# Faka 🇧🇷🇧🇷🇮🇱🇺🇸🇱🇧 (@opropriofaka) on x

- id: koinon:creator:x_opropriofaka
- url: https://koinonlink.com/kol/x/opropriofaka
- schema_version: 1.4

## Identity
- platform: x
- handle: opropriofaka
- platform_url: https://twitter.com/opropriofaka
- website: https://linktr.ee/oofaka
- country: Brazil
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 353485
- following: 5748
- posts_total: 37998
- posts_observed: 2
- posts_per_day: 14.722
- account_age_days: 2581
- verified: true
- size_tier: kol

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00013
- best_post_interactions: 45
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- 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: 0.9
- category_source: derived_from_recent_content
- topics: Macroeconomic analysis, Stock market technicals, Tech sector investing, Market timing, Investor liquidity strategies
- bio: Otávio Fakhoury, empresário, investidor e ex-executivo de mercado financeiro.

## Audience (inferred)
- status: present
- description: Finance professionals and investors interested in macroeconomic trends and stock market movements, particularly in tech and emerging markets
- roles: ads
- seniority: practitioner
- pain_points: Struggling to interpret real-time market signals and technical patterns in high-volatility stocks, Finding it hard to time exits and liquidity events in fast-moving tech equities, Lacking access to timely, expert-driven macroeconomic analysis for investment decisions
- posts_analysed: 5
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.5
- promotion_intent: 0.3
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 64
- authenticity_basis: engagement_observed
- credibility_score: 99
- 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
- [x_opropriofaka#dcd2e97e] Agora sim! O convidado chegou! @bmusa na área! (https://twitter.com/opropriofaka/status/2072368547997606183)
- [x_opropriofaka#8ea17309] Giro do Mercado — Episódio 2 -- Bruno Musa @bmusa, Economista da Escola Austríaca - Para onde vai a economia global? Com @luizferoxo https://t.co/8jdJQt7S96
- [x_opropriofaka#e7f901c0] 👀
- [x_opropriofaka#84cc5b62] Começando daqui a pouco, as 20:30 hrs, aqui pelo meu X, e tbém pelo YT do prof. @luizferoxo, o segundo episódio do nosso podcast, o Giro do Mercado, com o grande @bmusa. Não percam! https://t.co/yFjARyhBN8
- [x_opropriofaka#b14e3826] Exit liquidity.
- [x_opropriofaka#af1fc9f6] Atualização 6: Novamente na hora da verdade. A ação da Micron Technology $MU, apos segurar no suporte e fazer nova máxima, ainda no processo de throw-over (climax run), agora volta para dentro do canal que havia rompido e novamente temos uma hora da verdade. Se a partir de agora 

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

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=112, 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=112, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=112, 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=0.5, freshness_days=112, 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=112, 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=112, method=platform_profile

## Freshness
- profile_checked_days_ago: 112
- content_analysed_days_ago: 112
- audience_updated_days_ago: 21

## AI retrieval
- indexing_requests: 12
- 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=x_opropriofaka
- Request removal: https://koinonlink.com/claim?k=x_opropriofaka
- Terms: https://koinonlink.com/for-ai