Hugging Face's logo

Spaces:
At1uri
/
alphabacktest-studio
Running

App Files Community
alphabacktest-studio
File size: 39,964 Bytes
02c4dda
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
aacb67f
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>AlphaBacktest Studio | Ramprasad Atluri</title>
  <script src="https://cdn.tailwindcss.com"></script>
  <script src="https://cdn.plot.ly/plotly-2.32.0.min.js"></script>
  <link rel="preconnect" href="https://fonts.googleapis.com">
  <link rel="preconnect" href="https://fonts.gstatic.com">
  <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500;600&display=swap" rel="stylesheet">
  <style>
    body { font-family: 'Inter', sans-serif; }
    code, pre, .font-mono { font-family: 'JetBrains Mono', monospace; }
    ::-webkit-scrollbar { width: 6px; height: 6px; }
    ::-webkit-scrollbar-track { background: #0f172a; }
    ::-webkit-scrollbar-thumb { background: #334155; border-radius: 4px; }
    ::-webkit-scrollbar-thumb:hover { background: #475569; }
  </style>
</head>
<body class="bg-slate-950 text-slate-100 min-h-screen flex flex-col">

  <!-- Top Header Navigation -->
  <header class="border-b border-slate-800 bg-slate-900/80 backdrop-blur sticky top-0 z-50">
    <div class="max-w-7xl mx-auto px-4 py-3 flex flex-wrap items-center justify-between gap-4">
      <div class="flex items-center space-x-3">
        <div class="w-10 h-10 rounded-xl bg-gradient-to-tr from-emerald-500 to-cyan-400 flex items-center justify-center shadow-lg shadow-emerald-500/20 text-white font-bold text-xl">
          ⚡
        </div>
        <div>
          <h1 class="text-lg font-bold tracking-tight text-white flex items-center gap-2">
            AlphaBacktest Studio
            <span class="text-xs px-2 py-0.5 rounded-full bg-emerald-500/10 text-emerald-400 border border-emerald-500/20 font-medium">v1.0</span>
          </h1>
          <p class="text-xs text-slate-400">Quantitative Algorithmic Strategy Backtesting & Risk Analytics</p>
        </div>
      </div>
      <div class="flex items-center space-x-3">
        <a href="https://huggingface.co/spaces/At1uri/quantitative-time-series-studio" target="_blank" class="px-3 py-1.5 rounded-lg bg-slate-800/80 hover:bg-slate-700 border border-slate-700 text-xs font-medium text-slate-300 transition">
          📈 Time-Series Studio
        </a>
        <a href="https://huggingface.co/At1uri" target="_blank" class="flex items-center gap-2 px-3 py-1.5 rounded-lg bg-emerald-500/10 hover:bg-emerald-500/20 border border-emerald-500/30 text-xs font-medium text-emerald-400 transition">
          <span class="w-2 h-2 rounded-full bg-emerald-400 animate-pulse"></span>
          Author: @At1uri
        </a>
      </div>
    </div>
  </header>

  <!-- Main Container -->
  <main class="max-w-7xl mx-auto px-4 py-6 flex-1 w-full grid grid-cols-1 lg:grid-cols-12 gap-6">

    <!-- Left Strategy & Parameter Config Panel (4 Columns) -->
    <div class="lg:col-span-4 bg-slate-900/70 border border-slate-800 rounded-2xl p-5 shadow-xl flex flex-col space-y-5">
      <div>
        <h2 class="text-xs font-semibold uppercase tracking-wider text-emerald-400 mb-1">Strategy & Parameters</h2>
        <p class="text-xs text-slate-400">Configure strategy rules, market regimes, and execution costs</p>
      </div>

      <!-- Strategy Selection -->
      <div class="space-y-1.5">
        <label class="text-xs font-medium text-slate-300">Algorithmic Strategy</label>
        <select id="strategyType" class="w-full bg-slate-950 border border-slate-700 rounded-xl px-3 py-2 text-xs text-slate-200 focus:outline-none focus:ring-2 focus:ring-emerald-500">
          <option value="ma_cross">Dual Moving Average Crossover (Trend)</option>
          <option value="rsi">RSI Dynamic Mean-Reversion (Oscillator)</option>
          <option value="bollinger">Bollinger Bands Volatility Breakout</option>
          <option value="macd">MACD Signal Line Crossover (Momentum)</option>
        </select>
      </div>

      <!-- Dynamic Strategy Parameters -->
      <div id="strategyParams" class="bg-slate-950/80 border border-slate-800/90 rounded-xl p-3.5 space-y-3">
        <!-- Rendered dynamically via JS based on selected strategy -->
      </div>

      <!-- Market Regime & Data Selection -->
      <div class="space-y-1.5">
        <label class="text-xs font-medium text-slate-300">Market Regime / Asset Series</label>
        <select id="marketRegime" class="w-full bg-slate-950 border border-slate-700 rounded-xl px-3 py-2 text-xs text-slate-200 focus:outline-none focus:ring-2 focus:ring-emerald-500">
          <option value="bull">Tech Growth Equity (Sustained Bull with Pullbacks)</option>
          <option value="sideways">Mean-Reverting Range (Choppy / Low Trend)</option>
          <option value="bear">Cyclical Bear Market (High Volatility Drawdowns)</option>
          <option value="crypto">Crypto High-Beta Cycle (Extreme Volatility)</option>
        </select>
      </div>

