Analysing live stocks 📈

Analysing live stock indexes using pandas and Matplotlib libraries in Python.

This is a Hack The Burgh VI submission for the Optiver Challenge.

The project was led and coded by me.

How I built it 👨‍💻

• Python (JupyterLab)
  • pandas
  • Matplotlib

Accomplishments that I am proud of 😁

1. Being able to play around data only 6 months after learning to code.
2. Meeting people with a similar mindset in the hackathon!
3. Making a calm and steady presentation in front of the judges (even though the project was not completed!).

What I learned 📚

• Reading .csv files.
• Displaying certain parts of DataFrames.
• Modifying the data (such as dropping NaNs).
• Plotting and combining graphs.
• Grouping by.
• Visualising correlation.
• Data is beautiful and fun to work with!

What is next? 🔜

• Plotting live graphs.
• Implementing an algorithm which analyse the data.
• Starting on Machine Learning.

References 📃

sentdex