TEKNIK INVESTASI OTOMATIS DENGAN ANALISIS TEKNIS UNTUK MENGURANGI RISIKO KERUGIAN INVESTOR DI PASAR MODAL
Moehammad Noor At Tharikh(1*), Fairuuz Nurdiaz Amaanullah(2)
(1) Institut Teknologi Sepuluh Nopember
(2) Institut Teknlogi Sepuluh Nopember
(*) Corresponding Author
Abstract
Banyaknya investor atau trader pasar modal Indonesia yang didominasi oleh golongan millenials ini mengalami kerugian cukup besar di pasar modal akibat kurangnya edukasi, hanya ikut-ikutan influencer di pasar modal dan memiliki sifat fear-and-greed (ingin kaya secara instan). Parahnya lagi, modal investasi yang mereka gunakan di dalam pasar modal bukan berasal dari dana sisihan untuk investasi melainkan dana dari pinjaman atau kebutuhan hidup yang digunakan untuk berspekulasi di pasar modal, apalagi banyak dari mereka mempercayakan dana investasi mereka dengan bantuan tools (konsultan berupa robot pasar modal) seperti Autochartist dan Expert Advisors (EA) yang kurang tervalidasi baik di pasar modal dengan harapan mendapatkan return atau profit yang sangat besar. Akan tetapi, sebaliknya mereka malah mengalami kerugian yang sangat besar dan masif. Sehingga, sebagian dari mereka telah berhenti menjadi investor pasar modal karena mengalami kerugian cukup besar serta kehabisan dana (bankrut/gagal). SMART-AI INVESTOR hadir untuk menyelesaikan permasalahan tersebut. SMART-AI INVESTOR, adalah software (perangkat lunak) khusus untuk media komputer (PC) atau laptop yang nantinya digunakan pada aplikasi pasar modal (MetaTrader) sebagai konsultan atau penasihat berteknologi Artificial-Intelligence serta berbasis teknik investasi dan trading “Teori Terseret Arus” yang tervalidasi baik di pasar modal dengan pendekatan Matematika dan Statistika secara penuh. SMART-AI INVESTOR dapat membantu para pengguna yang menjadi investor atau trader untuk berinvestasi di dalam pasar modal (Investing-Trading Advisors) dengan terautomasi penuh, aman dan potensi hasil keuntungan yang diperoleh dapat tiga kali lipat lebih besar dibandingkan deposito yang hanya 8% per tahunnya, yaitu sebesar 24% per tahun.
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DOI: https://doi.org/10.22146/jmt.83206
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