Charting Stocks and Forex in python Part 19 - How to add RSI to matplotlib graph

TL;DR

Learn how to plot Relative Strength Index in Python using matplotlib for financial analysis.

Transcript

alright guys welcome back this is the I don't know 19th video I think financial charting within Python and matplotlib what we did last time is actually define our RSI function not positive it's going to work just yet but I think it will and so now what we want to do is actually you know take this returned relative strength index and plot it so we'v... Read More

Key Insights

• 🤒 Defining RSI functions is crucial for financial charting in Python.
• 🤒 Plotting RSI data accurately enhances visualization for analysis.
• 💹 Adjusting colors, legends, and text enhances readability on financial charts.
• 🫥 Grid lines and range adjustments improve the interpretation of RSI values.
• 🦻 Consistent color schemes aid in understanding different data components on the chart.
• 🥺 Incremental improvements in chart design lead to clearer financial analysis.
• 🔨 Utilizing Python and matplotlib provides powerful tools for financial data visualization.

Questions & Answers

Q: What were the key steps in defining the RSI function?

The video covered defining the RSI function on closed prices or adjusted to closed, plotting the RSI data on the chart, and setting the range of RSI values from 0 to 100.

Q: How did the presenter improve the readability of the chart?

The presenter adjusted the color of the RSI line, made the legend transparent, and changed the text color of the moving averages to white for better visibility.

Q: What changes were made for better visualization of the RSI data?

The presenter adjusted the color of the RSI line to match the volume color, removed unnecessary ticks on the chart, added grid lines for 70 and 30, and drew a line across the RSI chart for clarity.

Q: What can viewers expect in the next video of the series?

In the upcoming video, the presenter plans to change the RSI color to match volume, remove extraneous ticks, add grid lines for 70 and 30, and draw a line across the RSI chart for improved readability.

Summary & Key Takeaways

• Tutorial on defining an RSI function and plotting it in Python using matplotlib.

• Demonstrates plotting RSI on a chart with necessary adjustments for clarity.

• Highlights steps to improve visualization and readability on the chart.