# Mahesh Darekar (@MaheshDarekar11) on x

- id: koinon:creator:x_maheshdarekar11
- url: https://koinonlink.com/kol/x/MaheshDarekar11
- schema_version: 1.4

## Identity
- platform: x
- handle: MaheshDarekar11
- platform_url: https://twitter.com/MaheshDarekar11
- website: http://www.maheshdarekar.com
- country: India
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 677
- following: 69
- posts_total: 1209
- posts_observed: 7
- posts_per_day: 0.388
- account_age_days: 3114
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00591
- 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: Options selling strategies, Price action analysis, Risk management in trading, Trading psychology, Market manipulation signals, Institutional trading behavior
- bio: Technical Analyst | Ex-HSBC
NISM Series XV Certified
Full-time Options Seller

Helping traders understand:
• Price action
• Risk management
• Trading psychology

## Audience (inferred)
- status: present
- description: Indian retail traders and aspiring options sellers focused on technical analysis and market psychology
- roles: ads
- seniority: practitioner
- pain_points: Struggling to interpret complex market movements like Nifty's closing at 24774, Confused by technical indicators such as CAS and their impact on option selling, Frustrated by lack of clear explanations for institutional behavior like FII short covering, Unable to consistently profit from options selling due to unclear risk management strategies
- posts_analysed: 5
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.1
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 66
- authenticity_basis: engagement_observed
- credibility_score: 66
- 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_maheshdarekar11#3683b7a9] 💰 Dividend Explained in 60 seconds! https://t.co/xAGwptsB9X #StockMarket #Investing #ShareMarket #StockMarketIndia #PersonalFinance #FinancialEducation #Dividend #InvestingForBeginners #WealthBuilding #MarketWithMahesh (https://twitter.com/MaheshDarekar11)
- [x_maheshdarekar11#b278e1ea] CAS scared the Call sellers. 😅 GIFT Nifty is scaring the Put sellers. 📉📈 Don't worry—by tomorrow, both sides may be staring at zero. 😄 Long live option sellers! ⚡️ #NIFTY #market #stock
- [x_maheshdarekar11#9194ebe4] Good sign! 📈 FIIs reduced their net Index Futures short positions from 197,874 to 177,361 contracts—short covering of 20,513 contracts. A positive shift in sentiment. Let's see if the trend continues. #NIFTY #FII #StockMarketIndia #OptionsTrading #NSE https://t.co/YKdosPAF9j
- [x_maheshdarekar11#0ba56738] #nifty #NIFTY50 Why CAS looks so complex .. Tried to find answer using GPT but still explanation doesnt make sense https://t.co/BxkYaoJg6s
- [x_maheshdarekar11#250689d7] Anyone understood nifty closure at 24774 today. New way to manip

## 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=119, 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=119, 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=119, method=platform_profile

## Freshness
- profile_checked_days_ago: 119
- content_analysed_days_ago: 80
- audience_updated_days_ago: 20

## 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_maheshdarekar11
- Request removal: https://koinonlink.com/claim?k=x_maheshdarekar11
- Terms: https://koinonlink.com/for-ai