System_trading_ru

Age 2.5 Year

Peak Tier 3

Algorithmic Cryptocurrency Market Monitoring Model. The system automatically scans assets, identifies recurring patterns, and compares the current situation with historical analogs. Publications include statistics of similar cases: probability of growth and pullbacks, temporal movement dynamics, and ranges of historical risks. This is data analysis, not trading advice. Telegram: @system_trading_ru

system_trading_ru

3h ago

$H
📊 **The algorithm detected a signal | H/USDT**
Historically, such situations have resulted in
**growth of ≥2% in 100% of cases (5 out of 5)**
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🟨 **HAMMER | TF 15m**
Signal: **05.03.2026 19:00 MSK**
Signal price: **0.14351**
Historical sample: **5 situations**
Distribution of signal strength:
<2%:0 | 2–3%:1 | 3–5%:0 | 5–10%:1 | ≥10%:3
━━━━━━━━━━━━━━
📉 **Pullback after the signal**
In **4 out of 5 cases**, the price initially decreased.
Typical pullback times:
p50 → **75 minutes**
p80 → **84 minutes**
Typical levels:
−1.24% → 100%
−1.27% → 80%
−4.26% → 60%
−5.67% → 40%
−6.15

H28.7%

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Oleganishe

Hold tight 💪

system_trading_ru

4h ago

$ICNT
📊 **The algorithm detected a signal | ICNT/USDT**
Historically, such situations have resulted in
**growth of ≥2% in 90% of cases (9 out of 10)**
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🟨 **HAMMER | TF 15m**
Signal: **05.03.2026 18:15 MSK**
Signal price: **0.3151**
Historical sample: **10 situations**
Distribution of signal strength:
<2%:1 | 2–3%:0 | 3–5%:1 | 5–10%:1 | ≥10%:7
━━━━━━━━━━━━━━
📉 **Pullback after the signal**
In **8 out of 10 cases**, the price initially decreased.
Typical pullback times:
p50 → **60 minutes**
p80 → **84 minutes**
Typical levels:
−0.55% → 80%
−0.78% → 50%
−2.61% → 40%
−5.57% → 10%

ICNT8.6%

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system_trading_ru

5h ago

$HBAR
📊 Algorithmic Signal | HBAR/USDT**
🔎 Signal detected by the market monitoring system.
The algorithm analyzes **the top 100 coins by trading volume every 15 minutes** and looks for recurring price behavior patterns.
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🟨 **HAMMER | TF 15m**
Signal: **05.03.2026 17:15 MSK**
Signal Price: **0.10035**
**Historical sample: 4 similar situations**
Growth ≥2% within 24 hours:
**100% (4 out of 4 cases)**
Distribution of signal strength in history:
<2%:0 | 2–3%:4 | 3–5%:0 | 5–10%:0 | ≥10%:0
━━━━━━━━━━━━━━━━
📉 **Pullback after the signal**
Decrease before growth:
**2 out of 4 cas

HBAR-3.07%

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system_trading_ru

5h ago

$WIF
📊 Algorithmic Signal | WIF/USDT**
🔎 Market monitoring system detected a signal.
The algorithm analyzes **the top 100 coins by trading volume every 15 minutes** and looks for recurring price behavior patterns.
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🟨 **HAMMER | TF 15m**
Signal: **05.03.2026 16:45 MSK**
Signal price: **0.2149**
**Historical sample: 14 similar situations**
Growth ≥2% within 24 hours:
**85% (12 out of 14 cases)**
Distribution of signal strength in history:
<2%:2 | 2–3%:4 | 3–5%:4 | 5–10%:3 | ≥10%:1
━━━━━━━━━━━━━━━━
📉 **Pullback after the signal**
Drop before growth:
**6 out of 14 cases**
Typi

WIF-4%

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system_trading_ru

6h ago

Algorithmic Monitoring of the Cryptocurrency Market
The system scans the top 100 coins by trading volume every 15 minutes and searches for recurring price movement patterns.
In this cycle, 100 trading pairs were analyzed.
Signals found: 3.
Below is an example of one of them.
━
🟨 HAMMER | XNY/USDT | TF=15m
Signal: 03/05/2026 06:45
Price: 0.006534
Historical matches: 8
Growth ≥2% in 24h: 100%
📉 Typical Pullback
In 5 out of 8 cases, the price initially decreased.
Typical time to pullback:
p50 ≈ 60 minutes
p80 ≈ 99 minutes
Pullback depth:
• −0.34% → 75% of cases
• −1.04% → 62% of cases
• −1.57%

XNY-3.02%

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Is this type of signal format interesting?

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I want more examples

0 ParticipantsEnds In 17 Hour

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system_trading_ru

This is just a simplified example of a signal.

The algorithm analyzes the top 100 coins every 15 minutes and displays price behavior statistics:
pullbacks, growth probability, and movement structure.