# Livsun (@L1vsun) on x

- id: koinon:creator:x_l1vsun
- url: https://koinonlink.com/kol/x/L1vsun
- schema_version: 1.4

## Identity
- platform: x
- handle: L1vsun
- platform_url: https://twitter.com/L1vsun
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2908
- following: 173
- posts_total: 3165
- posts_observed: 3
- posts_per_day: 1.075
- account_age_days: 2945
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.01238
- best_post_interactions: 36
- 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: order flow vs price action, quant trading concepts, retail trading pitfalls
- bio: US Entrepreneur × Quant Trading × Finance Tech

For collab & business - https://t.co/xMWDJHA6co

DM me "Quant" for my unique Quant Course

## Audience (inferred)
- status: present
- description: quant traders and finance professionals focused on order flow analysis
- roles: none
- seniority: practitioner
- pain_points: retail traders relying on lagging price charts, lack of access to real order flow data, decades of ineffective retail trading education
- posts_analysed: 1
- confidence: 0.4

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

## Quality signals
- authenticity_score: 77
- authenticity_basis: engagement_observed
- credibility_score: 77
- 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_l1vsun#809bccf0] price is a lagging indicator of order flow - retail has been trading the lag for 30 years every chart you've ever read is downstream of what actually moved price quants don't analyze price, they analyze order flow imbalance that's the real-time gap between aggressive buyers and s (https://twitter.com/L1vsun/status/2030297162584560062)

## 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=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=80, 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=80, 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=80, 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: 80
- audience_updated_days_ago: 76

## 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_l1vsun
- Request removal: https://koinonlink.com/claim?k=x_l1vsun
- Terms: https://koinonlink.com/for-ai