# Pankaj Parekh (@DhanValue) on x

- id: koinon:creator:x_dhanvalue
- url: https://koinonlink.com/kol/x/DhanValue
- schema_version: 1.4

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

## Reach
- followers: 147080
- following: 12
- posts_total: 11484
- posts_observed: 3
- posts_per_day: 3.749
- account_age_days: 3063
- verified: true
- size_tier: kol

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00041
- best_post_interactions: 60
- 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: Stock market analysis, Indian equities and lifetime highs, Data-driven investing research, Market risks and volatility
- bio: Avid Reader | Data-Driven Research & Analysis | SEBI Unregistered | Let Data Speak Louder Than Words | Sharing insights freely for better investing.

## Audience (inferred)
- status: present
- description: Indian retail investors seeking data-driven stock analysis and market insights
- roles: none
- seniority: consumer
- pain_points: Sudden stock crashes despite strong fundamentals, Identifying safe defensive stocks amid volatility, Water scarcity and poor resource management in India
- posts_analysed: 3
- confidence: 0.4

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

## Quality signals
- authenticity_score: 64
- authenticity_basis: engagement_observed
- credibility_score: 99
- 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_dhanvalue#550bbd3a] Strong fundamentals. Strong charts. Strong conviction. None of them guarantee safety. Just one negative development can send a market darling from soaring highs to a brutal fall. In today's unpredictable world, diversification isn't a weakness—it's capital protection. (https://twitter.com/DhanValue/status/2056926577272012857)
- [x_dhanvalue#dd26d564] Every year, India is hit by floods. Billions of litres of precious freshwater are allowed to flow into the sea. Just months later, the same country declares drought. People struggle for drinking water, farmers are pushed into distress, and the economy pays the price. This is not 
- [x_dhanvalue#8a57b398] 💥21 Stocks Scale New Lifetime Highs! Pharma Continues to Shine as Investors Seek Defensive Bets. 💠KIMS 💠Cupid 💠Laurus Labs 💠JB Chemicals 💠Granules India 💠Afco

## 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=117, 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=117, 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=117, method=platform_profile

## Freshness
- profile_checked_days_ago: 117
- content_analysed_days_ago: 111
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 11
- 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_dhanvalue
- Request removal: https://koinonlink.com/claim?k=x_dhanvalue
- Terms: https://koinonlink.com/for-ai