      <!-- Time Horizon & Capital Grid -->
      <div class="grid grid-cols-2 gap-3">
        <div class="space-y-1">
          <label class="text-xs font-medium text-slate-400">Initial Capital ($)</label>
          <input type="number" id="initialCapital" value="100000" step="5000" class="w-full bg-slate-950 border border-slate-700 rounded-lg px-2.5 py-1.5 text-xs text-slate-200 focus:ring-1 focus:ring-emerald-500">
        </div>
        <div class="space-y-1">
          <label class="text-xs font-medium text-slate-400">History (Days)</label>
          <input type="number" id="historyDays" value="365" min="120" max="1000" step="30" class="w-full bg-slate-950 border border-slate-700 rounded-lg px-2.5 py-1.5 text-xs text-slate-200 focus:ring-1 focus:ring-emerald-500">
        </div>
        <div class="space-y-1">
          <label class="text-xs font-medium text-slate-400">Slippage + Fee (bps)</label>
          <input type="number" id="feeBps" value="5" min="0" max="50" step="1" class="w-full bg-slate-950 border border-slate-700 rounded-lg px-2.5 py-1.5 text-xs text-slate-200 focus:ring-1 focus:ring-emerald-500" title="5 basis points = 0.05% per trade">
        </div>
        <div class="space-y-1">
          <label class="text-xs font-medium text-slate-400">Stop-Loss (%)</label>
          <input type="number" id="stopLoss" value="5.0" min="0" max="25" step="0.5" class="w-full bg-slate-950 border border-slate-700 rounded-lg px-2.5 py-1.5 text-xs text-slate-200 focus:ring-1 focus:ring-emerald-500" title="0 to disable stop-loss">
        </div>
      </div>

      <!-- Execute Button -->
      <button id="runBacktestBtn" class="w-full py-2.5 px-4 rounded-xl bg-gradient-to-r from-emerald-600 hover:from-emerald-500 to-cyan-500 hover:to-cyan-400 text-white font-semibold text-xs uppercase tracking-wider shadow-lg shadow-emerald-500/20 transition active:scale-[0.99] flex items-center justify-center gap-2">
        <svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13 10V3L4 14h7v7l9-11h-7z"></path></svg>
        Execute Algorithmic Backtest
      </button>

      <!-- Strategy Logic Summary Card -->
      <div class="mt-auto p-3.5 rounded-xl bg-slate-950/80 border border-slate-800 text-[11px] text-slate-400 space-y-1.5">
        <p class="font-semibold text-slate-300 flex items-center gap-1.5">
          <span class="w-1.5 h-1.5 rounded-full bg-emerald-400"></span>
          Strategy Description
        </p>
        <p id="strategyDesc" class="text-slate-400 leading-relaxed text-[11px]"></p>
      </div>
    </div>

    <!-- Right Analytics & Visualizations Panel (8 Columns) -->
    <div class="lg:col-span-8 flex flex-col space-y-5">

      <!-- Institutional Performance KPI Cards -->
      <div class="grid grid-cols-2 sm:grid-cols-3 lg:grid-cols-6 gap-3">
        <div class="bg-slate-900/70 border border-slate-800 rounded-xl p-3 shadow-md">
          <p class="text-[10px] text-slate-400 uppercase tracking-wider">Strategy Return</p>
          <p id="kpiStratRet" class="text-base font-bold font-mono text-emerald-400 mt-0.5">+0.0%</p>
          <span id="kpiFinalCapital" class="text-[10px] text-slate-500 font-mono">$100,000</span>
        </div>
        <div class="bg-slate-900/70 border border-slate-800 rounded-xl p-3 shadow-md">
          <p class="text-[10px] text-slate-400 uppercase tracking-wider">Benchmark Return</p>
          <p id="kpiBenchRet" class="text-base font-bold font-mono text-slate-300 mt-0.5">+0.0%</p>
          <span class="text-[10px] text-slate-500 font-mono">Buy & Hold</span>
        </div>
        <div class="bg-slate-900/70 border border-slate-800 rounded-xl p-3 shadow-md">
          <p class="text-[10px] text-slate-400 uppercase tracking-wider">Sharpe Ratio</p>
          <p id="kpiSharpe" class="text-base font-bold font-mono text-cyan-400 mt-0.5">0.00</p>
          <span id="kpiSortino" class="text-[10px] text-slate-400 font-mono">Sortino: 0.00</span>
        </div>
        <div class="bg-slate-900/70 border border-slate-800 rounded-xl p-3 shadow-md">
          <p class="text-[10px] text-slate-400 uppercase tracking-wider">Max Drawdown</p>
          <p id="kpiMDD" class="text-base font-bold font-mono text-rose-400 mt-0.5">0.0%</p>
          <span id="kpiBenchMDD" class="text-[10px] text-slate-500 font-mono">Bench: 0.0%</span>
        </div>
        <div class="bg-slate-900/70 border border-slate-800 rounded-xl p-3 shadow-md">
          <p class="text-[10px] text-slate-400 uppercase tracking-wider">Win Rate</p>
          <p id="kpiWinRate" class="text-base font-bold font-mono text-amber-400 mt-0.5">0.0%</p>
          <span id="kpiTradesCount" class="text-[10px] text-slate-500 font-mono">0 trades</span>
        </div>
        <div class="bg-slate-900/70 border border-slate-800 rounded-xl p-3 shadow-md">
          <p class="text-[10px] text-slate-400 uppercase tracking-wider">Profit Factor</p>
          <p id="kpiProfitFactor" class="text-base font-bold font-mono text-indigo-400 mt-0.5">0.00</p>
          <span id="kpiAlpha" class="text-[10px] text-emerald-400 font-mono">Alpha: +0.0%</span>
        </div>
      </div>

