# OurAlpha (@ouralphastock) on x

- id: koinon:creator:x_ouralphastock
- url: https://koinonlink.com/kol/x/ouralphastock
- schema_version: 1.4

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

## Reach
- followers: 643
- following: 90
- posts_total: 3442
- posts_observed: 6
- posts_per_day: 21.648
- account_age_days: 159
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00622
- best_post_interactions: 4
- 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: AI-driven stock analysis, Semiconductor sector performance, Earnings guidance and margin trends in tech stocks, Real-time market reaction to macro data, US tech stock trading strategies
- bio: OurAlpha 是AI 驱动的美股深度研究平台，覆盖七巨头（苹果、微软、谷歌、亚马逊、Meta、英伟达、特斯拉）与热门个股深度分析

TG Channel (捕捉实时美股资讯）：https://t.co/E7Y4zsoBKg
TG Group (美股交流群）：https://t.co/DiByxZvPaO

## Audience (inferred)
- status: present
- description: US stock investors and traders focused on AI-driven tech stocks, especially semiconductor and mega-cap tech equities like Nvidia, Apple, and Microsoft
- roles: data
- seniority: practitioner
- pain_points: Struggling to interpret how macroeconomic data and earnings guidance impact short-term stock movements, Finding it hard to distinguish between real fundamentals and market sentiment in high-volatility tech stocks, Overwhelmed by the speed of real-time market reactions to news and data releases
- posts_analysed: 2
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 49
- authenticity_basis: engagement_observed
- credibility_score: 49
- flagged_for_review: false
- koinon_bd_grade: B — 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_ouralphastock#e8a76753] 巴菲特说AI投机遍地、难觅价值，是7月15日。六天后，韩国海关给出另一个答案：7月前20天半导体出口221.1亿美元，同比增长180.6%，占韩国总出口的四成。当晚美股存储板块集体暴力反弹，这不是情绪修复，更像数据对情绪的一次正面回击。 隔夜费城半导体指数大涨约4%，闪迪收涨超14%，美光涨超12%、市值重新站上1万亿美元，西部数据、希捷、海力士全线跟涨，标普500结束三连跌。而就在此前一个月，这个板块刚从6月下旬的历史高点回撤了约两到三成。 复盘这轮回调会发现一个细节：利空几乎全部来自叙事层面，Meta出租算力被解读成资本开支见顶、DRAM反垄断集体诉 (https://twitter.com/ouralphastock)
- [x_ouralphastock#9a45749d] 补一个细节：这次盘前跳水可能不全是 sell the news。真正被卖的是三季度毛利率指引，65%-67%，较二季度的67.7%明显回落。CFO自

## 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=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, 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: 20

## AI retrieval
- indexing_requests: 8
- 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_ouralphastock
- Request removal: https://koinonlink.com/claim?k=x_ouralphastock
- Terms: https://koinonlink.com/for-ai