Python For Finance and Algo Trading
6 modules
·6 lessons
Build Real-World Trading Bots Using Python
Your Instructor
Sunil Sala
Quant Developer and Mentor
Course Overview
This live program is designed for students, traders, finance professionals, and beginners who want to learn how Python is used in the world of finance, quantitative analysis, and algorithmic trading.
In this course, you will learn Python from the ground up and apply it directly to real-world financial market applications such as market data analysis, strategy building, backtesting, trading automation, and trading bot development.
The program focuses on practical implementation rather than only theory. Students will work on real finance and trading projects using industry-standard Python libraries and APIs.
What You Will Learn
- Python fundamentals for finance
- Data analysis using Pandas and NumPy
- Financial data visualization
- Working with APIs and live market data
- Strategy development for stocks, forex, crypto, and options
- Backtesting trading strategies
- Risk management and position sizing
- Trading bot development
- Quantitative and systematic trading concepts
- Automation of trading workflows
- Real-world finance projects
Who This Course Is For
- Beginners interested in finance and coding
- Traders who want to automate strategies
- Students exploring quantitative finance
- Working professionals entering algo trading
- Anyone interested in Python-based financial applications
Program Highlights
- Live interactive sessions
- Practical project-based learning
- Real-world trading and finance use cases
- Hands-on coding exercises
- Beginner-friendly approach
- Industry-relevant tools and workflows
By the end of this program, students will be able to build their own Python-based financial analysis tools, trading strategies, and automated trading systems confidently.
What you'll get out of this course
Learn how to use Python for financial analysis, algorithmic trading, data analysis, strategy development, backtesting, risk management, and trading automation using real-world finance projects and APIs.
Course content
Python Fundamentals ( 10 sessions , 15 hours )
1 item
Python Advance ( 6 sessions , 8 hours )
1 item
Financial Trading ( 4 sessions , 6 hours )
1 item
Strategy Building/Backtesting ( 8 sessions , 12 hours )
1 item
Broker Api (interactive/fyers) ( 4 sessions , 6 hours )
1 item
Advance Topics ( 4 sessions , 6 hours )
1 item
Your Instructor
Sunil Sala
Quant Developer and Mentor
10+ Years of Experience in Designing Quantitative Trading Strategies for Real Financial Markets
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