Polydata

@opopv

#6,36275

0x116db6298abcdefe06f9f5458c293c7de185fbf1

23d· 594 markets · 3427 tradesVol: $1,491,8452026-04-29T13:36
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.

75
Very Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 92%20/20
Profit Factor 0.05x0/15
Sharpe 1.21015/15
Sortino 946421.23610/10
HHI 6310/10
Profit Days 95%10/10
DD/Peak 0%10/10

Summary

The trader opopv is a moderately active participant on Polymarket, having completed 3,427 trades across 404 markets within just 21 days. Ranked #6362 on the global profit and loss leaderboard, opopv has achieved a net PnL of $19,326.61 on a total trading volume of nearly $1.5 million. Their portfolio value stands at $15,961.53, supported by a smart score of 75 out of 100, indicating strong overall performance.

Opopv’s trading strategy is highly specialized, focusing exclusively on weather markets. Their style combines automated trading methods, as reflected by a bot score of 70, with a disciplined approach that includes dollar-cost averaging techniques. With a win rate of 68.5% and a Sharpe ratio of 1.21, opopv demonstrates a balanced risk profile, managing volatility effectively. The sell percentage of 35% suggests a selective exit strategy, maintaining positions when appropriate while locking in gains when necessary.

Strengths for opopv include a very good smart score and consistent profitability in a niche market segment. The stable equity trend and zero-day max drawdown duration further highlight effective risk management. However, the relatively low profit factor of 0.05 could indicate tight margins or high trading costs, which could limit scalability. Overall, opopv’s focused approach on Polymarket’s weather markets shows promise, but monitoring trade efficiency and execution costs remains important.

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

Badges

11
Sniper
Win Rate 92%
Profitable
PnL $+19,327
DCA Master
avg 5.5 entries/market
Weather Pro
100% weather
Bot
Score 70/100
Hedger
avg 2.7 brackets/event
Win Streak
64 wins in a row
Whale
$931,122
Consistent
21/22 days
High Roller
$44,339/day
Cool Head
DD 0%

Categories

1
🌤️ WEATHER#57$19,327Vol: $1,491,845

Overview

#1
Net PnL
$19,327
Polymarket official
Total Volume
$1,491,845
Total Redeem
$463,718
Portfolio
$15,962
Predictions
594
total markets
Trades
2219B / 1208S
Daily Volume
$44,339
Account Age
23d
since Apr 7, 2026

Periods

#2
Today
$4
Vol: $36,033
Week
$19,327
Vol: $202,293
Month
$19,327
Vol: $1,491,845
All Time
$19,327
Vol: $1,491,845

PnL Analysis

#3
Win Rate (events)
91%
120W / 12L events
Realized PnL
$24,330
Win Rate
68%
267W / 123L
Profit Factor
0.05x
Avg Win
$53
Avg Loss
$-2,515

Top Winners

Will the highest temperature in Seoul be 20°C on April 25?$1,083
Will the highest temperature in Chengdu be 31°C on April 25?$843
Will the highest temperature in Chengdu be 29°C on April 25?$448
Will the highest temperature in Seoul be 19°C or higher on April $423
Will the highest temperature in Taipei be 28°C on April 19?$379
Will the highest temperature in Shanghai be 21°C on April 19?$344
Will the highest temperature in Shenzhen be 19°C on April 24?$330
Will the highest temperature in Beijing be 23°C on April 20?$317
Will the highest temperature in Hong Kong be 29°C on April 28?$300
Will the highest temperature in Shanghai be 19°C on April 20?$296

Top Losers

Will the highest temperature in Taipei be 34°C or higher on April$-13,490
Will the highest temperature in Taipei be 32°C on April 15?$-10,515
Will the highest temperature in Seoul be 11°C on April 11?$-10,509
Will the highest temperature in Wuhan be 21°C on April 16?$-8,198
Will the highest temperature in Taipei be 32°C on April 12?$-8,117
Will the highest temperature in Seoul be 20°C on April 18?$-7,924
Will the highest temperature in Taipei be 32°C on April 14?$-7,837
Will the highest temperature in Taipei be 34°C on April 12?$-7,015
Will the highest temperature in Taipei be 27°C on April 18?$-6,545
Will the highest temperature in Beijing be 21°C or below on April$-5,633

