# Daniel Levi (@invertirconcabeza) on tiktok

- id: koinon:creator:tiktok_invertirconcabeza
- url: https://koinonlink.com/kol/tiktok/invertirconcabeza
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: invertirconcabeza
- platform_url: https://www.tiktok.com/@invertirconcabeza
- country: Argentina
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 286774
- following: 35
- posts_total: 1548
- posts_observed: 3
- verified: false
- size_tier: kol

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: finance
- subcategory: investing
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Inversiones en acciones, CEDears y ETFs, Bonos, ONs y deuda argentina, Finanzas personales y ahorro en contexto local, Análisis de empresas y métricas (beta, EV/EBITDA, etc.), Eventos macroeconómicos y calificaciones de Argentina, Dividendos y estrategias de renta
- bio: Docente, emprendedor, Finance & IT guy.
Ex-corpo (Microsoft, Clorox, Coca-Cola Femsa)
Inversor y daytrader
Asesor (AP) mat. 2175 CNV
🚩 No te mando mensajes 🚩

## Audience (inferred)
- status: present
- description: Argentinian retail investors and individuals focused on personal finance, stocks, CEDears, bonds and local market opportunities
- roles: consumer
- seniority: practitioner
- pain_points: Salarios perdiendo valor real y cómo hacerlos rendir, Riesgo de brokers locales vs. internacionales y transferencias de títulos, Cómo prepararse para correcciones de mercado o escenarios bajistas, Dudas sobre jubilaciones futuras, dividendos altos como señal de riesgo y productos apalancados
- posts_analysed: 76
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.4
- promotion_intent: 0.5
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 66
- authenticity_basis: profile_shape_only
- credibility_score: 66
- flagged_for_review: false
- koinon_bd_grade: C — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [tiktok_invertirconcabeza#95168ec9] Cómo nos preparamos para la próxima corrección del mercado. #finanzaspersonales #inversiones #bolsa #acciones #cedears (https://www.tiktok.com/@invertirconcabeza)
- [tiktok_invertirconcabeza#08139721] original sound - invertirconcabeza
- [tiktok_invertirconcabeza#551c98ef] It is a becoming a big trend on TikTok now! Click here: finanzaspersonales
- [tiktok_invertirconcabeza#3bf0a9d4] Check out Daniel Levi’s video! #TikTok >
- [tiktok_invertirconcabeza#49060ecf] Mis expectativas sobre las jubilaciones futuras en Argentina. ##finanzaspersonales##inversiones##bolsa##renta##ingresos
- [tiktok_invertirconcabeza#c322b81c] La situación financiera de Oracle y los CDS #finanzaspersonales #inversiones #bolsa #acciones #ia
- [tiktok_invertirconcabeza#5a74dadc] El CEO de Anthropic, preocupado. #finanzaspersonales #inversiones #empleo #carrera #salario
- [tiktok_invertirconcabeza#25152534] El apalancamiento y el casi colapso del fondo de Leopold #finanzaspersonales #inversiones #bolsa #acciones #sp500

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=74, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=74, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=74, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=74, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=74, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=92, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=74, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=92, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=92, method=platform_profile

## Freshness
- profile_checked_days_ago: 92
- content_analysed_days_ago: 74
- audience_updated_days_ago: 74

## AI retrieval
- indexing_requests: 10
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=tiktok_invertirconcabeza
- Request removal: https://koinonlink.com/claim?k=tiktok_invertirconcabeza
- Terms: https://koinonlink.com/for-ai