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evytd

@evytd

#1,820,547100

0xb8b115ec8d8e235194c101021ae176935448513a

175d· 1750 markets · 1636 tradesVol: $16,1792026-07-01T11:53
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 93%20/20
Profit Factor 4.59x15/15
Sharpe 0.98915/15
Sortino 12.74310/10
EV $+0.66410/10
HHI 2010/10
Profit Days 92%10/10
DD/Peak 1%10/10

Summary

Evytd is a moderately active trader on Polymarket with 1,636 trades over 153 days. Despite a high trading frequency and a substantial total volume of $16,179, evytd currently holds a net PnL of -$11.09 and ranks #1,820,547 on the global PnL leaderboard. Their portfolio value is stable but low at $8.21, supported by a perfect Smart Score of 100/100, indicating elite trading skill despite the slight net loss.

Evytd’s strategy heavily focuses on weather markets, which make up 94% of their trades, demonstrating a clear thematic preference. They exhibit a high win rate of 90.5% and a profit factor of 4.59, suggesting a selective and effective approach. Their risk profile appears moderate, with a Sharpe ratio close to 1. Timing-wise, evytd maintains a low sell percentage of 13% and achieves a flat equity trend, implying a steady, patient style rather than rapid turnover or speculative timing.

Key strengths for evytd include a strong win rate, elite Smart Score, and consistent performance in niche markets like weather. However, the modest portfolio value and negative net PnL highlight potential concerns around capital preservation or trade sizing. Additionally, the low bot score suggests human decision-making, which might affect scalability or speed. Overall, evytd’s data on Polymarket reflects disciplined, specialized trading with room for growth in profitability.

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

Badges

7
Sniper
Win Rate 93%
Lottery Player
35% entries <$0.20
Contrarian
80% entries <$0.50
Weather Pro
94% weather
Win Streak
104 wins in a row
Consistent
73/79 days
Cool Head
DD 1%

Categories

8
🌤️ WEATHER#256,264$-25Vol: $14,980
🎭 CULTURE#102,183$4Vol: $636
SPORTS#286,954$8Vol: $295
🏛️ POLITICS#220,244$5Vol: $215
📢 MENTIONS#45,260$0Vol: $10
CRYPTO#840,196$-1Vol: $4
💻 TECH#179,801$-1Vol: $2
💰 FINANCE#172,138$0Vol: $1

Overview

#1
Net PnL
$-11
Polymarket official
Total Volume
$16,179
Total Redeem
$1,357
Portfolio
$8
Predictions
1750
total markets
Trades
1429B / 207S
Daily Volume
$12
Account Age
175d
since Jan 9, 2026

Periods

#2
Today
$-2
Vol: $0
Week
$-2
Vol: $0
Month
$-2
Vol: $0
All Time
$-11
Vol: $16,179

PnL Analysis

#3
Win Rate (events)
96%
247W / 9L events
Realized PnL
$1,193
Win Rate
90%
332W / 35L
Profit Factor
4.59x
Avg Win
$2
Avg Loss
$-5

Outlier Sensitivity: Top-3 = $30 (4.9% of PnL)

Top Winners

Will the highest temperature in Ankara be 21°C on April 16?$10
Will the highest temperature in Munich be 18°C on April 16?$10
Will the highest temperature in Istanbul be 12°C on April 16?$10
Will the highest temperature in Jeddah be 39°C on April 16?$10
Will the highest temperature in London be 18°C on April 16?$10
Will the highest temperature in Milan be 24°C on April 16?$10
Will the highest temperature in Buenos Aires be 22°C on May 12?$9
Will the highest temperature in Dallas be between 86-87°F on May $9
Will the highest temperature in London be 21°C on April 9?$9
Will the highest temperature in New York City be between 60-61°F $9

