Algoritmično trgovanje kriptovalut
diplomsko delo
Abstract
V nalogi smo predstavili trg kriptovalut, splošno teorijo trgovanja in tehnične analize. Opisali smo algoritmično trgovanje in pripadajoče strategije. Implementirali smo aplikacijo, ki omogoča avtomatizirano trgovanje in testiranje izbranih strategij na podlagi preteklih podatkov. Izbrali smo nekaj tehničnih indikatorjev, implementirali strategijo trgovanja in poskušali na podlagi izvedenih testov s pomočjo aplikacije ugotoviti, ali je mogoče biti dobičkonosen. Na koncu smo predstavili analizo rezultatov, pridobljenih s testiranjem.
Keywords
kriptovalute;algoritmično trgovanje;C#;tehnična analiza;diplomske naloge;
Data
| Language: | Slovenian |
|---|---|
| Year of publishing: | 2022 |
| Typology: | 2.11 - Undergraduate Thesis |
| Organization: | UM FERI - Faculty of Electrical Engineering and Computer Science |
| Publisher: | [J. Podkoritnik] |
| UDC: | 004.7:336.74(043.2) |
| COBISS: |
140211971
|
| Views: | 123 |
| Downloads: | 26 |
| Average score: | 0 (0 votes) |
| Metadata: |
|
Other data
| Secondary language: | English |
|---|---|
| Secondary title: | Algorithmic trading of cryptocurrencies |
| Secondary abstract: | In this thesis we introduce the cryptocurrency market, general trading theory and technical analysis. We have described algorithmic trading and related strategies. We implemented an application that allows automated trading and testing of selected strategies based on historical data. We selected some technical indicators, implemented a trading strategy and tried to determine whether it is possible to be profitable based on the tests carried out with the help of the application. Finally, we present an analysis of the results obtained from the tests. |
| Secondary keywords: | cryptocurrencies;algorithmic trading;C#;technical analysis; |
| Type (COBISS): | Bachelor thesis/paper |
| Thesis comment: | Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Informatika in tehnologije komuniciranja |
| Pages: | 1 spletni vir (1 datoteka PDF (X, 70 f.)) |
| ID: | 16432337 |
Recommended works:
Algoritmično trgovanje kriptovalut
2022,
diplomsko delo
Algoritmično trgovanje s strojnim učenjem na kriptovalutah
2022,
delo diplomskega seminarja
Avtomatizirano trgovanje kuponov za emisije ogljikovega dioksida
2020,
no subtitle data available
Trgovanje z valutami
2014,
diplomsko delo visokošolskega strokovnega študija Organizacija in management poslovnih in delovnih sistemov
Avtomatizirane trgovalne strategije na forex trgu
2014,
magistrsko delo