Course Overview The Python for Algorithmic Trading course caters to individuals seeking entry into the stock market, whether for professional engagement or personal investment and systematic trading.
Targeted towards those enthusiastic about advancing their skills in finance, the course appeals to minds eager to learn and cultivate their own systems, mirroring the practices of major banks, hedge funds, and proprietary trading desks.
Weekly Evaluation and Assessments Regular assessments and tests are administered to gauge comprehension of concepts covered in live sessions and their practical application.
Designed to assess crucial concepts essential for success as a quantitative trader, these assignments and tests are structured to thoroughly examine understanding.
… … Real-Time Trading Project Upon program completion, participants are expected to formulate their unique trading strategies, encompassing ideation, quantitative data analysis, strategy logic, backtesting, code implementation, and strategy optimization.
Project topics may span Statistical Arbitrage, Trend Following, Option-Based Strategies, Machine Learning-Based Trading Strategies, Volatility Crush, Intraday Momentum, or any other practical strategy according to participant preference.
Each participant is paired with a dedicated mentor for coding and trading assistance, addressing any queries related to coding or trading.
Course Outline
1. Basic of Python
MODULE 1
2. Trading Libraries & Datascience
MODULE 2
3. Statistics For Financial Markets
MODULE 3
4. Price Action & Options Trading
MODULE 4
5. Trading Strategies
MODULE 5
6. Event Trading & Risk Management
MODULE 6
7. Backtesting
MODULE 7
8. Data Insights
MODULE 8
9. Automated Trading
MODULE 9
10. Machine Learning for Trading
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