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Full-Machine

@Full-Machine

#242,34394

0x147f3fe19e4c003a40703b53823b98f907c95f7b

217d· 406 markets · 1078 tradesVol: $35,993 @Somesh_3332026-07-02T12:16
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.

94
Elite
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 93%20/20
Profit Factor 16.59x15/15
Sharpe 0.87615/15
Sortino 0.4484/10
EV $+15.38010/10
HHI 7110/10
Profit Days 98%10/10
DD/Peak 3%10/10

Summary

Full-Machine is an experienced and consistent trader on Polymarket, ranked #242,343 globally with a net profit and loss (PnL) of $93.26. Over 211 days, they executed 1,078 trades across 382 different markets, resulting in a total trading volume of nearly $36,000. Their elite Smart Score of 94/100 reflects strong overall performance, supported by a high win rate of 91.3% and a profit factor of 6.11, indicating a highly profitable trading history despite a modest portfolio value of $1.25.

The trading style of Full-Machine leans toward a measured, low-risk approach characterized by precision and consistency. They maintain a relatively balanced sell percentage of 35%, avoid weather-related markets, and exhibit no significant drawdown durations, suggesting effective risk management. Their Sharpe Ratio of 0.88 shows moderate risk-adjusted returns, and a stable equity trend indicates steady performance rather than aggressive swings. The frequency and timing of trades suggest Full-Machine favors frequent but cautious entries, likely capitalizing on small, reliable market inefficiencies.

Full-Machine’s key strengths include a high win rate, strong profit factor, and a solid Smart Score, all of which point to disciplined execution and a cool-headed trading strategy. However, their low portfolio value and flat equity trend may indicate limited capital scaling or cautious risk exposure. Additionally, while the Bot Score suggests likely human trading, the low score raises questions about the speed and automation level of their strategy. Overall, Full-Machine demonstrates consistent profitability with a focus on steady gains, but their growth potential might be constrained by conservative risk parameters.

Analysis based on the last 250 closed positions. Full trading history — coming soon.

Badges

5
Sniper
Win Rate 93%
Profitable
PnL $+93
Win Streak
55 wins in a row
Consistent
97/99 days
Cool Head
DD 3%

Categories

7
SPORTS#69,756$293Vol: $27,008
CRYPTO#1,270,879$-28Vol: $2,461
🏛️ POLITICS#1,201,049$-8Vol: $725
💰 FINANCE#95,234$3Vol: $440
📢 MENTIONS#129,275$-13Vol: $177
🎭 CULTURE#210,659$0Vol: $60
📈 ECONOMICS#500,175$-2Vol: $19

Overview

#1
Net PnL
$93
Polymarket official
Total Volume
$35,993
Total Redeem
$6,850
Portfolio
$1
Predictions
406
total markets
Trades
702B / 376S
Daily Volume
$74
Account Age
217d
since Nov 29, 2025

Periods

#2
Today
$4
Vol: $31
Week
$10
Vol: $1,191
Month
$7
Vol: $111
All Time
$93
Vol: $35,993

PnL Analysis

#3
Win Rate (events)
94%
225W / 14L events
Realized PnL
$1,651
Win Rate
91%
242W / 23L
Profit Factor
6.11x
Avg Win
$6
Avg Loss
$-10

Outlier Sensitivity: Top-3 = $125 (10.6% of PnL)

Top Winners

Spurs vs. Knicks: 1H O/U 123.5$48
Indian Premier League: Chennai Super Kings vs Lucknow Super Giant$41
ODI Series India vs Afghanistan: India vs Afghanistan$37
ODI Series Bangladesh vs Australia: Bangladesh vs Australia$34
ODI Series India vs Afghanistan: India vs Afghanistan$30
ICC T20 World Cup, Women: West Indies vs Ireland$29
Kwibuka T20 Tournament, Women: Rwanda vs Zimbabwe High Performanc$26
Knicks vs. 76ers$24
ODI Series West Indies vs Sri Lanka: West Indies vs Sri Lanka$24
ICC T20 World Cup, Women: India vs Pakistan$23

