AI Orchestrator
How the Multi-Agent Swarm and Strategy Factory manage your portfolio autonomously.
Multi-Agent Swarm
The Multi-Agent Swarm is Smartbull's core decision-making system. It consists of 5 specialized AI agents:
- Trend Agent — detects and follows momentum across timeframes
- Mean-Reversion Agent — identifies overextended moves for counter-trend entries
- Volatility Agent — trades volatility expansion/compression cycles
- Macro Agent — incorporates DXY, yields, VIX, and funding rates
- Sentiment Agent — processes news, social media, and on-chain signals
Each agent independently analyzes the market and produces a signal with confidence score. A consensus mechanism aggregates votes — requiring majority agreement before any trade is executed. This eliminates single-point-of-failure risk.
Strategy Factory
The Strategy Factory is an automated strategy generation pipeline that runs 24/7:
- Hypothesis Generation — LLM creates new trading strategy ideas based on market patterns
- Compilation — strategies are compiled into executable code in a sandboxed environment
- Backtesting — each strategy is walk-forward tested on 2+ years of data
- 20% Filter — only strategies with annualized return ≥20% pass to the next stage
- Decorrelation Check — rejects strategies correlated >0.6 with existing ones
- Paper Trading — 14-day live paper test before any real capital allocation
- Promotion — successful strategies are promoted to shadow, then live
This creates a continuous pipeline of fresh alpha sources without manual intervention.
Regime-Aware Meta-Learner v2
The Meta-Learner v2 uses a Hidden Markov Model (HMM) to detect 4 market regimes:
- Trending — strong directional moves, momentum strategies get more weight
- Mean-Reverting — range-bound, counter-trend strategies dominate
- Volatile — high uncertainty, position sizes reduced, hedges activated
- Quiet — low vol, carry/yield strategies preferred
Weights are dynamically adjusted every tick based on the detected regime. Transitions are smoothed to avoid whipsawing.
Strategy Lifecycle
Every strategy goes through a strict lifecycle:
- Candidate — newly generated, awaiting backtest validation
- Paper — 14-day paper trading experiment
- Shadow — live signals tracked but no real orders
- Live — actively trading with real capital
- Deprecated — underperforming, being phased out
- Retired — removed from active rotation
You can monitor the full lifecycle on your dashboard. The system automatically promotes and retires strategies based on performance.