Top Losers

Will the highest temperature in Buenos Aires be 19°C on April 5?$-16
Will the highest temperature in Milan be 21°C on April 10?$-15
Will the highest temperature in Istanbul be 17°C on March 31?$-9
Will the highest temperature in Seattle be between 52-53°F on Apr$-9
Will the highest temperature in London be 15°C on April 4?$-8
Will the highest temperature in Dallas be between 82-83°F on Apri$-8
Porsche Tennis Grand Prix: Leylah Fernandez vs Zeynep Sonmez$-7
Will the highest temperature in Miami be between 80-81°F on March$-7
Will the highest temperature in Atlanta be between 66-67°F on Mar$-7
Will the highest temperature in Madrid be 19°C on April 1?$-6

Risk Metrics

#4
Sharpe
0.989
Sortino
12.743
HHI
20
Diversified
EV per $1
$0.664
Kelly %
82.5%
Half-Kelly
41.3%
Top-1 market
1.2%
Top-5 markets
4.6%

Behavior Analysis

#5
Trades / Day
18.0
Active
Markets / Day
12.0
Active Hours
23/24
Around the clock
Peak Hour
13:00 UTC
Median Gap
4.7m
between trades
Avg Gap
1.0h
between trades
Night Trading
9%
22:00–06:00 UTC
Size Variance
1.10
Variable
Session Statistics
Sessions
50
Avg Duration
0 min
Avg Trades / Session
1.5

Bot Detection

#6
30
LIKELY HUMAN (fast interface)LOW probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
MEDIUM
Median gap 282s — typical for humanSize CV 1.10 — diverse, typical for human9% at night — normal sleep pattern23/24 hours — around the clockSession CV 0.83 — human randomness18 trades/day — very active12 markets/day — mass coverage

Timing Patterns

#7

Peak hour: 13:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
1.4
Single entry
<=1
766 entries
<=2
979 entries
<=5
1040 entries
<=10
1043 entries
<=20
1044 entries
<=50
1044 entries
>50
0 entries

Price Levels

#9
Low (<20c)35%
Mid (20-55c)49.1%
High (>55c)16%

City Stats

#10

YES bias: 72.8%

London$54
Toronto$40
Buenos Aires$39
Istanbul$37
Madrid$37
Sao Paulo$35
Amsterdam$35
Munich$34
Other$30
Paris$29
Ankara$27
New York City$23
Helsinki$22
Moscow$22
Panama City$18
Warsaw$18
Los Angeles$16
Milan$15

Bracket Analysis

#11
Avg brackets/event
1.7
Events covered
651

Single bracket

<=1
299 brackets
<=2
581 brackets
<=3
640 brackets
<=4
646 brackets
<=5
649 brackets
<=8
650 brackets
>8
1 brackets

Sessions

#12
3/28/2026, 12:36:33 PM1 trades$30 min
3/28/2026, 12:46:33 PM1 trades$10 min
3/28/2026, 5:02:15 PM1 trades$30 min
3/28/2026, 7:21:02 PM2 trades$35 min
3/29/2026, 6:16:34 PM1 trades$40 min
3/29/2026, 6:28:34 PM1 trades$40 min
3/29/2026, 6:35:02 PM1 trades$70 min
3/30/2026, 5:07:39 PM3 trades$50 min
3/31/2026, 10:18:09 AM2 trades$91 min
4/1/2026, 12:47:39 PM1 trades$50 min
4/1/2026, 1:01:47 PM2 trades$61 min
4/1/2026, 1:48:29 PM1 trades$20 min
4/1/2026, 1:54:05 PM1 trades$10 min
4/1/2026, 2:00:07 PM1 trades$20 min
4/1/2026, 4:21:41 PM1 trades$50 min
4/2/2026, 1:03:31 PM2 trades$20 min
4/2/2026, 1:10:35 PM1 trades$20 min
4/2/2026, 4:47:51 PM1 trades$60 min
4/2/2026, 7:16:49 PM1 trades$50 min
4/2/2026, 8:08:37 PM3 trades$82 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
01-28
03-26
04-10
04-25
05-10
05-25
06-30

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

Profile

#14
Specialization
WEATHER
94.1% weather
Holding Style
HOLD
12.7% sell
DCA Style
SINGLE
avg 1.4/mkt
Hedging
SINGLE
avg 1.7 br/event