Python for Finance: Introduction to Plotting and Charting for Trading Data

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In this tutorial, the host gives an introduction to plotting techniques in Python, specifically for financial and trading data. The video covers the basics of plotting with Python, introduces libraries like Matplotlib and Plotly, and their use in financial data visualization. The tutorial includes detailed explanations of the code used to plot simple and complex charts, interactive plots, create subplot scenarios and customize graphs with various parameters. The content is designed to help beginners and people interested in Python, AI, machine learning and reinforcement learning used in the financial trading world.

00:00 Introduction to QuantLab and Plotting
00:13 Getting Started with Python Plotting
02:36 Understanding the Basics of Matplotlib
05:28 Exploring Different Plotting Parameters
06:33 Creating Complex Plots with Multiple Data Points
08:23 Adding Subplots and Different Plot Types
10:57 Enhancing Plots with Grids and Color Intensity
13:40 Introduction to Plotly for Interactive Plots
15:55 Conclusion and Wrap-up

[omeryldrm]

Thanks for the quick and simple presentation. I will probably use this in future. 👏