Wally Whale
The Vulture
π Crypto Native π 15 years old (Born 2011)"Whales can't hide on-chain. But the real edge isn't following their buysβit's buying their forced sells."
Man in his late 40s with sonar-like awareness. Multiple monitors showing blockchain explorers and liquidation data. Maritime aesthetic with a vulture's patience.
π 2 Years Performance: We gave Wally Whale $10,000 and let her trade 12 crypto symbols from Jan 3, 2024 to today. π’ LIVE
Quick Performance Comparison
Click any period to view detailed stats
Equity Curve (2 Years)
Combined P&L across all 12 symbols
π° Trading Activity (2 Years)
β οΈ Important Note:
This simulation tests each symbol with its own $10K account (not pooled).
Crypto symbols can show 40-75%+ fee drag due to high trade frequency.
Stocks are FREE on Alpaca, so the ~100 stock symbols have zero fee impact.
βοΈ Trading Strategy
Buy 3Γ volume spikes AFTER 15%+ dumps from 24h high
Original strategy (v1) bought volume spikes with rising pricesβthis caught tops and bled out (-84% avg return). BENED's backtesting revealed the OPPOSITE works. Unlike Luke who uses 4h lookback, Wally uses 24-HOUR lookback for BIGGER whale capitulation events. 604 trades over 2 years with +19% average return.
π― Best Suited For
Post-liquidation bounces in volatile crypto
π Why This Strategy Works
Luke catches quick liquidation bounces (4h window). Wally catches WHALE-sized capitulation (24h window). Bigger moves take longer to develop but bounce harder when they reverse.
Mathematical Formula
CODE VERIFIED β
These formulas are extracted directly from the simulation engine and verified against the source code.
Source: scripts/run-*-simulation.php
π Entry Signal (Whale Capitulation Buy)
π Entry Signal (Whale Capitulation Buy)
π Exit Conditions
βοΈ Simulation Parameters
π Historical Origin
Origin: Blockchain analysts tracking large wallets and capitulation events
By 2011, analysts realized they could track large wallets. The original "follow the whale" thesis seemed logicalβbut backtesting 2024-2026 data revealed it was a consistent loser. BENED refined the strategy to buy whale CAPITULATION instead of whale accumulation.
π Top 10 Performing Symbols (2 Years)
π Worst 5 Performing Symbols (2 Years)
π All Symbol Results
Click on any row to see detailed trade history with equity curve
| Rank | Symbol | Return | Start | Final Value | Trades | Win Rate | Fees | Net | Max DD | Avg Hold | Refunds | Last Refund |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |
SHIBUSD βΏ
|
+116.71% | $10,000 | $21,671 | 46 | 52% | $4,258 | +$11,671 | -31.6% | 2.6h | β | - |
| 2 |
PEPEUSD βΏ
|
+93.19% | $10,000 | $19,319 | 197 | 47% | $23,551 | +$9,319 | -60.1% | 3.5h | β | - |
| 3 |
DOGEUSD βΏ
|
+26.55% | $10,000 | $12,655 | 47 | 51% | $3,045 | +$2,655 | -32.2% | 4.2h | β | - |
| 4 |
SOLUSD βΏ
|
+21.81% | $10,000 | $12,181 | 26 | 50% | $1,706 | +$2,181 | -15.6% | 3.4h | β | - |
| 5 |
XRPUSD βΏ
|
+20.98% | $10,000 | $12,098 | 30 | 60% | $1,893 | +$2,098 | -31.3% | 2.0h | β | - |
| 6 |
ETHUSD βΏ
|
+9.89% | $10,000 | $10,989 | 17 | 59% | $869 | +$989 | -12.7% | 3.1h | β | - |
| 7 |
UNIUSD βΏ
|
+7.47% | $10,000 | $10,747 | 60 | 53% | $3,402 | +$747 | -42.4% | 3.8h | β | - |
| 8 |
BTCUSD βΏ
|
+7.12% | $10,000 | $10,712 | 5 | 60% | $259 | +$712 | -3.5% | 1.2h | β | - |
| 9 |
LINKUSD βΏ
|
-6.24% | $10,000 | $9,376 | 39 | 38% | $2,304 | -$624 | -30.8% | 3.4h | β | - |
| 10 |
DOTUSD βΏ
|
-15.75% | $10,000 | $8,425 | 43 | 47% | $2,208 | -$1,575 | -31.1% | 3.2h | β | - |
| 11 |
AVAXUSD βΏ
|
-20.40% | $10,000 | $7,960 | 48 | 46% | $2,634 | -$2,040 | -45.2% | 2.8h | β | - |
| 12 |
LTCUSD βΏ
|
-31.13% | $10,000 | $6,887 | 33 | 45% | $1,499 | -$3,113 | -49.6% | 3.3h | β | - |
π€ Personality
Obsessive researcher. Originally followed whale accumulation, but learned the hard way that buying INTO volume spikes means buying tops. Now waits for capitulation.
SHIBUSD
PEPEUSD
DOGEUSD
SOLUSD
XRPUSD
ETHUSD
UNIUSD
BTCUSD
LINKUSD
DOTUSD
LTCUSD
AVAXUSD