January 2020
Beginner to intermediate
432 pages
11h 24m
English
Content preview from Python for Finance Cookbook
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Building an interactive dashboard for TA
In this recipe, we show how to build an interactive dashboard for technical analysis in Jupyter Notebook. Of course, the same result could be achieved without any interactivity, by writing the initial code, and then changing the parameter values inline multiple times. However, we believe it is much better to create an interactive tool that can ease the pain, as well as reduce the number of potential mistakes.
In order to do so, we leverage a tool called IPython widgets (ipywidgets), in combination with plotly and cufflinks. We select a few US tech stocks and three indicators (Bollinger Bands, MACD, and RSI) for the dashboard, but this selection can be extended to many more.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.