trading-signals

Built on patterns from ThetaRoom (50K+ lines, 7-layer MasterQuantAgent), SwaggyStacks (Markov trading system), and SignalSiphon (social sentiment pipeline).

<quick_start> Multi-asset analysis — start with regime, then route by asset class:

1. Identify regime → Markov 7-state model (see reference/markov-regime.md)
2. Route by asset → Options? Stocks? Crypto? Commodities? VIX? Forex?
3. Apply methodologies → Confluence scoring with regime-weighted fusion
4. Size the position → Risk management (max 2% per trade, 15% portfolio)
5. Explain the why → Educational mode: every signal comes with reasoning

Confluence score:

• 0.7-1.0: High conviction → execute with full position
• 0.4-0.7: Moderate → wait for more confluence or reduce size
• 0.0-0.4: No trade → stay patient