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Buy Stellar with green dot prepaid card Collecting & Analyzing Historic Data from Binance and Coinbase. In this section, you will learn how to collect and also utilize historical data from Binance and Coinbase. You will learn how to collect and save data in formats that can be used later. Also, you will utilize this data to inform the trading bot on your trading strategy. That is, when to buy, when to sell, the best coins to buy, etc. Since this section is a bit complex, we have attached a Coinbase tutorial that explains everything in detail below. Tracking Profit & Loss – Comparing to ‘Index’ You will be using all code published on github as ‘Portfolio Tracker’ which will be forked and modified for tracking crypto portfolio on Binance, Binance Chainlink trading bot, binance chainlink wallet. 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For example, one common form of cross validation is called k-fold validation, in which you split the data into k equal groups and one by one single out a group as the test group and use the rest of the data as the training group. However time series data is highly time dependent, meaning later data is highly dependent on previous data. So k-fold won’t work, because our agent will learn from future data before having to trade it, an unfair advantage. This same flaw applies to most other cross-validation strategies when applied to time series data. So we are left with simply taking a slice of the full data frame to use as the training set from the beginning of the frame up to some arbitrary index, and using the rest of the data as the test set. Next, since our environment is only set up to handle a single data frame, we will create two environments, one for the training data and one for the test data. 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