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@Each-Caliber

#69,77214

0x45e606f7849330adad37875f835fbdd1b7868fca

85d· 2427 markets · 2594 tradesVol: $66,4422026-06-27T05:39
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.

14
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 18%0/20
Profit Factor 0.91x1/15
HHI 24210/10
Profit Days 42%3/10
DD/Peak 146%0/10

Summary

Each-Caliber is a moderately experienced trader on Polymarket, ranking #69,772 on the global PnL leaderboard with a net profit of $1,189.73. Over 263 days, they have executed 2,594 trades across 2,002 markets, accumulating a total trading volume of $66,442. Despite a high win rate of 95.9% and a profit factor of 79.65, the trader’s Sharpe ratio is slightly negative at -0.03, indicating limited risk-adjusted returns. The portfolio value currently stands at $285.82, and their Smart Score suggests a beginner level of trading sophistication.

Each-Caliber predominantly focuses on weather-related markets, which make up 97% of their trades. Their trading style is contrarian and characterized by a strong commitment to holding positions, as reflected in their zero sell percentage and the "Diamond Hands" badge. The trader appears to combine automated and manual strategies, with a Bot Score of 50/100, and maintains an upward equity trend with no significant drawdown periods. This approach suggests a preference for steady, long-term gains rather than quick speculative moves.

The strengths of Each-Caliber include a very high win rate and consistent profitability, supported by disciplined position holding and a contrarian strategy that potentially captures value in less crowded trades. However, the low Smart Score and negative Sharpe ratio highlight risks related to portfolio diversification and risk management. The heavy concentration in weather markets may also expose the trader to sector-specific volatility. Overall, Each-Caliber shows promising results on Polymarket but may benefit from refining risk controls and broadening market exposure.

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

Badges

5
Profitable
PnL $+1,190
Contrarian
83% entries <$0.50
Diamond Hands
0% sell
Weather Pro
97% weather
Win Streak
82 wins in a row

Categories

7
🌤️ WEATHER#1,344$1,099Vol: $62,388
🏛️ POLITICS#1,470,873$-79Vol: $2,536
SPORTS#177,018$34Vol: $655
💻 TECH#196,410$-3Vol: $229
🎭 CULTURE#474,044$-1Vol: $34
💰 FINANCE#140,526$1Vol: $13
CRYPTO#844,482$-1Vol: $6

Overview

#1
Net PnL
$1,190
Polymarket official
Total Volume
$66,442
Total Redeem
$16,143
Portfolio
$286
Predictions
2427
total markets
Trades
2588B / 6S
Daily Volume
$65
Account Age
85d
since Apr 6, 2026

Periods

#2
Today
$8
Vol: $78
Week
$386
Vol: $7,254
Month
$282
Vol: $18,669
All Time
$1,190
Vol: $66,442

PnL Analysis

#3
Win Rate (events)
20%
260W / 1014L events
Realized PnL
$3,947
Win Rate
96%
606W / 26L
Profit Factor
79.65x
Avg Win
$6
Avg Loss
$-2

Outlier Sensitivity: Top-3 = $516 (15.3% of PnL)

Top Winners

Will the highest temperature in Moscow be 23°C on June 22?$377
Will the highest temperature in Moscow be 18°C on June 25?$76
Will the highest temperature in Busan be 31°C on May 19?$62
Will the highest temperature in Moscow be 14°C on May 26?$41
Dota 2: BetBoom Team vs LGD Gaming (BO3) - BLAST Slam Playoffs$34
Dota 2: Aurora vs LGD Gaming - Game 1 Winner$34
Will the highest temperature in Moscow be 24°C on June 21?$34
Korea Republic vs. Czechia: O/U 2.5$33
Will the highest temperature in Moscow be 20°C on June 26?$29
Dota 2: Team Yandex vs LGD Gaming - Game 1 Winner$26

