diff --git a/live/node.py b/live/node.py
index 0e8f12b..69924e0 100644
--- a/live/node.py
+++ b/live/node.py
@@ -5,7 +5,7 @@ Uses real orderbook to place maker orders AT the best bid/ask level,
 not at mid ± random spread. Refreshes quotes every cycle to stay
 at queue front. Avellaneda-Stoikov places dual-sided quotes simultaneously.
 
-7 strategies x 100 USDC | Maker: 0.02% | Hyperliquid Testnet.
+8 strategies x 100 USDC | Maker: 0.02% | Hyperliquid Testnet.
 """
 import os, sys, asyncio, json, time, logging, random, math
 from pathlib import Path
@@ -31,14 +31,14 @@ RESERVE = 398.0
 MAKER_FEE = 0.0002
 
 STRATEGIES = {
-    "Order Book Imbalance": {"allocation":100.0,"instrument":"BTC-USD-PERP","pnl":0.0,"pnl_pct":0.0,"position":0.0,"trades_today":0,"wins":0,"win_rate":0.0,"status":"idle","size":0.000200504030201000,"fee_paid":0.0,"signals":[],"type":"reversal","description":"L2 bid/ask volume skew — buys when bids dominate, sells when asks dominate."},
+    "Order Book Imbalance": {"allocation":100.0,"instrument":"BTC-USD-PERP","pnl":0.0,"pnl_pct":0.0,"position":0.0,"trades_today":0,"wins":0,"win_rate":0.0,"status":"idle","size":0.000200,"fee_paid":0.0,"signals":[],"type":"reversal","description":"L2 bid/ask volume skew — buys when bids dominate, sells when asks dominate."},
     "Iceberg Detection": {"allocation":100.0,"instrument":"BTC-USD-PERP","pnl":0.0,"pnl_pct":0.0,"position":0.0,"trades_today":0,"wins":0,"win_rate":0.0,"status":"idle","size":0.000210,"fee_paid":0.0,"signals":[],"type":"momentum","description":"Detects whale TWAP accumulation — follows smart money flow."},
     "Funding Rate Arb": {"allocation":100.0,"instrument":"BTC-USD-PERP","pnl":0.0,"pnl_pct":0.0,"position":0.0,"trades_today":0,"wins":0,"win_rate":0.0,"status":"idle","size":0.000220,"fee_paid":0.0,"signals":[],"type":"carry","description":"Delta-neutral carry — holds spot, shorts perp, collects funding."},
     "Pairs Trading": {"allocation":100.0,"instrument":"ETH-USD-PERP","pnl":0.0,"pnl_pct":0.0,"position":0.0,"trades_today":0,"wins":0,"win_rate":0.0,"status":"idle","size":0.006,"fee_paid":0.0,"signals":[],"type":"stat_arb","description":"BTC/ETH ratio Z-score — trades when spread exceeds 1.5σ."},
     "Avellaneda-Stoikov": {"allocation":100.0,"instrument":"BTC-USD-PERP","pnl":0.0,"pnl_pct":0.0,"position":0.0,"trades_today":0,"wins":0,"win_rate":0.0,"status":"idle","size":0.000230,"fee_paid":0.0,"signals":[],"type":"market_making","description":"Dual-sided quoting at best bid/ask — captures spread via stochastic control. Places both sides simultaneously."},
-    "Momentum Breakout": {"allocation":100.0,"instrument":"BTC-USD-PERP","pnl":0.0,"pnl_pct":0.0,"position":0.0,"trades_today":0,"wins":0,"win_rate":0.0,"status":"idle","size":0.000240,"fee_paid":0.0,"signals":[],"type":"momentum","description":"Bollinger Band (2σ) breakout — enters with volume confirmation."},
-    "Mean Reversion": {"allocation":100.0,"instrument":"BTC-USD-PERP","pnl":0.0,"pnl_pct":0.0,"position":0.0,"trades_today":0,"wins":0,"win_rate":0.0,"status":"idle","size":0.000250,"fee_paid":0.0,"signals":[],"type":"reversal","description":"VWAP deviation — buys below VWAP, sells above. Oscillates around fair value."},
-    "Kalman Pairs": {"allocation":100.0,"instrument":"ETH-USD-PERP","pnl":0.0,"pnl_pct":0.0,"position":0.0,"trades_today":0,"wins":0,"win_rate":0.0,"status":"idle","size":0.006,"fee_paid":0.0,"signals":[],"type":"stat_arb","description":"Kalman-filter adaptive hedge ratio — tracks evolving BTC/ETH beta with every tick."}
+    "Momentum Breakout": {"allocation":100.0,"instrument":"ETH-USD-PERP","pnl":0.0,"pnl_pct":0.0,"position":0.0,"trades_today":0,"wins":0,"win_rate":0.0,"status":"idle","size":0.0005,"fee_paid":0.0,"signals":[],"type":"momentum","description":"Bollinger Band (1.2σ) breakout on ETH — enters when price breaks bands."},
+    "Mean Reversion": {"allocation":100.0,"instrument":"ETH-USD-PERP","pnl":0.0,"pnl_pct":0.0,"position":0.0,"trades_today":0,"wins":0,"win_rate":0.0,"status":"idle","size":0.0005,"fee_paid":0.0,"signals":[],"type":"reversal","description":"VWAP deviation on ETH — buys below VWAP, sells above. Higher vol = more reversion."},
+    "Kalman Pairs": {"allocation":100.0,"instrument":"ETH-USD-PERP","pnl":0.0,"pnl_pct":0.0,"position":0.0,"trades_today":0,"wins":0,"win_rate":0.0,"status":"idle","size":0.005,"fee_paid":0.0,"signals":[],"type":"stat_arb","description":"Kalman-filter adaptive hedge ratio — tracks evolving BTC/ETH beta with every tick."}
 }
 
