id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_d4oifelki5bajaka556kgxluoa	Iftikhar Ahmad	Using algorithmic trading to analyze short term profitability of Bitcoin	2021	19	.pdf	application/pdf	8288	1009	72	focus on the short term profitability of BTC against the euro and the yen for an eightyear period using seven trading algorithms over trading periods of length 15 and 30 days. is no work to evaluate the short term profitability of BTC using algorithmic trading moving average based algorithms and consider buy and hold as a benchmark strategy. Reservation price algorithms result in 7.5% and 10% of average returns over 15 and 30 formal description for El-Yaniv reservation price algorithm for generating buy and sell between the short and long term moving averages in order to generate buy and sell signals. average trading period returns, the number of buy/sell signals generated and the impact of average based strategies (VLMA, FLMA) with BH, we found that for BTC, the returns of for the returns of BTC on various algorithms for 15 and 30 days trading periods. For 30 days trading period, the returns of moving average based strategies	./cache/work_d4oifelki5bajaka556kgxluoa.pdf	./txt/work_d4oifelki5bajaka556kgxluoa.txt