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Small-Notebook

@Small-Notebook

#2,66636

0x331bf91c132af9d921e1908ca0979363fc47193f

308d· 1848 markets · 2916 tradesVol: $1,643,508 @BeefSlayer_2026-07-20T13:52
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 0.47x0/15
HHI 18710/10
Profit Days 55%6/10
DD/Peak 82047%0/10

Summary

Small-Notebook is a moderately active trader on Polymarket, with 2,916 trades across 583 markets over 305 days. Ranked #2666 on the global PnL leaderboard, they have achieved a net profit of $67,610.76 from a total trading volume exceeding $1.6 million. Despite this positive return, their Smart Score of 36/100 and a slightly negative Sharpe ratio of -0.16 indicate below-average risk-adjusted performance compared to peers.

This trader predominantly focuses on weather markets, which make up 96% of their activity, and adopts a contrarian style as suggested by their badges. Small-Notebook maintains a win rate of 63.4% but has a low profit factor of 0.47, implying that losses tend to be larger than gains. Their sell percentage is 24%, indicating a preference for holding positions rather than frequent exits. The upward equity trend shows steady portfolio growth, though their low bot score suggests manual trading with fast decision-making.

Small-Notebook’s key strength lies in their consistency and niche specialization in weather markets, which helps them capitalize on specific knowledge areas within Polymarket. However, the low profit factor and negative Sharpe ratio highlight potential risks in managing downside exposure. The relatively short maximum drawdown duration of zero days indicates limited prolonged losing streaks, but the overall below-average risk metrics warrant caution regarding long-term volatility.

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

Badges

7
Sniper
Win Rate 98%
Profitable
PnL $+67,611
Lottery Player
36% entries <$0.20
Contrarian
55% entries <$0.50
Weather Pro
96% weather
Win Streak
69 wins in a row
Whale
$164,803

Categories

9
🌤️ WEATHER#11$67,099Vol: $1,572,750
📢 MENTIONS#3,263$281Vol: $25,883
🎭 CULTURE#787,805$-201Vol: $15,624
SPORTS#61,833$411Vol: $14,349
🏛️ POLITICS#74,634$73Vol: $8,774
CRYPTO#1,498,449$-158Vol: $2,874
💰 FINANCE#22,699$63Vol: $2,363
💻 TECH#12,694$20Vol: $520
📈 ECONOMICS#25,314$23Vol: $372

Overview

#1
Net PnL
$67,611
Polymarket official
Total Volume
$1,643,508
Total Redeem
$92,922
Portfolio
$930
Predictions
1848
total markets
Trades
2229B / 687S
Daily Volume
$540
Account Age
308d
since Sep 17, 2025

Periods

#2
Today
$-1
Vol: $0
Week
$-1
Vol: $100
Month
$-173
Vol: $39,911
All Time
$67,611
Vol: $1,643,508

PnL Analysis

#3
Win Rate (events)
98%
193W / 3L events
Realized PnL
$75,493
Win Rate
63%
241W / 139L
Profit Factor
0.47x
Avg Win
$142
Avg Loss
$-529

Top Winners

Will the highest temperature in San Francisco be 78°F or higher o$2,256
Will the highest temperature in New York City be between 78-79°F $1,505
Will the highest temperature in Seoul be 20°C on April 25?$1,149
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$928
Will the highest temperature in New York City be between 60-61°F $903
Will the highest temperature in Dallas be 74°F or higher on April$898
Will the highest temperature in Denver be between 78-79°F on Marc$856

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$-3,419
Will the highest temperature in Chicago be between 46-47°F on Mar$-2,887
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$-1,661
Will the highest temperature in Chicago be between 24-25°F on Mar$-1,556

Risk Metrics

#4
Sharpe
-0.159
Sortino
-0.122
HHI
187
Diversified
EV per $1
$-0.253
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
6.5%
Top-5 markets
25.4%

Behavior Analysis

#5
Trades / Day
11.4
Active
Markets / Day
2.3
Active Hours
24/24
Around the clock
Peak Hour
20:00 UTC
Median Gap
4.6m
between trades
Avg Gap
1.2h
between trades
Night Trading
18%
22:00–06:00 UTC
Size Variance
4.46
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 274s — typical for humanSize CV 4.45 — diverse, typical for human18% at night — different timezone?24/24 hours — around the clockSession CV 1.03 — human randomness11 trades/day — very active

Timing Patterns

#7

Peak hour: 20:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
3.8
Moderate DCA
<=1
211 entries
<=2
308 entries
<=5
470 entries
<=10
544 entries
<=20
574 entries
<=50
583 entries
>50
0 entries

Price Levels

#9
Low (<20c)35.5%
Mid (20-55c)23%
High (>55c)41.5%

City Stats

#10

YES bias: 55.1%

Seoul$5,257
San Francisco$2,393
Austin$1,872
Denver$1,100
Houston$739
Dallas$450
Los Angeles$364
London$70
Shenzhen$44
Toronto$1
Seattle$-1,327
Other$-2,928
Atlanta$-8,871
Chicago$-9,172
Miami$-11,026
New York City$-18,302

Bracket Analysis

#11
Avg brackets/event
1.6
Events covered
368

Single bracket

<=1
211 brackets
<=2
329 brackets
<=3
354 brackets
<=4
364 brackets
<=5
367 brackets
<=8
368 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
01-04
02-07
03-16
04-12
05-14
07-15

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

Profile

#14
Specialization
WEATHER
95.9% weather
Holding Style
ACTIVE SELLER
23.6% sell
DCA Style
MODERATE
avg 3.8/mkt
Hedging
SINGLE
avg 1.6 br/event