Boğa, RenginSezen, Efe Haşim2024-07-122024-07-122022Kır, T. ve İnce, D. (2022). Han trading bot. Boğa, R. ve Sezen, A. H. (Ed.). Maltepe Üniversitesi Mimarlık ve Tasarım Uluslararası Öğrenci Kongresi içinde (ss. 38). İstanbul: T.C. Maltepe Üniversitesi.978-605-2124-62-8https://www.maltepe.edu.tr/muisc2022/https://hdl.handle.net/20.500.12415/8879Algorithmic trading is a type of trading that use algorithms to follow a trend and define a set of instructions for executing a trade. The transaction has the ability to earn revenue at an inhumanely high pace and frequency. The program is given a set of defined trading guidelines that are based on timing, value, amount, or any mathematical model. Apart from providing lucrative trading opportunities, algo-trading makes the market more liquid and trading more exact by eliminating the impact of human emotions on trading. The major exchange platforms where we may trade, such as Binance, aim to blow up these bots on a regular basis (Whales eat little fish.) As a result, it appears the trading bots with huge volumes that use a simple strategy over a period of time will struggle to outperform these markets. We are determined to construct a lay low trading system for the crypto exchange markets in this project. To avoid blow-up system in Exchange platforms we won’t be handling huge volumes instead we’ll focus on low volumes with more trades to close the gap. We'll use previous data to train the system and try to outperform the market.eninfo:eu-repo/semantics/openAccessAlgorithmic tradingcrypto exchange marketsoutperformingConference Object3838