Abstract
Qtrn is an open-source Data Science project. A cli tool to streamline financial markets data analysis :wrench:. The official cli tool for making financial markets analysis as fast as you are. It is built using Go. The complete source code is publicly available on GitHub under the Apache License 2.0, making it a useful reference for students building a Data Science mini project or final-year project.
1. Introduction
The official cli tool for making financial markets analysis as fast as you are.
Pronounced "quote-tron" as a throwback to those awesome financial terminals of the 80's. This project is intended as a living example of the capabilities of the [finance-go] library.
2. Objective
A cli tool to streamline financial markets data analysis :wrench:
This project demonstrates how Go can be applied to a real-world Data Science problem.
4. Technology Stack
5. System Requirements
General requirements for this technology stack — check the README for exact versions.
- Go 1.20 or later
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/piquette/qtrn.git
cd qtrnFull setup instructions are in the project README.
7. Future Enhancements
Suggested extensions you can add to make this your own project.
- Turn the analysis into an interactive dashboard
- Automate data refresh with a scheduled job
- Add a predictive model on top of the analysis
8. Viva / Review Questions
Common questions examiners ask for projects in this domain.
- What is the source of the dataset and how was missing data handled?
- Which exploratory analysis steps revealed the most useful insight?
- Why were these particular charts chosen to present the data?
- Which statistical or ML technique supports the conclusions?
- How could the analysis be automated or refreshed with new data?
9. Source Code & License
This project is developed by piquette and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.
Want to build this as your internship project?
Work on a Data Science project like this with mentor guidance, weekly reviews and an internship certificate from Training Trains, Erode — online or offline.
Apply for Data Science Internship