ehsan.onchain

@ehsan.onchain

#2,957,90140

0x28a1b1a655331aff71d69660346a86c0e48969a1

~84d· 382 markets · 3916 tradesVol: $345,425 @ehsan_onchain2026-08-04 23:19:17
SMART SCORE SYSTEM

Composite trader rating.
0 to 100.

Smart Score aggregates PnL consistency, win rate, risk management, diversification, timing patterns, and trading behavior into a single 0‑100 score. Combined with bot detection that analyzes trade timing gaps, order patterns, and execution speed.

40
Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

79% (300/382)20/20
0.86x (win $4,290 / loss $5,000)0.7/15
Annualised Sharpe -0.6280/15
Sortino -0.6680/10
$-0.0056 per $1 invested0/10
HHI 67 (382 markets)10/10
52/77 profitable days (68%)9.4/10
Max DD 131% of peak ($2,980 / $2,270)0/10

Badges

6
Sniper
Win rate 79%
DCA Master
Avg 10.3 entries/market
Whale
$127,171 invested
Consistent
52/77 profitable days
Win Streak
26 wins in a row
🦉Night Owl
24/24 hours active

Categories

7
🌤️ WEATHER#298,110$-1,230Vol: $335,892
⚽ SPORTS#1,569,677$-43Vol: $6,320
🏛️ POLITICS#98,247$42Vol: $1,551
🎭 CULTURE#758,230$-46Vol: $316
₿ CRYPTO#1,255,477$-19Vol: $249
📢 MENTIONS#119,694$-6Vol: $154
💰 FINANCE#586,672$-15Vol: $17

Overview

#1
Net PnL
$-1,322
Polymarket official
Total Volume
$345,425
Total Redeem
$0
Portfolio
$0
Predictions
382
total markets
Trades
2325B / 1591S
Daily Volume
$0
Account Age
~84d

Periods

#2
Week
$6
Vol: $66
Month
$4
Vol: $722
All Time
$-1,322
Vol: $345,425

PnL Analysis

#3

Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology

Win Rate (events)
79%
300W / 82L events
Realized PnL
$-1,322
Win Rate
79%
300W / 82L
Profit Factor
0.86x
Avg Win
$14
Avg Loss
$-68

Outlier Sensitivity: Top-3 = $674 (0.5095080330398475% of PnL)

Top Winners

Will the highest temperature in Seoul be 20°C on April 25?$336
Will the highest temperature in San Francisco be 78°F or higher on April 4?$235
Will the highest temperature in Seoul be 17°C on May 3?$102
Will the highest temperature in Seoul be 30°C on June 15?$94
Will the highest temperature in Seoul be 26°C on June 9?$89
Will the highest temperature in Beijing be 26°C on May 7?$86
Will the highest temperature in Beijing be 24°C on April 24?$84
Will the highest temperature in Madrid be 19°C on May 9?$71
Will the highest temperature in Paris be 24°C on June 7?$66
Will the highest temperature in Seoul be 25°C on May 14?$64

Top Losers

Will the highest temperature in Tokyo be 25°C or higher on May 10?$-1,748
Will the highest temperature in Seoul be 29°C on June 24?$-1,010
Will the highest temperature in Ankara be 17°C or higher on April 1?$-395
Will the highest temperature in Seoul be 24°C on June 6?$-270
Will the highest temperature in Buenos Aires be 16°C on May 10?$-224
Will the highest temperature in Seoul be 33°C on July 29?$-205
Will the highest temperature in Busan be 24°C on May 1?$-144
Will the highest temperature in Seoul be 33°C or higher on July 28?$-143
Will the highest temperature in Seoul be 16°C or higher on April 2?$-109
Will the highest temperature in Seoul be 5°C on March 7?$-81

Risk Metrics

#4
Sharpe
-0.033
Sortino
-0.021
HHI
78
Diversified
EV per $1
$-0.005
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
2.4%
Top-5 markets
10.1%

Behavior Analysis

#5
Trades / Day
23.0
Active
Markets / Day
2.2
Active Hours
24/24
Around the clock
Peak Hour
5:00 UTC
Median Gap
3.3m
between trades
Avg Gap
42.9m
between trades
Night Trading
21%
22:00–06:00 UTC
Size Variance
2.15
Variable
Session Statistics
Sessions
50
Avg Duration
5 min
Avg Trades / Session
14.6

Bot Detection

#6
35
LIKELY HUMAN (fast interface)LOW probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 197s — normal for humanCV 2.15 — diverse sizes (human-like)21% night trades — unusual hours24/24 hours — around the clock23 trades/day — high frequency2.2 markets/day — normal65% maker — normal mix

Timing Patterns

#7

Peak hour: 5:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
10.28
Heavy DCA

Price Levels

#9
Low (<20c)11.7%
Mid (20-55c)3.9%
High (>55c)84.5%

Sessions

#12
5/8/2026, 1:31:08 AM5 trades$2,3590 min
4/27/2026, 3:43:08 AM13 trades$2,0772 min
4/27/2026, 6:12:08 AM13 trades$1,8930 min
4/25/2026, 8:11:46 AM21 trades$1,89020 min
5/6/2026, 2:37:22 AM7 trades$1,8678 min
4/30/2026, 4:31:26 PM72 trades$1,85310 min
4/27/2026, 2:44:24 PM14 trades$1,8328 min
4/28/2026, 7:45:26 AM44 trades$1,59120 min
5/7/2026, 9:10:24 AM1 trades$1,5670 min
5/10/2026, 4:55:11 AM1 trades$1,5000 min
5/9/2026, 4:35:27 AM9 trades$1,47810 min
5/8/2026, 8:19:46 AM3 trades$1,4595 min
5/2/2026, 3:15:34 AM22 trades$1,31414 min
4/29/2026, 7:51:42 AM6 trades$1,2762 min
4/1/2026, 10:16:05 AM13 trades$1,2642 min
4/26/2026, 8:06:46 PM24 trades$1,2565 min
4/25/2026, 7:09:10 AM9 trades$1,2205 min
5/4/2026, 7:15:34 PM5 trades$1,2023 min
4/27/2026, 3:24:12 AM4 trades$1,1861 min
5/1/2026, 3:33:30 AM4 trades$1,1542 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
02-16
03-04
04-03
05-03
05-15
06-13
07-22

Faded bars = markets ending in the future (PnL from early exits)

Max drawdown: 81 days (not recovered)

Profile

#14
Specialization
WEATHER
92% weather
Holding Style
ACTIVE SELLER
40.6% sell
DCA Style
HEAVY
avg 10.28/mkt
Entry Bias
HIGH $
L11.7 / M3.9 / H84.5