@0xf8643B…1464

#92,83145

0xf8643b1196028f90d50c1c8211d826ce4ff8496f

~142d· 1157 markets · 8810 tradesVol: $222,876 @heyjae412026-09-09 21:24:41
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.

45
Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

26% (302/1153)0/20
1.17x (win $4,860 / loss $4,170)4.6/15
Annualised Sharpe 0.86415/15
Sortino 2.82810/10
$+0.0858 per $1 invested4.3/10
HHI 29 (1153 markets)10/10
47/131 profitable days (36%)1.5/10
Max DD 96% of peak ($744 / $772)0/10

Badges

5
Profitable
PnL $+725
Lottery Player
86% entries < $0.20
Win Streak
5 wins in a row
🦉Night Owl
24/24 hours active
🏗️Market Maker
92% maker orders

Categories

5
🌤️ WEATHER#1,804$946Vol: $210,856
⚽ SPORTS#1,681,869$-90Vol: $7,867
📈 ECONOMICS#456,497$-1Vol: $2,577
🏛️ POLITICS#366,541$1Vol: $1,211
₿ CRYPTO#1,396,237$-42Vol: $365

Overview

#1
Net PnL
$814
Polymarket official
Total Volume
$222,876
Total Redeem
$227
Portfolio
$0
Predictions
1157
total markets
Trades
7883B / 927S
Daily Volume
$0
Account Age
~142d

Periods

#2
Today
$143
Vol: $2,245
Week
$-24
Vol: $10,628
Month
$-131
Vol: $11,447
All Time
$814
Vol: $222,876

PnL Analysis

#3

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

Win Rate (events)
26%
302W / 851L events
Realized PnL
$725
Win Rate
26%
302W / 851L
Profit Factor
1.17x
Avg Win
$16
Avg Loss
$-5

Outlier Sensitivity: Top-3 = $1,531 (2.1117011005985713% of PnL)

Top Winners

Will the highest temperature in Seoul be 9°C on March 26?$765
Will the highest temperature in Ankara be 10°C on March 26?$478
Will the highest temperature in Buenos Aires be 27°C on March 23?$288
Will the highest temperature in London be 13°C on May 10?$183
Will the highest temperature in New York City be between 66-67°F on March 27?$132
Will the highest temperature in Chicago be between 58-59°F on May 13?$120
Will the highest temperature in Dallas be between 82-83°F on April 28?$113
Will the highest temperature in Seattle be between 56-57°F on April 27?$100
Will the highest temperature in Wellington be 19°C on March 23?$95
Will the highest temperature in Seattle be between 54-55°F on April 28?$88

Top Losers

Will the highest temperature in Seoul be 11°C on February 22?$-63
Will the highest temperature in Ankara be 9°C on March 1?$-55
Will the highest temperature in New York City be between 46-47°F on February 21?$-55
Will the highest temperature in London be 13°C on March 1?$-52
Will the highest temperature in London be 14°C on February 21?$-41
Will the highest temperature in Miami be between 88-89°F on February 22?$-37
Will the highest temperature in New York City be between 40-41°F on February 27?$-37
Will the highest temperature in Seoul be 13°C or higher on February 27?$-36
Will the highest temperature in Wellington be 21°C on February 23?$-35
Will the highest temperature in Seoul be 12°C on March 1?$-30

Risk Metrics

#4
Sharpe
0.045
Sortino
0.142
HHI
24
Diversified
EV per $1
$0.088
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
1.5%
Top-5 markets
5.9%

Behavior Analysis

#5
Trades / Day
36.0
Active
Markets / Day
4.7
Active Hours
24/24
Around the clock
Peak Hour
0:00 UTC
Median Gap
2.1m
between trades
Avg Gap
26.2m
between trades
Night Trading
34%
22:00–06:00 UTC
Size Variance
3.00
Variable
Session Statistics
Sessions
50
Avg Duration
8 min
Avg Trades / Session
13.2

Bot Detection

#6
60
SEMI-BOT (bot + manual)MEDIUM probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 124s — normal for humanCV 3.00 — diverse sizes (human-like)34% night trades — never sleeps24/24 hours — around the clock36 trades/day — high frequency4.7 markets/day — normal92% maker — systematic market making

Timing Patterns

#7

Peak hour: 0:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
7.62
Active DCA

Price Levels

#9
Low (<20c)86.3%
Mid (20-55c)4.9%
High (>55c)8.8%

Sessions

#12
4/28/2026, 11:55:44 PM6 trades$4471 min
9/6/2026, 2:07:34 PM6 trades$1990 min
9/7/2026, 10:08:40 AM8 trades$1880 min
4/29/2026, 8:17:12 AM6 trades$1850 min
6/4/2026, 12:09:36 PM3 trades$1670 min
2/22/2026, 2:31:24 AM26 trades$14824 min
2/20/2026, 12:01:16 AM11 trades$14211 min
2/21/2026, 12:16:02 AM42 trades$13922 min
4/28/2026, 2:15:52 AM9 trades$1250 min
2/16/2026, 2:41:53 PM15 trades$1242 min
2/18/2026, 5:22:50 PM18 trades$12221 min
2/21/2026, 12:43:36 AM14 trades$11614 min
2/15/2026, 8:15:51 PM46 trades$10427 min
2/27/2026, 1:21:08 AM19 trades$998 min
2/27/2026, 12:44:38 AM21 trades$9331 min
3/1/2026, 3:10:33 AM13 trades$8719 min
5/2/2026, 12:00:50 PM7 trades$818 min
4/2/2026, 12:06:41 PM4 trades$750 min
6/6/2026, 12:35:40 AM9 trades$6915 min
4/27/2026, 4:00:28 AM2 trades$670 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
01-06
03-04
03-27
05-07
06-08
07-24
08-30

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

Max drawdown: 35 days (recovered)

Profile

#14
Specialization
WEATHER
88% weather
Holding Style
HOLD
10.5% sell
DCA Style
HEAVY
avg 7.62/mkt
Entry Bias
LOW $
L86.3 / M4.9 / H8.8