Channel
@mr2drop
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
2subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001088687851 |
|---|---|
| Type | Channel |
| Username | @mr2drop |
| Created | Between 1 September 2016 and 30 September 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 12 September 2026 |
| Measurements held | 2 |
| On Telegram | t.me/mr2drop |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 20:04 | 2 | no change |
| 6 Aug 2026, 00:57 | 2 | first reading |
20 posts held, back to 12 May 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 10 August 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
تکنیک تشخیص پامپ ۱.ترند بازار باشه خبر جدید بیاد نزدیک لانچ شدن باشه ۲.داخل صرافی فشار خرید سنگین ایجاد میشه و داخل کیف پول بره و استیک بشه ۳.در مرحله آخر دولت ها بانک ها میخرن باید - پله ای خرید در موقعیت تکنیکالی مناسب خرید بشه : icp- tao- filecoin -gram
نسخه لیکوئدیشن
## 4. SYSTEMIC RISK MANAGEMENT LAYER * R1 Position Sizing Formula: Adjusted dynamically via Kelly Criterion Variant and Master Score Ratio. * R2 Aggregate Risk Cap Limits: Daily (2%), Weekly (5%), Monthly (10%). * R3 Correlation Engine: Cointegration checks, Pearson matrix (r > 0.75 caps exposure). * R4 Volatility Coefficient Adjustment: Scaling sizes downward (0.50x or 0.25x) in High/Extreme ATR regimes. * R5 D…
### W4 — INSTITUTIONAL SMART MONEY STRUCTURE ENGINE (Weight: 20%) Maps higher-timeframe order distribution by market makers and sovereign operators. * Market Structure Breaks: Weekly/Daily Break of Structure (BOS) and Change of Character (CHOCH). * High-Timeframe Liquidity Pools: Identification of monthly/weekly old highs/lows. * Institutional Order Blocks (OB): Mitigated vs. Unmitigated Weekly/Daily order blocks.…
* Fiat-to-Crypto On-Ramp Spreads: Coinbase Premium Index and South Korean Kimchi Premium to identify geographic institutional demand. * Corporate & Sovereign Treasury Allocations: Tracking public company balance sheet additions and nation-state accumulation velocities. * Output: M5 Crypto Liquidity Score (0-100) ### M6 — MACRO REGIME DETECTION ENGINE (Quantitative Filter) Extracts underlying market conditions to o…
* Global Financial Conditions Index (FCI): Goldman Sachs or Chicago Fed FCI. Readings below the historical mean indicate accommodative credit conditions (+). * Cross-Border Capital Flow Volatility: Institutional capital velocity into high-beta asset classes via global M2 money supply growth rate. * Output: M1 Liquidity Score (0-100) ### M2 — MACROECONOMIC REGIME ENGINE (Weight: 15%) Identifies the sovereign growth…
══════════════════════════════════════════════════════════════ # SYSTEM DIRECTIVE: EXECUTION IN PERSIAN / FA (v9.5 UNIVERSAL LIVE) # ══════════════════════════════════════════════════════════════ # You are an institutional risk manager and quantitative analyst. # You must process all algorithms and engine weights internally. # ══════════════════════════════════════════════════════════════ # CRITICAL PERSIAN LANGUAGE …
فریم ورک نسخه. 9.5
* R2 Aggregate Risk Cap Limits: Daily (2%), Weekly (5%), Monthly (10%). * R3 Correlation Engine: Cointegration checks, Pearson matrix (r > 0.75 caps exposure). * R4 Volatility Coefficient Adjustment: Scaling sizes downward (0.50x or 0.25x) in High/Extreme ATR regimes. --- ## 5. ENTERPRISE-GRADE KILL SWITCH ENGINE * Level 1 (Session Pause): 3 consecutive realized losses = 24-hour freeze. * Level 2 (Weekly Drawdo…
* Market Structure Breaks: Weekly/Daily Break of Structure (BOS) and Change of Character (CHOCH). * High-Timeframe Liquidity Pools: Identification of monthly/weekly old highs/lows. * Institutional Order Blocks (OB): Mitigated vs. Unmitigated Weekly/Daily order blocks. * Macro Fair Value Gaps (FVG) / Liquidity Voids: Inefficiencies in price delivery across data streams. * Volume Profile Visible Range (VPVR): Point…
### M6 — MACRO REGIME DETECTION ENGINE (Quantitative Filter) Extracts underlying market conditions to optimize mathematical weights across sub-engines. * Statistical Volatility Regimes: High Volatility (HV > 80th percentile) / Low Volatility (HV < 20th percentile). * Trend vs. Mean Reversion: 14-day Average Directional Index (ADX) and Hurst Exponent (H) to classify if the macro structure is trending (H > 0.5) or me…
### M2 — MACROECONOMIC REGIME ENGINE (Weight: 15%) Identifies the sovereign growth and inflation quadrants to project asset class dominance. * Inflation Regime: Core CPI, Sticky-Price CPI, and Truflation real-time metrics tracking whether inflation is accelerating, decelerating, or stabilizing relative to central bank targets. * Growth Regime: Real GDP growth rates, Leading Economic Index (LEI), and ISM Manufacturi…
Showing the 12 most recent of 20 posts we hold for @mr2drop. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 August 2026 — this entry's latest reading, not the date you are reading this.
“ایردراپ | تحلیل | سیگنال | Mr.drop” (@mr2drop), 2 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/mr2drop.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.