# NÜME🤠🧲($OUTLAW) (@numeisme) on x

- id: koinon:creator:x_numeisme
- url: https://koinonlink.com/kol/x/numeisme
- schema_version: 1.4

## Identity
- platform: x
- handle: numeisme
- platform_url: https://twitter.com/numeisme
- website: https://www.outlaw.games/
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 3793
- following: 3321
- posts_total: 5193
- posts_observed: 3
- posts_per_day: 0.938
- account_age_days: 5537
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00448
- best_post_interactions: 17
- 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: 0.98
- category_source: derived_from_recent_content
- topics: QQQ/SPY intraday moves and V-shaped recoveries, Earnings plays (PLTR, AMD), Options and calls trading, Trading psychology and rule adherence, Short bias mistakes
- bio: CEO @OutlawGameFi. 
Bitcoin for Gamers = $OUTLAW 
Play Games. Earn Crypto.
Onboard 1 Billion Normies.

## Audience (inferred)
- status: present
- description: Retail day traders focused on US tech stocks, indices and options
- roles: none
- seniority: practitioner
- pain_points: Revenge trading against the trend and breaking rules, Getting shaken out by noise from multiple tickers like SPY, Incorrect directional bias on earnings or macro moves, Missing easy targets after key levels are broken
- posts_analysed: 8
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 61
- authenticity_basis: engagement_observed
- credibility_score: 61
- flagged_for_review: false
- koinon_bd_grade: A — 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_numeisme#e165aea8] V shaped recovery, bullish wedge forming? https://t.co/FMKgqjAERd (https://twitter.com/numeisme/status/2059003397463065046)
- [x_numeisme#7c2883a9] Today's short bias on $qqq was wrong. Lesson learned.
- [x_numeisme#84d6adb3] Today $QQQ was a pump pump I incorrectly guessed pump dump
- [x_numeisme#feaa45fb] Lesson is if KOSPI was green, big earnings PLTR was green, don't have a big short thesis for today. Focus on the longs. Holding $spcx and $amd calls into earnings. Revenge trade? Yes.
- [x_numeisme#cdc67fa7] Plan should've been 709 to 713, V shaped recovery Lesson: once it crossed 709, 713 was easy target https://t.co/lWR4n5Omlu
- [x_numeisme#f51437db] Tried to short before 10am to revenge trade, went against trend, didn't follow rules down $1300 https://t.co/AlrJ1jSLxH
- [x_numeisme#0e020de8] Dump didn't happen, PLTR had strong earnings V shaped recovery in play Should've just longed at 709 to 713
- [x_numeisme#a9e70b48] Watching SPY was distracting; went long on QQQ but a little dip on SPY shook me out down 315

## 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=78, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=78, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=78, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=78, 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=78, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=108, 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=78, 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=108, 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=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 78
- audience_updated_days_ago: 78

## AI retrieval
- indexing_requests: 13
- 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_numeisme
- Request removal: https://koinonlink.com/claim?k=x_numeisme
- Terms: https://koinonlink.com/for-ai