ANANDA, AHMAD GHENTA RIZKY (2026) ANALISA TRADING CRYPTOCURRENCY MENGGUNAKAN METODE GRID TRADING DENGAN ALGORITMA DECISION TREE. S1 thesis, Universitas Mercu Buana Jakarta.
|
Text (HAL COVER)
Cover.pdf Download (279kB) | Preview |
|
![[img]](https://repository.mercubuana.ac.id/style/images/fileicons/text.png) |
Text (BAB I)
BAB I.pdf Restricted to Registered users only Download (37kB) |
|
|
Text (BAB II)
BAB II.pdf Restricted to Registered users only Download (120kB) |
|
|
Text (BAB III)
BAB III.pdf Restricted to Registered users only Download (94kB) |
|
|
Text (BAB IV)
BAB IV.pdf Restricted to Registered users only Download (107kB) |
|
|
Text (BAB V)
BAB V.pdf Restricted to Registered users only Download (28kB) |
|
|
Text (DAFTAR PUSTAKA)
DAFTAR PUSTAKA.pdf Restricted to Registered users only Download (131kB) |
|
|
Text (LAMPIRAN)
Lampiran.pdf Restricted to Registered users only Download (222kB) |
Abstract
This study aims to analyze cryptocurrency trading strategies using the grid trading method with the Decision Tree Algorithm. Grid trading is a trading strategy that uses a grid network to automatically buy and sell cryptocurrency assets based on price changes. The Decision Tree Algorithm is used to predict cryptocurrency price movements and optimize grid parameters. This study uses historical Bitcoin (BTC) price data to test the performance of the Grid Trading strategy with the Decision Tree Algorithm. The results show that this strategy can generate significant profits with relatively low risk. The Decision Tree Algorithm can predict price movements with high accuracy, enabling traders to make more informed trading decisions. Key Word: Grid Trading, Algoritma Decission Tree, Cryptocurrency, Trading. Penelitian ini bertujuan untuk menganalisis strategi trading cryptocurrency menggunakan metode grid trading dengan Algoritma Decission Tree. Grid Trading adalah strategi trading yang menggunakan jaringan grid untuk membeli dan menjual asset cryptocurrency secara otomatis berdasarkan perubahan harga. Algoritma Decission Tree digunakan untuk memprediksi pergerakan harga cryptocurrency dan mengoptimalkan parameter grid. Penelitian ini menggunakan data historis harga Bitcoin (BTC) untuk menguji kinerja strategi Grid Trading dengan Algoritma Decission Tree hasil penelitian menunjukan bahwa strategi ini dapat menghasilkan keuntungan yang signifikan dengan risiko yang relatif rendah. Algoritma Decission Tree dapat memprediksi pergerakan harga dengan akurasi yang tinggi, sehingga memungkinkan trader untuk membuat keputusan trading yang lebih tepat. Kata kunci: Grid Trading, Algoritma Decission Tree, Cryptocurrency, Trading.
| Item Type: | Thesis (S1) |
|---|---|
| NIM/NIDN Creators: | 41520110018 |
| Uncontrolled Keywords: | Grid Trading, Algoritma Decission Tree, Cryptocurrency, Trading. |
| Subjects: | 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika 300 Social Science/Ilmu-ilmu Sosial > 330 Economics/Ilmu Ekonomi > 332 Financial Economics, Finance/Ekonomi Keuangan dan Finansial, Ekonomi Biaya dan Pembiayaan 500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik > 518.1 Algorithms/Algoritma |
| Divisions: | Fakultas Ilmu Komputer > Informatika |
| Depositing User: | khalimah |
| Date Deposited: | 05 Sep 2026 03:33 |
| Last Modified: | 05 Sep 2026 03:33 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/103653 |
Actions (login required)
 |
View Item |
