Description
Building an Investment Trading System in Python is a course on how to design, develop, and deploy automated trading systems using Python, published by Udemy Online Academy. Building an Investment Trading System in Python is a hands-on course that teaches people how to design, develop, and deploy automated trading systems using Python, covering both fundamental concepts and practical implementation. The course guides you through every step—from analyzing financial data, calculating Z-scores, and adding a volatility hedge to running a simple backtest—using real historical market data.
The course guides people through setting up trading environments, retrieving and processing financial data, and applying quantitative analysis techniques to make informed trading decisions. People explore algorithmic trading strategies, risk management, backtesting, and performance evaluation to ensure robust system design. Practical lessons include integrating APIs for market data, executing trades programmatically, and managing data streams in real time. Emphasis is placed on writing efficient, modular, and scalable Python code while understanding trading principles, financial instruments, and market mechanics. By the end, individuals will gain the skills necessary to build, test, and deploy fully functional trading systems suitable for real-world investment applications.
What you will learn in Building an Investment Trading System in Python:
- Build a Python-based trading system using real historical market data.
- Learn a simple trading strategy that has historically produced profitable results.
- Analyze investment performance through compounding returns and data visualization.
- Use Python and data science techniques to easily create and test trading strategies.
- Learn techniques from a 25-year veteran investor who managed a $2 billion CAD mutual fund program.
- Gain confidence in building and testing simple trading strategies independently.
- And…
Course specifications
Publisher: Udemy
Instructors: Cordell Tanny, CFA, FRM, FDP
Language: English
Level: Intermediate
Number of Lessons: 26
Duration: 5 hours and 38 minutes
Course topics
Building an Investment Trading System in Python Prerequisites
Basic familiarity with Python (understanding variables, loops, and functions).
General knowledge of investing concepts (stocks, ETFs, returns).
A computer with internet access to run Google Colab (free, no installations required)
Curiosity and willingness to learn practical trading strategies!
Pictures
Building an Investment Trading System in Python introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: English
Quality: 720p
! English subtitles added separately.
Download link
Downloadly
Rapidgator
File password (s): www.downloadly.ir
Size
2.1 GB