      <!-- Main Visualizer Tabs -->
      <div class="bg-slate-900/70 border border-slate-800 rounded-2xl p-4 shadow-xl flex flex-col space-y-4">
        <div class="flex items-center justify-between border-b border-slate-800 pb-3 px-1">
          <div class="flex items-center space-x-2">
            <button id="tabBtnEquity" class="px-3.5 py-1.5 rounded-lg bg-emerald-500/20 text-emerald-300 border border-emerald-500/30 text-xs font-semibold transition">
              📈 Cumulative Equity & Drawdown
            </button>
            <button id="tabBtnPrice" class="px-3.5 py-1.5 rounded-lg bg-slate-800/80 text-slate-400 hover:text-slate-200 text-xs font-semibold transition">
              🎯 Asset Price & Trade Signals
            </button>
          </div>
          <div class="text-[11px] text-slate-500 font-mono hidden sm:block">
            Slippage: <span id="displayBps">5</span> bps included
          </div>
        </div>

        <!-- Charts Container -->
        <div id="chartEquityContainer" class="w-full">
          <div id="chartEquity" class="w-full h-[400px]"></div>
        </div>
        <div id="chartPriceContainer" class="w-full hidden">
          <div id="chartPrice" class="w-full h-[400px]"></div>
        </div>
      </div>

      <!-- Trade Log Details Table -->
      <div class="bg-slate-900/70 border border-slate-800 rounded-2xl p-4 shadow-xl">
        <div class="flex items-center justify-between mb-3 px-1">
          <div>
            <h3 class="text-xs font-semibold uppercase tracking-wider text-slate-300">Trade Execution Ledger</h3>
            <p class="text-[11px] text-slate-500">Chronological transaction logs with individual PnL, exit reasons, and durations</p>
          </div>
          <span id="ledgerBadge" class="text-[11px] font-mono px-2 py-0.5 rounded bg-slate-800 text-slate-400 border border-slate-700">0 Trades</span>
        </div>

        <div class="overflow-x-auto max-h-[220px] rounded-xl border border-slate-800">
          <table class="w-full text-left text-xs font-mono">
            <thead class="bg-slate-950 text-slate-400 uppercase text-[10px] sticky top-0 border-b border-slate-800">
              <tr>
                <th class="py-2 px-3">#</th>
                <th class="py-2 px-3">Entry Date</th>
                <th class="py-2 px-3">Exit Date</th>
                <th class="py-2 px-3">Type</th>
                <th class="py-2 px-3">Entry $</th>
                <th class="py-2 px-3">Exit $</th>
                <th class="py-2 px-3">Return %</th>
                <th class="py-2 px-3">Net PnL ($)</th>
                <th class="py-2 px-3">Duration</th>
                <th class="py-2 px-3">Exit Trigger</th>
              </tr>
            </thead>
            <tbody id="tradeLogBody" class="divide-y divide-slate-800/60 bg-slate-900/40 text-[11px]">
              <!-- Populated via JS -->
            </tbody>
          </table>
        </div>
      </div>

    </div>
  </main>

  <!-- Footer -->
  <footer class="border-t border-slate-800/80 bg-slate-900/40 py-4 mt-auto text-center text-xs text-slate-500">
    <p>Developed by <a href="https://huggingface.co/At1uri" target="_blank" class="text-emerald-400 hover:underline font-medium">Ramprasad Atluri</a> • Part of the Twice-Weekly Product Release Sprint • MIT License</p>
  </footer>

  <script>
    // --- Data Generation Engine ---
    function generateMarketData(regime, nDays) {
      const dates = [];
      const prices = [];
      const today = new Date();
      today.setDate(today.getDate() - nDays);

      let p = 100.0;
      let mu = 0.10, sigma = 0.20;

      if (regime === 'bull') {
        mu = 0.22; sigma = 0.18;
      } else if (regime === 'sideways') {
        mu = 0.02; sigma = 0.16;
      } else if (regime === 'bear') {
        mu = -0.15; sigma = 0.32;
      } else if (regime === 'crypto') {
        mu = 0.35; sigma = 0.65;
      }

      const dt = 1.0 / 252.0;

      // Seedable pseudo-random
      let seed = 42;
      function rnd() {
        seed = (seed * 16807) % 2147483647;
        const u1 = (seed - 1) / 2147483646;
        seed = (seed * 16807) % 2147483647;
        const u2 = (seed - 1) / 2147483646;
        return Math.sqrt(-2.0 * Math.log(u1 + 1e-10)) * Math.cos(2.0 * Math.PI * u2);
      }

      for (let i = 0; i < nDays; i++) {
        const d = new Date(today);
        d.setDate(d.getDate() + i);
        dates.push(d.toISOString().slice(0, 10));

        if (i === 0) {
          prices.push(p);
        } else {
          const z = rnd();
          let shock = (mu - 0.5 * sigma * sigma) * dt + sigma * Math.sqrt(dt) * z;
          if (regime === 'sideways') {
            const meanLvl = 100.0;
            const reversion = 0.15 * (meanLvl - p) * dt;
            p = Math.max(10.0, p + reversion + p * sigma * Math.sqrt(dt) * z);
          } else {
            p = Math.max(5.0, p * Math.exp(shock));
          }
          prices.push(p);
        }
      }
      return { dates, prices };
    }

