https://github.com/sup/qia-trading-strategies

:chart_with_upwards_trend: Matlab trading strategies for GTA's QIA and iQuant software
https://github.com/sup/qia-trading-strategies

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:chart_with_upwards_trend: Matlab trading strategies for GTA's QIA and iQuant software

• Host: GitHub
• URL: https://github.com/sup/qia-trading-strategies
• Owner: sup
• Created: 2013-08-09T17:55:57.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2013-11-07T06:39:33.000Z (about 11 years ago)
• Last Synced: 2024-11-09T04:38:02.955Z (2 months ago)
• Language: M
• Homepage:
• Size: 1.71 MB
• Stars: 5
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
QIATrading

==========

This is a collection of trading strategies to be used with GTA Finance and Education's

QIA and iQuant products. These include indicators, channel breakouts, and trend-following strategies and have been backtested on historical Shenzhen Stock Exchange and Shanghai Stock Exchange time series data.

Strategies

----------

* Fast Stochastics

* Slow Stochastics

* Adjusted Stochastics

* Simple Moving Average Cross-over

* Exponential Moving Average Cross-over

* Time-Filtered Moving Average Cross-over

* Augmented Moving Average Cross-over

* Bollinger Bands

* Divergence Index

* Normalized Envelope Indicator

* Keltner Channels

* MACD Histogram Retracement

* Volume Reversal

* Saitta Support and Resistance

* Ichimoku Clouds (Strong Signal Filtered)