# Daniel Holmes Trades (@danielholmestrades) on tiktok

- id: koinon:creator:tiktok_danielholmestrades
- url: https://koinonlink.com/kol/tiktok/danielholmestrades
- schema_version: 1.2

## Identity
- platform: tiktok
- handle: danielholmestrades
- platform_url: https://www.tiktok.com/@danielholmestrades
- website: https://danielholmestrades.com
- country: United Arab Emirates
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 204556
- following: 165
- posts_observed: 1
- verified: false
- size_tier: kol

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- 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: 0.95
- category_source: derived_from_recent_content
- topics: Break and retest strategy, Higher timeframe analysis, Risk management and RR ratios, Breakout and counter-trend trading, Personal trading journey and quitting job stories
- bio: ⬇️ Become a profitable trader

## Audience (inferred)
- status: present
- description: Aspiring retail traders and beginners seeking to learn forex trading strategies and risk management
- roles: none
- seniority: learner
- pain_points: Struggling to identify reliable entry points like break and retest or wicks, Managing risk and drawdowns without blowing accounts, Calculating proper risk-reward ratios and position sizing, Transitioning from 9-5 job to full-time trading profitability
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.2
- promotion_intent: 0.3
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: profile_shape_only
- credibility_score: 58
- 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
- [tiktok_danielholmestrades#819c2b3f] Higher timeframe confluence #trading (https://www.tiktok.com/@danielholmestrades)
- [tiktok_danielholmestrades#319e72e2] original sound - danielholmestrades
- [tiktok_danielholmestrades#6dcf369a] It is a becoming a big trend on TikTok now! Click here: trading
- [tiktok_danielholmestrades#cc9f3d69] Check out Daniel Holmes Trades’s video! #TikTok >
- [tiktok_danielholmestrades#6b7e645e] Search:
- [tiktok_danielholmestrades#d82dd5be] how to do i1 to 2 ratio reward in tradeing
- [tiktok_danielholmestrades#f385335f] Break & retest #trading
- [tiktok_danielholmestrades#26488cd9] Chasing Cities (Slowed + Reverb)

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, 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=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=24, 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=0.25, freshness_days=0, 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=24, 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=24, method=platform_profile

## Freshness
- profile_checked_days_ago: 24
- content_analysed_days_ago: 0
- audience_updated_days_ago: 0

## AI retrieval
- indexing_requests: 1
- 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=tiktok_danielholmestrades
- Request removal: https://koinonlink.com/claim?k=tiktok_danielholmestrades
- Terms: https://koinonlink.com/for-ai