    // --- Mathematical Indicators ---
    function calcEMA(data, period) {
      const k = 2 / (period + 1);
      const ema = [data[0]];
      for (let i = 1; i < data.length; i++) {
        ema.push(data[i] * k + ema[i - 1] * (1 - k));
      }
      return ema;
    }

    function calcSMA(data, period) {
      const sma = [];
      for (let i = 0; i < data.length; i++) {
        if (i < period - 1) {
          sma.push(null);
        } else {
          let sum = 0;
          for (let j = 0; j < period; j++) sum += data[i - j];
          sma.push(sum / period);
        }
      }
      return sma;
    }

    function calcRSI(data, period = 14) {
      const rsi = new Array(data.length).fill(null);
      let gains = 0, losses = 0;

      for (let i = 1; i <= period; i++) {
        const diff = data[i] - data[i - 1];
        if (diff >= 0) gains += diff;
        else losses -= diff;
      }

      let avgGain = gains / period;
      let avgLoss = losses / period;
      rsi[period] = 100 - (100 / (1 + (avgGain / (avgLoss || 1e-6))));

      for (let i = period + 1; i < data.length; i++) {
        const diff = data[i] - data[i - 1];
        const gain = diff >= 0 ? diff : 0;
        const loss = diff < 0 ? -diff : 0;
        avgGain = (avgGain * (period - 1) + gain) / period;
        avgLoss = (avgLoss * (period - 1) + loss) / period;
        const rs = avgGain / (avgLoss || 1e-6);
        rsi[i] = 100 - (100 / (1 + rs));
      }
      return rsi;
    }

    function calcBollingerBands(data, period = 20, numStd = 2.0) {
      const sma = calcSMA(data, period);
      const upper = [];
      const lower = [];

      for (let i = 0; i < data.length; i++) {
        if (sma[i] === null) {
          upper.push(null);
          lower.push(null);
        } else {
          let sumSq = 0;
          for (let j = 0; j < period; j++) {
            sumSq += Math.pow(data[i - j] - sma[i], 2);
          }
          const std = Math.sqrt(sumSq / period);
          upper.push(sma[i] + numStd * std);
          lower.push(sma[i] - numStd * std);
        }
      }
      return { sma, upper, lower };
    }

    // --- Dynamic Parameters UI Manager ---
    function renderStrategyParams() {
      const type = document.getElementById('strategyType').value;
      const container = document.getElementById('strategyParams');
      const descEl = document.getElementById('strategyDesc');

      if (type === 'ma_cross') {
        container.innerHTML = `
          <div class="grid grid-cols-2 gap-3">
            <div>
              <label class="text-[11px] text-slate-400 font-medium">Fast EMA Window</label>
              <input type="number" id="paramFast" value="12" min="3" max="50" class="w-full bg-slate-900 border border-slate-700 rounded-lg px-2.5 py-1 text-xs text-slate-200 mt-1">
            </div>
            <div>
              <label class="text-[11px] text-slate-400 font-medium">Slow EMA Window</label>
              <input type="number" id="paramSlow" value="26" min="10" max="200" class="w-full bg-slate-900 border border-slate-700 rounded-lg px-2.5 py-1 text-xs text-slate-200 mt-1">
            </div>
          </div>
        `;
        descEl.innerHTML = "Takes a <strong>Long</strong> position when the Fast EMA crosses above the Slow EMA (Golden Cross), and exits when the Fast EMA crosses below the Slow EMA (Death Cross).";
      } else if (type === 'rsi') {
        container.innerHTML = `
          <div class="grid grid-cols-3 gap-2">
            <div>
              <label class="text-[11px] text-slate-400 font-medium">Period</label>
              <input type="number" id="paramRsiPeriod" value="14" min="5" max="30" class="w-full bg-slate-900 border border-slate-700 rounded-lg px-2 py-1 text-xs text-slate-200 mt-1">
            </div>
            <div>
              <label class="text-[11px] text-slate-400 font-medium">Buy &lt; (Oversold)</label>
              <input type="number" id="paramRsiBuy" value="30" min="10" max="45" class="w-full bg-slate-900 border border-slate-700 rounded-lg px-2 py-1 text-xs text-slate-200 mt-1">
            </div>
            <div>
              <label class="text-[11px] text-slate-400 font-medium">Sell &gt; (Overbought)</label>
              <input type="number" id="paramRsiSell" value="70" min="55" max="90" class="w-full bg-slate-900 border border-slate-700 rounded-lg px-2 py-1 text-xs text-slate-200 mt-1">
            </div>
          </div>
        `;
        descEl.innerHTML = "Buys when RSI dips below the oversold threshold indicating undervalued momentum, and liquidates when RSI rises above the overbought threshold.";
      } else if (type === 'bollinger') {
        container.innerHTML = `
          <div class="grid grid-cols-2 gap-3">
            <div>
              <label class="text-[11px] text-slate-400 font-medium">Period Window</label>
              <input type="number" id="paramBbPeriod" value="20" min="5" max="50" class="w-full bg-slate-900 border border-slate-700 rounded-lg px-2.5 py-1 text-xs text-slate-200 mt-1">
            </div>
            <div>
              <label class="text-[11px] text-slate-400 font-medium">Std Dev Multiplier</label>
              <input type="number" id="paramBbStd" value="2.0" step="0.1" min="1.0" max="3.5" class="w-full bg-slate-900 border border-slate-700 rounded-lg px-2.5 py-1 text-xs text-slate-200 mt-1">
            </div>
          </div>
        `;
        descEl.innerHTML = "Mean-reversion strategy entering when the price pierces below the lower statistical band, taking profit when it touches or crosses the central moving average.";
      } else if (type === 'macd') {
        container.innerHTML = `
          <div class="grid grid-cols-3 gap-2">
            <div>
              <label class="text-[11px] text-slate-400 font-medium">Fast</label>
              <input type="number" id="paramMacdFast" value="12" min="5" max="25" class="w-full bg-slate-900 border border-slate-700 rounded-lg px-2 py-1 text-xs text-slate-200 mt-1">
            </div>
            <div>
              <label class="text-[11px] text-slate-400 font-medium">Slow</label>
              <input type="number" id="paramMacdSlow" value="26" min="15" max="50" class="w-full bg-slate-900 border border-slate-700 rounded-lg px-2 py-1 text-xs text-slate-200 mt-1">
            </div>
            <div>
              <label class="text-[11px] text-slate-400 font-medium">Signal</label>
              <input type="number" id="paramMacdSignal" value="9" min="3" max="20" class="w-full bg-slate-900 border border-slate-700 rounded-lg px-2 py-1 text-xs text-slate-200 mt-1">
            </div>
          </div>
        `;
        descEl.innerHTML = "Calculates the difference between Fast and Slow EMAs. Enters long when MACD crosses above the 9-day Signal EMA line, and exits on bearish crossover.";
      }
    }

