@Gloriasissi
#2,558,868300x797bb9dbeb36908fb633ccdbb5930b02c670b5bc
~13d· 8 markets · 79 tradesVol: $23,5722026-08-04 20:08:19
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.
30
Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
80% (4/5)20/20
0.00x (win $2 / loss $1,505)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-0.0533 per $1 invested0/10
HHI 5952 (5 markets)0/10
4/5 profitable days (80%)10/10
Max DD 0% of peak ($1,505 / $0)0/10
Badges
3Sniper
Win rate 80%
DCA Master
Avg 5.8 entries/market
Consistent
4/5 profitable days
Categories
3🏛️ POLITICS#1,488,273$-66Vol: $21,658
🌤️ WEATHER#272,236$-39Vol: $1,811
⚽ SPORTS#360,914$3Vol: $103
Overview
#1Net PnL
$-101
Polymarket official
Total Volume
$23,572
Total Redeem
$0
Portfolio
$0
Predictions
8
total markets
Trades
42B / 37S
Daily Volume
$0
Account Age
~13d
Periods
#2Today
$-6
Vol: $132
Week
$3
Vol: $352
Month
$-28
Vol: $424
All Time
$-101
Vol: $23,572
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
80%
4W / 1L events
Realized PnL
$-101
Win Rate
80%
4W / 1L
Profit Factor
0x
Avg Win
$0
Avg Loss
$-1,505
Outlier Sensitivity: Top-3 = $2 (0.01913781197592976% of PnL)
Top Winners
Will the highest temperature in Shanghai be 33°C on July 31?$1
Will the highest temperature in Shanghai be 35°C on July 23?$1
Will the highest temperature in Madrid be 33°C or below on July 14?$0
Will the highest temperature in Shanghai be 37°C on July 18?$0
Top Losers
China x Philippines military clash before 2027?$-1,505
Risk Metrics
#4Sharpe
-0.447
Sortino
-300694.000
HHI
23
Diversified
EV per $1
$-0.894
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
4.7%
Top-5 markets
6%
Behavior Analysis
#5Trades / Day
0.4
Moderate
Markets / Day
0.0
Active Hours
12/24
Extended
Peak Hour
8:00 UTC
Median Gap
1.5h
between trades
Avg Gap
4.1h
between trades
Night Trading
9%
22:00–06:00 UTC
Size Variance
1.62
Variable
Session Statistics
Sessions
18
Avg Duration
1 min
Avg Trades / Session
4.4
Bot Detection
#60
HUMAN (manual trading)LOW probability
7 indicators analyzed
Trade Speed
LOW
Night Activity
LOW
Active Hours
MEDIUM
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 5544s — normal for humanCV 1.62 — diverse sizes (human-like)9% night trades — normal pattern12/24 hours — normal schedule0 trades/day — normal0.0 markets/day — normal29% maker — normal mix
Timing Patterns
#7Peak hour: 8:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
5.8
Price Levels
#9Low (<20c)0%
Mid (20-55c)0%
High (>55c)100%
Sessions
#124/23/2026, 7:52:04 AM33 trades$12,9388 min
4/1/2026, 11:47:45 AM8 trades$7,6982 min
4/23/2026, 9:32:54 AM3 trades$2,3400 min
1/8/2026, 11:37:53 AM1 trades$1,9990 min
1/21/2026, 6:44:16 AM1 trades$1,9900 min
4/24/2026, 10:28:28 PM6 trades$6640 min
7/18/2026, 4:05:40 AM4 trades$4570 min
5/1/2026, 5:27:32 AM1 trades$4170 min
7/18/2026, 7:08:58 AM5 trades$1820 min
7/13/2026, 9:27:02 PM2 trades$1000 min
7/23/2026, 8:47:43 AM4 trades$1002 min
4/30/2026, 2:18:20 PM1 trades$810 min
4/29/2026, 9:25:58 AM2 trades$600 min
4/30/2026, 1:57:48 AM2 trades$590 min
4/30/2026, 6:24:24 AM1 trades$570 min
7/29/2026, 7:35:51 AM2 trades$500 min
5/27/2026, 8:54:13 PM2 trades$280 min
4/30/2026, 9:38:56 AM1 trades$20 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
05-27
07-13
07-18
07-23
07-29
Faded bars = markets ending in the future (PnL from early exits)
Profile
#14Specialization
MIXED
80% weather
Holding Style
ACTIVE SELLER
46.8% sell
DCA Style
HEAVY
avg 5.8/mkt
Entry Bias
HIGH $
L0 / M0 / H100