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Binance usdt It will then update the BUY/SELL state and the last price for an operation. Then it does it all over again. Step 5: Polishing the Bot. The basic architecture of our bot is ready, but there’s probably a few things we may still want to consider adding. When I first built a variation of this bot, one thing that was essential for me was having constant logging of the bot’s actions both to the terminal as well as to a separate log file. At every step, I would create logs like: The logs that went to the file would also get a timestamp added to them, so when I accessed the server after a whole day and found an error, for example, I could trace it back exactly to where it happened, as well as find out everything else the bot did along the way. This should be a matter of setting up a createLog function that is called at every step, Filbfilb Ethereum trading view, filbfilb ethereum trading binance view. 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Plugins & Adapters # Those two core components describe the majority of Gekko's flow. A lot "core functionality" like saving candles to disk are simply plugins that push all candles to a database. Separated architecture # The modular nature of Gekko makes it very dynamic and allows for rapidly creating new plugins. However there is an ugly side to this story: The tradingAdvisor runs TA strategies against a market. The problem however is that most TA indicators need some history before they can give accurate results. If you want to use an EMA (exponential moving average), you need some history to base the initial average on. But because the tradingAdvisor doesn't know what market data is going to be made available later by the market, it needs to do some fetching itself and compare that to locally available market data (stored in the local database) to see if it can stitch the two sources, Cryptocurrency Dogecoin exchange vs wallet, cryptocurrency dogecoin exchange data. 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