    // --- Backtesting Simulator Engine ---
    function runBacktest() {
      const strategy = document.getElementById('strategyType').value;
      const regime = document.getElementById('marketRegime').value;
      const initialCapital = parseFloat(document.getElementById('initialCapital').value) || 100000;
      const nDays = parseInt(document.getElementById('historyDays').value) || 365;
      const feeBps = parseFloat(document.getElementById('feeBps').value) || 5;
      const stopLossPct = (parseFloat(document.getElementById('stopLoss').value) || 0) / 100.0;
      const feeRate = feeBps / 10000.0; // 5 bps = 0.0005

      document.getElementById('displayBps').textContent = feeBps;

      // 1. Generate Market
      const { dates, prices } = generateMarketData(regime, nDays);

      // 2. Precompute Indicator Signals
      const signals = new Array(prices.length).fill(0); // 1 = Buy Signal, -1 = Sell Signal
      let indicatorTraces = [];

      if (strategy === 'ma_cross') {
        const fastP = parseInt(document.getElementById('paramFast').value) || 12;
        const slowP = parseInt(document.getElementById('paramSlow').value) || 26;
        const fastEma = calcEMA(prices, fastP);
        const slowEma = calcEMA(prices, slowP);

        for (let i = 1; i < prices.length; i++) {
          if (fastEma[i - 1] <= slowEma[i - 1] && fastEma[i] > slowEma[i]) {
            signals[i] = 1;
          } else if (fastEma[i - 1] >= slowEma[i - 1] && fastEma[i] < slowEma[i]) {
            signals[i] = -1;
          }
        }
        indicatorTraces = [
          { x: dates, y: fastEma, name: `Fast EMA (${fastP})`, line: { color: '#38bdf8', width: 1.5 } },
          { x: dates, y: slowEma, name: `Slow EMA (${slowP})`, line: { color: '#a855f7', width: 1.5 } }
        ];
      } else if (strategy === 'rsi') {
        const period = parseInt(document.getElementById('paramRsiPeriod').value) || 14;
        const buyLvl = parseFloat(document.getElementById('paramRsiBuy').value) || 30;
        const sellLvl = parseFloat(document.getElementById('paramRsiSell').value) || 70;
        const rsi = calcRSI(prices, period);

        for (let i = 1; i < prices.length; i++) {
          if (rsi[i - 1] !== null) {
            if (rsi[i - 1] <= buyLvl && rsi[i] > buyLvl) signals[i] = 1;
            else if (rsi[i - 1] >= sellLvl && rsi[i] < sellLvl) signals[i] = -1;
          }
        }
      } else if (strategy === 'bollinger') {
        const period = parseInt(document.getElementById('paramBbPeriod').value) || 20;
        const std = parseFloat(document.getElementById('paramBbStd').value) || 2.0;
        const { sma, upper, lower } = calcBollingerBands(prices, period, std);

