Multi-Dimensional Stock Analysis Engine
This platform aggregates multiple data streams—price feeds, insider trading records, fundamental metrics,
technical indicators, and social sentiment—into a unified analysis framework. Each stock receives a
computational score derived from quantitative factors and qualitative AI assessment, updated on
independent schedules based on data volatility and API costs.
AI-Generated Analysis
Deep investment analysis generated using xAI Grok, examining business models,
financial health, competitive positioning, and risk factors across multiple dimensions.
Modular Data Architecture
Each analysis component operates independently with its own update cycle—from
daily price data to weekly AI assessments—optimizing for currency and cost efficiency.
Composite Scoring System
Algorithmic investment score combining valuation metrics, momentum indicators,
sentiment analysis, and insider activity into a single-number assessment.
What Gets Tracked & Analyzed
Every ticker is scored across eight dimensions — from price momentum and insider activity to technical signals and AI-generated analysis — all rolled up into a single overall investment score.
A Research Tool, Not Financial Advice
This platform serves as a data aggregation and analysis layer for investors conducting their own research.
The AI outputs reflect patterns in training data and may not account for breaking events, black swan scenarios,
or market irrationality. Scores are computational constructs, not predictions of future performance.
What This Platform Is Not
• Not a recommendation service or investment advisor
• Not real-time market data (updates occur on daily+ schedules)
• Not a substitute for professional financial guidance
• Not validated for regulatory compliance or fiduciary use
• Not responsible for investment decisions or outcomes
Use Case: This platform is designed for technically-minded investors
who want aggregated data and AI-generated perspectives as one input among many in their research process.
All analysis represents computational outputs based on available data at the time of generation.
