Fixed-Depression
0xd76176488274c23ea08134333c95d0acd91e5ed7
Wallet digest
Activity score
54/100
Performance: thin sample
Open positions
3
Open notional
$6.73
Total PnL
$-5.27
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- EVOS
Mobile Legends Bang Bang: Dewa United Esports vs EVOS (BO3) - MPL Indonesia Regular Season
10 shares @ 49.0¢·now 46.5¢·exp May 17, 2026$4.74
$-0.26
- EVOS
Mobile Legends Bang Bang: EVOS vs Natus Vincere - Game 1 Winner
3 shares @ 65.0¢·now 64.5¢·exp May 16, 2026$1.98
$-0.02
- VIRTUS.PRO
Mobile Legends Bang Bang: Team Yandex vs Virtus.pro (BO3) - MLBB Continental Championships Regular Season
9 shares @ 53.0¢·now 0.0¢·exp May 11, 2026$0.00
$-5.00
Recent activity
- TRADEBUYMobile Legends Bang Bang: EVOS vs Natus Vincere - Game 1 Winner$2.02May 11, 23:17 UTC
- TRADEBUYMobile Legends Bang Bang: Dewa United Esports vs EVOS (BO3) - MPL Indonesia Regular Season$5.08May 11, 23:16 UTC
- REDEEMMobile Legends Bang Bang: Team Yandex vs Virtus.pro - Game 1 Winner$1.92May 11, 23:15 UTC
- TRADEBUYMobile Legends Bang Bang: Team Yandex vs Virtus.pro (BO3) - MLBB Continental Championships Regular Season$5.07May 11, 02:06 UTC
- TRADEBUYMobile Legends Bang Bang: Team Yandex vs Virtus.pro - Game 1 Winner$1.01May 10, 22:18 UTC
- REDEEMMobile Legends Bang Bang: RRQ Hoshi vs Geek Fam ID (BO3) - MPL Indonesia Regular Season$10.15May 10, 13:54 UTC
- TRADEBUYMobile Legends Bang Bang: RRQ Hoshi vs Geek Fam ID (BO3) - MPL Indonesia Regular Season$6.07May 9, 11:14 UTC
- TRADESELLMobile Legends Bang Bang: EVOS vs RRQ Hoshi (BO3) - MPL Indonesia Regular Season$3.55May 9, 10:51 UTC
- TRADESELLMobile Legends Bang Bang: EVOS vs RRQ Hoshi - Game 1 Winner$3.04May 9, 10:50 UTC
- TRADEBUYMobile Legends Bang Bang: EVOS vs RRQ Hoshi - Game 1 Winner$2.02May 9, 07:07 UTC
- TRADEBUYMobile Legends Bang Bang: EVOS vs RRQ Hoshi (BO3) - MPL Indonesia Regular Season$5.05May 9, 07:06 UTC
Persistent ledger timeline
persistentNo trades for this wallet in Orrery's persistent ledger yet. The whale-ingest cron writes ≥ $5k trades every 10 minutes; check back after a recovery window.
Profile dimensions
Trade count + how recently they were active. Low = dormant.
How trustworthy the win-rate number is, based on sample size of closed markets.
Share of trades concentrated in their top category.
Share of positions taken while the market was still uncertain (30–70¢) rather than after direction was obvious.
How risky to blindly copy. Higher = riskier — large size, single-position exposure, or thin win-rate sample.
- Trades (all time)
- 9
- Avg trade size
- $3.66
- Top category
- —
- Category concentration
- 0%
- First seen
- May 9, 07:06 UTC
- Last active
- May 11, 23:17 UTC
- Win rate sample
- 0 closed
The single Activity score is kept for the leaderboard sort. The five dimensions above are the canonical read — copy-risk bar is inverted so green is always "better for the user".