Financial markets are a tricky beast. Depending on what you’re investing in, they can be extremely volatile and difficult to navigate for ordinary human people like us. The highs can be high, the lows can be low, and it can be tricky to know the ideal times to buy and sell.
While there’s no such thing as a shortcut in life, there are certainly tools, techniques, and strategies to make stuff a lot easier — and financial trading is no exception.
In typical engineering, people program computers to do pre-set, specific functions. But with machine learning, people program computers to learn independently. And with an online course like this one, you’ll learn to apply that concept to quantitative trading.
The course includes 64 lectures and 11 hours of content that you can access any time of day, learning to use Python libraries to build sophisticated financial models that’ll result in more stable, profitable returns on the investments you make. You’ll learn about quantitative trading from stocks to momentum investing and backtesting. Plus, learn how to craft decision trees, ensemble learning, random forests, and more.
Break down technical concepts with hands-on practice — visit the Mashable Shop and pick up this online class for $9 — that’s further reduced from the original sale price of $15, and 90% off the original price.
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