# TENET RESEARCH (@tenet_research) on x

- id: koinon:creator:x_tenet_research
- url: https://koinonlink.com/kol/x/tenet_research
- schema_version: 1.4

## Identity
- platform: x
- handle: tenet_research
- platform_url: https://twitter.com/tenet_research
- website: https://www.tenetresearch.ai/
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 452234
- following: 15
- posts_total: 49184
- posts_observed: 3
- posts_per_day: 12.666
- account_age_days: 3883
- verified: true
- size_tier: kol

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0
- best_post_interactions: 1
- 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: Trading psychology under pressure, Risk management principles, Live chart analysis webinars, AI-powered stock market research for retail investors
- bio: Providing Investment & Stock Market Research  AI Platform for Retail Investors Part of https://t.co/VdB8kOSXsf

## Audience (inferred)
- status: present
- description: Retail investors focused on stock trading, seeking education on psychology, risk management, and chart analysis via webinars and AI research tools
- roles: consumer
- seniority: consumer
- pain_points: Making poor decisions under trading pressure and emotional stress, Failing to manage downside risk leading to significant losses, Lack of access to live expert chart walkthroughs and practical trading insights
- posts_analysed: 3
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.5
- promotion_intent: 0.4
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: engagement_observed
- credibility_score: 93
- 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_tenet_research#25b89912] Trading success isn't determined by strategy alone—it's shaped by the decisions you make under pressure. In this webinar, @ripster47 explores the psychology behind disciplined trading, helping you overcome emotional decision-making, build confidence, and stay committed to your tr (https://twitter.com/tenet_research)
- [x_tenet_research#e24d6a49] One principle @ripster47 has always emphasized is simple: Manage your downside first. The upside will take care of itself. This webinar dives into the risk management framework behind disciplined trading—from defining your risk before entry to building consistency through structu
- [x_tenet_research#4e61289e] What if you could watch an expert walk through live cha

## 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=111, 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=111, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=111, 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=111, 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=111, 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=111, method=platform_profile

## Freshness
- profile_checked_days_ago: 111
- content_analysed_days_ago: 111
- audience_updated_days_ago: 76

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