Add Kalman Pairs to all three systems: live, paper, historical

Live node:
  - Registered in STRATEGIES dict (8th strategy)
  - Signal: KalmanPairsTrader.step(eth, btc) every compute_signals()
  - Adaptive hedge ratio updates with every tick

Paper trader:
  - Registered in STRATEGIES dict
  - Signal: KalmanPairsTrader integrated into compute_signals()
  - Falls back gracefully if kalman_pairs module not importable

Historical backtests:
  - Ran for BTC, ETH, HYPE, VVV (4 files)
  - kalman_pairs_{TICKER}_*.json in results/historical/
  - Visible on dashboard under Historical tab (8 strategies x 4 coins)

Dashboard: now shows Kalman Pairs card on all three tabs.

live/paper_trader.py

@@ -270,6 +270,23 @@ def compute_signals():
                 STRATEGIES["Pairs Trading"]["signals"].append({"time":time.time(),"signal":"SELL_ETH","strength":z})
             elif z < -1.5:
                 STRATEGIES["Pairs Trading"]["signals"].append({"time":time.time(),"signal":"BUY_ETH","strength":abs(z)})
+        # Kalman Pairs: adaptive hedge ratio
+        if len(btc_prices)>=20 and len(eth_prices)>=20:
+            try:
+                from strategies.kalman_pairs import KalmanPairsTrader
+                if "_kalman_paper" not in dir():
+                    globals()["_kalman_paper"] = KalmanPairsTrader(
+                        transition_covariance=1e-4, observation_covariance=1e-2,
+                        z_entry=2.0, z_exit=0.5, warmup_bars=20,
+                    )
+                result = globals()["_kalman_paper"].step(eth, btc)
+                if result["signal"] != 0:
+                    sig = "BUY_ETH" if result["signal"] > 0 else "SELL_ETH"
+                    STRATEGIES["Kalman Pairs"]["signals"].append({
+                        "time": time.time(), "signal": sig,
+                        "strength": abs(result["z_score"])
+                    })
+            except: pass
 
     # Momentum Breakout
     if len(btc_prices) >= 20: