edge-hint-extractor

Extract edge hints from market observations and news reactions.

1|Updated Feb 18, 2026

Search Tags:#market analysis #trading insights #edge hint extraction #news reaction analysis #LLM ideation

Ready to run

npx skills add https://github.com/darkounus90/BOTTX3 --skill edge-hint-extractor-darkounus90

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: edge-hint-extractor
Source: https://github.com/darkounus90/BOTTX3/tree/main/.agents/skills/edge-hint-extractor
Command: npx skills add https://github.com/darkounus90/BOTTX3 --skill edge-hint-extractor-darkounus90

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the extraction of edge hints from market observations and news reactions, streamlining the process of generating actionable insights for trading strategies.

Core Features & Use Cases

Market Data Analysis: Extracts structured edge hints from daily market observations.
News Reaction Analysis: Incorporates news reactions to refine hints.
Optional LLM Ideation: Enhances hints with ideas generated by an external Language Learning Model (LLM).
Use Case: For a trader looking to identify potential trading opportunities, this Skill can process market data and news to generate a list of actionable hints that can inform trading decisions.

Quick Start

Run the script to generate edge hints from the provided market summary and news reactions data.

Frequently Asked Questions about edge-hint-extractor

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

FAQPage Schema

How do I extract trading edge hints from market data and news reactions?▼

Extracting trading edge hints from market data requires processing daily market observations and news reactions. The script analyzes this input to generate structured, actionable insights for trading strategy development and risk management.

What is edge hint extraction in trading strategy development?▼

Edge hint extraction in trading strategy development is the process of identifying actionable market insights from raw observations and news reactions. It transforms unstructured market data into structured hints to inform trading decisions and manage risk.

Can I use LLM ideation to enhance market analysis hints?▼

Yes, you can enhance market analysis hints through optional LLM ideation. By integrating an external LLM CLI or a pre-written hints file, the script augments extracted market observations with generated ideas for deeper trading insights.

Do I need Python and PyYAML to automate news reaction analysis?▼

Yes, automating news reaction analysis requires Python 3.9 or higher and the PyYAML library. These dependencies are necessary to run the scripts that process market observations and generate structured edge hints.

How do I generate trading insights from a pre-written hints file?▼

To generate trading insights from a pre-written hints file, run the extraction script with your market summary and news reactions data. The script processes these inputs to output structured edge hints for trading decisions.

Are there limitations when using external LLM CLI for market observation analysis?▼

Using an external LLM CLI for market observation analysis is optional and requires your own external setup. Without it, the script still processes market data and news reactions using your pre-written hints file to generate trading insights.