Hi Srivatsan, welcome to Quantopian!
You would be surprised at how much individual creativity matters while writing financial algorithms. While it is certainly worthwhile to learn some financial terms, you will find that it isn't always profitable to make trading decisions purely on the traditional value metrics that you might learn at a university.
For example, I have attached a backtest that uses Morningstar's "Value Score" as an alpha factor. Value score is a nice mix of traditional value metrics that is published monthly. As you can see, it got crushed over the past 5 years!
I recommend looking around our forums for inspiration, and agree with Quant Trader that our lectures are a great place to learn as well. One of my personal favorite reads is Thomas Wiecki's machine learning post. Also, try poking around our listing of datasets to find some inspiration.
Also, if you haven't already, read through our tutorial page showing how to write algorithms that meet the contest's criteria.
Lastly, studying what others have done in the past can only take you so far. Try to get creative, find new relationships that no one else thought of, or even provide your own data! You already have what it takes to write good algorithms, you just have to spend some time looking for good alpha factors.
Hope this helps!
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