Descriptions
Algorithmic Trading: Build a Momentum Strategy in Python, Stop guessing and start building. This course is a complete, hands-on guide for finance professionals, data analysts, and Python developers who want to professionally build and test an algorithmic trading strategy. We’re not just talking theory; you will build a complete, data-driven momentum strategy — one of the most robust and academically proven factors in finance — from the ground up. First you’ll learn how to validate a trading idea using data: test thousands of parameters to statistically prove the strategy has merit, visualize results in a professional heatmap, then gather ETF data from a broad, liquid universe, clean it, and generate core trading signals by ranking and selecting the top performers.
Finally, you’ll code a complete, realistic backtest that mimics how a real fund would trade, accounting for monthly rebalancing. You will go beyond simple returns by building a professional performance “tear sheet” to analyze risk, drawdowns, Sharpe and Sortino ratios, and market capture. You’ll walk away with a powerful, working momentum strategy and a reusable library of professional analysis functions to test any strategy idea — a practical, end-to-end blueprint for building with confidence and skill.
What you’ll learn
- Receive a complete, working momentum strategy and a professional library of reusable Python functions for performance analysis (worth the course price alone).
- Build a complete, end-to-end algorithmic trading strategy in Python that you can run and test yourself.
- Analyze your strategy’s true performance and risk using the same critical metrics (Sharpe, Sortino, Drawdowns) that professional quants rely on.
- Write a professional-grade backtesting engine from scratch to realistically simulate portfolio performance, avoiding common “rookie” mistakes.
- Go beyond theory: Statistically prove why a momentum strategy works with real-world data and learn how to test your own future ideas.
Who this course is for
- Aspiring algorithmic traders who want to learn how to build a complete, professional-grade backtest from scratch.
- Python Developers curious about applying their coding skills to the financial markets.
- Finance professionals, analysts, or students who want to move beyond Excel to build and test trading strategies in Python.
- Traders and investors who want to stop guessing and start scientifically testing their own strategy ideas with real data.
Specificatoin of Algorithmic Trading: Build a Momentum Strategy in Python
- Publisher : Udemy
- Teacher : Cordell Tanny, CFA, FRM, FDP
- Language : English
- Level : Intermediate
- Number of Course : 30
- Duration : 7 hours and 55 minutes
Content of Algorithmic Trading: Build a Momentum Strategy in Python
Requirements
- You should have a basic-to-intermediate understanding of Python and the pandas library. (You know what a DataFrame is and how to use it).
- A foundational knowledge of financial markets is required. (You know what stocks, ETFs, and market returns are).
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : Not Available
Quality: 720p
Download Links
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
3.16 GB
