Cross checks are optional additional methods that can be applied to every strategy after it is generated and passes the first filters. They can check strategy robustness from more points of view – by trading it on additional markets, or by using Monte Carlo methods to simulate 100s different equity curves, or even using Walk-Forward […]
When you’ll first start StrategyQuant you’ll see the main screen as in the picture below. The program functionality is divided into tabs on the sides. These tabs are: Home – starting screen of the program, it contains the sample settings, news and helpful links Builder – tool to build new strategies or improve existing ones. […]
The general flow of work when generating new strategies can be described as a series of the following steps:
1. Import or download data for backtesting
2. Configure Builder options
3. Run build
4. Evaluate generated strategies
5. Retest or optimize, perform more checks
StrategyQuant X allows you to choose from 3 different strategy “styles”. By style we mean how the strategy is constructed.
Every trading strategy consists of set of IF – THEN rules, managing IF something happens THEN do some action. There are however some differences in how exactly these rules are constructed.
There are two build modes to choose from:
StrategyQuant first generates initial population of random candidates (using the Random Generation mode) and then uses genetic evolution process to evolve the population and produce better and better candidates with each generation.
The process ends when predefined number of generations is reached or when there’s no further improvement.