market-signal-fusion
Adaptive-language stock-analysis skill that interprets macro and political news, fuses it with retail/social sentiment, applies quantified value fallback rules, and outputs machine-readable stock ideas with valuation and technical plans.
Best for stock screeningWorks with GitHubLow risk
⌘source
- author
@LeoYeAI- language
- Python
★2kstars
306forks
May 6, 2026
✦overview.md
Key Features
- ·Interprets macro/political news for equities
- ·Analyzes retail/social sentiment
- ·Fuses news and sentiment for candidate stocks
- ·Estimates buy/sell/risk ranges
- ·Adds short-term technical plans
Use Cases
- →A trader wants stock ideas based on recent political developments
- →An investor seeks to combine Reddit sentiment with value screening
- →A quant needs machine-readable stock analysis with confidence scores
Best for
- ✓stock screening
- ✓sentiment-driven trading
- ✓quantamental research
Not ideal for
- !long-term fundamental analysis
- !options pricing
- !crypto markets
FAQs
name
market-signal-fusion
description
Adaptive-language stock-analysis skill that interprets macro and political news, fuses it with retail/social sentiment, applies quantified value fallback rules, and outputs machine-readable stock ideas with valuation and technical plans.
homepage:https://clawhub.com
user-invocable:true
disable-model-invocation:false
metadata:{"openclaw":{"emoji":"📈"}}
Market Signal Fusion
Use this skill when the user wants stock analysis driven by macro/political news + market sentiment + value screening + technical timing.
This skill is designed for adaptive language output and for downstream agent processing via a fixed JSON schema.
What this skill does
This skill runs a five-stage workflow:
- Interpret recent political/economic/news catalysts that matter for equities.
- Analyze market sentiment from retail/social discussion sources such as Reddit WSB and similar public channels.
- Fuse step 1 and step 2 to identify candidate sectors and stocks.
- Perform quantamental analysis and estimate buy / sell / risk ranges.
- Add a short-term technical plan for entries, exits, and invalidation.
This version also adds three functional upgrades:
- a structured WSB / retail sentiment data-module contract
- a market regime detector to control style bias and sector weighting
- confidence gates + reason codes so decisions are auditable and degrade gracefully when data is incomplete
If tools are available, prefer real market data and recent sources. Do not invent numbers.
$install
1-click copynpx skills add LeoYeAI/openclaw-master-skills --skill market-signal-fusionSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
3/ 5
goodMostly clear, but there are still a few confusing or poorly structured parts.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
4/ 5
highMostly actionable with clear steps; only a few small gaps remain.