# Anthony Wang (@wang_1x) on x

- id: koinon:creator:x_wang_1x
- url: https://koinonlink.com/kol/x/wang_1x
- schema_version: 1.4

## Identity
- platform: x
- handle: wang_1x
- platform_url: https://twitter.com/wang_1x
- website: http://linktr.ee/wang_1x
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 6691
- following: 796
- posts_total: 29489
- posts_observed: 5
- posts_per_day: 6.298
- account_age_days: 4682
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00045
- best_post_interactions: 3
- 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: crypto
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Web3 token economics, Liquidity and volatility in crypto markets, Gamma risk and implied volatility, Smart contract design and trust models
- bio: CIO, PM @Liquid_Capital_ | NFA

## Audience (inferred)
- status: present
- description: Web3 investors and crypto traders, primarily institutional and advanced retail traders focused on token valuation, liquidity dynamics, and risk modeling
- roles: data
- seniority: practitioner
- pain_points: Struggling to distinguish real token fundamentals from hype-driven price movements, Finding it hard to assess true liquidity and risk in Web3 markets due to thin order books and misleading volatility, Overexposed to gamma risk from narrative-driven trading in governance tokens, Confused by the misapplication of traditional software paradigms to smart contracts
- posts_analysed: 4
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.4
- promotion_intent: 0.2
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 63
- authenticity_basis: engagement_observed
- credibility_score: 78
- 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_wang_1x#fe53e5f5] Most web3 tokens are just OTM calls with zero gamma. Retail buys the premium while insiders hold the underlying. Stop pricing hype as fundamental value. The skew is brutal. 📉 https://t.co/ECHtLXLI71 (https://twitter.com/wang_1x/status/2042613515337265217)
- [x_wang_1x#ea27277f] Web3 liquidity is thinner than it looks. Implied vol spikes on minor headlines because order books are hollow. Stop chasing narratives and watch the skew. The market prices fear, not tech roadmaps.
- [x_wang_1x#9e92ea78] Web3 liquidity is thin, but the implied vol on governance tokens is thick. Everyone’s long gamma on narrative shifts while ignoring the skew. Positioning suggests a violent mean reversion is priced in, just not timed right. Stop buying the hype cycle.
- [x_wang_1x#18a9d3bd] Web3 isn't about replacing servers. It’s about shifting trust from corporations to code. Most devs still treat smart contracts like traditional APIs, which is a recipe for disaster. We need to stop building web2 logic on-chain and start desig

## 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=79, 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=79, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=110, 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=79, 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=110, 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=110, method=platform_profile

## Freshness
- profile_checked_days_ago: 110
- content_analysed_days_ago: 79
- audience_updated_days_ago: 21

## AI retrieval
- indexing_requests: 9
- 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_wang_1x
- Request removal: https://koinonlink.com/claim?k=x_wang_1x
- Terms: https://koinonlink.com/for-ai