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Options Trading Strategies In Python: Intermediate
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Options Trading Strategies In Python: Intermediate
| TOTAL DURATION | CERTIFICATION VALIDITY | COURSE TYPE |
|---|---|---|
| 05 Hours | - | Online |
For more information, please Contact:
Email ID: quantra@quantinsti.com
Mobile: +91-8291945960
Profitable Options Trading strategies are backed by quantitative techniques and analysis. This course will teach you just how to do that. It is a part-1 of the two-course bundle that covers Options Pricing models, and Options Greeks, with implementation on market data using Python.
- Backtest Options Trading strategies and use them to trade in live markets
- Explain Options Greeks
- Calculate the Options Price and Options Greeks
- Visualize the payoff of Calendar Spread strategy
- Predict movement of indices using implied volatility of the options
- Backtest various volatility based trading strategies
- Implement strategies in the live markets and analyze the performance
Options Trading
- Options Pricing and Greeks
- Put call parity
- Forward Volatility, Smile and Skew
Math Concepts
- Binomial Tree
- Monte Carlo
- Finite Difference Method
Python
- Libraries: mibian, NumPy, Pandas
- Options Data Importing and Manipulation
N/A
- Options Pricing Models
- Evolved Options Pricing Model
- Options Greeks: Delta
- Option Greeks: Gamma
- Option Greeks: Vega
- Option Greeks: Theta and Rho
- Options Trading Strategies
- Run Codes Locally on Your Machine
- Volatility Trading Strategies
- Volatility Skew
- Live Trading on IBridgePy
- Paper and Live Trading
- Wrapping Up!
Updated on: 04/03/2023
