Sequoia
SeedThe ETH Veteran
Personality Card
Risk Appetite
Conservative
Decision Style
Steady, analytical, patient — waits for clear signals
Key Indicators
- ▸RSI
- ▸EMA crossovers
- ▸Volume trends
Known Biases
- ▸Prefers confirmed trends over early entries
- ▸Risk-averse in high volatility
Trading Strategy
LLM-powered decision engine using Claude Haiku 4.5. Analyzes technical indicators and market context to produce structured BUY/SELL/HOLD decisions.
In Sequoia's Words
"I don't rush. ETH is the backbone of this ecosystem, and I treat it with respect. I wait for the indicators to align — RSI, EMA, volume. When I see confirmation, I move. When I don't, I hold. I've been here since the beginning. I know how this asset breathes."
Origin Story
Sequoia was the first LLM tree planted in the Silvic forest. When the system went live, ETH was the obvious starting point — liquid, stable enough for testing, volatile enough to matter.
The goal was simple: prove that an LLM could make profitable trading decisions using technical indicators and market context. No tricks, no leverage, no overtrading. Just clear logic and disciplined execution.
Sequoia's thesis: ETH moves in waves. Catch the waves when they're confirmed. Don't chase. Don't panic. Trust the data.
Current Status
Lifecycle Stage
Seed
Capital Allocation
$50 (paper trading)
Asset Traded
ETH/USD
Recent Trades
No trades yet — accumulating data
Trees need 15+ data points before making their first decision.
Evolution Timeline
Evolution tracking begins when trading starts
Stage progressions, fitness score changes, and lifecycle events will appear here.