Open AccessAutomated Algorithmic Trading for Cryptocurrencies
Author(s) -
Sarafatema Peerzade,
Dnyaneshwari Wayal,
Gauri Kale
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-2194
Subject(s) - cryptocurrency , martingale (probability theory) , computer science , trading strategy , benchmark (surveying) , the internet , algorithmic trading , volume (thermodynamics) , asset (computer security) , econometrics , economics , financial economics , computer security , world wide web , mathematics , statistics , geography , physics , geodesy , quantum mechanics
The proposed project work is totally supported and easy yet effective strategy named as Martingale. An automatic system which only requires only some pre-coded instructions to execute trades on variety of market variables starting from asset price to trading volume. The strategy along with each cryptocurrency, the benchmark against which the algorithm is tested is that the market’s performance. Returns are compared with the buying and so multiplying the trade volume at each loss and different scenarios are analysed to work out the chance related to the buying compared with an algorithmic strategy. Results are going to be in love with the market’s actual trends and also with some alternate possible trends to check all market scenarios. An internet interface will accompany the presentation allowing the users to check the strategies by entering their parameters and instantly seeing the results