Risk Metrics

#4
Sharpe
1.210
Sortino
inf
HHI
63
Diversified
EV per $1
$-0.323
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
3.3%
Top-5 markets
9%

Behavior Analysis

#5
Trades / Day
169.2
Very active
Markets / Day
19.9
Active Hours
24/24
Around the clock
Peak Hour
6:00 UTC
Median Gap
30s
between trades
Avg Gap
9.9m
between trades
Night Trading
44%
22:00–06:00 UTC
Size Variance
2.49
Variable
Session Statistics
Sessions
50
Avg Duration
4 min
Avg Trades / Session
5.9

Bot Detection

#6
70
BOT (automated trading)HIGH probability

7 indicators analyzed

Trade Speed
HIGH
Night Activity
MEDIUM
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
Median gap 30s — typical for humanSize CV 2.49 — diverse, typical for human44% at night — bot never sleeps24/24 hours — around the clockSession CV 1.21 — human randomness169 trades/day — automation20 markets/day — mass coverage

Timing Patterns

#7

Peak hour: 6:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
5.5
Active DCA
<=1
97 entries
<=2
140 entries
<=5
258 entries
<=10
344 entries
<=20
393 entries
<=50
404 entries
>50
0 entries

Price Levels

#9
Low (<20c)2.3%
Mid (20-55c)3.9%
High (>55c)93.8%

City Stats

#10

YES bias: 42.7%

Hong Kong$-7,383
Shanghai$-11,631
Chongqing$-13,649
Chengdu$-19,356
Wuhan$-20,478
Shenzhen$-23,172
Beijing$-30,082
Seoul$-61,970
Taipei$-107,529

Bracket Analysis

#11
Avg brackets/event
2.7
Events covered
150

Moderate coverage

<=1
41 brackets
<=2
77 brackets
<=3
112 brackets
<=4
135 brackets
<=5
140 brackets
<=8
149 brackets
>8
1 brackets

Sessions

#12
4/9/2026, 5:32:49 AM2 trades$700 min
4/9/2026, 5:57:43 AM10 trades$8084 min
4/9/2026, 6:08:09 AM2 trades$3,4630 min
4/9/2026, 6:32:27 AM9 trades$4,5161 min
4/9/2026, 6:40:17 AM1 trades$20 min
4/9/2026, 6:47:27 AM7 trades$3,6141 min
4/9/2026, 6:58:37 AM1 trades$1180 min
4/9/2026, 7:06:53 AM30 trades$2,17941 min
4/9/2026, 8:00:47 AM13 trades$5,2458 min
4/9/2026, 8:15:27 AM1 trades$1120 min
4/9/2026, 8:24:47 AM1 trades$80 min
4/9/2026, 8:39:31 AM2 trades$101 min
4/9/2026, 8:50:35 AM1 trades$50 min
4/9/2026, 9:23:09 AM6 trades$1314 min
4/9/2026, 9:35:59 AM2 trades$112 min
4/9/2026, 9:44:35 AM1 trades$50 min
4/9/2026, 9:50:45 AM1 trades$80 min
4/9/2026, 9:57:43 AM3 trades$2424 min
4/9/2026, 10:30:05 AM1 trades$60 min
4/9/2026, 10:36:01 AM2 trades$102 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
04-08
04-11
04-14
04-17
04-20
04-23
04-26
04-29

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

Profile

#14
Specialization
WEATHER
100% weather
Holding Style
ACTIVE SELLER
35.2% sell
DCA Style
HEAVY
avg 5.5/mkt
Hedging
SINGLE
avg 2.7 br/event