@batistpk
#232,851410xbe0a1b8db5e4b6e3cc80a307b3e794541cc7eed1
~424d· 1890 markets · 7059 tradesVol: $1,226,4312026-08-04 20:45:30
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.
41
Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
95% (1798/1885)20/20
0.85x (win $19,283 / loss $22,628)0.7/15
Annualised Sharpe -0.5830/15
Sortino -0.5980/10
$-0.0048 per $1 invested0/10
HHI 10 (1885 markets)10/10
358/404 profitable days (89%)10/10
Max DD 281% of peak ($5,740 / $2,040)0/10
Badges
7Sniper
Win rate 95%
Profitable
PnL $+106
Whale
$690,880 invested
Consistent
358/404 profitable days
High Roller
$1,363/day
Win Streak
103 wins in a row
🦉Night Owl
24/24 hours active
Categories
3🌤️ WEATHER#6,407$120Vol: $1,226,180
⚽ SPORTS#366,113$3Vol: $148
🏛️ POLITICS#1,356,710$-17Vol: $103
Overview
#1Net PnL
$106
Polymarket official
Total Volume
$1,226,431
Total Redeem
$0
Portfolio
$0
Predictions
1890
total markets
Trades
2406B / 4653S
Daily Volume
$0
Account Age
~424d
Periods
#2Today
$8
Vol: $4,810
Week
$8
Vol: $15,973
Month
$21
Vol: $24,647
All Time
$106
Vol: $1,226,431
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
95%
1798W / 87L events
Realized PnL
$106
Win Rate
95%
1798W / 87L
Profit Factor
0.85x
Avg Win
$11
Avg Loss
$-354
Outlier Sensitivity: Top-3 = $535 (5.053332074759297% of PnL)
Top Winners
Will the highest temperature in London be between 54-55°F on March 25?$194
Will the highest temperature in New York City be between 49-50°F on November 22?$188
Will the highest temperature in Los Angeles be between 64-65°F on May 2?$153
Will the highest temperature in New York City be 44°F or higher on December 25?$142
Will the highest temperature in London be between 72-73°F on July 8?$134
Will the highest temperature in New York City be between 47-48°F on November 14?$131
Will the highest temperature in New York City be between 56-57°F on November 2?$126
Will the highest temperature in New York City be between 42-43°F on December 17?$121
Will the highest temperature in New York City be between 77-78°F on September 26?$105
Will the highest temperature in NYC be between 64-65°F on March 22?$103
Top Losers
Will the highest temperature in Qingdao be 21°C on May 16?$-3,668
Will the highest temperature in New York City be between 38-39°F on January 6?$-1,683
Will the highest temperature in NYC be 59°F or higher on March 25?$-1,519
Will the highest temperature in London be between 63-64°F on November 4?$-1,066
Will the highest temperature in New York City be between 72-73°F on September 17?$-1,046
Will the highest temperature in Jakarta be 32°C on May 8?$-962
Will the highest temperature in Warsaw be 12°C on May 8?$-955
Will the highest temperature in Seattle be 61°F or below on May 6?$-896
Will the highest temperature in London be between 61-62°F on April 5?$-762
Will the highest temperature in Seattle be between 56-57°F on April 27?$-728
Risk Metrics
#4Sharpe
-0.030
Sortino
-0.013
HHI
9
Diversified
EV per $1
$-0.005
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
0.6%
Top-5 markets
2.3%
Behavior Analysis
#5Trades / Day
13.9
Active
Markets / Day
3.7
Active Hours
24/24
Around the clock
Peak Hour
18:00 UTC
Median Gap
3.5m
between trades
Avg Gap
3.4h
between trades
Night Trading
7%
22:00–06:00 UTC
Size Variance
0.81
Variable
Session Statistics
Sessions
50
Avg Duration
10 min
Avg Trades / Session
40.8
Bot Detection
#620
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 210s — normal for humanCV 0.81 — diverse sizes (human-like)7% night trades — normal pattern24/24 hours — around the clock14 trades/day — very active3.7 markets/day — normal12% maker — normal mix
Timing Patterns
#7Peak hour: 18:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
3.73
Price Levels
#9Low (<20c)0.2%
Mid (20-55c)0.8%
High (>55c)99%
Sessions
#125/5/2026, 6:10:08 PM54 trades$7,64914 min
5/12/2026, 6:49:59 PM26 trades$7,6006 min
5/10/2026, 6:15:01 PM79 trades$6,33619 min
5/2/2026, 6:35:28 PM79 trades$5,80717 min
6/12/2026, 7:00:27 PM96 trades$5,70613 min
6/19/2026, 7:16:11 PM102 trades$5,24321 min
6/15/2026, 9:04:04 PM77 trades$5,00621 min
5/11/2026, 1:17:06 PM36 trades$4,8868 min
5/13/2026, 6:11:43 PM38 trades$4,75911 min
5/14/2026, 9:34:14 PM67 trades$4,0589 min
6/17/2026, 10:23:28 AM42 trades$3,8929 min
5/9/2026, 6:20:06 PM44 trades$3,87415 min
5/3/2026, 6:18:42 PM76 trades$3,86011 min
3/5/2026, 10:07:39 PM8 trades$3,7687 min
6/10/2026, 8:39:40 PM56 trades$3,68114 min
5/6/2026, 10:43:12 AM47 trades$3,67314 min
3/8/2026, 7:14:11 PM8 trades$3,65910 min
5/8/2026, 9:31:57 AM68 trades$3,5748 min
3/6/2026, 7:03:37 PM8 trades$3,56312 min
5/14/2026, 9:51:42 PM27 trades$3,5365 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
03-17
06-16
08-30
11-07
01-26
04-23
07-30
Faded bars = markets ending in the future (PnL from early exits)
Max drawdown: 10 days (not recovered)
Profile
#14Specialization
WEATHER
100% weather
Holding Style
ACTIVE SELLER
65.9% sell
DCA Style
MODERATE
avg 3.73/mkt
Entry Bias
HIGH $
L0.2 / M0.8 / H99