Polydata
Low-Futon

@Low-Futon

#3,047,02989

0xc21ea96be762bb55041529af6e386e7c53b80215

243d· 2203 markets · 142462 tradesVol: $201,462,348 @SkewDealer2026-07-20T13:06
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.

89
Elite
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 87%20/20
Profit Factor 20.17x15/15
Sharpe 0.2344/15
Sortino 8790571.25010/10
EV $+5.62910/10
HHI 27010/10
Profit Days 100%10/10
DD/Peak 0%10/10

Summary

Low-Futon is a highly active trader on Polymarket with over 142,000 trades executed across 244 markets over 523 days. Despite a negative net PnL of approximately $163,000, Low-Futon maintains a portfolio value of $46,338 and holds an elite Smart Score of 89 out of 100. Ranked around #3,047,029 globally by profit and loss, this trader demonstrates significant engagement and volume, totaling over $201 million, with a high win rate of 89.2%.

The trading style of Low-Futon appears to be systematic and largely automated, supported by a bot score of 70 out of 100 and badges such as Sniper, Contrarian, and DCA Master. This suggests a preference for disciplined entries and risk management, with a nearly even sell percentage indicating balanced position adjustments. Low-Futon favors diverse markets but excludes weather markets entirely. The profit factor of 20.59 and low Sharpe ratio of 0.23 indicate high volatility and potential inconsistency in returns, despite an overall upward equity trend and zero days of max drawdown duration.

Low-Futon's strengths lie in high trade volume, strong win rate, and disciplined automated strategies that enable steady portfolio growth. However, the substantial negative net PnL and low Sharpe ratio highlight risks related to capital preservation and return stability. The trader’s contrarian approach and reliance on automation may yield edge cases but also expose exposure to market shifts or bot errors, warranting close monitoring for long-term viability on Polymarket.

Analysis based on the last 250 closed positions. Full trading history — coming soon.

Badges

8
Sniper
Win Rate 87%
Lottery Player
100% entries <$0.20
Contrarian
100% entries <$0.50
DCA Master
avg 422.5 entries/market
Bot
Score 70/100
Hedger
avg 11.0 brackets/event
Win Streak
40 wins in a row
Consistent
53/53 days

Categories

7
🏛️ POLITICS#1,245$39,432Vol: $114,146,642
SPORTS#1,874,437$-212,884Vol: $58,823,924
🎭 CULTURE#2,530$2,628Vol: $11,383,306
📈 ECONOMICS#1,042$4,557Vol: $10,983,470
💰 FINANCE#2,970$1,536Vol: $6,107,175
💻 TECH#951$1,627Vol: $12,349
CRYPTO#48,140$378Vol: $1,700

Overview

#1
Net PnL
$-163,162
Polymarket official
Total Volume
$201,462,348
Total Redeem
$0
Portfolio
$46,338
Predictions
2203
total markets
Trades
72667B / 69795S
Daily Volume
$95
Account Age
243d
since Nov 19, 2025

Periods

#2
Today
$-92,807
Vol: $973,150
Week
$-92,807
Vol: $1,919,618
Month
$-136,668
Vol: $17,580,298
All Time
$-163,162
Vol: $201,462,348

PnL Analysis

#3
Win Rate (events)
99%
82W / 1L events
Realized PnL
$502,324
Win Rate
89%
83W / 10L
Profit Factor
20.59x
Avg Win
$1,064
Avg Loss
$-429

Outlier Sensitivity: Top-3 = $43,633 (51.9% of PnL)

Top Winners

Will Argentina win the 2026 FIFA World Cup?$33,703
Will J.D. Vance win the 2028 Republican presidential nomination?$5,775
Will Marco Rubio win the 2028 Republican presidential nomination?$4,154
Will Jordan Bardella win the 2027 French presidential election?$3,682
Will Édouard Philippe win the 2027 French presidential election?$3,401
Will Raphael Warnock win the 2028 Democratic presidential nominat$2,197
Will JD Vance win the 2028 US Presidential Election?$1,916
Will Gavin Newsom win the 2028 Democratic presidential nomination$1,808
Will Gavin Newsom win the 2028 US Presidential Election?$1,679
Will Barack Obama win the 2028 Democratic presidential nomination$1,448

