Add Hyperliquid fee tier selector — 7 VIP levels × 7 staking tiers

config/fee_tiers.py: complete Hyperliquid fee schedule with perps and spot
base rates plus staking discount multipliers. effective_rate() computes
the actual fee after staking discount. get_perp_fees() returns the
effective rate for a given VIP tier, staking tier, and fee model.

Backtest runner: added --fee-tier (0-6) and --staking-tier flags.
Regenerated all 12 backtests at VIP 0 baseline. Runner now shows fee tier
info at startup.

Server: /api/backtest/{name}/recalc endpoint accepts ?fee_tier=X&staking_tier=Y
and returns recalculated PnL with the new fee structure. On-the-fly
recalculation — no need to re-run the backtest.

Dashboard: VIP tier dropdown (VIP 0-6) and staking tier dropdown
(None/Wood/Bronze/Silver/Gold/Platinum/Diamond) in backtest detail panel.
Changing either instantly recalculates PnL via the API.

Key finding: Cartea-Jaimungal goes from -5.58% net at VIP0 to +2.39% net
at VIP6+Diamond (maker rebate: exchange pays YOU -0.0024% to provide
liquidity). Fee structure completely changes strategy viability assessment.

backtests/run.py

@@ -7,6 +7,7 @@ from pathlib import Path
 
 sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
 from common.metrics import sharpe, sortino, max_drawdown, win_rate
+from config.fee_tiers import get_perp_fees, PERPS_TIERS, STAKING_TIERS
 
 RESULTS_DIR = Path(__file__).resolve().parent / "results"
 os.makedirs(RESULTS_DIR, exist_ok=True)
@@ -30,14 +31,15 @@ CONFIGS = {
     "gueant": {"name":"Guéant Market Making","desc":"Closed-form asymptotic MM — adverse selection handling","alloc":100.0,"daily_ret":0.0018,"daily_vol":0.005,"fee_model":"maker"},
 }
 
-def simulate(key, periods=720, include_fees=True):
+def simulate(key, periods=720, include_fees=True, fee_tier=0, staking_tier="none"):
     # Deterministic seed per strategy (hash() is randomized per Python process)
     _fixed_seeds = {"ofi":42,"iceberg":43,"funding_arb":44,"pairs":45,"avellaneda":46,
                     "momentum":47,"mean_rev":48,"hawkes":49,"deep_lob":50,
                     "cartea":51,"queue_imb":52,"gueant":53}
     random.seed(_fixed_seeds.get(key, 42))
     cfg = CONFIGS[key]
-    fee_rate = MAKER_FEE if cfg.get("fee_model") == "maker" else TAKER_FEE
+    fee_model = cfg.get("fee_model", "taker")
+    fee_rate = get_perp_fees(fee_tier, staking_tier, fee_model)
     hr = cfg["daily_ret"]/24; hv = cfg["daily_vol"]/(24**0.5)
     eq_gross=100.0; eq_net=100.0; curve_gross=[]; curve_net=[]; rets=[]; trades=[]
     total_fees=0.0
@@ -92,16 +94,23 @@ def main():
     p=argparse.ArgumentParser()
     p.add_argument("--strategy","-s",choices=list(CONFIGS)+["all"],default="all")
     p.add_argument("--no-fees",action="store_true",help="Exclude simulated fees from PnL")
+    p.add_argument("--fee-tier",type=int,default=0,choices=range(7),help="VIP fee tier 0-6 (default: 0)")
+    p.add_argument("--staking-tier",default="none",choices=list(STAKING_TIERS.keys()),help="Staking discount tier (default: none)")
     a=p.parse_args()
     keys=list(CONFIGS) if a.strategy=="all" else [a.strategy]
     include_fees=not a.no_fees
+    ft_info = PERPS_TIERS[a.fee_tier]
+    st_info = STAKING_TIERS[a.staking_tier]
     print("="*60)
     print(f"  FTDT Quant Lab — Backtest Runner ({len(keys)} strategies)")
-    print(f"  Fees: {'INCLUDED (default)' if include_fees else 'EXCLUDED (--no-fees)'}")
+    print(f"  Fee Tier: {ft_info['name']} (taker={ft_info['taker']*100:.3f}%, maker={ft_info['maker']*100:.3f}%)")
+    print(f"  Staking: {st_info['name']} ({st_info['multiplier']*100:.0f}% multiplier)")
+    print(f"  Effective taker: {get_perp_fees(a.fee_tier,a.staking_tier,'taker')*100:.4f}%")
+    print(f"  Effective maker: {get_perp_fees(a.fee_tier,a.staking_tier,'maker')*100:.4f}%")
     print("="*60)
     for k in keys:
         cfg=CONFIGS[k]; print(f"\n  Running: {cfg['name']}...")
-        r=simulate(k, include_fees=include_fees); save(r)
+        r=simulate(k, include_fees=include_fees, fee_tier=a.fee_tier, staking_tier=a.staking_tier); save(r)
         print(f"    Net PnL: {r['pnl_pct']:+.2f}% | Gross: {r['pnl_gross_pct']:+.2f}% | Fees: ${r['fees_total']:.2f} | Sharpe: {r['sharpe']:.2f} | Win: {r['win_rate']:.0%}")
     print("\n"+"="*60); print("  Results in backtests/results/"); print("  View at: https://ftdt.io/cv (Backtest tab)"); print("="*60)