        for (let i = 1; i < prices.length; i++) {
          if (lower[i] !== null) {
            if (prices[i - 1] <= lower[i - 1] && prices[i] > lower[i]) signals[i] = 1;
            else if (prices[i] >= sma[i]) signals[i] = -1;
          }
        }
        indicatorTraces = [
          { x: dates, y: upper, name: `Upper Band (${std}σ)`, line: { color: 'rgba(56, 189, 248, 0.4)', dash: 'dot' } },
          { x: dates, y: sma, name: `SMA (${period})`, line: { color: '#94a3b8', width: 1.2 } },
          { x: dates, y: lower, name: `Lower Band (${std}σ)`, line: { color: 'rgba(56, 189, 248, 0.4)', dash: 'dot' } }
        ];
      } else if (strategy === 'macd') {
        const fastP = parseInt(document.getElementById('paramMacdFast').value) || 12;
        const slowP = parseInt(document.getElementById('paramMacdSlow').value) || 26;
        const sigP = parseInt(document.getElementById('paramMacdSignal').value) || 9;
        const fastEma = calcEMA(prices, fastP);
        const slowEma = calcEMA(prices, slowP);
        const macdLine = fastEma.map((f, idx) => f - slowEma[idx]);
        const signalLine = calcEMA(macdLine, sigP);

        for (let i = 1; i < prices.length; i++) {
          if (macdLine[i - 1] <= signalLine[i - 1] && macdLine[i] > signalLine[i]) signals[i] = 1;
          else if (macdLine[i - 1] >= signalLine[i - 1] && macdLine[i] < signalLine[i]) signals[i] = -1;
        }
      }

      // 3. Execution Simulation Loop
      let cash = initialCapital;
      let shares = 0;
      let inPosition = false;
      let entryPrice = 0;
      let entryDate = '';
      let entryIdx = 0;

      const strategyEquity = [];
      const benchmarkEquity = [];
      const buySignals = [];
      const sellSignals = [];
      const trades = [];

      const initialBenchShares = (initialCapital * (1 - feeRate)) / prices[0];

      for (let i = 0; i < prices.length; i++) {
        const curPrice = prices[i];

        // Benchmark valuation
        benchmarkEquity.push(initialBenchShares * curPrice);

        // Check active position for Stop-Loss
        if (inPosition && stopLossPct > 0) {
          const drawdownFromEntry = (entryPrice - curPrice) / entryPrice;
          if (drawdownFromEntry >= stopLossPct) {
            // Stop-Loss triggered!
            const proceeds = shares * curPrice * (1 - feeRate);
            const netPnL = proceeds - (shares * entryPrice * (1 + feeRate));
            const retPct = (curPrice - entryPrice) / entryPrice * 100;
            cash = proceeds;
            trades.push({
              id: trades.length + 1,
              entryDate,
              exitDate: dates[i],
              type: 'LONG',
              entryPrice,
              exitPrice: curPrice,
              retPct,
              netPnL,
              duration: i - entryIdx,
              trigger: 'Stop-Loss ⚠️'
            });
            sellSignals.push({ x: dates[i], y: curPrice });
            shares = 0;
            inPosition = false;
          }
        }

        // Process Strategy Signals
        if (!inPosition && signals[i] === 1) {
          // BUY
          shares = (cash * (1 - feeRate)) / curPrice;
          cash = 0;
          inPosition = true;
          entryPrice = curPrice;
          entryDate = dates[i];
          entryIdx = i;
          buySignals.push({ x: dates[i], y: curPrice });
        } else if (inPosition && signals[i] === -1) {
          // SELL / Take-Profit
          const proceeds = shares * curPrice * (1 - feeRate);
          const netPnL = proceeds - (shares * entryPrice * (1 + feeRate));
          const retPct = (curPrice - entryPrice) / entryPrice * 100;
          cash = proceeds;
          trades.push({
            id: trades.length + 1,
            entryDate,
            exitDate: dates[i],
            type: 'LONG',
            entryPrice,
            exitPrice: curPrice,
            retPct,
            netPnL,
            duration: i - entryIdx,
            trigger: 'Signal Exit 🎯'
          });
          sellSignals.push({ x: dates[i], y: curPrice });
          shares = 0;
          inPosition = false;
        }

        const currentPortVal = cash + (shares * curPrice);
        strategyEquity.push(currentPortVal);
      }

      // Close open trade at end for fair accounting
      if (inPosition) {
        const lastPrice = prices[prices.length - 1];
        const proceeds = shares * lastPrice * (1 - feeRate);
        const netPnL = proceeds - (shares * entryPrice * (1 + feeRate));
        const retPct = (lastPrice - entryPrice) / entryPrice * 100;
        trades.push({
          id: trades.length + 1,
          entryDate,
          exitDate: dates[dates.length - 1],
          type: 'LONG',
          entryPrice,
          exitPrice: lastPrice,
          retPct,
          netPnL,
          duration: prices.length - 1 - entryIdx,
          trigger: 'End of Data'
        });
      }

      // 4. Compute Metrics
      const stratFinal = strategyEquity[strategyEquity.length - 1];
      const benchFinal = benchmarkEquity[benchmarkEquity.length - 1];
      const stratTotalRet = ((stratFinal - initialCapital) / initialCapital) * 100;
      const benchTotalRet = ((benchFinal - initialCapital) / initialCapital) * 100;

      // Returns & Volatility
      const stratReturns = [];
      const benchReturns = [];
      for (let i = 1; i < strategyEquity.length; i++) {
        stratReturns.push((strategyEquity[i] - strategyEquity[i - 1]) / strategyEquity[i - 1]);
        benchReturns.push((benchmarkEquity[i] - benchmarkEquity[i - 1]) / benchmarkEquity[i - 1]);
      }

      const rfDaily = 0.04 / 252.0;
      const avgStratRet = stratReturns.reduce((a, b) => a + b, 0) / stratReturns.length;
      const stratStd = Math.sqrt(stratReturns.reduce((s, r) => s + Math.pow(r - avgStratRet, 2), 0) / (stratReturns.length - 1));
      const annStratVol = stratStd * Math.sqrt(252);
      const sharpe = stratStd > 0 ? ((avgStratRet - rfDaily) / stratStd) * Math.sqrt(252) : 0;

