@hhbbpp6

#2,075,9060

0x421b539543ebfc0334f8c49cc4dbd6beb75b890f

~6d· 8 markets · 38 tradesVol: $13,9052026-08-04 20:05:12
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.

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

Score Components

12% (1/8)0/20
0.81x (win $52 / loss $64)0.2/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-0.0882 per $1 invested0/10
HHI 4585 (8 markets)0/10
0/6 profitable days (0%)0/10
Max DD 0% of peak ($12 / $0)0/10

Badges

1
Lottery Player
45% entries < $0.20

Categories

3
🌤️ WEATHER#256,317$-16Vol: $10,008
💰 FINANCE#511,552$-2Vol: $2,369
📈 ECONOMICS#502,702$-1Vol: $1,468

Overview

#1
Net PnL
$-20
Polymarket official
Total Volume
$13,905
Total Redeem
$0
Portfolio
$0
Predictions
8
total markets
Trades
20B / 18S
Daily Volume
$0
Account Age
~6d

PnL Analysis

#3

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

Win Rate (events)
13%
1W / 7L events
Realized PnL
$-20
Win Rate
13%
1W / 7L
Profit Factor
0.81x
Avg Win
$52
Avg Loss
$-13

Outlier Sensitivity: Top-3 = $52 (2.5940792774711494% of PnL)

Top Winners

Will the highest temperature in New York City be between 94-95°F on June 12?$52

Top Losers

Will the highest temperature in London be 22°C on June 12?$-36
Will the highest temperature in Los Angeles be between 74-75°F on June 12?$-23
Will the highest temperature in Seoul be 11°C on April 30?$-2
Will USD reach 19,000 Indonesian rupiah by June 30?$-2
Will the highest temperature in Kuala Lumpur be 30°C on June 29?$-1

Risk Metrics

#4
Sharpe
-0.802
Sortino
-0.792
HHI
3128
Concentrated
EV per $1
$-0.088
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
39.1%
Top-5 markets
97.6%

Behavior Analysis

#5
Trades / Day
0.6
Moderate
Markets / Day
0.1
Active Hours
6/24
Normal
Peak Hour
12:00 UTC
Median Gap
7.9m
between trades
Avg Gap
13.3m
between trades
Night Trading
8%
22:00–06:00 UTC
Size Variance
1.25
Variable
Session Statistics
Sessions
12
Avg Duration
1 min
Avg Trades / Session
3.2

Bot Detection

#6
0
HUMAN (manual trading)LOW probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 475s — normal for humanCV 1.25 — diverse sizes (human-like)8% night trades — normal pattern6/24 hours — normal schedule1 trades/day — normal0.1 markets/day — normal53% maker — normal mix

Timing Patterns

#7

Peak hour: 12:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
4.75
Moderate DCA

Price Levels

#9
Low (<20c)45%
Mid (20-55c)30%
High (>55c)25%

Sessions

#12
4/29/2026, 12:05:38 PM3 trades$1,1130 min
7/1/2026, 9:40:31 AM6 trades$3784 min
6/29/2026, 10:58:20 AM4 trades$780 min
6/12/2026, 12:34:42 PM5 trades$783 min
6/12/2026, 12:03:58 PM5 trades$583 min
6/12/2026, 11:41:48 AM4 trades$243 min
6/12/2026, 11:52:13 AM2 trades$113 min
6/28/2026, 4:45:29 AM3 trades$30 min
6/26/2026, 6:01:49 AM3 trades$20 min
6/29/2026, 12:25:05 PM1 trades$10 min
6/29/2026, 11:30:25 AM1 trades$00 min
6/29/2026, 11:40:01 AM1 trades$00 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
04-29
06-12
06-26
06-28
06-29
07-01

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

Profile

#14
Specialization
MIXED
62.5% weather
Holding Style
ACTIVE SELLER
47.4% sell
DCA Style
MODERATE
avg 4.75/mkt
Entry Bias
LOW $
L45 / M30 / H25