capture profitability from swings in asset prices
swing trading is a rule-based trading strategy that aims to capture the profitability from short-term trends. a typical holding period for swing trading is two to five trading days, and rarely exceeds two weeks.
as a rule-based trading strategy, swing trading can be implemented using an algorithmic trading approach by using technical or fundamental indicators to generate trading signal and trading orders.
swing traders use a variety of techniques to identify trading opportunities, such as:
- (e.g., bollinger band chart, candlestick chart, and point-and-figure chart)
- hypothesis testing, machine learning, and pattern recognition
- analysis of financial time series to generate trading signals
- technical indicators (e.g., macd, rsi, williams %r, stochastic)
for more on tools for swing trading, see matlab®, datafeed toolbox™, and financial toolbox™.
examples and how to
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algorithmic trading - solution
software reference
- technical indicators - financial toolbox functions
- cointegration testing - econometrics toolbox functions
- - financial toolbox functions
- - financial toolbox functions
- - financial toolbox functions
see also: algorithmic trading, automated trading, statistical arbitrage