DocumentationPage 2

Ranking options

StrategyQuant > Program screens > Settings

Ranking options

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When the strategies are generated, every new strategy is backtested on a history data and the results of the backtest are then used to compute the Fitness (rank) of the strategy. Fitness is number from 0 to 1 and it should reflect the “quality” of the strategy according to the given criteria. In this screen […]

Cross checks (robustness tests)

StrategyQuant > Program screens > Settings

Cross checks (robustness tests)

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Cross check tests are additional tests that can be applied to your strategy. The idea behind robustness testing is to verify how well the strategy will behave when there are small changes in inputs, history data or other components of the strategy. This section is described in more detail in the Advanced functionality and Cross […]

Money management

StrategyQuant > Program screens > Settings

Money management

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Money management (or position sizing) specifies how many lots or shares are traded on each trade. StrategyQuant contains flexible money management options that can be used in the program and later also in real trading in MetaTrader. Brief description of different money management types: Fixed size strategy will trade with fixed number of lots. This […]

Build mode

StrategyQuant > Program screens > Settings

Build mode

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Settings that affect how strategies are generated. You can choose from two options – genetic evolution or random generation.  For Random generation you only set when the build should stop. You can run it continually “forever” until it is manually stopped by you, or after databank is full, or after a certain number of strategies […]

Building blocks

StrategyQuant > Program screens > Settings

Building blocks

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Building blocks are the core components that are combined to create rules and actions for every trading strategy. There are three separate panels: Entry Rules Building Blocks Entry building blocks can be divided into several parts: Indicators -RSI, CCI, Momentum, etc. Price ranges – indicaotrs like ATR, Bar Range Price values – simple price values […]

Strategy options

StrategyQuant > Program screens > Settings

Strategy options

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These settings allow you to specify the properties of the generated strategies as well as testing conditions. Some of the options are displayed only for Builder, because they make no sense in Retester. Build options Build options govern some of the aspects of how new strategies are randomly built. They are: Don’t use price range […]

Cross checks – automated strategy robustness tests

StrategyQuant > Quick start

Cross checks – automated strategy robustness tests

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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 […]

Program layout

StrategyQuant > Quick start

Program layout

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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. […]

Supported building blocks

StrategyQuant > How does StrategyQuant work?

Supported building blocks

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StrategyQuant supports over 250 building blocks, including all the standard technical indicators like CCI, RSI, Stochastic, Momentum, etc. It also supports all standard order types – Market, Stop, Limit and advanced exit methods like Trailing Stop or Move Stop Loss to Break Even. The best thing about new SQ X is that it allows you […]

Workflow

StrategyQuant > Quick start

Workflow

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Standard workflow

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