llmquant-market-intelligence
Analyze Markets With LLMQuant Data
Market research can become fragmented across macro indicators, sentiment measures, and event markets. This skill routes each question to a focused workflow with dates, data windows, caveats, and portfolio context.
Mit meinem Agent installieren
Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.
Review the Skillstore skill "llmquant-market-intelligence" from https://skillstore.io/skills/llmquant-llmquant-market-intelligence.md and its manifest at https://skillstore.io/api/skills/llmquant-llmquant-market-intelligence/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.
Agent-lesbare Ressourcen
Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.
Testen
„llmquant-market-intelligence“ wird verwendet. Summarize current macro conditions for a diversified equity portfolio.
Erwartetes Ergebnis:
Macro dashboard: rates are tightening, growth data is mixed, and credit is stable. Portfolio impact: duration-sensitive equities face pressure. Data dates and missing observations are listed.
„llmquant-market-intelligence“ wird verwendet. Classify market sentiment using volatility, breadth, and sector rotation.
Erwartetes Ergebnis:
- Regime call: mixed, with medium confidence.
- Volatility signals caution, while breadth remains supportive.
- Sector leadership favors defensive groups.
- The indicators disagree, so position sizing should remain measured.
„llmquant-market-intelligence“ wird verwendet. Compare a prediction-market probability with an options-implied probability.
Erwartetes Ergebnis:
Probability gap: the prediction market assigns a higher event probability than options. The difference may reflect liquidity, settlement terms, timing, or basis risk. No trade is proposed until those factors are verified.
Sicherheitsaudit
SicherAll three static findings are false positives. The flagged backticks are Markdown link syntax on SKILL.md lines 24-26, and no shell execution is evidenced.
Risikofaktoren
⚙️ Externe Befehle (3)
Diesen Bericht teilen & zitieren
Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.
Berichtslink kopieren
https://skillstore.io/skills/llmquant-llmquant-market-intelligence/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown-Badge
[](https://skillstore.io/skills/llmquant-llmquant-market-intelligence?utm_source=security_passport_badge)HTML-Badge
<a href="https://skillstore.io/skills/llmquant-llmquant-market-intelligence?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/llmquant-llmquant-market-intelligence/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Einbettungskarte
<iframe src="https://skillstore.io/embed/skills/llmquant-llmquant-market-intelligence.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Wissenschaftliche Zitate (APA · BibTeX · CFF)
APA-Zitat
llmquant. (2026). llmquant-market-intelligence security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/llmquant-llmquant-market-intelligence/audits/1BibTeX-Zitat
@techreport{llmquant-llmquant-llmquant-market-intelligence-2026,
author = {llmquant},
title = {llmquant-market-intelligence security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/llmquant-llmquant-market-intelligence/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "llmquant-market-intelligence security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "llmquant"
date-released: "2026-09-15"
url: "https://skillstore.io/skills/llmquant-llmquant-market-intelligence/audits/1"
identifiers:
- type: other
value: "skillstore:llmquant-llmquant-market-intelligence:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore-Score
Warum dieser Score Evidenzvertrauen: MittelWas Sie erstellen können
Monitor Macro Conditions
Build a dated dashboard for rates, inflation, liquidity, credit, commodities, currencies, and major risk assets.
Classify Market Sentiment
Combine volatility, breadth, positioning, sector rotation, and price history into a transparent regime assessment.
Compare Event Probabilities
Evaluate prediction-market odds against options-implied probabilities, liquidity, timing, and basis risk.
Diese Prompts ausprobieren
Summarize current macro conditions across rates, inflation, liquidity, credit, commodities, currencies, and major risk assets. Include dates and data sources.
Create a macro dashboard for my watchlist. Show latest value, prior value, historical percentile, observation date, regime interpretation, and the next data to watch.
Classify the market as risk-on, risk-off, neutral, or mixed using sentiment, volatility, breadth, positioning, sector rotation, and price history. Show disagreements and confidence.
Compare the probability of [event] by [date] across prediction markets, options, macro data, and related assets. Check settlement criteria, liquidity, timing, fees, and basis risk before suggesting expressions.
Bewährte Praktiken
- State observation dates, lookback periods, data windows, and stale-data notices.
- Separate observed measurements from interpretation, forecasts, and possible trade expressions.
- Verify event definitions, settlement criteria, liquidity, fees, timing, and basis risk.
Vermeiden
- Do not infer market sentiment from price action alone when breadth or positioning is missing.
- Do not call an arbitrage opportunity when event windows or settlement criteria differ.
- Do not present portfolio recommendations as certain outcomes or omit conflicting indicators.
Häufig gestellte Fragen
What does this skill analyze?
Which data source does it use?
Can it analyze my portfolio?
Does it provide trading advice?
How does it handle stale data?
Can it identify arbitrage?
Entwicklerdetails
Autor
llmquantLizenz
MIT
Skillstore-Revision
r1
Versionshinweis
Der Autor hat keine Version angegeben.
Ref.
d6db045774b382a8e5436d37f32079883ab7f54f
Aktualität der Wartung
15.9.2026
Nutzung
0 Downloads · 0 Aufrufe
Dateistruktur