swing trading -凯发k8网页登录

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


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

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