SOL/USDC TRADING SYSTEM Layer A · B · C  ·  v4.0  ·  Daily 08:00 AEST
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Forward Testing · Simulation

AI Trading
Swarm

SOL / USDC Simulation 3-Layer Pipeline Daily Signal

3-layer AI pipeline: deterministic market data (Layer A), LLM swarm reasoning (Layer B), simulated execution (Layer C).

No real trades. No real money. Educational simulation running daily at 8am AEST.

APPROVE RATE
TRADE LOG
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Price Chart — Demo Data Illustrative · Not live market data
Price Buy signal Sell signal
System Status
Forward Test
SOL/USDC daily simulation
Architecture
3 Layers
Data → Reasoning → Execution
Trade Mode
Simulation
No real capital at risk
AI Stack
LLM Swarm
4-agent reasoning layer
Sample Equity Curve Illustrative · Not live
RSI (14) — Momentum Overbought >70 · Oversold <30
MACD (12, 26, 9) — Trend Histogram
Volume Demo data
Recent Execution Log Live from Supabase · Last 10 trades
Time
Action
Price
Size
Slippage
Status
The Journey (Feb–Mar 2026)
  • Started with a single trading bot, evolved to 3-layer AI swarm
  • Layer A: Deterministic sentinel (price, slippage, volatility, depth)
  • Layer B: LLM reasoning swarm (4 agents: regime, narrative, skeptic, kill switch)
Deployment Chaos
  • Vercel hanging for 10 minutes — patience needed
  • File extension issues (.html.html — my mistake)
  • Lesson: Understand WHY, not just WHAT
API Key Security Fail
  • Posted Kraken API keys in chat... twice
  • Had to delete and regenerate both times
  • Lesson: NEVER paste keys in chat — use env vars
Prompting Insights
  • "Give me the production-grade version" — be specific about quality
  • "Show me a mockup first" — validate before building
  • "Reduce scope, save tokens" — ask AI to optimise
  • ❌ "Make it better" — too vague, gets poor results
The Honest Truth
  • AI isn't magic — it's a skilled collaborator
  • Best features emerged through iteration
  • Total time: ~6 hours vs 40+ hours manually
⚠ Not financial advice. Trading is risky. DYOR.