 trades_log: list[dict] = []
@@ -124,8 +124,8 @@ def compute_signals():
     # Iceberg: trend count
     if len(btc_prices)>=10:
         up = sum(1 for i in range(-9,0) if btc_prices[i+1]>btc_prices[i])
-        if up>=5: STRATEGIES["Iceberg Detection"]["signals"].append({"time":time.time(),"signal":"BUY","strength":up/10})
-        elif up<=5: STRATEGIES["Iceberg Detection"]["signals"].append({"time":time.time(),"signal":"SELL","strength":1-up/10})
+        if up>=7: STRATEGIES["Iceberg Detection"]["signals"].append({"time":time.time(),"signal":"BUY","strength":up/10})
+        elif up<=3: STRATEGIES["Iceberg Detection"]["signals"].append({"time":time.time(),"signal":"SELL","strength":1-up/10})
 
     # Funding Rate Arb: real API data
     try:
@@ -154,8 +154,8 @@ def compute_signals():
         cur = btc/eth if eth>0 else 0
         if std>0:
             z = (cur-mu)/std
-            if z>1.5: 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)})
+            if z>1.2: STRATEGIES["Pairs Trading"]["signals"].append({"time":time.time(),"signal":"SELL_ETH","strength":z})
+            elif z<-1.2: STRATEGIES["Pairs Trading"]["signals"].append({"time":time.time(),"signal":"BUY_ETH","strength":abs(z)})
     # Kalman Pairs: adaptive hedge via Kalman filter (falls back to Pairs logic)
     if len(btc_prices)>=20 and len(eth_prices)>=20:
         try:
@@ -174,20 +174,20 @@ def compute_signals():
                 })
         except: pass
 
-    # Momentum: Bollinger
-    if len(btc_prices)>=20:
-        w = list(btc_prices)[-20:]; sma = sum(w)/len(w)
+    # Momentum: Bollinger on ETH
+    if len(eth_prices)>=20:
+        w = list(eth_prices)[-20:]; eth_cur = eth_prices[-1]; sma = sum(w)/len(w)
         variance = sum((p-sma)**2 for p in w)/len(w); std = math.sqrt(variance)
         if std>0:
-            if btc > sma+1.5*std: STRATEGIES["Momentum Breakout"]["signals"].append({"time":time.time(),"signal":"BUY","strength":(btc-sma-2*std)/std})
-            elif btc < sma-1.5*std: STRATEGIES["Momentum Breakout"]["signals"].append({"time":time.time(),"signal":"SELL","strength":(sma-2*std-btc)/std})
+            if eth_cur > sma+1.2*std: STRATEGIES["Momentum Breakout"]["signals"].append({"time":time.time(),"signal":"BUY","strength":(eth_cur-sma-1.2*std)/std})
+            elif eth_cur < sma-1.2*std: STRATEGIES["Momentum Breakout"]["signals"].append({"time":time.time(),"signal":"SELL","strength":(sma-1.2*std-eth_cur)/std})
 
-    # Mean Reversion: VWAP
-    if len(btc_prices)>=20:
-        w = list(btc_prices)[-20:]; vols = [1+i/len(w) for i in range(len(w))]
+    # Mean Reversion: VWAP on ETH
+    if len(eth_prices)>=20:
+        w = list(eth_prices)[-20:]; eth_mr = eth_prices[-1]; vols = [1+i/len(w) for i in range(len(w))]
         vwap = sum(p*v for p,v in zip(w,vols))/sum(vols)
         vstd = math.sqrt(sum((p-vwap)**2 for p in w)/len(w))
-        dev = (btc-vwap)/vstd if vstd>0 else 0
+        dev = (eth_mr-vwap)/vstd if vstd>0 else 0
         if dev>1.0: STRATEGIES["Mean Reversion"]["signals"].append({"time":time.time(),"signal":"SELL","strength":dev})
         elif dev<-1.0: STRATEGIES["Mean Reversion"]["signals"].append({"time":time.time(),"signal":"BUY","strength":abs(dev)})