      // Downside deviation for Sortino
      const downsideDiffs = stratReturns.filter(r => r < rfDaily).map(r => Math.pow(r - rfDaily, 2));
      const downsideDev = Math.sqrt(downsideDiffs.reduce((a, b) => a + b, 0) / (stratReturns.length || 1));
      const sortino = downsideDev > 0 ? ((avgStratRet - rfDaily) / downsideDev) * Math.sqrt(252) : 0;

      // Max Drawdown Strategy & Benchmark
      let peak = strategyEquity[0];
      let maxDD = 0;
      const underwaterStrategy = [];

      for (const val of strategyEquity) {
        if (val > peak) peak = val;
        const dd = (val - peak) / peak;
        if (dd < maxDD) maxDD = dd;
        underwaterStrategy.push(dd * 100);
      }

      let bPeak = benchmarkEquity[0];
      let bMaxDD = 0;
      for (const val of benchmarkEquity) {
        if (val > bPeak) bPeak = val;
        const dd = (val - bPeak) / bPeak;
        if (dd < bMaxDD) bMaxDD = dd;
      }

      // Trades statistics
      const winTrades = trades.filter(t => t.netPnL > 0);
      const lossTrades = trades.filter(t => t.netPnL <= 0);
      const winRate = trades.length > 0 ? (winTrades.length / trades.length) * 100 : 0;
      const grossProfit = winTrades.reduce((sum, t) => sum + t.netPnL, 0);
      const grossLoss = Math.abs(lossTrades.reduce((sum, t) => sum + t.netPnL, 0));
      const profitFactor = grossLoss > 0 ? grossProfit / grossLoss : (grossProfit > 0 ? 99.9 : 0);

      // Update KPI DOM
      const stratRetEl = document.getElementById('kpiStratRet');
      stratRetEl.textContent = (stratTotalRet >= 0 ? '+' : '') + stratTotalRet.toFixed(1) + '%';
      stratRetEl.className = `text-base font-bold font-mono mt-0.5 ${stratTotalRet >= 0 ? 'text-emerald-400' : 'text-rose-400'}`;
      document.getElementById('kpiFinalCapital').textContent = `$${Math.round(stratFinal).toLocaleString()}`;

      const benchRetEl = document.getElementById('kpiBenchRet');
      benchRetEl.textContent = (benchTotalRet >= 0 ? '+' : '') + benchTotalRet.toFixed(1) + '%';
      benchRetEl.className = `text-base font-bold font-mono mt-0.5 ${benchTotalRet >= 0 ? 'text-slate-300' : 'text-rose-400/80'}`;

      document.getElementById('kpiSharpe').textContent = sharpe.toFixed(2);
      document.getElementById('kpiSortino').textContent = `Sortino: ${sortino.toFixed(2)}`;

      document.getElementById('kpiMDD').textContent = (maxDD * 100).toFixed(1) + '%';
      document.getElementById('kpiBenchMDD').textContent = `Bench: ${(bMaxDD * 100).toFixed(1)}%`;

      document.getElementById('kpiWinRate').textContent = winRate.toFixed(1) + '%';
      document.getElementById('kpiTradesCount').textContent = `${trades.length} trades (${winTrades.length}W / ${lossTrades.length}L)`;

      document.getElementById('kpiProfitFactor').textContent = profitFactor.toFixed(2);
      const alphaVal = stratTotalRet - benchTotalRet;
      const alphaEl = document.getElementById('kpiAlpha');
      alphaEl.textContent = `Alpha: ${(alphaVal >= 0 ? '+' : '') + alphaVal.toFixed(1)}%`;
      alphaEl.className = `text-[10px] font-mono ${alphaVal >= 0 ? 'text-emerald-400' : 'text-rose-400'}`;

      // Update Trade Log Table
      document.getElementById('ledgerBadge').textContent = `${trades.length} Executed Trades`;
      const tbody = document.getElementById('tradeLogBody');
      tbody.innerHTML = '';

      if (trades.length === 0) {
        tbody.innerHTML = `<tr><td colspan="10" class="py-4 text-center text-slate-500">No trades triggered with current parameters. Adjust rules or lookback.</td></tr>`;
      } else {
        trades.slice().reverse().forEach(t => {
          const row = document.createElement('tr');
          row.className = "hover:bg-slate-800/40 transition";
          const pnlColor = t.netPnL >= 0 ? 'text-emerald-400' : 'text-rose-400';
          row.innerHTML = `
            <td class="py-2 px-3 text-slate-500">#${t.id}</td>
            <td class="py-2 px-3 text-slate-300">${t.entryDate}</td>
            <td class="py-2 px-3 text-slate-300">${t.exitDate}</td>
            <td class="py-2 px-3"><span class="px-1.5 py-0.5 rounded bg-emerald-500/10 text-emerald-400 text-[10px]">${t.type}</span></td>
            <td class="py-2 px-3 text-slate-400">$${t.entryPrice.toFixed(2)}</td>
            <td class="py-2 px-3 text-slate-400">$${t.exitPrice.toFixed(2)}</td>
            <td class="py-2 px-3 ${pnlColor} font-semibold">${(t.retPct >= 0 ? '+' : '') + t.retPct.toFixed(2)}%</td>
            <td class="py-2 px-3 ${pnlColor} font-semibold">${t.netPnL >= 0 ? '+$' : '-$'}${Math.abs(t.netPnL).toFixed(2)}</td>
            <td class="py-2 px-3 text-slate-400">${t.duration}d</td>
            <td class="py-2 px-3 text-[10px] text-slate-400">${t.trigger}</td>
          `;
          tbody.appendChild(row);
        });
      }

