Polydata
Small-Notebook

@Small-Notebook

#2,36836

0x331bf91c132af9d921e1908ca0979363fc47193f

263d· 1743 markets · 2966 tradesVol: $1,562,806 @BeefSlayer_2026-06-07T11:43
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.

36
Below Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 98%20/20
Profit Factor 0.52x0/15
HHI 18110/10
Profit Days 53%6/10
DD/Peak 74111%0/10

Summary

Small-Notebook is a moderately active trader on Polymarket, ranked #2368 on the global PnL leaderboard. With nearly 3,000 trades across 580 markets and a net profit of $65,543.42, this trader demonstrates consistent engagement over 251 days. Despite a substantial total volume exceeding $1.5 million, Small-Notebook’s portfolio value is relatively low at $184.11, reflecting either recent withdrawals or concentrated allocations. Their Smart Score of 36/100 and a below-average Sharpe ratio of -0.14 indicate some challenges in risk-adjusted returns.

Small-Notebook primarily focuses on weather-related markets, accounting for 97% of trades, and maintains a win rate of 65.8%. The trader exhibits a contrarian style, as suggested by their badges, and a low sell percentage of 21%, implying a preference for holding positions rather than frequent exits. Their profit factor of 0.52 suggests losses on some trades outweigh profits, yet the upward equity trend shows gradual growth. Timing patterns suggest they operate consistently rather than capitalizing on high-volatility spikes, likely employing a patient approach in weather markets.

The key strength of Small-Notebook lies in their specialization in weather markets and a steady upward equity trend despite a challenging profit factor. However, the below-average Smart Score and negative Sharpe ratio highlight risks related to volatility and risk management. Additionally, the low Bot Score indicates manual trading, which may limit speed but allows for strategic discretion. Overall, Small-Notebook’s performance reflects a disciplined but somewhat risky trading style on Polymarket.

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

Badges

7
Sniper
Win Rate 98%
Profitable
PnL $+65,543
Lottery Player
36% entries <$0.20
Contrarian
52% entries <$0.50
Weather Pro
97% weather
Win Streak
70 wins in a row
Whale
$180,723

Categories

9
🌤️ WEATHER#10$65,036Vol: $1,492,248
📢 MENTIONS#3,199$281Vol: $25,883
🎭 CULTURE#768,079$-154Vol: $15,524
SPORTS#60,525$359Vol: $14,249
🏛️ POLITICS#73,655$73Vol: $8,774
CRYPTO#1,415,443$-158Vol: $2,874
💰 FINANCE#21,336$63Vol: $2,363
💻 TECH#11,747$20Vol: $520
📈 ECONOMICS#24,009$23Vol: $372

Overview

#1
Net PnL
$65,543
Polymarket official
Total Volume
$1,562,806
Total Redeem
$113,246
Portfolio
$184
Predictions
1743
total markets
Trades
2348B / 618S
Daily Volume
$720
Account Age
263d
since Sep 17, 2025

Periods

#2
Today
$67
Vol: $3,554
Week
$807
Vol: $3,554
Month
$807
Vol: $22,928
All Time
$65,543
Vol: $1,562,806

PnL Analysis

#3
Win Rate (events)
99%
190W / 2L events
Realized PnL
$71,365
Win Rate
66%
252W / 131L
Profit Factor
0.52x
Avg Win
$135
Avg Loss
$-502

Top Winners

Will the highest temperature in San Francisco be 78°F or higher o$2,252
Will the highest temperature in New York City be between 78-79°F $1,495
Will the highest temperature in New York City be between 58-59°F $1,197
Will the highest temperature in Seoul be 20°C on April 25?$1,142
Will the highest temperature in New York City be between 56-57°F $1,076
Will the highest temperature in Austin be between 82-83°F on Apri$1,054
Will the highest temperature in Dallas be between 56-57°F on Marc$988
Will the highest temperature in New York City be 77°F or below on$926
Will the highest temperature in Dallas be 74°F or higher on April$898
Will the highest temperature in New York City be between 60-61°F $881

