macro-intelligence

Aggregate and classify macroeconomic news into sentiment-rated trading signals.

12|64|Updated Mar 17, 2026

Search Tags:#ai #finance #signals #news #sentiment #macro

Ready to run

npx skills add https://github.com/okx/plugin-store --skill macro-intelligence

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: macro-intelligence
Source: https://github.com/okx/plugin-store/tree/main/skills/macro-intelligence
Command: npx skills add https://github.com/okx/plugin-store --skill macro-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires websockets.

What problem does it solve?

The skill eliminates the need to manually monitor multiple macroeconomic data sources by automatically aggregating news, market indicators, and prediction markets into a unified, classified signal feed.

Core Features & Use Cases

Multi-source aggregation: Pulls data from NewsNow, Polymarket, Telegram, OpenNews, Finnhub, and FRED.
AI-enhanced classification: Uses regex, rule‑based, and optional Anthropic LLM analysis to label events and sentiment.
Signal API & Dashboard: Exposes clean JSON signals and a realtime web UI for downstream trading bots or analysts.
Use case: A DeFi trader can query the API for bullish RWA signals in the past six hours to inform strategy decisions.

Quick Start

Ask the macro‑intelligence skill to start the dashboard and display the latest macro signals.

Frequently Asked Questions about macro-intelligence

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

FAQPage Schema

How do I aggregate macroeconomic news and market signals into a single feed?▼

You can aggregate macroeconomic news and market signals by pulling data from sources like NewsNow, Polymarket, Telegram, Finnhub, and FRED into a unified, classified feed for trading strategies.

How does AI sentiment classification work for real-time market news?▼

AI sentiment classification for market news processes aggregated feeds using regex, rule-based logic, and optional Anthropic LLM analysis to label events and generate sentiment-rated signals.

Do I need API keys to aggregate macroeconomic data from FRED and Finnhub?▼

Yes, you need API keys for OpenNews, Finnhub, and FRED to aggregate macroeconomic data. Optional Anthropic LLM access is also available for enhanced AI classification.

Can I use Python to build a real-time signal API and dashboard for trading?▼

Yes, you can build a real-time signal API and dashboard using Python 3.9+ and websockets, exposing clean JSON signals and a web UI for downstream trading bots or analysts.

What is the best way to filter bullish RWA signals from prediction markets?▼

The best way to filter bullish RWA signals is by querying the signal API for classified, sentiment-rated events from prediction markets and Telegram groups over a specific timeframe.

Why use websockets for a macroeconomic intelligence feed?▼

Websockets enable the macroeconomic intelligence feed to push real-time market news and sentiment-rated signals to a realtime web UI or downstream trading bot without manual polling.