APOLLO
3-Bot Solana Trading Fleet
Automated token trading with deep on-chain analysis, adaptive Bayesian scoring, and trade outcome learning. Every decision passes through the Oracle.
The Fleet
Three Bots, Three Strategies
Velocity Sniper ⚡
Detects new token launches within seconds via Geyser velocity. Tiered entry: T1 (0-5s), T2 (5-15s), T3 (15s+). Fast exit with 8% TP/SL.
Mean Reverter ↩
Watches tokens that dumped -15% to -70% from peak. Enters on 0.5% recovery signal. Phase-based exits with breakeven + trailing.
Dip Scalper 📉
Targets established coins (50K-1M mcap) dipping -15%+. Uses DexScreener + Birdeye trending. Patient 3min stale, 1hr max hold.
The Oracle's Process
How Apollo Trades
Discovery
Geyser gRPC stream detects new pools in <1s. DexScreener + Birdeye trending scan established tokens every 10s.
Deep Analysis
7 parallel signals: Birdeye security, token overview, wallet distribution, social presence, price microstructure, past trade history, on-chain patterns. Score 0-100.
Entry Gate
Only tokens scoring 60+ enter. Cooldowns, max re-entries, and consecutive loss pauses prevent tilt trading.
Position Management
5-phase trailing stop loss follows winners. Hard -12.5% max loss caps rug damage. Peak PnL capped at +50% jumps.
Exit Execution
Jupiter + Jito for speed. Priority fees via Helius API. Backrun rebates offset costs. Dual routing (RPC + Jito).
Learning Loop
Every trade outcome feeds the adaptive Bayesian scorer. Tuner analyzes every 15 min, adjusts parameters per bot. The Oracle remembers.
The Oracle's Eyes
Seven Layers of Analysis
Token Security
Top 10 holder %, creator %, mint/freeze authority, LP lock status
Market Overview
Unique wallets, holder count, buy/sell ratio, volume, liquidity
Wallet Analysis
Holder concentration, whale detection, organic buyer verification
Social Presence
Twitter/Telegram/Website verification, narrative detection
Price Microstructure
Trade size distribution, buy pressure, liquidity depth ratio
Historical Patterns
Past trade outcomes on this mint. Won/lost/rugged before?
Adaptive Scorer
Bayesian model updates per-outcome. Score threshold auto-adjusts.