Beginner's Guide to Oracle AI Analytics with the Interactive AI Analyst

Note: Currently, Oracle AI does not offer an Interactive AI Analyst for real-time, conversational engagement. Oracle AI is accessible only through chat-based AI agents that allow users to query analytics for stocks in a structured format. However, if future versions include an Interactive AI Analyst with full conversational capabilities, the guidelines provided in this document will apply.

This article serves as a guide for accessing Oracle AI Analytics through the Interactive AI Analyst. This manual specifically covers the use of a conversational AI analyst, rather than standard AI agents that offer pre-generated reports for stocks included in your plan.

Key Differences Between Standard AI Agents and Interactive AI Analysts

Standard AI agents empower users to choose tickers instantly, providing comprehensive reports on individual stocks. The Interactive AI Analyst, on the other hand, offers a dynamic experience that allows for real-time, conversational interactions without ticker-based navigation.

There are two types of Interactive AI Analysts:

  1. Chat-Based Analyst: Engages via text in a chat interface.

  2. Conversational Analyst: Supports natural, voice-driven interactions, enabling a more personal experience as though speaking to a live analyst.

This manual focuses on the Conversational Analyst for Oracle AI Analytics, guiding you through effective interaction methods to retrieve stock-specific analytics.

Available Parameters for Query with the Interactive AI Analyst

With the Interactive AI Analyst, you can query various stock-specific analytics using either the company name or ticker symbol. Below is a list of available parameters along with example queries to help you get started.

Stock-Specific Parameters

  1. Stock Risk Profile

    • Query: “What is the risk profile for [Company Name]?”

    • Explanation: “Explain the risk profile for [Company Name].”


  2. Stock Price Target (PT)

    • Query: “What is the price target for [Ticker]?”

    • Explanation: “Explain the price target for [Ticker].”

    • Status Check: “Has the price target been reached for [Ticker]?”


  3. Support Price (SP)

    • Query: “What is the support price for [Company Name]?”

    • Explanation: “Explain the support price for [Company Name].”


  4. Resistance Price (RP)

    • Query: “What is the resistance price for [Ticker]?”

    • Explanation: “Explain the resistance price for [Ticker].”


  5. Stock Rating (R)

    • Query: “What is the rating for [Ticker]?”

    • Explanation: “Explain the rating for [Ticker].”


  6. Investment Priority (IP)

    • Query: “What is the investment priority for [Company Name]?”

    • Explanation: “Explain the investment priority for [Company Name].”


  7. Short-Term Trend (STT) Direction

    • Query: “What is the short-term trend direction for [Ticker]?”

    • Explanation: “Explain the short-term trend for [Ticker].”

Best Practices for Using the Interactive AI Analyst

  • Ask Specific Questions: Use precise queries based on the parameters above to receive clear, targeted answers.

  • Request Explanations: For further context, follow up with explanation requests for any parameter to deepen your understanding.

  • Use Tickers or Full Company Names: Ensure accuracy by using either the company’s full name or ticker symbol.

The Interactive AI Analyst provides a comprehensive, user-friendly experience, allowing you to make the most of Oracle AI Analytics. By following these guidelines, you can effectively leverage the AI analyst to gain valuable insights into your investments.