What is PulseGrid™?
PulseGrid™ is an event-driven financial intelligence platform designed to help investors, analysts, and researchers understand how real-world events, from geopolitical shifts to macroeconomic data releases, impact financial instruments.
Core Philosophy
Traditional financial analysis focuses primarily on price history and fundamental metrics. PulseGrid™ adds a critical missing layer: event attribution. The platform continuously ingests global events, categorizes them by type and severity, and computes a proprietary PG Composite Score™ that quantifies the net directional pressure on each tracked instrument.
What PulseGrid™ Is NOT
PulseGrid™ is not a trading platform, brokerage, or financial advisor. It does not execute trades, manage real money, or provide personalized investment advice. It is an analytical tool that surfaces event-driven signals to inform your own research process.
Key Capabilities
| Capability | Description |
|---|---|
| PG Composite Scoring™ | Multi-factor score combining event impact, exposure, sentiment, market confirmation, and macro compatibility |
| Event Intelligence | Automated ingestion and categorization of geopolitical, economic, and market events |
| Portfolio Analysis | Optimization, sleeve management, and risk decomposition across multiple strategies |
| Backtesting & Replay | Validate the scoring algorithm against historical data to measure predictive accuracy |
| Monte Carlo Simulation | Probabilistic modeling of portfolio outcomes under various scenarios |
| Market Signal (OSINT) | AI/LLM-powered consensus signal from multiple reputable financial sources, compared against PG Signal for divergence analysis |
| Alert System | Configurable rules with multi-channel delivery (in-app, webhook, owner notification) |
| Macro Dashboard | FRED economic indicator tracking with macro compatibility scoring |
| Collaboration | Workspaces for team-based research with activity feeds and resource sharing |
How to Read This Documentation
Each section of this wiki covers a specific feature or concept. Look for:
- "How to Interpret" sections that explain what output values mean in practical terms
- "Benchmark / Range" callouts that provide reference points for evaluating whether a value is good, bad, or neutral
- Related sections links at the bottom of each page for deeper exploration