@dingdingdangdang
#10,886430xf8dc8cd0fd55eccb5409ed99ed90a86bc7f0f31f
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.
43
Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
19% (357/1836)0/20
1.05x (win $18,080 / loss $17,190)3.1/15
Annualised Sharpe 1.08915/15
Sortino 1.82410/10
$+0.0387 per $1 invested1.9/10
HHI 17 (1836 markets)10/10
47/109 profitable days (43%)3.3/10
Max DD 87% of peak ($800 / $923)0/10
Badges
4Profitable
PnL $+13,932
Lottery Player
43% entries < $0.20
Diamond Hands
6% sells
🦉Night Owl
24/24 hours active
Categories
7🌤️ WEATHER#132$13,902Vol: $3,164,627
🏛️ POLITICS#80,510$63Vol: $1,080
₿ CRYPTO#1,387,769$-50Vol: $529
🎭 CULTURE#728,815$-21Vol: $373
💻 TECH#12,145$24Vol: $150
⚽ SPORTS#1,270,189$-7Vol: $55
💰 FINANCE#66,271$7Vol: $30
Overview
#1Net PnL
$13,932
Polymarket official
Total Volume
$3,166,877
Total Redeem
$0
Portfolio
$0
Predictions
1837
total markets
Trades
6293B / 10251S
Daily Volume
$0
Account Age
~110d
Periods
#2Today
$176
Vol: $16,170
Week
$470
Vol: $71,903
Month
$3,358
Vol: $96,349
All Time
$13,932
Vol: $3,166,877
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
15%
493W / 2898L events
Realized PnL
$13,932
Win Rate
15%
493W / 2898L
Profit Factor
1.05x
Avg Win
$51
Avg Loss
$-14
Outlier Sensitivity: Top-3 = $1,653 (0.11863027149944871% of PnL)
Top Winners
Will the highest temperature in New York City be between 72-73°F on July 7?$881
Will the highest temperature in Los Angeles be between 74-75°F on July 13?$388
Will the highest temperature in Austin be between 76-77°F on May 27?$383
Will the highest temperature in Miami be between 94-95°F on May 13?$314
Will the highest temperature in Miami be between 86-87°F on May 1?$290
Will the highest temperature in Los Angeles be between 66-67°F on April 27?$259
Will the highest temperature in New York City be between 60-61°F on May 11?$256
Will the highest temperature in Seattle be between 68-69°F on July 8?$247
Will the highest temperature in Los Angeles be between 70-71°F on June 20?$247
Will the highest temperature in San Francisco be between 62-63°F on April 26?$241
Top Losers
Will the highest temperature in New York City be between 80-81°F on July 11?$-313
Will the highest temperature in Los Angeles be between 66-67°F on May 5?$-222
Will the highest temperature in New York City be between 62-63°F on April 24?$-211
Will the highest temperature in New York City be between 58-59°F on May 3?$-186
Will the highest temperature in Los Angeles be between 64-65°F on May 12?$-180
Will the highest temperature in New York City be between 84-85°F on July 8?$-170
Will the highest temperature in New York City be between 62-63°F on May 7?$-162
Will the highest temperature in New York City be between 70-71°F on May 10?$-152
Will the highest temperature in New York City be between 68-69°F on May 10?$-143
Will the highest temperature in San Francisco be between 68-69°F on June 17?$-139
Risk Metrics
#4Sharpe
0.057
Sortino
0.089
HHI
22
Diversified
EV per $1
$0.039
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
0.8%
Top-5 markets
3.9%
Behavior Analysis
#5Trades / Day
945.2
Very active
Markets / Day
10.6
Active Hours
24/24
Around the clock
Peak Hour
18:00 UTC
Median Gap
4.0m
between trades
Avg Gap
21.3m
between trades
Night Trading
2%
22:00–06:00 UTC
Size Variance
1.00
Variable
Session Statistics
Sessions
50
Avg Duration
9 min
Avg Trades / Session
28.6
Bot Detection
#655
SEMI-BOT (bot + manual)MEDIUM probability
7 indicators analyzed
Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
MEDIUM
Median gap 238s — normal for humanCV 1.00 — diverse sizes (human-like)1% night trades — normal pattern24/24 hours — around the clock945 trades/day — automation11 markets/day — mass coverage4% maker — normal mix
Timing Patterns
#7Peak hour: 18:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
9.01
Price Levels
#9Low (<20c)42.7%
Mid (20-55c)26.6%
High (>55c)30.7%
Sessions
#124/27/2026, 4:01:50 AM19 trades$1,9193 min
4/27/2026, 6:30:38 PM11 trades$1,0254 min
6/12/2026, 9:45:18 PM19 trades$57311 min
6/4/2026, 8:27:01 AM57 trades$54230 min
6/10/2026, 7:00:58 PM4 trades$5044 min
5/10/2026, 6:21:35 PM73 trades$43829 min
6/6/2026, 6:55:04 AM9 trades$4293 min
4/23/2026, 10:35:28 PM79 trades$37113 min
6/17/2026, 4:05:11 AM8 trades$3540 min
6/6/2026, 10:12:46 PM8 trades$3400 min
7/7/2026, 10:06:01 AM74 trades$31521 min
6/10/2026, 4:17:54 PM7 trades$3000 min
6/13/2026, 8:14:09 PM9 trades$3001 min
6/20/2026, 11:33:08 AM31 trades$29413 min
6/12/2026, 5:55:33 PM20 trades$28514 min
6/10/2026, 7:11:58 PM39 trades$27915 min
4/26/2026, 2:41:36 PM33 trades$26712 min
6/4/2026, 7:59:19 AM28 trades$2615 min
6/11/2026, 9:40:51 PM35 trades$2608 min
4/1/2026, 2:37:03 AM28 trades$2597 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
02-11
03-23
04-29
05-27
06-18
07-10
08-03
Faded bars = markets ending in the future (PnL from early exits)
Max drawdown: 22 days (recovered)
Profile
#14Specialization
WEATHER
100% weather
Holding Style
HOLD
6.2% sell
DCA Style
HEAVY
avg 9.01/mkt
Entry Bias
LOW $
L42.7 / M26.6 / H30.7