Top Losers

T20 Series South Africa vs. India, Women: South Africa vs India$-26
Kwibuka T20 Tournament, Women: Rwanda vs Brazil$-23
Valorant: Cloud9 vs Leviatán Esports (BO3) - VCT Americas Stage 1$-20
ODI Series England vs. New Zealand, Women: England vs New Zealand$-20
Valorant: Karmine Corp vs Team Heretics (BO3) - VCT EMEA Group Al$-19
ICC T20 World Cup, Women: West Indies vs Scotland$-18
ICC T20 World Cup, Women: South Africa vs India$-16
Valorant: M80 vs Azure Dragon Gaming - Map 2 Winner$-14
ODI Series Bangladesh vs Sri Lanka, Women: Bangladesh vs Sri Lank$-14
Valorant: Gentle Mates vs Natus Vincere - Map 1 Winner$-14

Risk Metrics

#4
Sharpe
0.876
Sortino
0.448
HHI
71
Diversified
EV per $1
$15.380
Kelly %
84.0%
Half-Kelly
42.0%
Top-1 market
2.9%
Top-5 markets
10.4%

Behavior Analysis

#5
Trades / Day
5.3
Moderate
Markets / Day
1.9
Active Hours
23/24
Around the clock
Peak Hour
17:00 UTC
Median Gap
16.7m
between trades
Avg Gap
2.0h
between trades
Night Trading
19%
22:00–06:00 UTC
Size Variance
1.26
Variable
Session Statistics
Sessions
50
Avg Duration
0 min
Avg Trades / Session
1.2

Bot Detection

#6
20
LIKELY HUMAN (fast interface)LOW probability

5 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 1002s — typical for humanSize CV 1.26 — diverse, typical for human19% at night — different timezone?23/24 hours — around the clockSession CV 1.10 — human randomness

Timing Patterns

#7

Peak hour: 17:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
1.8
Single entry
<=1
242 entries
<=2
315 entries
<=5
363 entries
<=10
380 entries
<=20
382 entries
<=50
382 entries
>50
0 entries

Price Levels

#9
Low (<20c)8.8%
Mid (20-55c)22.2%
High (>55c)68.9%

City Stats

#10

YES bias: 58.2%

Other$1,065
Lucknow$80
Hong Kong$15
London$10
Seattle$10
Atlanta$5
San Francisco$2
Chicago$-8

Bracket Analysis

#11
Avg brackets/event
1.1
Events covered
336

Single bracket

<=1
301 brackets
<=2
330 brackets
<=3
334 brackets
<=4
335 brackets
<=5
335 brackets
<=8
336 brackets
>8
0 brackets

Sessions

#12
12/10/2025, 7:30:02 PM2 trades$01 min
12/25/2025, 3:47:31 PM1 trades$10 min
1/16/2026, 7:44:06 PM1 trades$210 min
1/16/2026, 7:58:54 PM1 trades$210 min
1/16/2026, 8:58:46 PM1 trades$210 min
1/16/2026, 9:44:30 PM1 trades$240 min
1/17/2026, 5:23:42 PM7 trades$836 min
1/17/2026, 5:59:00 PM1 trades$320 min
1/17/2026, 6:14:08 PM1 trades$240 min
1/17/2026, 6:29:48 PM1 trades$330 min
1/17/2026, 8:44:22 PM1 trades$350 min
1/17/2026, 8:59:48 PM1 trades$420 min
1/17/2026, 9:14:34 PM1 trades$430 min
1/20/2026, 11:13:34 AM1 trades$210 min
1/21/2026, 2:15:50 PM1 trades$200 min
1/21/2026, 5:01:16 PM1 trades$250 min
1/21/2026, 5:29:54 PM1 trades$330 min
1/21/2026, 5:42:20 PM2 trades$372 min
1/21/2026, 6:56:38 PM1 trades$370 min
1/21/2026, 7:07:08 PM1 trades$390 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
12-10
04-06
04-28
05-14
05-30
06-19
07-05
07-07

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

Profile

#14
Specialization
MIXED
0.3% weather
Holding Style
ACTIVE SELLER
34.9% sell
DCA Style
SINGLE
avg 1.8/mkt
Hedging
SINGLE
avg 1.1 br/event