Polydata

@Impressionable-Ship

#34,758100

0x04dcf8d1328b2bf5fa6e7aa8a200df95751cd572

98d· 22201 markets · 12945 tradesVol: $977,2782026-07-15T13:01
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.

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

Score Components

Win Rate 100%20/20
Profit Factor 30.42x15/15
Sharpe 1.39115/15
Sortino 5.39110/10
EV $+15.18410/10
HHI 5810/10
Profit Days 91%10/10
DD/Peak 2%10/10

Summary

Impressionable-Ship is an elite-level trader on Polymarket with a Smart Score of 100/100, ranking #34,758 globally based on net PnL. Over 94 active days, they have executed 12,945 trades across 639 markets, generating a net profit of $3,259.48 from a total volume of $977,278. Despite the high trading volume, their portfolio value remains at zero, indicating consistent profit-taking or full cash-outs. Their win rate of 78.8% and profit factor of 30.42 reflect strong overall trading performance.

The trader’s strategy focuses exclusively on weather markets, showing a clear niche preference. Impressionable-Ship demonstrates a high sell percentage of 90%, suggesting a short-term, active trading style with an emphasis on locking in gains quickly. Their Sharpe ratio of 1.39 indicates a favorable risk-adjusted return, while the zero-day max drawdown duration highlights strong risk management and quick recovery from any losses. The semi-bot score of 60/100 implies a hybrid approach combining automated and manual trading techniques.

Impressionable-Ship’s strengths lie in their consistent profitability, disciplined exit strategy, and deep specialization in weather markets, as reflected by badges like “Weather Pro” and “Sniper.” However, their exclusive focus on one market type may pose concentration risks if conditions shift unfavorably. Additionally, maintaining a flat equity trend suggests limited portfolio growth, which could signal a conservative position sizing or risk cap. Overall, their data-driven approach makes them a notable participant on Polymarket.

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

Badges

6
Sniper
Win Rate 100%
Profitable
PnL $+3,259
Weather Pro
100% weather
Win Streak
241 wins in a row
Consistent
42/46 days
Cool Head
DD 2%

Categories

1
🌤️ WEATHER#581$3,259Vol: $977,278

Overview

#1
Net PnL
$3,259
Polymarket official
Total Volume
$977,278
Total Redeem
$601
Portfolio
$0
Predictions
22201
total markets
Trades
1358B / 11587S
Daily Volume
$37
Account Age
98d
since Apr 8, 2026

Periods

#2
Week
$-1
Vol: $0
Month
$38
Vol: $14,164
All Time
$3,259
Vol: $977,278

PnL Analysis

#3
Win Rate (events)
100%
238W / 0L events
Realized PnL
$31,621
Win Rate
79%
334W / 90L
Profit Factor
30.42x
Avg Win
$105
Avg Loss
$-13

Outlier Sensitivity: Top-3 = $1,591 (4.7% of PnL)

Top Winners

Will the highest temperature in Hong Kong be 23°C on April 24?$656
Will the highest temperature in New York City be 77°F or below on$500
Will the highest temperature in Seoul be 17°C on April 17?$435
Will the highest temperature in Hong Kong be 31°C or higher on Ma$383
Will the highest temperature in Seoul be 18°C or higher on April $365
Will the highest temperature in Paris be 19°C on April 16?$316
Will the highest temperature in London be 22°C on April 9?$316
Will the highest temperature in London be 24°C on May 1?$300
Will the highest temperature in Hong Kong be 24°C on May 6?$297
Will the highest temperature in New York City be between 66-67°F $287

Top Losers

Will the highest temperature in Milan be 32°C on July 3?$-60
Will the highest temperature in London be 28°C on July 11?$-56
Will the highest temperature in New York City be between 102-103°$-54
Will the highest temperature in New York City be between 90-91°F $-42
Will the highest temperature in London be 27°C on July 11?$-39
Will the highest temperature in Buenos Aires be 11°C on July 3?$-33
Will the highest temperature in Hong Kong be 35°C on July 11?$-31
Will the highest temperature in New York City be between 104-105°$-30
Will the highest temperature in New York City be between 84-85°F $-29
Will the highest temperature in Moscow be 28°C on July 3?$-28

