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EthanAlgoX
EthanAlgoXCOMMUNITY
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market-discovery

Synthesize market prices, news, sentiment, volume, and sector momentum into scored opportunity lists.

65|9|Updated Jan 29, 2026
Search Tags:#sentiment#opportunity-scoring#investment-research#fund-flow#market-scan#market-discovery#sector-momentum
One-click install
npx skills add https://github.com/EthanAlgoX/MarketBot --skill market-discovery
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: market-discovery
Source: https://github.com/EthanAlgoX/MarketBot/tree/main/marketbot/skills/market-discovery
Command: npx skills add https://github.com/EthanAlgoX/MarketBot --skill market-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Market discovery automates the time-consuming process of scanning markets, news, sentiment, volume, and sector momentum to find actionable investment ideas, so users do not have to manually correlate disparate signals across data sources.

Core Features & Use Cases

  • Multi-source market scan: Detect abnormal price moves and volume spikes across sectors and asset classes.
  • Event and news matching: Link price anomalies to catalysts found in market news and events.
  • Sentiment and flow analysis: Incorporate social and news sentiment shifts and fund flow/ETF volume evidence.
  • Sector momentum & scoring: Aggregate breadth and momentum signals into a normalized opportunity_score and filter by threshold (score >= 0.70).
  • Dual outputs: Human-readable Markdown report for chat and structured JSON for API consumption or integration with other skills.
  • Use case: Run daily scheduled scans to surface industry themes (e.g., AI computing), prioritize tickers, and push a summarized opportunity report to a notification channel.

Quick Start

Discover current high-scoring market opportunities and return a market opportunity report with scores, type classifications, supporting reasons, and related assets.

Frequently Asked Questions about market-discovery

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

FAQPage Schema
How do I automate market scanning for high-conviction investment opportunities?▼

Automated market discovery scans global equities, crypto, commodities, and ETFs by synthesizing prices, news, sentiment, volume, and sector momentum. It outputs a scored opportunity list (0.0–1.0) with type classifications and supporting reasons, filtering for items with a score >= 0.70.

What is the best way to link abnormal price moves to market news catalysts?▼

Linking abnormal price moves to catalysts requires event and news matching alongside sentiment and fund flow analysis. This process detects volume spikes and correlates them with market news events to produce a scored, actionable investment list with supporting reasons.

Can I use market discovery for scheduled daily scans across multiple asset classes?▼

Yes, market discovery supports scheduled daily scans across global equities, crypto, commodities, and ETFs. It aggregates breadth and momentum signals into a normalized score, returning both a Markdown report for chat and structured JSON for API integration.

Does the opportunity scoring system filter out low-probability trades?▼

The opportunity scoring system filters low-probability trades by applying a strict threshold, including only items with a score >= 0.70. It aggregates sector momentum, sentiment shifts, and volume evidence to normalize scores from 0.0 to 1.0.

How do I integrate market opportunity reports with other skills or APIs?▼

Integration is handled via dual outputs: a human-readable Markdown report for chat and structured JSON for API consumption. This allows the scored opportunity list, type classifications, and related assets to flow directly into other skills or notification channels.

What data sources are needed for sector momentum and sentiment analysis?▼

Sector momentum and sentiment analysis require inputs from market prices, news events, social sentiment, and fund flow or ETF volume. The system synthesizes these disparate data sources to detect abnormal moves and generate supporting reasons for high-conviction opportunities.

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