Polydata
automatedAItradingbot

@automatedAItradingbot

#1,75494

0xd8f8c13644ea84d62e1ec88c5d1215e436eb0f11

477d· 3028 markets · 4121 tradesVol: $3,309,8112026-05-23T23:03
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.

94
Elite
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 96%20/20
Profit Factor 722.20x15/15
Sharpe 0.4659/15
Sortino 16.47710/10
EV $+5690.30210/10
HHI 32910/10
Profit Days 98%10/10
DD/Peak 0%10/10

Summary

AutomatedAItradingbot is a moderately active trader on Polymarket, ranked #1754 on the global PnL leaderboard with a net profit of $88,476.61. Over 692 days, the bot executed 4,121 trades across 226 markets, generating a total volume exceeding $3.3 million. Despite a relatively modest Sharpe ratio of 0.46, the trader maintains a steady portfolio value of $21.14 and holds an elite Smart Score of 94/100, reflecting consistent performance and skill.

The trading style of automatedAItradingbot leans heavily towards weather markets, which constitute 54% of its trades. With a win rate of 43.8% and a profit factor of 1.43, the bot exhibits a balanced risk profile, favoring selective entries indicated by its 28% sell percentage and Sniper badge. Its activity pattern suggests a semi-automated approach, blending bot-driven and manual decisions, which may contribute to its flat equity trend and zero-day max drawdown duration, emphasizing risk management and timing precision.

Key strengths of automatedAItradingbot include its ability to sustain profitability over a long period with minimal drawdowns and a stable equity trend, supported by its combination of algorithmic and manual strategies. However, the moderate win rate and low Sharpe ratio signal potential vulnerability to market volatility. Additionally, the concentration in weather markets could expose the trader to sector-specific risks, which might impact future performance on Polymarket.

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

Badges

7
Sniper
Win Rate 96%
Profitable
PnL $+88,477
Lottery Player
41% entries <$0.20
Win Streak
12 wins in a row
Whale
$76,954
Consistent
134/137 days
Cool Head
DD 0%

Categories

8
🌤️ WEATHER#9$64,808Vol: $2,562,440
SPORTS#1,964$24,804Vol: $602,103
CRYPTO#54,097$241Vol: $56,524
🎭 CULTURE#777,338$-765Vol: $39,305
🏛️ POLITICS#1,429,273$-85Vol: $24,633
📈 ECONOMICS#5,193$329Vol: $10,272
💻 TECH#220,980$-52Vol: $7,824
💰 FINANCE#607,551$-875Vol: $5,639

Overview

#1
Net PnL
$88,477
Polymarket official
Total Volume
$3,309,811
Total Redeem
$7,635
Portfolio
$21
Predictions
3028
total markets
Trades
2968B / 1153S
Daily Volume
$111
Account Age
477d
since Jan 31, 2025

Periods

#2
Today
$27
Vol: $101
Week
$-149
Vol: $24,147
Month
$569
Vol: $35,418
All Time
$88,477
Vol: $3,309,811

PnL Analysis

#3
Win Rate (events)
96%
204W / 8L events
Realized PnL
$192,616
Win Rate
44%
78W / 99L
Profit Factor
1.43x
Avg Win
$663
Avg Loss
$-365

Outlier Sensitivity: Top-3 = $15,643 (100.2% of PnL)

Top Winners

Games Total: O/U 4.5$6,462
Will the highest temperature in London be between 52-53°F on Dece$5,026
UFC Fight Night: Kavanagh vs. Johnson$4,155
Games Total: O/U 3.5$4,130
Will the highest temperature in New York City be between 38-39°F $3,536
UFC Fight Night: Pereira vs. Daukaus$1,739
Will the highest temperature in Shanghai be 28°C on May 12?$1,499
Will the highest temperature in London be 11°C on December 15?$1,354
Will the highest temperature in NYC be between 61-62°F on March 1$1,067
Will the highest temperature in London be between 57-58°F on Febr$1,030

