Yeah, that's really interesting. Looks like 298 is a random hit. I would be careful relying on such values though, that looks like overfitting.
I did some parameter optimization as suggested by JCL, here are the results:
V 2.359 on Fri 21-04-23 09:51:54 (Zorro S Subscription)
Train: Workshop4 2012..2017
Assets AssetsIB
Parameter 1 step 1: 260.00 => 0.84 98/327
Parameter 1 step 2: 262.00 => 0.95 92/342
Parameter 1 step 3: 264.00 => 0.82 92/350
Parameter 1 step 4: 266.00 => 0.84 86/344
Parameter 1 step 5: 268.00 => 0.95 89/339
Parameter 1 step 6: 270.00 => 0.96 83/342
Parameter 1 step 7: 272.00 => 0.96 87/350
Parameter 1 step 8: 274.00 => 1.11 86/367
Parameter 1 step 9: 276.00 => 0.76 83/354
Parameter 1 step 10: 278.00 => 0.76 80/359
Parameter 1 step 11: 280.00 => 0.75 78/340
Parameter 1 step 12: 282.00 => 0.75 79/343
Parameter 1 step 13: 284.00 => 1.10 92/316
Parameter 1 step 14: 286.00 => 1.10 88/312
Parameter 1 step 15: 288.00 => 1.09 91/311
Parameter 1 step 16: 290.00 => 0.90 81/315
Parameter 1 step 17: 292.00 => 1.18 84/319
Parameter 1 step 18: 294.00 => 0.99 75/324
Parameter 1 step 19: 296.00 => 1.08 80/314
Parameter 1 step 20: 298.00 => 1.58 89/299
Parameter 1 step 21: 300.00 => 1.28 90/309
Parameter 1 step 22: 302.00 => 1.17 93/295
Parameter 1 step 23: 304.00 => 1.07 82/301
Parameter 1 step 24: 306.00 => 1.39 88/321
Parameter 1 step 25: 308.00 => 0.97 83/319
Parameter 1 step 26: 310.00 => 0.87 82/328
Parameter 1 step 27: 312.00 => 0.90 87/316
Parameter 1 step 28: 314.00 => 1.18 90/322
Parameter 1 step 29: 316.00 => 0.89 85/324
Parameter 1 step 30: 318.00 => 0.92 79/325
Parameter 1 step 31: 320.00 => 1.18 87/313
Parameter 1 step 32: 322.00 => 0.97 86/314
Parameter 1 step 33: 324.00 => 1.03 89/302
Parameter 1 step 34: 326.00 => 0.97 85/301
Parameter 1 step 35: 328.00 => 1.01 88/305
Parameter 1 step 36: 330.00 => 0.96 83/308
Parameter 1 step 37: 332.00 => 0.78 84/306
Parameter 1 step 38: 334.00 => 0.99 80/299
Parameter 1 step 39: 336.00 => 0.87 74/302
Parameter 1 step 40: 338.00 => 0.93 87/298
Parameter 1 step 41: 340.00 => 0.91 83/318
Selected p1[20] = 298 => 1.29
EUR/USD: 298=> 1.858
Seems like 298-306 produces the best results in backtest.