Top Losers

Will Tom Brady win the 2028 Republican presidential nomination?$-1,067
Will Erika Kirk win the 2028 Republican presidential nomination?$-996
Will Eric Trump win the 2028 US Presidential Election?$-610
Will Ro Khanna win the 2028 US Presidential Election?$-578
Will Donald Trump Jr. win the 2028 US Presidential Election?$-427
Will Stephen A. Smith win the 2028 Democratic presidential nomina$-217
Will Jamie Dimon win the 2028 US Presidential Election?$-171
Will Isack Hadjar be the 2026 F1 Drivers' Champion?$-119
Will Michel Barnier win the 2027 French presidential election?$-54
Will Michelle Obama win the 2028 Democratic presidential nominati$-51

Risk Metrics

#4
Sharpe
0.234
Sortino
inf
HHI
270
Diversified
EV per $1
$5.629
Kelly %
88.7%
Half-Kelly
44.3%
Top-1 market
8.9%
Top-5 markets
26.8%

Behavior Analysis

#5
Trades / Day
618.4
Very active
Markets / Day
1.1
Active Hours
24/24
Around the clock
Peak Hour
3:00 UTC
Median Gap
22s
between trades
Avg Gap
1.8m
between trades
Night Trading
27%
22:00–06:00 UTC
Size Variance
22.28
Variable
Session Statistics
Sessions
50
Avg Duration
0 min
Avg Trades / Session
1.4

Bot Detection

#6
70
BOT (automated trading)HIGH probability

7 indicators analyzed

Trade Speed
HIGH
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
LOW
Median gap 22s — typical for humanSize CV 22.28 — diverse, typical for human27% at night — bot never sleeps24/24 hours — around the clockSession CV 0.86 — human randomness618 trades/day — automation407 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 3:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
422.5
Heavy DCA
<=1
9 entries
<=2
9 entries
<=5
9 entries
<=10
10 entries
<=20
13 entries
<=50
19 entries
>50
153 entries

Price Levels

#9
Low (<20c)100%
Mid (20-55c)0%
High (>55c)0%

City Stats

#10

YES bias: 100%

Other$82,189
Los Angeles$890
Seattle$700
San Francisco$278
Mousavian$0
Hatt$0

Bracket Analysis

#11
Avg brackets/event
11
Events covered
22

Multi-bracket hedger

<=1
4 brackets
<=2
6 brackets
<=3
6 brackets
<=4
6 brackets
<=5
6 brackets
<=8
12 brackets
>8
10 brackets

Sessions

#12
12/2/2025, 4:24:06 AM1 trades$00 min
12/2/2025, 5:43:24 AM2 trades$20 min
12/2/2025, 8:42:08 AM1 trades$10 min
12/2/2025, 10:21:20 AM1 trades$00 min
12/2/2025, 3:43:50 PM2 trades$10 min
12/2/2025, 10:01:19 PM1 trades$00 min
12/2/2025, 10:56:15 PM1 trades$10 min
12/2/2025, 11:03:41 PM3 trades$13 min
12/2/2025, 11:13:17 PM1 trades$00 min
12/3/2025, 7:57:37 AM1 trades$00 min
12/3/2025, 3:09:39 PM1 trades$00 min
12/3/2025, 4:44:37 PM1 trades$00 min
12/4/2025, 1:01:33 PM3 trades$1557 min
12/9/2025, 9:58:01 AM3 trades$01 min
12/9/2025, 10:05:29 AM2 trades$01 min
12/9/2025, 1:11:54 PM1 trades$00 min
12/9/2025, 2:29:30 PM3 trades$00 min
12/14/2025, 6:37:01 PM1 trades$100 min
12/15/2025, 12:33:01 AM1 trades$00 min
12/15/2025, 9:10:57 AM1 trades$00 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
01-01
01-20
03-01
04-14
05-31
07-12
12-06

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

Profile

#14
Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
49% sell
DCA Style
HEAVY
avg 422.5/mkt
Hedging
MULTI
avg 11 br/event