VitoCorleone777

@VitoCorleone777

#32,03874

0x2f98dcd32590ad0261df6b0431a365704a94e397

~123d· 486 markets · 2499 tradesVol: $223,4282026-08-04 23:36:42
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.

74
Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

81% (394/485)20/20
1.28x (win $6,041 / loss $4,732)6/15
Annualised Sharpe 1.64815/15
Sortino 1.89410/10
$+0.0206 per $1 invested1/10
HHI 67 (485 markets)10/10
99/118 profitable days (84%)10/10
Max DD 57% of peak ($954 / $1,660)2.5/10

Badges

7
Sniper
Win rate 81%
Profitable
PnL $+3,744
DCA Master
Avg 5.1 entries/market
Whale
$63,447 invested
Consistent
99/118 profitable days
Win Streak
22 wins in a row
🦉Night Owl
24/24 hours active

Categories

3
🌤️ WEATHER#552$3,686Vol: $223,026
SPORTS#149,039$63Vol: $338
CRYPTO#1,049,206$-5Vol: $65

Overview

#1
Net PnL
$3,744
Polymarket official
Total Volume
$223,428
Total Redeem
$0
Portfolio
$0
Predictions
486
total markets
Trades
1050B / 1449S
Daily Volume
$0
Account Age
~123d

Periods

#2
Today
$-8
Vol: $7,264
Week
$40
Vol: $13,187
Month
$728
Vol: $17,876
All Time
$3,744
Vol: $223,428

PnL Analysis

#3

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

Win Rate (events)
81%
394W / 91L events
Realized PnL
$3,744
Win Rate
81%
394W / 91L
Profit Factor
1.28x
Avg Win
$15
Avg Loss
$-56

Outlier Sensitivity: Top-3 = $1,022 (0.27292369984188714% of PnL)

Top Winners

Will the highest temperature in Buenos Aires be 20°C on July 26?$441
Will the highest temperature in Buenos Aires be 13°C on July 21?$304
Will the highest temperature in Buenos Aires be 18°C on July 8?$278
Will the highest temperature in Milan be 33°C on July 7?$204
Will the highest temperature in Buenos Aires be 13°C on July 19?$185
Will the highest temperature in Warsaw be 20°C on July 8?$147
Will the highest temperature in Munich be 30°C on July 7?$131
Will the highest temperature in Buenos Aires be 19°C on July 26?$101
Will the highest temperature in Madrid be 13°C on March 29?$94
Will the highest temperature in Warsaw be 30°C on July 16?$93

Top Losers

Will the highest temperature in Madrid be 23°C on April 4?$-892
Will the highest temperature in Milan be 30°C on July 23?$-318
Will the highest temperature in Buenos Aires be 12°C on July 19?$-311
Will the highest temperature in Milan be 34°C on June 21?$-301
Will the highest temperature in Buenos Aires be 21°C on July 26?$-222
Will the highest temperature in Milan be 31°C on July 23?$-203
Will the highest temperature in Sao Paulo be 22°C on February 27?$-201
Will the highest temperature in Milan be 34°C on July 7?$-194
Will the highest temperature in Munich be 23°C on July 23?$-162
Will the highest temperature in Buenos Aires be 14°C on July 19?$-152

Risk Metrics

#4
Sharpe
0.086
Sortino
0.045
HHI
67
Diversified
EV per $1
$0.021
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
2.5%
Top-5 markets
10%

Behavior Analysis

#5
Trades / Day
13.9
Active
Markets / Day
2.7
Active Hours
24/24
Around the clock
Peak Hour
13:00 UTC
Median Gap
14.8m
between trades
Avg Gap
1.8h
between trades
Night Trading
26%
22:00–06:00 UTC
Size Variance
1.90
Variable
Session Statistics
Sessions
50
Avg Duration
1 min
Avg Trades / Session
4.1

Bot Detection

#6
35
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 886s — normal for humanCV 1.90 — diverse sizes (human-like)26% night trades — never sleeps24/24 hours — around the clock14 trades/day — very active2.7 markets/day — normal41% maker — normal mix

Timing Patterns

#7

Peak hour: 13:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
5.09
Active DCA

Price Levels

#9
Low (<20c)1.3%
Mid (20-55c)7.5%
High (>55c)91.1%

Sessions

#12
3/19/2026, 4:15:23 PM2 trades$2,0231 min
2/14/2026, 12:15:43 PM3 trades$1,5325 min
2/28/2026, 5:04:29 AM4 trades$1,5241 min
2/14/2026, 3:03:59 PM2 trades$1,4771 min
3/19/2026, 4:36:09 AM1 trades$1,3620 min
6/11/2026, 1:07:55 PM6 trades$1,2941 min
2/16/2026, 8:04:25 PM1 trades$1,2350 min
2/16/2026, 1:53:59 PM1 trades$1,1790 min
4/25/2026, 3:09:40 PM5 trades$1,0680 min
2/16/2026, 6:55:37 PM5 trades$9310 min
2/15/2026, 6:57:03 PM1 trades$9150 min
2/27/2026, 10:01:39 PM1 trades$9030 min
2/27/2026, 8:06:49 PM1 trades$8960 min
7/19/2026, 10:14:16 PM3 trades$8870 min
2/10/2026, 11:25:27 PM1 trades$8100 min
2/15/2026, 4:34:59 PM1 trades$7580 min
7/7/2026, 7:12:22 PM8 trades$7490 min
2/9/2026, 3:43:19 PM2 trades$7413 min
4/1/2026, 7:01:41 PM4 trades$7370 min
6/8/2026, 2:09:10 PM12 trades$7165 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
02-06
02-25
03-16
04-04
05-11
06-14
07-19

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

Max drawdown: 2 days (recovered)

Profile

#14
Specialization
WEATHER
98% weather
Holding Style
ACTIVE SELLER
58% sell
DCA Style
HEAVY
avg 5.09/mkt
Entry Bias
HIGH $
L1.3 / M7.5 / H91.1