Practices for Maximizing the Dashboard’s Value

  1. Monitor Intraday Updates: Regularly check the dashboard throughout the trading day to stay on top of intraday changes in stock analytics, especially for high-volatility stocks.

  2. Use the Interactive AI Analyst for Explanations: When you notice a value change on the dashboard, use the Interactive AI Analyst to gain context. This approach ensures you understand the rationale behind parameter updates.

  3. Stay Logged In: Ensure you’re logged into the app for real-time visibility of stock analytics updates.

By following these guidelines, you can maximize the potential of Intuitive Code’s Real-time AI Analytics Dashboard and gain a strategic edge in managing and analyzing high-volatility stocks.