- Python Basics, Market Data Handling
- F&O Data Analysis
- Building Market Screeners & Auto Data Downloader
- Back testing Intraday F&O and Equity Strategies
- System Validation, Advanced Metrics & Optimization
- Coding & back testing Custom Indicators
- Report Analysis Including Data Visualization
Python Training Courses
Course Modules
Course Objective:
Students will progress from the fundamentals of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and utilizing Python modules’ extensive functionality.
Why Systematic Trading?
Markets Are Dynamic
Theirs is no guarantee that traditional trading methods will continue to work, hence the need to evolve with markets.
Algos Are Taking Over
With AI & ML going main stream, markets will be dominated by algos. It’s time to future-proof yourself.
Controlling Emotions
A Systematic Approach to trading helps manage the biggest problem every trader faces: EMOTIONS
Validate Your Hypothesis
Do you start trading without testing your strategy? Welcome to the Quant approach. Test first. Deploy later!
Laptop Lifestyle
It’s not trading that is hard it’s the process that is. With a systematic approach, you can drastically reduce your screen time.
Why Python for Systematic Trading?
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Easy to Learn
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Fast & Flexible
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Can process a vast amount of Data
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Removes limitations of MS Excel
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Inbuild libraries for statistical analysis
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Can easily automate routine tasks