Top Losers

Will the highest temperature in New York City be between 46-47°F $-9,303
Will the highest temperature in Miami be between 82-83°F on Febru$-7,615
Will the highest temperature in New York City be between 32-33°F $-4,083
Will the highest temperature in Atlanta be between 64-65°F on Feb$-3,447
Will the highest temperature in New York City be 48°F or higher o$-3,419
Will the highest temperature in Atlanta be 66°F or higher on Febr$-2,782
Will the highest temperature in Chicago be 25°F or below on Febru$-1,904
Will the highest temperature in Chicago be between 50-51°F on Feb$-1,661
Minnesota Golden Gophers vs. Stanford Cardinal$-1,309
Will the highest temperature in Atlanta be 50°F or higher on Febr$-1,238

Risk Metrics

#4
Sharpe
-0.136
Sortino
-0.107
HHI
181
Diversified
EV per $1
$-0.190
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
5.9%
Top-5 markets
23.9%

Behavior Analysis

#5
Trades / Day
13.9
Active
Markets / Day
2.7
Active Hours
24/24
Around the clock
Peak Hour
20:00 UTC
Median Gap
4.1m
between trades
Avg Gap
1.0h
between trades
Night Trading
17%
22:00–06:00 UTC
Size Variance
4.33
Variable
Session Statistics
Sessions
50
Avg Duration
1 min
Avg Trades / Session
2.3

Bot Detection

#6
25
LIKELY HUMAN (fast interface)LOW probability

6 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 246s — typical for humanSize CV 4.33 — diverse, typical for human17% at night — different timezone?24/24 hours — around the clockSession CV 1.01 — human randomness14 trades/day — very active

Timing Patterns

#7

Peak hour: 20:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
4
Moderate DCA
<=1
192 entries
<=2
282 entries
<=5
456 entries
<=10
541 entries
<=20
571 entries
<=50
579 entries
>50
1 entries

Price Levels

#9
Low (<20c)35.9%
Mid (20-55c)19.4%
High (>55c)44.7%

City Stats

#10

YES bias: 56%

Seoul$3,497
San Francisco$2,389
Austin$1,764
Dallas$1,497
Seattle$1,143
Denver$1,100
Houston$727
Los Angeles$340
London$70
Toronto$1
Shenzhen$0
Other$-2,980
Chicago$-4,327
Atlanta$-7,939
Miami$-11,156
New York City$-17,753

Bracket Analysis

#11
Avg brackets/event
1.7
Events covered
342

Single bracket

<=1
180 brackets
<=2
292 brackets
<=3
323 brackets
<=4
337 brackets
<=5
340 brackets
<=8
342 brackets
>8
0 brackets

Sessions

#12
11/6/2025, 2:43:09 AM1 trades$1020 min
11/10/2025, 5:48:42 PM1 trades$140 min
11/10/2025, 5:54:38 PM1 trades$20 min
11/10/2025, 6:38:36 PM1 trades$220 min
11/11/2025, 6:59:43 AM1 trades$1220 min
11/11/2025, 10:52:05 PM4 trades$1061 min
11/12/2025, 12:13:49 PM4 trades$1351 min
11/12/2025, 8:45:21 PM1 trades$20 min
11/13/2025, 5:56:16 PM3 trades$601 min
11/13/2025, 6:09:30 PM2 trades$691 min
11/13/2025, 6:51:15 PM3 trades$2081 min
11/13/2025, 7:51:32 PM2 trades$2651 min
11/13/2025, 8:15:46 PM1 trades$1210 min
11/18/2025, 1:28:03 PM1 trades$00 min
11/18/2025, 2:54:27 PM1 trades$130 min
11/18/2025, 3:00:59 PM1 trades$60 min
11/18/2025, 5:05:43 PM1 trades$20 min
11/18/2025, 8:31:43 PM1 trades$700 min
11/18/2025, 8:55:51 PM1 trades$550 min
11/18/2025, 9:11:45 PM1 trades$20 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
11-10
12-19
01-28
03-04
03-30
04-27
06-07

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

Profile

#14
Specialization
WEATHER
96.6% weather
Holding Style
ACTIVE SELLER
20.8% sell
DCA Style
MODERATE
avg 4/mkt
Hedging
SINGLE
avg 1.7 br/event