@magicbloom

#3,133,4628

0xffcac2ab464e73c7a16bea54134a2dc2f36ab04c

~4d· 5 markets · 92 tradesVol: $540,7032026-09-10 23:02:25
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.

8
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

40% (2/5)5/20
0.68x (win $11,616 / loss $17,099)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-0.2091 per $1 invested0/10
HHI 4702 (5 markets)0/10
2/5 profitable days (40%)2.5/10
Max DD 147% of peak ($17,099 / $11,616)0/10

Badges

1
High Roller
$2,185/day

Categories

1
⚽ SPORTS#1,896,964$-5,402Vol: $297,653

Overview

#1
Net PnL
$-63,392
Polymarket official
Total Volume
$540,703
Total Redeem
$0
Portfolio
$0
Predictions
5
total markets
Trades
21B / 71S
Daily Volume
$0
Account Age
~4d

Periods

#2
Today
$-5,105
Vol: $22,954
Week
$-25,966
Vol: $128,650
Month
$-424
Vol: $223,229
All Time
$-63,392
Vol: $540,703

PnL Analysis

#3

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

Win Rate (events)
40%
2W / 3L events
Realized PnL
$-32,506
Win Rate
40%
2W / 3L
Profit Factor
0.68x
Avg Win
$5,808
Avg Loss
$-5,700

Outlier Sensitivity: Top-3 = $11,616 (0.3573506004162952% of PnL)

Top Winners

Fluminense FC vs. Clube do Remo: O/U 2.5$11,581
Bologna FC 1909 vs. SS Lazio: O/U 0.5$35

Top Losers

Map Handicap: VIT (-1.5) vs FUT Esports (+1.5)$-9,836
LoL: Hanwha Life Esports vs T1 (BO5) - LCK Playoffs$-4,239
Counter-Strike: FUT Esports vs Vitality - Map 1 Winner$-3,024

Risk Metrics

#4
Sharpe
-0.138
Sortino
-0.302
HHI
4056
Concentrated
EV per $1
$-0.209
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
58.4%
Top-5 markets
100%

Behavior Analysis

#5
Trades / Day
7.7
Moderate
Markets / Day
0.4
Active Hours
4/24
Normal
Peak Hour
11:00 UTC
Median Gap
8s
between trades
Avg Gap
31.7m
between trades
Night Trading
0%
22:00–06:00 UTC
Size Variance
1.89
Variable
Session Statistics
Sessions
6
Avg Duration
1 min
Avg Trades / Session
15.3

Bot Detection

#6
10
HUMAN (manual trading)LOW probability

7 indicators analyzed

Trade Speed
HIGH
Night Activity
LOW
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
56% gaps < 10s — regular intervalsCV 1.89 — diverse sizes (human-like)0% night trades — normal pattern4/24 hours — normal schedule8 trades/day — normal0.4 markets/day — normal23% maker — normal mix

Timing Patterns

#7

Peak hour: 11:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
18.4
Heavy DCA

Price Levels

#9
Low (<20c)0%
Mid (20-55c)9.5%
High (>55c)90.5%

Sessions

#12
8/22/2026, 11:07:55 AM50 trades$15,7400 min
8/22/2026, 6:59:51 PM2 trades$14,8760 min
8/31/2026, 6:08:48 PM16 trades$8,1000 min
9/2/2026, 9:51:37 AM15 trades$4,2395 min
8/31/2026, 6:38:06 PM2 trades$3,6000 min
8/24/2026, 10:41:03 AM7 trades$3392 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
2026-08-22 19:00:00
2026-08-24 16:30:00
2026-08-31 20:30:00
2026-08-31 22:30:00
2026-09-02 14:00:00

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

Profile

#14
Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
77.2% sell
DCA Style
HEAVY
avg 18.4/mkt
Entry Bias
HIGH $
L0 / M9.5 / H90.5