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:
- Identify regime → Markov 7-state model (see
reference/markov-regime.md) - Route by asset → Options? Stocks? Crypto? Commodities? VIX? Forex?
- Apply methodologies → Confluence scoring with regime-weighted fusion
- Size the position → Risk management (max 2% per trade, 15% portfolio)
- 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
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