Stock Portfolio Optimization with Python
Designing Data-Driven Investment Strategies with Python for Dynamic Risk Modelling and Portfolio Construction.
A practical, hands-on introduction to using Python for stock portfolio construction, leveraging real-time financial data, data-driven analysis, and a deep dive into various portfolio optimization models in Python.
For an extra $5, you can upgrade your participation to the Workshop + Practicum tier (optional). Here's the offer:
- $9 workshop admission included
- $98 worth of Sectors API subscription included
- $39 worth of Supertype Fellowship+ included (peer-to-peer learning group, mentorship, post-workshop implementation support)
After the workshop, all Practicum members are invited to join the Supertype Fellowship, where you can continue to refine your portfolio optimization models, access real-time market data, and collaborate with other members in the community using the free API credits provided to you.
Whether you are a hobbyist programmer, interested in stock market analysis, or looking to deepen your understanding of financial analysis, this workshop is designed for you.
Follow along the last 1 hour of the workshop as a Workshop + Practicum member to earn a certificate of completion.
We issue this certificate of completion as proof of demonstrable proficiency, and the difficulty level is suited for beginner / junior programmers. You will be asked to submit your work via a Github upload, at which point a mentor will assess and award a certificate as acknowledgement of your competency.
Cost per Admission
- Code-along Admission: IDR150,000 or $9
- [Optional] Extra $5 for $146 worth of support and services
How
Online Video-Conferencing (Zoom)
When
6pm to 9pm (GMT+7 / Jakarta)
7pm to 10pm (GMT+8 / Singapore, Malaysia)
1pm to 4pm (GMT+1 / Lisbon, London)
21 November, 2024
Your Instructor,
Rian Yan
Syllabus
Introduction to Portfolio Optimization
Understand the basics of stock investing and the role of portfolio optimization in managing risk and returns.
Working with Financial APIs
Learn how to extract and prepare stock data using Sectors Financial API for analysis.
Portfolio Diversification Models
How to build a diversified portfolio that maximizes returns and minimizes risks, using live financial data from Sectors API in Python
Sharpe Ratio & Efficient Frontiers
How to calculate the Sharpe Ratio and use it to rate your portfolio, and how to build the Efficient Frontier model to optimize your portfolio
Portfolio Allocation & Scipy Optimization
How to use Scipy's optimization functions to allocate your portfolio based on your risk tolerance and investment goals
Advanced Optimization Techniques
Use Python’s Scipy library for precise optimization and compare different modeling approaches.
Workshop Fee
One-time fee of $9 for workshop admission.
Add $5 for 3 months of Supertype Fellowship+ (retail US$39) and Supertype Sectors API (retail US$98) credits, an incredible value for those seeking for after-workshop coding support, mentorship, and peer-to-peer learning.
Workshop
For $9, get the full workshop experience and all coding materials.
- Full workshop admission
- All workshop materials, datasets, and custom scripts
Workshop + Practicum
For $14, get the full workshop experience, all coding materials, $137 worth of subscriptions and after-workshop support, hi-res video recording and certificate of completion
- Full workshop admission
- All workshop materials, datasets, and custom scripts
-
3 Months of Supertype Fellowship+ ($39) for peer-to-peer learning and mentorship included
https://fellowship.supertype.ai
-
3,000 credits of Sectors API ($98) for personal and commercial project included
https://sectors.app/pricing
- Video Recording (mp4, hi-resolution)
- Earn a certificate of completion by following the last hour of coding