Risk Metrics

#4
Sharpe
1.391
Sortino
5.391
HHI
58
Diversified
EV per $1
$15.184
Kelly %
78.5%
Half-Kelly
39.3%
Top-1 market
1.7%
Top-5 markets
8.1%

Behavior Analysis

#5
Trades / Day
137.0
Very active
Markets / Day
6.8
Active Hours
24/24
Around the clock
Peak Hour
6:00 UTC
Median Gap
1.6m
between trades
Avg Gap
5.0m
between trades
Night Trading
26%
22:00–06:00 UTC
Size Variance
0.67
Variable
Session Statistics
Sessions
50
Avg Duration
7 min
Avg Trades / Session
6.2

Bot Detection

#6
60
SEMI-BOT (bot + manual)MEDIUM probability

6 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
LOW
Median gap 96s — typical for humanSize CV 0.67 — diverse, typical for human26% at night — bot never sleeps24/24 hours — around the clockSession CV 0.93 — human randomness137 trades/day — automation

Timing Patterns

#7

Peak hour: 6:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
3.4
Moderate DCA
<=1
157 entries
<=2
233 entries
<=5
327 entries
<=10
377 entries
<=20
395 entries
<=50
398 entries
>50
0 entries

Price Levels

#9
Low (<20c)22.3%
Mid (20-55c)19.1%
High (>55c)58.6%

City Stats

#10

YES bias: 5.3%

Hong Kong$6,494
Seoul$5,028
London$4,319
New York City$3,294
Paris$2,898
Shanghai$1,922
Munich$1,072
Tokyo$973
Wellington$804
Miami$769
Atlanta$669
Moscow$621
Istanbul$412
Denver$399
Taipei$380
Milan$372
Los Angeles$351
Chengdu$332

Bracket Analysis

#11
Avg brackets/event
1.5
Events covered
420

Single bracket

<=1
321 brackets
<=2
364 brackets
<=3
390 brackets
<=4
405 brackets
<=5
412 brackets
<=8
419 brackets
>8
1 brackets

Sessions

#12
4/8/2026, 7:11:03 AM5 trades$245 min
4/8/2026, 7:22:03 AM1 trades$50 min
4/8/2026, 7:39:53 AM4 trades$171 min
4/8/2026, 7:57:41 AM24 trades$9530 min
4/8/2026, 8:33:03 AM11 trades$444 min
4/8/2026, 8:43:27 AM20 trades$8834 min
4/8/2026, 9:23:47 AM6 trades$173 min
4/8/2026, 9:40:37 AM8 trades$326 min
4/8/2026, 9:51:35 AM21 trades$7926 min
4/8/2026, 10:26:11 AM7 trades$276 min
4/8/2026, 10:43:37 AM2 trades$42 min
4/8/2026, 10:52:55 AM1 trades$30 min
4/8/2026, 10:59:51 AM1 trades$50 min
4/8/2026, 11:13:07 AM1 trades$20 min
4/8/2026, 11:40:27 AM27 trades$9635 min
4/8/2026, 12:34:47 PM2 trades$31 min
4/8/2026, 12:41:37 PM5 trades$168 min
4/8/2026, 12:55:37 PM1 trades$10 min
4/8/2026, 1:05:45 PM7 trades$216 min
4/8/2026, 1:17:17 PM2 trades$83 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
04-08
04-15
04-22
04-29
05-06
05-13
07-03

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

Profile

#14
Specialization
WEATHER
100% weather
Holding Style
ACTIVE SELLER
89.5% sell
DCA Style
MODERATE
avg 3.4/mkt
Hedging
SINGLE
avg 1.5 br/event