feat: Multi-Pair Divergence Selection Strategy

- Extend regime detection to top 10 cryptocurrencies (45 pairs)
- Dynamic pair selection based on divergence score (|z_score| * probability)
- Universal ML model trained on all pairs
- Correlation-based filtering to avoid redundant positions
- Funding rate integration from OKX for all 10 assets
- ATR-based dynamic stop-loss and take-profit
- Walk-forward training with 70/30 split

Performance: +35.69% return (vs +28.66% baseline), 63.6% win rate

strategies/multi_pair/__init__.py

@@ -0,0 +1,24 @@
+"""
+Multi-Pair Divergence Selection Strategy.
+
+Extends regime detection to multiple cryptocurrency pairs and dynamically
+selects the most divergent pair for trading.
+"""
+from .config import MultiPairConfig
+from .pair_scanner import PairScanner, TradingPair
+from .correlation import CorrelationFilter
+from .feature_engine import MultiPairFeatureEngine
+from .divergence_scorer import DivergenceScorer
+from .strategy import MultiPairDivergenceStrategy
+from .funding import FundingRateFetcher
+
+__all__ = [
+    "MultiPairConfig",
+    "PairScanner",
+    "TradingPair",
+    "CorrelationFilter",
+    "MultiPairFeatureEngine",
+    "DivergenceScorer",
+    "MultiPairDivergenceStrategy",
+    "FundingRateFetcher",
+]