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- Application of Python in trading & investing
Application of Python in trading & investing
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For Under graduates
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- Options Trading Strategies in Python: Advanced
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For Under graduates
Application of Python in Trading & Investing
| Total Duration | Certification Validity | Course type |
|---|---|---|
| 16 Hours | No Expiry Date | Online Interactive |
For more information, please Contact:
Masheera: +91 7715905414
Sapna: +91 9819021578
Email id: gen_pdp@nse.co.in
The Application of Python in Trading & Investing program covers the practical uses of Python for analyzing data and stock market trading. Participants will learn Python installation, usage of code editors, and execution of Python commands. The course equips learners with essential skills to analyze financial data and develop trading strategies using Python.
The sessions will cover the following topics:
- Python Working Environment
- Jupyter Notebook
- Python history and features
- Installing Jupyter Notebook, creating a Python environment on Windows
- Python commands
- Programming Basics
- Keywords, syntax, variables
- Logical, comparison, and mathematical operators
- Conditional statements (if-else), string operations, arrays, loops, functions, and file I/O
- Data Collections
- Pandas data frames, dictionaries, arrays
- Main Data Analysis
- Importing/exporting financial data (file I/O)
- Exploratory data analysis
- Customized charts
- Libraries: NumPy, technical indicators
- News feed integration in Python
- Backtesting in Python
- Sample project
- Live online interactive classes by professional faculty
- Class recordings available for a limited period
- Access through mobile, desktop and laptop
- Certification from NSE Academy
This course is ideal for individuals with a basic understanding of stock market and investment principles, as well as fundamental knowledge of Technical Analysis. The program caters to all levels of Python proficiency, including beginners. The primary focus is on applying Python to both long-term and short-term investment strategies.
Updated on: 13/11/2024