      // 5. Render Plotly Charts
      const plotLayout = {
        paper_bgcolor: 'rgba(0,0,0,0)',
        plot_bgcolor: 'rgba(15, 23, 42, 0.6)',
        font: { family: 'Inter', color: '#94a3b8', size: 11 },
        margin: { l: 50, r: 25, t: 30, b: 35 },
        xaxis: { gridcolor: '#1e293b', zerolinecolor: '#334155' },
        yaxis: { gridcolor: '#1e293b', zerolinecolor: '#334155' },
        hovermode: 'x unified',
        legend: { orientation: 'h', x: 0, y: 1.12, font: { color: '#cbd5e1' } }
      };

      // Chart 1: Equity Curve & Drawdown Subplot
      const equityTraces = [
        {
          x: dates,
          y: strategyEquity,
          name: 'Strategy Portfolio ($)',
          type: 'scatter',
          mode: 'lines',
          line: { color: '#10b981', width: 2.2 }
        },
        {
          x: dates,
          y: benchmarkEquity,
          name: 'Buy & Hold Benchmark ($)',
          type: 'scatter',
          mode: 'lines',
          line: { color: '#64748b', width: 1.8, dash: 'dash' }
        }
      ];

      Plotly.newPlot('chartEquity', equityTraces, {
        ...plotLayout,
        title: { text: '<b>Cumulative Portfolio Equity Growth</b>', font: { size: 13, color: '#f8fafc' } },
        yaxis: { title: 'Equity ($)', gridcolor: '#1e293b' }
      }, { responsive: true, displayModeBar: false });

      // Chart 2: Price Action & Buy/Sell Markers
      const priceTraces = [
        {
          x: dates,
          y: prices,
          name: 'Asset Price ($)',
          type: 'scatter',
          mode: 'lines',
          line: { color: '#38bdf8', width: 1.8 }
        },
        ...indicatorTraces
      ];

      if (buySignals.length > 0) {
        priceTraces.push({
          x: buySignals.map(s => s.x),
          y: buySignals.map(s => s.y),
          mode: 'markers',
          name: 'BUY Entry',
          marker: { symbol: 'triangle-up', size: 10, color: '#22c55e', line: { width: 1, color: '#ffffff' } }
        });
      }

      if (sellSignals.length > 0) {
        priceTraces.push({
          x: sellSignals.map(s => s.x),
          y: sellSignals.map(s => s.y),
          mode: 'markers',
          name: 'SELL Exit',
          marker: { symbol: 'triangle-down', size: 10, color: '#ef4444', line: { width: 1, color: '#ffffff' } }
        });
      }

      Plotly.newPlot('chartPrice', priceTraces, {
        ...plotLayout,
        title: { text: '<b>Asset Trajectory & Quantitative Trade Entries</b>', font: { size: 13, color: '#f8fafc' } },
        yaxis: { title: 'Price ($)', gridcolor: '#1e293b' }
      }, { responsive: true, displayModeBar: false });
    }

    // --- Tab Switching Logic ---
    document.getElementById('tabBtnEquity').addEventListener('click', () => {
      document.getElementById('chartEquityContainer').classList.remove('hidden');
      document.getElementById('chartPriceContainer').classList.add('hidden');
      document.getElementById('tabBtnEquity').className = "px-3.5 py-1.5 rounded-lg bg-emerald-500/20 text-emerald-300 border border-emerald-500/30 text-xs font-semibold transition";
      document.getElementById('tabBtnPrice').className = "px-3.5 py-1.5 rounded-lg bg-slate-800/80 text-slate-400 hover:text-slate-200 text-xs font-semibold transition";
      Plotly.Plots.resize('chartEquity');
    });

    document.getElementById('tabBtnPrice').addEventListener('click', () => {
      document.getElementById('chartPriceContainer').classList.remove('hidden');
      document.getElementById('chartEquityContainer').classList.add('hidden');
      document.getElementById('tabBtnPrice').className = "px-3.5 py-1.5 rounded-lg bg-emerald-500/20 text-emerald-300 border border-emerald-500/30 text-xs font-semibold transition";
      document.getElementById('tabBtnEquity').className = "px-3.5 py-1.5 rounded-lg bg-slate-800/80 text-slate-400 hover:text-slate-200 text-xs font-semibold transition";
      Plotly.Plots.resize('chartPrice');
    });

    // Wire Strategy dropdown
    document.getElementById('strategyType').addEventListener('change', () => {
      renderStrategyParams();
      runBacktest();
    });

    // Wire Regime dropdown
    document.getElementById('marketRegime').addEventListener('change', runBacktest);

    // Wire Run Button
    document.getElementById('runBacktestBtn').addEventListener('click', runBacktest);

    // Initial setup
    renderStrategyParams();
    runBacktest();
  </script>
</body>
</html>