bunefrancis

@bunefrancis

#1,497,1186

0xadafa0ecabe63263e5b41ff2ce4256721d0cdc23

~2d· 12 markets · 28 tradesVol: $1,3622026-09-23 04:02:59
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.

6
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

22% (2/9)0/20
0.15x (win $3 / loss $18)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-1.0896 per $1 invested0/10
HHI 1266 (9 markets)6.2/10
1/5 profitable days (20%)0/10
Max DD 0% of peak ($15 / $0)0/10

Categories

2
⚽ SPORTS#1,381,124$-11Vol: $1,206
🌤️ WEATHER#53,427$1Vol: $7

Overview

#1
Net PnL
$-3
Polymarket official
Total Volume
$1,362
Total Redeem
$0
Portfolio
$0
Predictions
12
total markets
Trades
14B / 14S
Daily Volume
$0
Account Age
~2d

Periods

#2
Today
$10
Vol: $0
Week
$6
Vol: $674
Month
$11
Vol: $1,362
All Time
$-3
Vol: $1,362

PnL Analysis

#3

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

Win Rate (events)
0%
0W / 4L events
Realized PnL
$-5
Win Rate
0%
0W / 4L
Profit Factor
0.15x
Avg Win
$1
Avg Loss
$-3

Outlier Sensitivity: Top-3 = $3 (0.5018315018315018% of PnL)

Top Winners

Lamine Yamal: Anytime Goalscorer$2
VfB Stuttgart vs. Viking FK: O/U 4.5$1

Top Losers

Will Celtic FC win on 2026-08-22?$-4
Will Portland Thorns FC win on 2026-09-06?$-4
Gangwon FC vs. Jeonbuk Hyundai Motors FC: 1st Half O/U 3.5 Total Corners$-2
Gwangju FC vs. Jeju SK FC: O/U 2.5$-2
Rangers FC vs. St Mirren FC: O/U 1.5$-2
Gwangju FC vs. Jeju SK FC: Both Teams to Score$-2
Paris Saint-Germain FC vs. ŠK Slovan Bratislava: O/U 11.5 Total Corners$-2

Risk Metrics

#4
Sharpe
-0.838
Sortino
-1.593
HHI
765
Moderate
EV per $1
$-1.387
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
14.3%
Top-5 markets
50%

Behavior Analysis

#5
Trades / Day
7.0
Moderate
Markets / Day
3.0
Active Hours
6/24
Normal
Peak Hour
9:00 UTC
Median Gap
10.5m
between trades
Avg Gap
1.2h
between trades
Night Trading
0%
22:00–06:00 UTC
Size Variance
0.00
Very consistent
Session Statistics
Sessions
10
Avg Duration
1 min
Avg Trades / Session
2.8

Bot Detection

#6
20
LIKELY HUMAN (fast interface)LOW probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
HIGH
Market Coverage
LOW
Median gap 630s — normal for humanCV 0.00, 7% unique — templated orders0% night trades — normal pattern6/24 hours — normal schedule7 trades/day — normal3.0 markets/day — normal50% maker — normal mix

Timing Patterns

#7

Peak hour: 9:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
2.44
Moderate DCA

Price Levels

#9
Low (<20c)0%
Mid (20-55c)42.9%
High (>55c)57.1%

Sessions

#12
9/9/2026, 8:04:24 PM4 trades$41 min
9/9/2026, 9:56:43 AM4 trades$41 min
9/9/2026, 9:31:30 AM4 trades$33 min
9/6/2026, 9:20:46 PM4 trades$30 min
9/9/2026, 9:25:36 AM2 trades$30 min
9/9/2026, 8:54:10 PM2 trades$20 min
9/9/2026, 7:53:54 PM2 trades$20 min
9/9/2026, 6:50:37 AM2 trades$20 min
9/9/2026, 12:04:54 PM2 trades$20 min
9/9/2026, 9:35:18 PM2 trades$10 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
2026-09-06 20:00:00
2026-09-09 10:30:00
2026-09-09 16:45:00
2026-09-09 18:45:00
2026-09-09 19:00:00

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

Profile

#14
Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
50% sell
DCA Style
MODERATE
avg 2.44/mkt
Entry Bias
HIGH $
L0 / M42.9 / H57.1