Platforms

To deploy ForeStock on TradeStation, please follow these steps:

1. Install TradeStation 2000i or above
2. Install ForeStock
3. Enter license keys for all components
4. Run ForeStock setup for Trade Station
       Programs > StockFusion > StockFusion for Trade Station
5. There will appear import wizard screen. Select all objects for import and confirm.

Watch imported functions in Easy Language editor. Use provided functions as templates for your own functions and strategies.

Below there is full Easy Language code of Aura Forecast Engine call.

{*******************************************************************

    Description: Aura Forecast Engine Extended

    Provided By: Boris Zinchenko (c) Copyright 2008

********************************************************************}

DefineDLLFunc: "EEOmegaX.dll", float, "AURA_ENGINE_EX", LPSTR, DWORD, DWORD, LPLONG, LPINT, LPLONG, LPLONG, LPLONG, LPLONG, LPLONG, LPLONG, LPSTR, LPSTR, DWORD;

{ Inputs }

Inputs:

AlgorithmName(String),

InputLength(Numeric),

SeriesNames(String),

Parameters(String),

ForecastLength(Numeric),

Forecast(NumericRef);

{ Inner variables }

Variables: Dummy(0), Counter(0);

{ Reserve arrays for data }

Dummy = Date[InputLength];

Dummy = Time[InputLength];

Dummy = Open[InputLength];

Dummy = High[InputLength];

Dummy = Low[InputLength];

Dummy = Close[InputLength];

Dummy = Volume[InputLength];

Dummy = OpenInt[InputLength];

{ Call solver }

Forecast = AURA_ENGINE_EX((LPSTR)AlgorithmName, (DWORD)MaxBarsBack, (DWORD)PriceScale,

                          (LPLONG)&Date, (LPINT)&Time, (LPLONG)&Open, (LPLONG)&High,

                          (LPLONG)&Low, (LPLONG)&Close, (LPLONG)&Volume, (LPLONG)&OpenInt,

                       (LPSTR)SeriesNames, (LPSTR)Parameters, (DWORD)ForecastLength);

AuraEngineExt = Forecast;

Short description of input parameters:

This is very simple example of calling engine in trading strategy.

{*******************************************************************

    Description: StockFusion Universal Signal

    Provided By: Boris Zinchenko (c) Copyright 2008

********************************************************************}

Inputs: AlgorithmName("Linear Regression"), InputLength(500), SeriesNames("Close"), Parameters(""), ForecastLength(1);

Variables: Forecast(0);

Value1 = QB_AuraEngineExt(AlgorithmName, InputLength, SeriesNames, Parameters, ForecastLength, Forecast);

If (Forecast < Close) AND (Close > Close[1]) Then Sell This Bar at Close;

If (Forecast > Close) AND (Close < Close[1]) Then Buy This Bar at Close;

Of course, real strategies are typically more complex and realistic .