@0x2250…4cd7

#145,08976

0x2250d40930b11eacbdf5085c3fa24f1ee27d4cd7

~91d· 392 markets · 3210 tradesVol: $28,5162026-08-04 19:18:07
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.

76
Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

53% (208/392)11.5/20
1.54x (win $1,717 / loss $1,113)9.3/15
Annualised Sharpe 3.99615/15
Sortino 7.81710/10
$+0.0804 per $1 invested4/10
HHI 96 (392 markets)10/10
51/88 profitable days (58%)7/10
Max DD 24% of peak ($153 / $637)9.2/10

Badges

5
Profitable
PnL $+303
DCA Master
Avg 8.2 entries/market
Cool Head
Max DD 24%
Win Streak
11 wins in a row
🦉Night Owl
22/24 hours active

Categories

5
🌤️ WEATHER#3,845$299Vol: $28,444
📢 MENTIONS#37,192$1Vol: $25
SPORTS#297,089$8Vol: $23
🎭 CULTURE#661,535$-7Vol: $14
🏛️ POLITICS#671,466$-0Vol: $10

Overview

#1
Net PnL
$303
Polymarket official
Total Volume
$28,516
Total Redeem
$1,509
Portfolio
$0
Predictions
392
total markets
Trades
1930B / 1280S
Daily Volume
$0
Account Age
~91d

Periods

#2
Today
$-24
Vol: $338
Week
$-12
Vol: $1,183
Month
$-69
Vol: $2,076
All Time
$303
Vol: $28,516

PnL Analysis

#3

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

Win Rate (events)
53%
208W / 184L events
Realized PnL
$303
Win Rate
53%
208W / 184L
Profit Factor
1.54x
Avg Win
$8
Avg Loss
$-6

Outlier Sensitivity: Top-3 = $457 (1.510313367711226% of PnL)

Top Winners

Will the highest temperature in Seoul be 20°C on April 25?$177
Will the highest temperature in Atlanta be between 92-93°F on June 12?$156
Will NYC have between 4 and 5 inches of precipitation in July?$124
Will the highest temperature in New York City be 50°F or higher on February 28?$56
Will the highest temperature in San Francisco be 78°F or higher on April 4?$53
Will the lowest temperature in New York City be between 68-69°F on June 7?$47
Will the highest temperature in Seattle be between 62-63°F on June 6?$46
Will the highest temperature in Seoul be 17°C on April 29?$39
Will the highest temperature in Seoul be 28°C on July 16?$36
Will the highest temperature in New York City be between 46-47°F on March 4?$35

Top Losers

Will the highest temperature in New York City be between 68-69°F on July 7?$-119
Will the highest temperature in New York City be between 94-95°F on June 12?$-100
Will the highest temperature in Seattle be between 50-51°F on March 4?$-63
Will the highest temperature in Seoul be 22°C on June 10?$-50
Will the highest temperature in New York City be between 64-65°F on May 15?$-47
Will the highest temperature in Atlanta be between 84-85°F on June 6?$-43
Will the highest temperature in Seattle be between 64-65°F on April 29?$-43
Will the highest temperature in Houston be between 88-89°F on May 9?$-31
Will the highest temperature in New York City be between 74-75°F on June 8?$-21
Will the highest temperature in Seattle be between 66-67°F on May 5?$-21

Risk Metrics

#4
Sharpe
0.208
Sortino
0.313
HHI
102
Diversified
EV per $1
$0.080
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
3.7%
Top-5 markets
13.6%

Behavior Analysis

#5
Trades / Day
19.1
Active
Markets / Day
2.3
Active Hours
22/24
Around the clock
Peak Hour
17:00 UTC
Median Gap
2.3m
between trades
Avg Gap
1.0h
between trades
Night Trading
18%
22:00–06:00 UTC
Size Variance
2.31
Variable
Session Statistics
Sessions
50
Avg Duration
4 min
Avg Trades / Session
25.3

Bot Detection

#6
25
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 140s — normal for humanCV 2.31 — diverse sizes (human-like)18% night trades — unusual hours22/24 hours — around the clock19 trades/day — very active2.3 markets/day — normal49% maker — normal mix

Timing Patterns

#7

Peak hour: 17:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
8.19
Active DCA

Price Levels

#9
Low (<20c)13%
Mid (20-55c)29.4%
High (>55c)57.7%

Sessions

#12
7/7/2026, 5:26:29 PM567 trades$4148 min
3/18/2026, 10:55:07 PM170 trades$24116 min
3/5/2026, 5:32:15 AM8 trades$17514 min
6/16/2026, 3:53:48 AM11 trades$1350 min
5/12/2026, 9:36:02 PM56 trades$13213 min
6/12/2026, 6:26:57 PM27 trades$12817 min
3/3/2026, 8:08:53 PM1 trades$1280 min
3/21/2026, 10:39:33 PM21 trades$12314 min
3/9/2026, 12:51:17 AM6 trades$1225 min
3/12/2026, 3:57:21 PM24 trades$1200 min
3/12/2026, 12:27:53 PM1 trades$1160 min
3/25/2026, 8:18:45 PM1 trades$1160 min
6/12/2026, 12:45:15 PM17 trades$1154 min
6/7/2026, 3:11:31 AM32 trades$1133 min
3/25/2026, 12:06:05 AM2 trades$1104 min
6/12/2026, 1:13:40 PM10 trades$1094 min
3/15/2026, 8:18:53 PM26 trades$9333 min
7/27/2026, 8:39:15 PM45 trades$939 min
2/23/2026, 6:52:48 PM1 trades$920 min
7/27/2026, 8:24:30 PM48 trades$917 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
02-18
03-04
03-20
04-04
05-08
06-08
07-28
08-04

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

Max drawdown: 77 days (not recovered)

Profile

#14
Specialization
WEATHER
98% weather
Holding Style
ACTIVE SELLER
39.9% sell
DCA Style
HEAVY
avg 8.19/mkt
Entry Bias
HIGH $
L13 / M29.4 / H57.7