Algorithmic Trading Made Easy with MongoDB Time Series (MongoDB World 2022)

Algorithmic trading accounts for 60-70% of US equity trading, with similar numbers in EMEA and APAC. We can expect these numbers to increase as trading strategies become more refined and trading volumes grow. As a result, analysts need to develop, implement, and test their algorithms faster.

MongoDB Time Series makes it much easier to work with financial data. In this session, you’ll learn how to build a simple trading algorithm using two moving averages. When the first one begins to trend greater than the second one, we BUY and when the opposite happens, we SELL. We run the simulator and calculate profit and loss. We adjust both values to show how that affects P&L.

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