Top Losers

UFC Fight Night: Walker vs. Zhang$-3,512
Map Handicap: M80 (-1.5) vs sleepers (+1.5)$-2,368
Map Handicap: CAL (-1.5) vs F9 EICAR (+1.5)$-2,173
Will the highest temperature in Chicago be 28°F or higher on Janu$-1,544
Map Handicap: ShindeN (-1.5) vs OXEN (+1.5)$-1,277
Map Handicap: SEN (-1.5) vs 100 Thieves (+1.5)$-1,209
Marcinko vs. Birrell: Match O/U 23.5$-829
Games Total: O/U 3.5$-828
Honor of Kings: Qing Jiu Club vs JD Gaming - Game 6 Winner$-814
Will the highest temperature in Seoul be 4°C on February 11?$-770

Risk Metrics

#4
Sharpe
0.465
Sortino
16.477
HHI
329
Diversified
EV per $1
$5690.302
Kelly %
10.4%
Half-Kelly
5.2%
Top-1 market
12.2%
Top-5 markets
32.6%

Behavior Analysis

#5
Trades / Day
8.8
Moderate
Markets / Day
0.5
Active Hours
24/24
Around the clock
Peak Hour
4:00 UTC
Median Gap
8s
between trades
Avg Gap
20.7m
between trades
Night Trading
40%
22:00–06:00 UTC
Size Variance
2.65
Variable
Session Statistics
Sessions
50
Avg Duration
1 min
Avg Trades / Session
1.9

Bot Detection

#6
40
SEMI-BOT (bot + manual)MEDIUM probability

5 indicators analyzed

Trade Speed
HIGH
Night Activity
MEDIUM
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
51% < 10s — regular intervalSize CV 2.65 — diverse, typical for human40% at night — bot never sleeps24/24 hours — around the clockSession CV 1.19 — human randomness

Timing Patterns

#7

Peak hour: 4:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
13.2
Heavy DCA
<=1
18 entries
<=2
37 entries
<=5
105 entries
<=10
157 entries
<=20
193 entries
<=50
217 entries
>50
7 entries

Price Levels

#9
Low (<20c)40.5%
Mid (20-55c)4.3%
High (>55c)55.2%

City Stats

#10

YES bias: 78.6%

New York City$13,504
London$10,019
Shanghai$1,774
Dallas$703
Istanbul$569
Hong Kong$505
Seoul$494
Amsterdam$209
Madrid$197
Tokyo$0
Beijing$0
Moscow$0
Jakarta$0
Miami$-0
Taipei$-12
Qingdao$-20
Paris$-150
Sao Paulo$-480

Bracket Analysis

#11
Avg brackets/event
1.2
Events covered
181

Single bracket

<=1
151 brackets
<=2
170 brackets
<=3
178 brackets
<=4
180 brackets
<=5
181 brackets
<=8
181 brackets
>8
0 brackets

Sessions

#12
2/7/2025, 9:57:48 AM3 trades$614 min
2/7/2025, 10:07:48 AM1 trades$30 min
2/7/2025, 11:17:58 AM4 trades$5495 min
2/7/2025, 11:43:52 AM1 trades$40 min
2/7/2025, 12:49:40 PM1 trades$30 min
2/7/2025, 1:39:10 PM1 trades$470 min
2/7/2025, 2:40:36 PM7 trades$795 min
2/7/2025, 4:58:40 PM1 trades$1450 min
2/18/2025, 4:56:29 PM1 trades$210 min
2/18/2025, 5:49:23 PM2 trades$1661 min
2/18/2025, 6:37:45 PM1 trades$10 min
2/18/2025, 6:53:11 PM3 trades$295 min
2/18/2025, 8:01:15 PM2 trades$141 min
2/18/2025, 8:18:59 PM4 trades$2314 min
2/18/2025, 8:32:51 PM1 trades$100 min
2/18/2025, 8:38:07 PM1 trades$20 min
2/18/2025, 8:43:11 PM4 trades$623 min
2/18/2025, 9:02:20 PM1 trades$100 min
2/18/2025, 9:15:10 PM4 trades$5046 min
2/19/2025, 1:18:41 PM1 trades$50 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
01-01
05-06
11-15
01-26
03-02
03-27
05-23
05-31

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

Profile

#14
Specialization
MIXED
53.5% weather
Holding Style
ACTIVE SELLER
28% sell
DCA Style
HEAVY
avg 13.2/mkt
Hedging
SINGLE
avg 1.2 br/event