@itzelvalenzuela3

#2,785,9635

0xa30f6592f8b828e5ab73c49e54edf5b82f147245

~23d· 30 markets · 66 tradesVol: $15,2752026-08-04 21:41:09
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.

5
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

13% (3/23)0/20
0.32x (win $119 / loss $377)0/15
Annualised Sharpe -5.6150/15
Sortino -6.2380/10
$-0.0248 per $1 invested0/10
HHI 1401 (23 markets)5.5/10
3/18 profitable days (17%)0/10
Max DD 0% of peak ($368 / $0)0/10

Categories

5
🏛️ POLITICS#1,411,321$-28Vol: $12,189
🎭 CULTURE#535,268$-1Vol: $1,033
SPORTS#1,764,396$-278Vol: $853
🌤️ WEATHER#198,650$-1Vol: $685
CRYPTO#692,013$0Vol: $16

Overview

#1
Net PnL
$-309
Polymarket official
Total Volume
$15,275
Total Redeem
$0
Portfolio
$0
Predictions
30
total markets
Trades
39B / 27S
Daily Volume
$0
Account Age
~23d

Periods

#2
Today
$0
Vol: $0
Week
$0
Vol: $0
Month
$0
Vol: $0
All Time
$-309
Vol: $15,275

PnL Analysis

#3

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

Win Rate (events)
13%
3W / 20L events
Realized PnL
$-309
Win Rate
13%
3W / 20L
Profit Factor
0.32x
Avg Win
$40
Avg Loss
$-21

Outlier Sensitivity: Top-3 = $119 (0.38523928005945646% of PnL)

Top Winners

Will Germany win on 2026-06-25?$108
Pacers vs. Jazz$11
Will Ethereum dip to $1000 in June?$0

Top Losers

Kings vs. Jets$-111
Notre Dame vs. Penn State$-103
Thunder vs. Cavaliers$-101
Who will speak more at VP Debate?$-21
Rockets vs. Spurs$-12
Heat vs. Knicks$-9
Raptors vs. Hawks$-9
Buccaneers vs. Texans$-6
Global heat increase between 1.22°C and 1.24°C for 2024?$-1
Will Scott Stringer win the 2025 NYC mayoral election?$-1

Risk Metrics

#4
Sharpe
-0.286
Sortino
-0.330
HHI
3
Diversified
EV per $1
$-0.552
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
1.1%
Top-5 markets
3.6%

Behavior Analysis

#5
Trades / Day
0.1
Moderate
Markets / Day
0.0
Active Hours
13/24
Extended
Peak Hour
6:00 UTC
Median Gap
8.3m
between trades
Avg Gap
4.4h
between trades
Night Trading
8%
22:00–06:00 UTC
Size Variance
1.25
Variable
Session Statistics
Sessions
33
Avg Duration
1 min
Avg Trades / Session
2.0

Bot Detection

#6
0
HUMAN (manual trading)LOW probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
MEDIUM
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 495s — normal for humanCV 1.25 — diverse sizes (human-like)8% night trades — normal pattern13/24 hours — normal schedule0 trades/day — normal0.0 markets/day — normal26% maker — normal mix

Timing Patterns

#7

Peak hour: 6:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
1.39
Single entry

Price Levels

#9
Low (<20c)12.8%
Mid (20-55c)17.9%
High (>55c)69.2%

Sessions

#12
6/23/2026, 10:19:28 PM7 trades$2,0093 min
6/24/2026, 7:33:58 AM6 trades$2,0001 min
6/25/2026, 6:22:08 AM6 trades$1,9965 min
6/22/2026, 9:22:28 PM2 trades$1,0070 min
6/25/2026, 9:05:47 AM5 trades$9981 min
6/25/2026, 9:18:59 AM4 trades$9871 min
6/25/2026, 1:50:08 PM4 trades$9870 min
1/10/2025, 8:19:44 AM2 trades$1121 min
1/8/2025, 7:08:23 PM1 trades$1030 min
1/7/2025, 7:31:25 PM2 trades$1023 min
6/25/2026, 1:58:49 PM3 trades$980 min
11/7/2025, 11:43:57 AM2 trades$212 min
10/1/2024, 7:01:32 AM1 trades$210 min
5/19/2025, 6:22:57 AM2 trades$121 min
11/11/2025, 11:40:10 AM1 trades$90 min
11/14/2025, 11:31:10 AM1 trades$90 min
5/15/2025, 2:36:18 AM1 trades$60 min
5/15/2025, 6:40:36 AM1 trades$60 min
5/19/2025, 12:01:39 PM1 trades$60 min
5/16/2025, 1:22:06 AM1 trades$60 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
10-01
01-10
05-08
05-19
07-25
11-11

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

Profile

#14
Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
40.9% sell
DCA Style
SINGLE
avg 1.39/mkt
Entry Bias
HIGH $
L12.8 / M17.9 / H69.2