20.500.12556/DKUM-82633 Analiza uspešnosti lastnega programa za avtomatizirano trgovanje kriptovalut v primerjavi s konkurenčnim diplomsko delo Performance analysis of our own automated software for cryptocurrency trading compared to a competitor's V diplomskem delu smo predstavili kripto trg in njegove udeležence, predvsem kripto kite. Razvili smo programsko rešitev za avtomatizirano trgovanje kriptovalute bitcoin, ki se je na podlagi podatkov o transakcijah kripto kitov odločala, kdaj bo kriptovaluto bitcoin kupila oziroma prodala. Cilj programa je bil visoka donosnost in neodvisnost od nihanja cen kriptovalut. Rezultate simulacije trgovanja z resničnimi zgodovinskimi podatki kriptovalut iz leta 2022 smo primerjali z rezultati konkurenčnega programa. Dosegli smo vse zastavljene cilje in v primerjalni analizi obeh programov ugotovili, da je naša programska rešitev uspešnejša in ima na dolgi rok manjše naložbeno tveganje. In our thesis, we presented the crypto market and its participants, especially crypto whales. We developed automated cryptocurrency trading program that decided when to buy and sell bitcoin, based on the crypto whales transactions. The goal of the program was high profitability and independence from the crypto market's volatility. We compared the results of simulated trading with real historical data of the cryptocurrencies from 2022 with the competitors program. All the goals we set were achieved. The comparative analysis of the two programs showed that our trading program was more successful and had lower investment risk in the long run. Avtomatizirano trgovanje bitcoin kripto kiti Python Automated trading bitcoin crypto whales Python true true false [Al. Gojkošek] Slovenski jezik Angleški jezik Diplomsko delo/naloga 2022-08-28 21:42:11 2022-10-21 07:35:01 2022-11-25 03:09:29 0000-00-00 00:00:00 2022 0 Maribor 0 Maribor 1 spletni vir (1 datoteka PDF (VI, 32 f.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.7:336.745(043.2) 130767875 UN_Gojkosek_Alen_2022.pdf UN_Gojkosek_Alen_2022.pdf 1 D504B3A6137A691F62C37AAEA64042D7 0529c631dba3b6eeaf3d51094fa4f49e3ca05c956e23c1ff8a009a634fc0fbbe cb8534b3-27ce-11ed-ad72-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=161118 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0