Introduction
Algorithmic trading
()
1. The Basics of Securities Markets
Basics of stocks
()
Basics of stock markets
()
Basics of trading stocks
()
Algorithms and the financial industry
()
Algorithms in Excel
()
Data analytics and algorithms
()
Stocks and the Fed
()
Big data in finance
()
Predicting values with regressions
()
Stocks and trading in practice
()
2. Investing and Securities
Stationarity and the VIX
()
Case study: ETF pairs trading with algorithms (OIH and XOP)
()
Case study: Dual share class pairs trading (VIA and VIA.B)
()
Common quantitative rules and strategies
()
Visually examining trading relationships
()
3. Building Algorithms
Gathering data for an algorithm
()
Designing an algorithm
()
Testing algorithm accuracy
()
Algorithm profitability and trading decisions
()
Economic data and stock correlations
()
Predicting economic variables
()
Advanced algorithms
()
Evaluating models
()
4. Using Trading Algorithms
Buying and selling with an algorithm
()
Expanding the algorithm to other securities
()
Scenario analysis in investing
()
5. The Evolution of Trading
Find trading strategies in research literature
()
Short-term vs. long-term quantitative strategies
()
Social media and drawing data from online platforms
()
Does algo trading work?
()
Algo trading in practice: Who uses it?
()
Algo trading services for individual investors
()
Ex_Files_Algorithmic_Trading_and_Stocks_EssT.zip
(8.3 MB)