feat: Hyperliquid fee schedule — all tiers, staking, maker rebates
config/fee_tiers.py — complete rewrite:
- 7 perps fee tiers (T0-T6) matching HL docs:
T0: 0.045/0.015% → T6: 0.024/0.000%
- 7 spot fee tiers (T0-T6):
T0: 0.070/0.040% → T6: 0.025/0.000%
- 7 staking tiers (none → diamond):
multiplier 1.00 → 0.60 (40% discount)
- 3 maker rebate tiers (>0.5%, >1.5%, >3% maker ratio)
extra -0.001% to -0.003% on positive maker rates
- compute_trade_fees() — per-trade fee breakdown
- fee_tier_from_volume(), staking_tier_from_hype()
- STRATEGY_FEE_MODELS: maker/taker classification per strategy
backtests/vbt_runner.py:
- Accept vip_tier, staking_tier, maker_rebate_tier at init
- Auto-detect fee model per strategy (maker vs taker)
- compute_trade_fees() for per-trade fee calculation
- Include fee_info in result JSON
dashboard/server.py:
- /api/vbt/run accepts fee_tier/aking_tier/maker_rebate params
- Trade normalization uses proper HL fee schedule per strategy
- /api/vbt/result/{filename}/recalc — recalc trades with new tiers
- /api/vbt/fee_tiers — get full fee schedule as JSON
dashboard/static/vbt.html:
- Fee tier selector (T0-T6) + staking tier selector
- Auto-recalculate on tier change when a result is selected
- Fee rate shown in trade log header (e.g. 0.045%)
This commit is contained in:
+80
-10
@@ -580,18 +580,23 @@ def _normalize_vbt_fields(data: dict) -> dict:
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trades = out.get("trades", [])
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if trades:
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asset = _infer_asset(out.get("strategy", ""), "")
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hl_fee = 0.0005 # default Hyperliquid taker rate
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strategy_name = out.get("strategy", "")
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from config.fee_tiers import get_strategy_fee_model, compute_trade_fees
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fee_model = get_strategy_fee_model(strategy_name)
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for t in trades:
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if not t.get("asset"):
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t["asset"] = asset
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if not t.get("fee"):
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entry_px = float(t.get("entry_px", 0))
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exit_px = float(t.get("exit_px", 0))
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size = float(t.get("size", 0))
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notional_entry = size * entry_px
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notional_exit = size * exit_px
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t["fee"] = round((notional_entry + notional_exit) * hl_fee, 6)
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t["fee_rate"] = f"{hl_fee*100:.3f}%"
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ft = compute_trade_fees(
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side=t.get("side", "BUY"),
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size=float(t.get("size", 0)),
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entry_px=float(t.get("entry_px", 0)),
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exit_px=float(t.get("exit_px", 0)),
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vip_tier=0, staking_tier="none",
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fee_model=fee_model,
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)
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t["fee"] = ft["total_fee"]
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t["fee_rate_pct"] = ft["effective_rate_pct"]
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if not t.get("pnl_net"):
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t["pnl_net"] = t.get("pnl", 0)
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if not t.get("pnl_gross"):
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@@ -746,11 +751,16 @@ async def run_vbt_backtest(
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limit: int = 500,
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coin: str = "",
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testnet: bool = False,
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fee_tier: int = 0,
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staking_tier: str = "none",
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maker_rebate: int = 0,
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):
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"""Run a new VectorBT backtest and return results."""
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"""Run a new VectorBT backtest with Hyperliquid fee schedule."""
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try:
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from backtests.vbt_runner import VBTBacktestRunner
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runner = VBTBacktestRunner()
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runner = VBTBacktestRunner(
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vip_tier=fee_tier, staking_tier=staking_tier, maker_rebate_tier=maker_rebate
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)
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ts = datetime.now().strftime("%Y%m%d-%H%M%S")
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coin_suffix = f"_{coin}" if coin else ""
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result = runner.run_strategy(
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@@ -806,6 +816,66 @@ async def list_vbt_strategies():
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])
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@app.get("/api/vbt/result/{filename}/recalc")
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async def recalc_vbt_trades(
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filename: str,
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fee_tier: int = 0,
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staking_tier: str = "none",
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maker_rebate: int = 0,
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):
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"""Recalculate VBT trade fees with different fee tier/staking."""
