Genetic options

StrategyQuant > Program screens > Settings

Genetic options

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when you set Build mode to Genetic evolution in What to build -> Build Mode, a new tab Genetic options will appear in the settings. There you can set up various properties of genetic evolution. Genetic options Max # of Generations number of generations for which the population will be evolved. Recommended value from 5 […]

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 […]

Databank

StrategyQuant > Program screens > Results

Databank

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Databank is a storage place where the generated/tested strategies are stored with their results. Each mode (Build/Test/Improve/Optimize) has its own independent databank table. For memory reasons Databank cannot keep unlimited number of strategies, instead it stores the selected number of top strategies, for example top 100 or top 1000 strategies. The configuration how many strategies […]

Trading options

StrategyQuant > Program screens > Settings

Trading options

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These settings allow you to specify the properties of the generated strategies as well as testing conditions. Trading options govern behavior of the strategy in backtesting engine – for example whether all orders should be closed at the end of day, etc. Exit at end of day/end of range if selected, the strategy will close […]

Data

StrategyQuant > Program screens > Settings

Data

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This is where you can configure the symbol, timeframe, and time range on which the strategies will be backtested. Trading Engine allows you to choose which of the available backtesting engines (MetaTrader4 / MetaTrader 5 etc.) should be used for testing the strategy. Backtest data settings choose the symbol, timeframe and date range on which […]