Top Losers

Will the highest temperature in Helsinki be 15°C on May 17?$-7
Will the highest temperature in Mexico City be 26°C on May 23?$-4
Will Pamela Evette win the 2026 South Carolina Governor Republica$-3
Will the highest temperature in Munich be 18°C on June 5?$-3
Will the highest temperature in Cape Town be 20°C on May 23?$-3
Will the highest temperature in Helsinki be 20°C on June 25?$-2
Will the highest temperature in Moscow be 17°C on June 17?$-2
Will the highest temperature in Amsterdam be 27°C on May 23?$-2
Will the highest temperature in Sao Paulo be 17°C on May 23?$-2
Will the highest temperature in Milan be 30°C on May 23?$-2

Risk Metrics

#4
Sharpe
-0.029
Sortino
-0.027
HHI
243
Diversified
EV per $1
$-0.085
Kelly %
94.1%
Half-Kelly
47.0%
Top-1 market
7.3%
Top-5 markets
26%

Behavior Analysis

#5
Trades / Day
36.2
Active
Markets / Day
27.9
Active Hours
24/24
Around the clock
Peak Hour
10:00 UTC
Median Gap
5.0m
between trades
Avg Gap
1.2h
between trades
Night Trading
3%
22:00–06:00 UTC
Size Variance
7.84
Variable
Session Statistics
Sessions
50
Avg Duration
0 min
Avg Trades / Session
1.2

Bot Detection

#6
50
SEMI-BOT (bot + manual)MEDIUM probability

8 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
HIGH
Median gap 300s — typical for humanSize CV 7.84 — diverse, typical for human3% at night — normal sleep pattern24/24 hours — around the clockSession CV 0.93 — human randomness36 trades/day — suspiciously high28 markets/day — mass coverage1621 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 10:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
1.3
Single entry
<=1
1533 entries
<=2
1932 entries
<=5
1998 entries
<=10
2001 entries
<=20
2002 entries
<=50
2002 entries
>50
0 entries

Price Levels

#9
Low (<20c)25.8%
Mid (20-55c)58.4%
High (>55c)15.8%

City Stats

#10

YES bias: 52.1%

Moscow$812
Other$219
Busan$130
London$112
Helsinki$109
Paris$107
Tel Aviv$104
Istanbul$102
Madrid$101
Munich$94
Seoul$92
Wuhan$90
Kuala Lumpur$86
Tokyo$84
Warsaw$83
Milan$80
Chengdu$79
Amsterdam$77

Bracket Analysis

#11
Avg brackets/event
1.4
Events covered
1413

Single bracket

<=1
886 brackets
<=2
1364 brackets
<=3
1406 brackets
<=4
1410 brackets
<=5
1412 brackets
<=8
1413 brackets
>8
0 brackets

Sessions

#12
4/16/2026, 9:55:40 AM6 trades$68 min
4/16/2026, 10:45:00 AM1 trades$10 min
4/16/2026, 11:19:00 AM1 trades$10 min
4/16/2026, 11:38:00 AM1 trades$10 min
4/16/2026, 12:40:30 PM1 trades$10 min
4/16/2026, 8:26:18 PM1 trades$10 min
4/17/2026, 4:34:38 AM1 trades$1,2560 min
4/17/2026, 4:44:46 AM1 trades$10 min
4/17/2026, 10:41:20 AM1 trades$10 min
4/17/2026, 10:47:06 AM1 trades$10 min
4/17/2026, 8:39:34 PM1 trades$10 min
4/18/2026, 5:55:56 AM2 trades$20 min
4/18/2026, 12:10:36 PM1 trades$10 min
4/18/2026, 5:40:42 PM1 trades$50 min
4/18/2026, 7:16:38 PM1 trades$10 min
4/19/2026, 3:00:58 AM1 trades$10 min
4/19/2026, 4:33:14 AM1 trades$10 min
4/19/2026, 10:19:16 AM1 trades$10 min
4/19/2026, 1:02:46 PM1 trades$10 min
4/19/2026, 5:45:42 PM1 trades$50 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
04-12
04-27
05-10
05-23
06-05
06-18
07-31

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

Profile

#14
Specialization
WEATHER
97% weather
Holding Style
HOLD
0.2% sell
DCA Style
SINGLE
avg 1.3/mkt
Hedging
SINGLE
avg 1.4 br/event