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_refresh_vbt_cache()
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if filename in _vbt_full_cache:
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data = dict(_vbt_full_cache[filename])
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else:
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for d in [BACKTEST_DIR, HISTORICAL_DIR]:
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fpath = os.path.join(d, filename)
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if os.path.exists(fpath):
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with open(fpath) as f:
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data = json.load(f)
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break
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else:
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return JSONResponse({"error": "not found"}, status_code=404)
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from config.fee_tiers import get_strategy_fee_model, compute_trade_fees
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fee_model = get_strategy_fee_model(data.get("strategy", ""))
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trades = data.get("trades", [])
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for t in trades:
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ft = compute_trade_fees(
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side=t.get("side", "BUY"),
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size=float(t.get("size", 0)),
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entry_px=float(t.get("entry_px", 0)),
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exit_px=float(t.get("exit_px", 0)),
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vip_tier=fee_tier,
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staking_tier=staking_tier,
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fee_model=fee_model,
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maker_rebate_tier=maker_rebate,
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)
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t["fee"] = ft["total_fee"]
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t["fee_rate_pct"] = ft["effective_rate_pct"]
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pnl_old = float(t.get("pnl_gross", t.get("pnl", 0)))
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t["pnl_net"] = round(pnl_old - ft["total_fee"], 4)
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data["fee_info"] = compute_trade_fees(
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"BUY", 0.001, 100000.0, 100000.0,
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vip_tier=fee_tier, staking_tier=staking_tier,
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fee_model=fee_model, maker_rebate_tier=maker_rebate,
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)
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return JSONResponse(data)
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@app.get("/api/vbt/fee_tiers")
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async def list_fee_tiers():
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"""Return current Hyperliquid fee schedule for frontend."""
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from config.fee_tiers import PERPS_TIERS, STAKING_TIERS, MAKER_REBATES
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return JSONResponse({
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"perps": {str(k): v for k, v in PERPS_TIERS.items()},
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"staking": {k: v for k, v in STAKING_TIERS.items()},
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"maker_rebates": {str(k): v for k, v in MAKER_REBATES.items()},
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})
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@app.get("/api/vbt/result/{filename}/csv")
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async def get_vbt_csv(filename: str):
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"""Download VBT backtest trades as CSV."""
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@@ -118,6 +118,26 @@ select:focus{outline:none;border-color:#555}
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<option value="trades">Trades</option>
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</select>
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</div>
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<div class="row" style="margin-top:2px">
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<select id="fee-tier" style="flex:0.6" onchange="recalcIfSelected()">
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<option value="0" selected>T0 (Base 0.045%/0.015%)</option>
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<option value="1">T1 (>$5M 0.040/0.012)</option>
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<option value="2">T2 (>$25M 0.035/0.008)</option>
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<option value="3">T3 (>$100M 0.030/0.004)</option>
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<option value="4">T4 (>$500M 0.028/0.000)</option>
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<option value="5">T5 (>$2B 0.026/0.000)</option>
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<option value="6">T6 (>$7B 0.024/0.000)</option>
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</select>
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<select id="staking-tier" style="flex:0.4" onchange="recalcIfSelected()">
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<option value="none">No Stake</option>
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<option value="wood">Wood (-5%)</option>
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<option value="bronze">Bronze (-10%)</option>
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<option value="silver">Silver (-15%)</option>
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<option value="gold">Gold (-20%)</option>
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<option value="platinum">Platinum (-30%)</option>
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<option value="diamond">Diamond (-40%)</option>
