MASHINANI O‘QITISH ASOSIDAGI SAVDO TIZIMLARINING RIVOJLANISHI VA TEXNIK ASOSLARI

• Azamjon Ayubjon o’g’li Aliyev

  Author

• Odina Ma'murjon qiz Mahammadjonova

  Author

Mashinani o‘qitish (MO) asosidagi savdo tizimlari moliya bozorlarida narx harakatlarini bashorat qilish, risklarni boshqarish va avtomatik savdo qarorlarini qabul qilish uchun keng qo‘llanilmoqda. Ushbu maqola MO asosidagi algoritmik savdo tizimlarining tarixiy rivojlanishini, texnik asoslarini (ma’lumotlar pipeline’i, modellar, baholash va ijro) hamda 2026-yildagi hozirgi holatini tahlil qiladi. Supervised, unsupervised va mustahkamlash o‘qitishi (Reinforcement Learning — RL) kabi usullar, chuqur o‘qitish (Deep Learning) modellarining qo‘llanilishi, shuningdek, bozorning 85–89% hajmini AI boshqarishi kabi trendlar ko‘rib chiqiladi. Maqola adabiyotlar sharhi, empirik misollar va kelajakdagi muammolarni (overfitting, regime shift, learning externality) o‘z ichiga oladi. Natijalar shuni ko‘rsatadiki, MO savdo samaradorligini oshirish bilan birga yangi tizimli risklarni keltirib chiqarmoqda.⁠

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