BeefSlayer

@BeefSlayer

#2,75295

0x331bf91c132af9d921e1908ca0979363fc47193f

~239d· 1618 markets · 12144 tradesVol: $1,719,466 @BeefSlayer_2026-08-04 09:32:18
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.

95
Elite
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

60% (964/1615)14.8/20
3.83x (win $85,530 / loss $22,347)15/15
Annualised Sharpe 8.07115/15
Sortino 53.14710/10
$+0.1972 per $1 invested9.9/10
HHI 54 (1615 markets)10/10
170/232 profitable days (73%)10/10
Max DD 2% of peak ($1,056 / $64,239)10/10

Badges

8
Profitable
PnL $+67,195
Lottery Player
50% entries < $0.20
DCA Master
Avg 7.5 entries/market
Whale
$320,352 invested
Consistent
170/232 profitable days
Cool Head
Max DD 2%
Win Streak
17 wins in a row
🦉Night Owl
24/24 hours active

Categories

9
🌤️ WEATHER#11$66,621Vol: $1,645,581
📢 MENTIONS#3,293$281Vol: $28,644
🎭 CULTURE#794,896$-201Vol: $15,624
SPORTS#62,217$411Vol: $14,715
🏛️ POLITICS#74,716$73Vol: $8,774
CRYPTO#1,515,939$-158Vol: $2,874
💰 FINANCE#23,219$63Vol: $2,363
💻 TECH#12,967$20Vol: $520
📈 ECONOMICS#26,788$23Vol: $372

Overview

#1
Net PnL
$67,133
Polymarket official
Total Volume
$1,719,466
Total Redeem
$0
Portfolio
$0
Predictions
1618
total markets
Trades
7854B / 4290S
Daily Volume
$0
Account Age
~239d

Periods

#2
Today
$-236
Vol: $4,030
Week
$0
Vol: $24,456
Month
$-561
Vol: $49,220
All Time
$67,133
Vol: $1,719,466

PnL Analysis

#3

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

Win Rate (events)
60%
964W / 649L events
Realized PnL
$67,195
Win Rate
60%
964W / 649L
Profit Factor
3.83x
Avg Win
$89
Avg Loss
$-35

Outlier Sensitivity: Top-3 = $10,215 (0.15201641197204843% of PnL)

Top Winners

Will the highest temperature in Seattle be between 52-53°F on March 4?$4,103
Will the highest temperature in New York City be between 78-79°F on April 1?$3,127
Will the highest temperature in Atlanta be between 38-39°F on January 25?$2,985
Will the highest temperature in San Francisco be 78°F or higher on April 4?$2,804
Will the highest temperature in Seoul be 20°C on April 25?$2,390
Will the highest temperature in Atlanta be between 92-93°F on June 12?$1,927
Will the highest temperature in New York City be between 34-35°F on February 22?$1,832
Will the highest temperature in Chicago be 29°F or below on February 21?$1,768
Will the highest temperature in New York City be between 42-43°F on March 1?$1,583
Will the highest temperature in Seattle be between 52-53°F on December 9?$1,260

Top Losers

Will the highest temperature in New York City be between 94-95°F on June 12?$-1,232
Will the highest temperature in Seattle be between 50-51°F on March 4?$-915
Will NYC have between 5 and 6 inches of precipitation in July?$-504
Bengals vs. Ravens$-499
Will the highest temperature in Austin be between 80-81°F on June 15?$-417
Will the lowest temperature in New York City be between 76-77°F on August 2?$-417
Will the highest temperature in New York City be between 68-69°F on July 7?$-386
Will Donald Trump say "nuclear" 3+ times during Israel President events on December 29?$-374

Risk Metrics

#4
Sharpe
0.422
Sortino
1.883
HHI
74
Diversified
EV per $1
$0.198
Kelly %
21.9%
Half-Kelly
10.9%
Top-1 market
3.4%
Top-5 markets
13.7%

Behavior Analysis

#5
Trades / Day
37.8
Active
Markets / Day
5.0
Active Hours
24/24
Around the clock
Peak Hour
1:00 UTC
Median Gap
2.5m
between trades
Avg Gap
35.2m
between trades
Night Trading
25%
22:00–06:00 UTC
Size Variance
5.94
Variable
Session Statistics
Sessions
50
Avg Duration
5 min
Avg Trades / Session
10.2

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 152s — normal for humanCV 5.94 — diverse sizes (human-like)25% night trades — unusual hours24/24 hours — around the clock38 trades/day — high frequency5.0 markets/day — normal65% maker — normal mix

Timing Patterns

#7

Peak hour: 1:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
7.51
Active DCA

Price Levels

#9
Low (<20c)50.4%
Mid (20-55c)13.4%
High (>55c)36.2%

Sessions

#12
4/4/2026, 4:42:53 PM13 trades$10,3878 min
4/4/2026, 3:52:13 AM2 trades$8,9240 min
3/22/2026, 5:52:53 PM4 trades$6,4492 min
2/15/2026, 7:34:11 PM16 trades$6,07625 min
2/19/2026, 10:36:30 PM5 trades$5,8728 min
2/20/2026, 8:45:06 PM9 trades$4,42515 min
3/9/2026, 1:50:01 AM2 trades$4,0181 min
1/13/2026, 7:49:18 PM3 trades$3,7874 min
1/12/2026, 11:18:41 PM7 trades$3,4946 min
3/5/2026, 5:32:13 AM10 trades$3,45914 min
2/4/2026, 9:26:59 PM15 trades$3,38223 min
6/6/2026, 2:38:40 AM111 trades$3,28415 min
7/15/2026, 12:45:55 PM15 trades$3,2050 min
4/25/2026, 7:09:16 PM7 trades$3,1140 min
4/4/2026, 3:31:17 AM23 trades$2,8598 min
3/6/2026, 4:10:55 AM1 trades$2,7390 min
3/27/2026, 6:39:43 PM6 trades$2,73510 min
2/12/2026, 9:09:19 PM8 trades$2,58313 min
3/3/2026, 8:08:51 PM2 trades$2,5571 min
3/9/2026, 12:51:13 AM6 trades$2,4285 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
09-17
11-05
12-16
01-25
03-04
04-30
07-30

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

Max drawdown: 6 days (not recovered)

Profile

#14
Specialization
WEATHER
92% weather
Holding Style
ACTIVE SELLER
35.3% sell
DCA Style
HEAVY
avg 7.51/mkt
Entry Bias
LOW $
L50.4 / M13.4 / H36.2