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How AlgoTara does it work?

The AlgoTara platform consists of a set of modules that make up the infrastructure of the system. In the following, we will explain these infrastructures and introduce them:

1- Data collection, preparation, validation module: At this stage, market data such as news, Twitter, reliable websites, etc. are collected based on the type of market, the type of transactions, and the duration of transactions, and are sent to the neural network department for preparation and validation, so that the data is categorized and provided to the data processing module. .

2- Data processing and analysis module : In this module, using artificial intelligence algorithms, machine learning and big data analysis, fundamental and technical analysis is done, and to create a suitable strategy and predict the future market, to prepare for those data, they are sent to another module.

3- Strategy design and risk and capital management module: In this module, based on the analysis and processing of data from the previous stage, based on risk and capital management set in the strategy system based on mathematical models, trend identification, genetic algorithms and other settings, a trading strategy is developed and implemented by the user. Also, based on strategies with specialized mathematics and statistics infrastructure, such as game theory, Markov analysis, quantum mathematics, as well as strategies based on the portfolio of trading baskets, etc., it makes the transactions quantitatively and adjustable to carry out transactions on the platform.

4- Trading module : In this module, based on the created strategy, first the background test is done based on the complete data of the past, if it is approved, it is referred to the market test section with fiat money, and if the user approves the strategy, it is ready to be executed for performing algorithmic transactions in the market. Obviously, after this process, all buying and selling processes will be done in real-time, automatically and around the clock.