@Beatrice1319
#69,630110x00482ed30ead06a69be21d2ebd3aacc8869a5861
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.
11
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
43% (3/7)6.4/20
0.42x (win $147 / loss $347)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-0.2246 per $1 invested0/10
HHI 3466 (7 markets)0/10
2/4 profitable days (50%)5/10
Max DD 610% of peak ($239 / $39)0/10
Badges
2Profitable
PnL $+881
Lottery Player
60% entries < $0.20
Categories
1🌤️ WEATHER#1,380$1,369Vol: $223,497
Overview
#1Net PnL
$1,369
Polymarket official
Total Volume
$223,497
Total Redeem
$0
Portfolio
$0
Predictions
9
total markets
Trades
98B / 53S
Daily Volume
$0
Account Age
~7d
Periods
#2Today
$0
Vol: $14,932
Week
$358
Vol: $63,586
Month
$220
Vol: $158,467
All Time
$1,369
Vol: $223,497
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
43%
3W / 4L events
Realized PnL
$881
Win Rate
43%
3W / 4L
Profit Factor
0.42x
Avg Win
$49
Avg Loss
$-87
Outlier Sensitivity: Top-3 = $147 (0.16726814653411415% of PnL)
Top Winners
Will the highest temperature in Shenzhen be 31°C on September 5?$108
Will the highest temperature in Hong Kong be 32°C on August 28?$38
Will the highest temperature in Wellington be 17°C on August 30?$1
Top Losers
Will Tropical Storm Saudel make landfall in Japan?$-142
Will the highest temperature in Shenzhen be 32°C on September 5?$-112
Will the highest temperature in Shenzhen be 33°C or higher on September 5?$-57
Will the highest temperature in Kuala Lumpur be 31°C on September 5?$-37
Risk Metrics
#4Sharpe
-0.597
Sortino
-1.616
HHI
629
Moderate
EV per $1
$-0.396
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
14.2%
Top-5 markets
52.2%
Behavior Analysis
#5Trades / Day
13.7
Active
Markets / Day
0.8
Active Hours
15/24
Extended
Peak Hour
4:00 UTC
Median Gap
22s
between trades
Avg Gap
27.6m
between trades
Night Trading
53%
22:00–06:00 UTC
Size Variance
2.87
Variable
Session Statistics
Sessions
23
Avg Duration
2 min
Avg Trades / Session
6.6
Bot Detection
#620
LIKELY HUMAN (fast interface)LOW probability
7 indicators analyzed
Trade Speed
HIGH
Night Activity
MEDIUM
Active Hours
MEDIUM
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 22s — normal for humanCV 2.87 — diverse sizes (human-like)53% night trades — never sleeps15/24 hours — normal schedule14 trades/day — very active0.8 markets/day — normal65% maker — normal mix
Timing Patterns
#7Peak hour: 4:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
17.29
Price Levels
#9Low (<20c)60.2%
Mid (20-55c)22.4%
High (>55c)17.3%
Sessions
#129/1/2026, 8:22:40 AM5 trades$9854 min
9/7/2026, 11:56:21 PM22 trades$6253 min
9/5/2026, 12:00:34 AM2 trades$2000 min
9/5/2026, 6:23:33 AM11 trades$1800 min
9/5/2026, 4:54:01 AM38 trades$13014 min
9/4/2026, 3:13:33 AM5 trades$840 min
8/28/2026, 7:56:12 AM1 trades$570 min
8/28/2026, 7:14:09 AM5 trades$511 min
9/7/2026, 9:58:49 PM8 trades$412 min
9/3/2026, 10:08:48 PM13 trades$2414 min
9/5/2026, 2:20:36 AM5 trades$240 min
8/28/2026, 7:29:00 AM1 trades$160 min
9/5/2026, 5:14:24 AM2 trades$100 min
9/5/2026, 4:41:48 AM21 trades$85 min
8/30/2026, 12:52:37 AM2 trades$50 min
9/4/2026, 11:35:07 AM3 trades$40 min
9/4/2026, 3:49:00 AM1 trades$40 min
9/4/2026, 12:12:09 AM1 trades$10 min
9/4/2026, 1:40:36 AM1 trades$10 min
9/4/2026, 4:40:36 AM1 trades$10 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
2026-08-28 12:00:00
2026-08-30 12:00:00
2026-09-01 03:59:00
2026-09-05 12:00:00
Faded bars = markets ending in the future (PnL from early exits)
Profile
#14Specialization
WEATHER
85.7% weather
Holding Style
ACTIVE SELLER
35.1% sell
DCA Style
HEAVY
avg 17.29/mkt
Entry Bias
LOW $
L60.2 / M22.4 / H17.3