BiDiFakePolls

@BiDiFakePolls

#3,64490

0xd24b95551eb288ff82bb625dcd7f32f62abdef76

~82d· 97 markets · 2786 tradesVol: $1,287,545 @River_Whales2026-09-21 19:43:27
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.

90
Elite
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

56% (44/79)12.8/20
3.99x (win $108,284 / loss $27,125)15/15
Annualised Sharpe 7.97615/15
Sortino 34.79710/10
$+0.2599 per $1 invested10/10
HHI 889 (79 markets)8.1/10
22/34 profitable days (65%)8.7/10
Max DD 7% of peak ($6,177 / $83,299)10/10

Badges

8
Profitable
PnL $+30,568
DCA Master
Avg 31.5 entries/market
Whale
$312,269 invested
Consistent
22/34 profitable days
High Roller
$3,253/day
Cool Head
Max DD 7%
Win Streak
7 wins in a row
🦉Night Owl
24/24 hours active

Categories

3
🏛️ POLITICS#1,031$47,539Vol: $1,283,597
💰 FINANCE#18,381$97Vol: $3,448
📈 ECONOMICS#687,864$-364Vol: $500

Overview

#1
Net PnL
$47,272
Polymarket official
Total Volume
$1,287,545
Total Redeem
$0
Portfolio
$0
Predictions
97
total markets
Trades
1561B / 1225S
Daily Volume
$0
Account Age
~82d

Periods

#2
Today
$1,776
Vol: $2,106
Week
$17,340
Vol: $238,092
Month
$27,847
Vol: $535,773
All Time
$47,272
Vol: $1,287,545

PnL Analysis

#3

Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology

Win Rate (events)
56%
44W / 35L events
Realized PnL
$30,568
Win Rate
56%
44W / 35L
Profit Factor
3.99x
Avg Win
$2,461
Avg Loss
$-848

Outlier Sensitivity: Top-3 = $40,421 (1.3223179238422438% of PnL)

Top Winners

Will Keiko Fujimori win the 2026 Peruvian presidential election?$17,452
Starmer out by June 30, 2026?$13,880
Will Oh Se-hoon win the 2026 Seoul Mayoral Election$9,089
Will Park Wan-soo win the 2026 Gyeongsangnam Province Gubernatorial Election?$8,711
Will Roberto Sánchez Palomino win the 2026 Peruvian presidential election?$6,713
Will Abelardo de la Espriella win the 1st round of the 2026 Colombian presidential election?$6,307
Will Abelardo de la Espriella win the 2026 Colombian presidential election?$5,748
Will Chong Won-oh win the 2026 Seoul Mayoral Election$5,347
Will Iván Cepeda Castro place 1st in Bogotá in the second round of the 2026 Colombia presidential election?$4,795
Will Bev Craig win the 2026 Greater Manchester Mayoral Election?$4,088

Top Losers

Will Toby Doeden win the 2026 South Dakota Governor Republican primary election?$-3,897
Will Kim Boo-kyum win the 2026 Daegu mayoral election?$-3,486
Will Ken Paxton win the 2026 Texas Republican Primary?$-3,345
Will Adriano Espaillat be the Democratic Nominee for NY-13?$-3,143
Will the Labour Party win at least 700 council seat elections in the 2026 United Kingdom local elections?$-2,238
Will Reform UK win at least 1600 council seat elections in the 2026 United Kingdom local elections?$-1,932
Will Tom Steyer advance from the 2026 California Governor primary election?$-1,617
Will Ivan Cepeda Castro win the 2026 Colombian presidential election?$-1,533
Will Steve Hilton advance from the 2026 California Governor primary election?$-1,305
Will Park Heong-joon win the 2026 Busan Mayoral Election?$-564

Risk Metrics

#4
Sharpe
0.411
Sortino
1.310
HHI
649
Moderate
EV per $1
$0.292
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
20.8%
Top-5 markets
43.6%

Behavior Analysis

#5
Trades / Day
29.0
Active
Markets / Day
1.0
Active Hours
24/24
Around the clock
Peak Hour
21:00 UTC
Median Gap
4.2m
between trades
Avg Gap
1.1h
between trades
Night Trading
13%
22:00–06:00 UTC
Size Variance
2.28
Variable
Session Statistics
Sessions
50
Avg Duration
4 min
Avg Trades / Session
12.9

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
LOW
Median gap 250s — normal for humanCV 2.28 — diverse sizes (human-like)13% night trades — normal pattern24/24 hours — around the clock29 trades/day — high frequency1.0 markets/day — normal56% maker — normal mix

Timing Patterns

#7

Peak hour: 21:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
31.52
Heavy DCA

Price Levels

#9
Low (<20c)8.8%
Mid (20-55c)20.4%
High (>55c)70.8%

Sessions

#12
6/6/2026, 11:04:18 PM19 trades$13,9120 min
6/3/2026, 5:14:52 AM11 trades$12,3760 min
6/7/2026, 7:12:54 PM12 trades$12,23812 min
6/19/2026, 1:08:34 AM56 trades$10,67517 min
6/21/2026, 10:42:35 PM2 trades$10,0000 min
5/20/2026, 12:26:43 AM13 trades$9,7641 min
6/17/2026, 2:02:19 PM3 trades$7,4960 min
5/31/2026, 9:07:38 PM26 trades$7,0097 min
6/4/2026, 10:43:16 PM27 trades$6,5613 min
6/22/2026, 9:34:31 AM30 trades$6,5120 min
7/8/2026, 12:21:11 PM20 trades$5,9300 min
6/16/2026, 7:09:44 PM7 trades$5,2650 min
6/6/2026, 11:12:45 PM23 trades$5,1512 min
6/8/2026, 9:04:16 PM16 trades$4,9559 min
6/3/2026, 8:50:45 PM10 trades$4,6469 min
7/1/2026, 1:08:16 AM6 trades$4,3619 min
6/7/2026, 9:59:04 PM16 trades$4,2869 min
6/3/2026, 4:55:07 PM32 trades$4,17821 min
6/6/2026, 11:32:01 PM8 trades$4,0854 min
8/2/2026, 9:42:47 PM15 trades$3,9092 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
05-04
05-23
06-04
06-09
06-23
07-01
07-14

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

Profile

#14
Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
44% sell
DCA Style
HEAVY
avg 31.52/mkt
Entry Bias
HIGH $
L8.8 / M20.4 / H70.8