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Quantitative Finance and Algorithmic Trading Systems
Materials
Course Overview
1. The Quantitative Foundation
Resources
1. Introduction to Research
1. Introduction to Research
2. Introduction to Python
3. Introduction to NumPy
4. Introduction to pandas
5. Plotting Data
6. Means
7. Variance
8. Statistical Moments
9. Linear Correlation Analysis
10. Instability of Estimates
2. Linear Modelling and Regression
3. Risk, Inference, and Biases
4. Portfolio Theory and Factor Investing
5. Advanced Strategies and Time Series
Resources
43. Integration, Cointegration, and Stationarity
44. Introduction to Pairs Trading
45. Example: Basic Pairs Trading Algorithm
46. Example: Pairs Trading Algorithm
47. Autocorrelation and AR Models
48. ARCH, GARCH, and GMM
49. Kalman Filters
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Quantitative Finance and Algorithmic Trading Systems
Materials
Course Overview
1. The Quantitative Foundation
Resources
1. Introduction to Research
1. Introduction to Research
2. Introduction to Python
3. Introduction to NumPy
4. Introduction to pandas
5. Plotting Data
6. Means
7. Variance
8. Statistical Moments
9. Linear Correlation Analysis
10. Instability of Estimates
2. Linear Modelling and Regression
3. Risk, Inference, and Biases
4. Portfolio Theory and Factor Investing
5. Advanced Strategies and Time Series
Resources
43. Integration, Cointegration, and Stationarity
44. Introduction to Pairs Trading
45. Example: Basic Pairs Trading Algorithm
46. Example: Pairs Trading Algorithm
47. Autocorrelation and AR Models
48. ARCH, GARCH, and GMM
49. Kalman Filters
Materials
Content
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