digital-oracle

Quantifies macroeconomic and geopolitical risks from market data into probabilistic forecasts.

Updated May 7, 2026
One-click install
npx skills add https://github.com/zeng740307/digital-oracle --skill digital-oracle-zeng740307
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: digital-oracle
Source: https://github.com/zeng740307/digital-oracle/tree/main
Command: npx skills add https://github.com/zeng740307/digital-oracle --skill digital-oracle-zeng740307

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to estimate the likelihood of complex geopolitical, economic, and market events solely based on market prices and trading signals.

Core Features & Use Cases

  • Multi-Source Data Integration: Fetches adverse market signals from prediction markets, commodities, stocks, options, derivatives, and macro data sources.
  • Probabilistic Forecasting: Synthesizes signals to produce structured probability scenarios with clear reasoning chains.
  • Use Case: A trader asks, "What's the risk of a recession in 2026?" The Skill consolidates yield curves, asset prices, and institutional data to quantify the event probability.

Quick Start

Request the Skill to analyze macroeconomic trends using current finance data to produce a probability estimate and scenario analysis.

Frequently Asked Questions about digital-oracle

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I forecast market probabilities using price signals?

To forecast market probabilities using price signals, the Skill analyzes quantitative data from prediction markets, commodities, options, and derivatives to synthesize structured probabilistic scenarios with clear reasoning chains.

Can I estimate macroeconomic recession risk solely from financial market data?

You can estimate macroeconomic recession risk by consolidating yield curves, asset prices, and institutional data exclusively from financial markets, intentionally avoiding subjective opinions and news reports.

What is probabilistic forecasting for geopolitical and economic events?

Probabilistic forecasting for geopolitical events is the process of compiling adverse market signals from multiple authoritative datasets to quantify event likelihoods tailored for trading and risk management.

Does this market analysis approach require external news reports to generate predictions?

This market analysis approach does not require external news reports, as it cross-validates multiple independent financial datasets to ensure high reliability and provide interpretative insights.

What are the limitations of using price data for macro risk prediction modeling?

A limitation of using price data for prediction modeling is its strict dependence on financial market signals, meaning it cannot incorporate subjective geopolitical context or breaking news outside market pricing.

How do I start a probability scenario analysis for trading risk management?

To start a probability scenario analysis for trading, request the Skill to analyze macroeconomic trends using current finance data to produce a structured probability estimate and scenario breakdown.