Intuitive Code offers a range of AI analytics datasets, each designed to meet specific analytical needs and provide users with varying levels of depth in market and stock analysis. This document outlines the parameters available within each dataset, helping users understand the insights and data provided at each level.
1. Basic Analytics Dataset
The Basic Analytics Dataset provides foundational information on a company, offering an overview of essential data points:
- Company Name: Text value indicating the name of the company.
- Ticker: Text value representing the stock ticker symbol of the company.
- Company Risk Profile: A proprietary ranking and text value that categorizes the company's risk level.
2. Standard Analytics Dataset
Building upon the Basic Dataset, the Standard Analytics Dataset includes additional proprietary rankings and explanations for critical parameters. This dataset provides more in-depth analysis suitable for standard-level insights:
- Company Risk-Profile Explanation: Text value explaining the proprietary risk profile assigned to the company.
- IP (Investment Priority): A proprietary ranking value that prioritizes the investment based on Intuitive Code's analysis, along with an accompanying explanation in text format.
- PT (Price Target): Numeric value indicating the price target, along with a text explanation.
- RP (Resistance Pivot): Numeric value representing the resistance pivot, with an explanatory text.
- R (Rating): Proprietary ranking value accompanied by a text explanation.
- STT (Short-Term Trend): Directional value with a text explanation of the company’s short-term trend.
- SL (Stop Loss): Percentage value indicating the recommended stop loss for the stock.
3. Advanced Analytics Dataset
The Advanced Analytics Dataset includes all parameters from the Standard Dataset and introduces additional midterm and trend-focused metrics. This dataset is designed for more sophisticated analysis:
- MTT (Mid-Term Trend): Directional value with a text explanation describing the company's mid-term trend.
- TS (Trailing Stop): Numeric value indicating the trailing stop level, with an accompanying explanation.
- BCS (Best-Case Scenario): Numeric value describing the best-case scenario for the company’s stock, plus a text explanation.
- WCS (Worst-Case Scenario): Numeric value for the worst-case scenario, along with an explanatory text.
- LD (Smart Fraud Status): Numeric value indicating the likelihood of fraudulent behavior or other high-risk activities associated with the company, along with an explanatory text.
4. QMI AI Analytics Dataset
The QMI AI Analytics Dataset includes all elements of the Advanced Dataset and adds proprietary metrics focused on competitive advantage and uniqueness, providing a comprehensive overview for strategic decision-making:
- Uniqueness (U): Proprietary ranking value with an explanation, detailing what makes the company unique within its industry or market.
- Competitive Advantage (CA): Text value describing the company’s competitive advantage in its sector.
5. Exclusive Analytics Datasets
Intuitive Code offers several exclusive datasets with highly specialized analytics for users seeking advanced insights beyond standard metrics. These datasets are geared towards high-level geopolitical, fundamental, and sentiment analysis.
- Armada’s Geopolitical & Fundamental Analysis Parameters: Provides unique insights into the geopolitical and fundamental factors impacting the company or sector.
- Vieira’s 3DM Index: A proprietary index that Vieira developed for advanced multi-dimensional market analysis, which encompasses both positive and negative momentum indicators.
- Yue’s Sentiment Analysis Parameters: Specialized parameters for understanding market sentiment through advanced sentiment analysis techniques.
- Rao’s Parameters: Customized parameters based on Rao's proprietary analytics for unique data perspectives.
- Perelman’s Stability Analysis Parameters: Rooted in Perelman's Stability Theorem and concepts in Ricci flow and geometric topology, these parameters support predictive modeling in finance, data integrity and error correction, enhanced machine learning algorithms, network optimization, and risk assessment in portfolio management. By applying stability concepts, they provide robust insights into system resilience, fraud detection, algorithm robustness, and market behavior under varied conditions.
Each dataset is designed to cater to different levels of analysis, from basic overviews to exclusive, in-depth insights. Selecting the right dataset helps users leverage Intuitive Code's AI capabilities to align with their unique investment needs and goals.