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</select>
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</div>
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<div class="row">
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<select id="run-strategy">
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<option value="pairs">Pairs Trading</option>
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@@ -259,7 +279,8 @@ function renderDetail(r){
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const assetBadge = t.asset ? '<span style="font-size:9px;color:#03A9F4;background:#0d1f2b;border:1px solid #1a3a4a;border-radius:2px;padding:0 4px;margin-left:4px">'+t.asset+'</span>' : '';
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return '<tr><td style="color:#777;font-size:10px">'+String(t.time||'').substring(0,19)+'</td><td class="'+(String(t.side||'').includes('BUY')?'pos':'neg')+'">'+String(t.side||'')+assetBadge+'</td><td>'+Number(t.size||0).toFixed(6)+'</td><td>$'+Number(t.entry_px||0).toFixed(1)+'</td><td>$'+Number(t.exit_px||0).toFixed(1)+'</td><td class="neg" style="font-size:10px">$'+fee.toFixed(6)+'</td><td class="'+pnlCls+'">$'+pnl_net.toFixed(4)+'</td><td style="font-size:10px">'+String(t.duration||'')+'</td></tr>';
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}).join('');
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trades_html='<div class="chart-box full"><div style="display:flex;justify-content:space-between;align-items:center"><h4>Trade Log ('+trades.length+' trades)</h4></div><div class="trade-scroll"><table class="trades-table"><thead><tr><th>Time</th><th>Side</th><th>Size</th><th>Entry</th><th>Exit</th><th>Fee</th><th>PnL (net)</th><th>Duration</th></tr></thead><tbody>'+rows+'</tbody></table></div></div>';
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const feeRate = trades[0]?.fee_rate_pct ? ' · '+trades[0].fee_rate_pct+'%' : '';
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trades_html='<div class="chart-box full"><div style="display:flex;justify-content:space-between;align-items:center"><h4>Trade Log ('+trades.length+' trades'+feeRate+')</h4></div><div class="trade-scroll"><table class="trades-table"><thead><tr><th>Time</th><th>Side</th><th>Size</th><th>Entry</th><th>Exit</th><th>Fee</th><th>PnL (net)</th><th>Duration</th></tr></thead><tbody>'+rows+'</tbody></table></div></div>';
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}
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document.getElementById('content').innerHTML=
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@@ -307,11 +328,26 @@ function exportJSON(){if(!currentResult)return;const blob=new Blob([JSON.stringi
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function exportCSV(){if(!currentFilename)return;const a=document.createElement('a');a.href=API+'/api/vbt/result/'+encodeURIComponent(currentFilename)+'/csv';a.download=currentFilename.replace('.json','')+'_trades.csv';a.click();}
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async function recalcIfSelected(){
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if(!currentFilename)return;
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const feeTier=document.getElementById('fee-tier').value;
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const staking=document.getElementById('staking-tier').value;
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const makerRebate=0;
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try{
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const url=API+'/api/vbt/result/'+encodeURIComponent(currentFilename)+'/recalc?fee_tier='+feeTier+'&staking_tier='+staking+'&maker_rebate='+makerRebate;
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const r=await(await fetch(url)).json();
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if(r.error){return;}
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currentResult=r;renderDetail(r);
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}catch(e){/* ignore */}
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}
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async function runNewBacktest(){
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const strat=document.getElementById('run-strategy').value;
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const interval=document.getElementById('run-interval').value;
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const limit=document.getElementById('run-limit').value;
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const coin=document.getElementById('run-coin').value;
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const feeTier=document.getElementById('fee-tier').value;
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const staking=document.getElementById('staking-tier').value;
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const btn=document.getElementById('btn-run');
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const status=document.getElementById('run-status');
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const orig=btn.textContent;btn.textContent='⏳ Running...';btn.disabled=true;
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@@ -322,7 +358,7 @@ async function runNewBacktest(){
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status.innerHTML='<div class="run-status">Running '+strat+' '+interval+'... '+elapsed+'s</div><div class="progress-bar" style="width:'+Math.min(elapsed*10,95)+'%"></div>';
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},1000);
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try{
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let url=API+'/api/vbt/run?strategy='+strat+'&interval='+interval+'&limit='+limit;
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let url=API+'/api/vbt/run?strategy='+strat+'&interval='+interval+'&limit='+limit+'&fee_tier='+feeTier+'&staking_tier='+staking;
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if(coin)url+='&coin='+coin;
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const resp=await fetch(url);
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const data=await resp.json();
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