@RationalCoco
#3,110,646470xb7b0c84897c11cb0ad7855a3a81ccc8024f5d650
~101d· 274 markets · 4207 tradesVol: $168,8002026-10-08 02:56:08
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.
47
Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
77% (199/259)20/20
1.02x (win $21,008 / loss $20,597)2.7/15
Annualised Sharpe 0.1613/15
Sortino 0.2382.4/10
$+0.0045 per $1 invested0.2/10
HHI 182 (259 markets)10/10
46/72 profitable days (64%)8.5/10
Max DD 109% of peak ($6,437 / $5,890)0/10
Badges
6Sniper
Win rate 77%
DCA Master
Avg 16.5 entries/market
Whale
$91,887 invested
Consistent
46/72 profitable days
Win Streak
19 wins in a row
🦉Night Owl
24/24 hours active
Categories
7🏛️ POLITICS#1,621,783$-699Vol: $154,881
🎭 CULTURE#823,299$-1,603Vol: $7,706
💰 FINANCE#31,384$34Vol: $5,618
⚽ SPORTS#242,532$16Vol: $294
📢 MENTIONS#145,091$-18Vol: $123
🌤️ WEATHER#0$0Vol: $100
💻 TECH#43,055$1Vol: $68
Overview
#1Net PnL
$-2,269
Polymarket official
Total Volume
$168,800
Total Redeem
$4,128
Portfolio
$0
Predictions
274
total markets
Trades
3380B / 827S
Daily Volume
$0
Account Age
~101d
Periods
#2Today
$36
Vol: $0
Week
$-7
Vol: $0
Month
$33
Vol: $400
All Time
$-2,269
Vol: $168,800
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
77%
199W / 60L events
Realized PnL
$-2,269
Win Rate
77%
199W / 60L
Profit Factor
1.02x
Avg Win
$106
Avg Loss
$-343
Outlier Sensitivity: Top-3 = $6,154 (2.712632785295544% of PnL)
Top Winners
Will Fidesz–KDNP win the most seats in the next Hungarian parliamentary election?$2,617
Will Fidesz-KDNP win at least 80 seats?$1,848
Will John Cornyn win the 2026 Texas Republican Primary?$1,689
Will Rachida Dati win the Paris mayor election?$1,396
Will the next Prime Minister of Hungary be Viktor Orbán?$1,069
Will SPD win the most seats in the 2026 Rhineland-Palatinate parliamentary elections?$825
Will Fidesz–KDNP win the most national list votes in the 2026 Hungarian parliamentary election?$644
Will Rafael López Aliaga win the 2026 Peruvian presidential election?$567
Will Nepali Congress win the most seats in the Nepal House of Representatives election?$550
Will the All India Trinamool Congress (AITC) win the most seats in the 2026 West Bengal Legislative Assembly election?$514
Top Losers
Will the Bharatiya Janata Party (BJP) win the most seats in the 2026 West Bengal Legislative Assembly election?$-2,650
Will People’s Party (PPLE) win the most seats in the 2026 Thai legislative election?$-1,910
Will Elon Musk post 1320-1359 tweets in March 2026?$-1,697
Will Juan Pablo Velasco win the 2026 Santa Cruz gubernatorial election?$-1,314
Will Tisza win 130+ seats in the Hungarian National Assembly in this election?$-1,221
Will The Greens win the most seats in the 2026 Baden-Württemberg parliamentary elections?$-1,149
Will Park Soo-hyun win the 2026 Chungcheongnam Province gubernatorial election?$-1,136
Will CDU win the most seats in the 2026 Baden-Württemberg parliamentary elections?$-871
Will Juliana Stratton be the Democratic nominee for Senate in Illinois?$-836
Will Ed Gallrein be the Republican nominee for KY-04?$-811
Risk Metrics
#4Sharpe
0.008
Sortino
0.009
HHI
187
Diversified
EV per $1
$0.004
Kelly %
4.9%
Half-Kelly
2.5%
Top-1 market
5.3%
Top-5 markets
21.3%
Behavior Analysis
#5Trades / Day
16.8
Active
Markets / Day
1.1
Active Hours
24/24
Around the clock
Peak Hour
19:00 UTC
Median Gap
2.4m
between trades
Avg Gap
44.3m
between trades
Night Trading
9%
22:00–06:00 UTC
Size Variance
1.96
Variable
Session Statistics
Sessions
50
Avg Duration
7 min
Avg Trades / Session
28.2
Bot Detection
#620
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 142s — normal for humanCV 1.96 — diverse sizes (human-like)8% night trades — normal pattern24/24 hours — around the clock17 trades/day — very active1.1 markets/day — normal65% maker — normal mix
Timing Patterns
#7Peak hour: 19:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
16.49
Price Levels
#9Low (<20c)1.8%
Mid (20-55c)9.5%
High (>55c)88.8%
Sessions
#124/19/2026, 7:08:28 PM79 trades$2,89120 min
2/2/2026, 2:40:10 PM2 trades$2,3421 min
1/28/2026, 9:11:38 PM12 trades$1,47112 min
3/7/2026, 7:06:55 PM29 trades$1,4178 min
2/1/2026, 8:50:22 PM8 trades$1,3058 min
2/13/2026, 9:16:01 PM8 trades$1,2294 min
1/24/2026, 2:19:38 PM8 trades$1,16611 min
2/15/2026, 7:26:09 PM14 trades$1,1418 min
1/28/2026, 6:50:14 PM9 trades$1,10511 min
4/10/2026, 6:35:23 PM61 trades$1,0918 min
1/28/2026, 8:10:40 PM3 trades$1,0831 min
2/2/2026, 8:04:22 PM6 trades$1,05913 min
2/8/2026, 7:43:13 PM5 trades$1,0257 min
4/6/2026, 6:11:11 PM76 trades$9843 min
1/19/2026, 8:27:28 AM12 trades$98114 min
1/28/2026, 10:49:54 PM2 trades$9805 min
4/5/2026, 7:46:09 PM89 trades$9773 min
2/1/2026, 9:10:18 PM14 trades$91412 min
4/1/2026, 6:14:07 PM60 trades$8973 min
4/9/2026, 7:42:39 PM46 trades$8946 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
01-19
02-07
02-21
03-14
03-29
04-10
Faded bars = markets ending in the future (PnL from early exits)
Max drawdown: 33 days (not recovered)
Profile
#14Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
19.7% sell
DCA Style
HEAVY
avg 16.49/mkt
Entry Bias
HIGH $
L1.8 / M9.5 / H88.8