{"id":6038,"date":"2021-02-13T08:00:35","date_gmt":"2021-02-13T02:30:35","guid":{"rendered":"https:\/\/www.upnxtblog.com\/?p=6038"},"modified":"2021-02-08T11:55:21","modified_gmt":"2021-02-08T06:25:21","slug":"how-to-create-a-fully-automated-ai-based-trading-system-with-python","status":"publish","type":"post","link":"https:\/\/www.upnxtblog.com\/index.php\/2021\/02\/13\/how-to-create-a-fully-automated-ai-based-trading-system-with-python\/","title":{"rendered":"How To Create A Fully Automated AI Based Trading System With Python"},"content":{"rendered":"
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The art of stock trading is not as easy as other people make it to be. For many who go into trading, it becomes a full-time job essentially. The time spent looking at various reports, updates, and news articles eventually takes up a good portion of one person’s day.<\/p>\n

All these are needed to be kept abreast of the current status of the stock market and to make predictions more accurate and informed. The allure of stock trading is also complemented by the public’s idea of stock traders. They are the young and the rich, the risk-takers who like to work hard and party even harder. Literary works like “The Wolf of Wall Street” only further supports this idea.<\/p>\n

And just like any other profession, burnout is a very real threat to those who partake in the activity. The stress of having invested your own or someone else’s money on something as volatile as the stock market is enough to keep one’s anxiety and stress level high. In looking for a reprieve, traders turn to distractions like gambling, partying, or even going on holidays on yachts with a spy camera with audio<\/a>.<\/p>\n

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But could they all afford to shut off their trading completely?<\/p>\n

Not entirely. In the past, employees and assistants were more than willing to step up to the plate and take control of the trading until such time that the boss returns. Today, we have the might of powerful and interconnected computers to do most of the work without any human intervention. Yes, the stock market is one of those industries that have benefited greatly from artificial intelligence and automation. The question now is can you create an automated system yourself?<\/p>\n

It is possible to automate a system that you can use for trading using Python<\/a>. To save time, I’ve enumerated the steps we need to do before elaborating on them one by one later in the article.<\/p>\n

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  1. Gather as much real-time and granular stock price data.<\/li>\n
  2. Instead of using a personal set of parameters, we’re going to be using AI and incorporating it into the system.<\/li>\n
  3. The next step would be to decide on whether to sell, hold, or buy. It is here that the broker comes in to act. You can use services like Alpaca or RobinHood.<\/li>\n
  4. The last thing we need to do is to implement the system somewhere and monitor its activities. You can program the system to send a notification every time the system acts to keep you updated.<\/li>\n<\/ol>\n

    Gathering the data<\/h2>\n

    Getting the needed data is not going to be easy. In the past years, there were data sources like Yahoo! Finance API and Google Finance but sadly both services have been discontinued. But there are still a few alternatives available in the market today. In choosing such services, here are a couple of features to keep in mind:<\/p>\n