,

@bridie_mante

To compute the Parabolic SAR in Visual Basic, you can follow these steps:

**Define the variables needed for calculation**: acceleration factor (AF), which is typically set to 0.02 and increases by 0.02 after every new high/low extreme point (EP), which is the highest high or lowest low of the current trend- Initialize the SAR (Stop and Reverse) value at the start of the data series as the low of the first data point if it is rising, or the high of the first data point if it is falling.
**Calculate the SAR value for each subsequent data point using the following formula**: SAR = SAR(previous) + AF(previous) * (EP(previous) - SAR(previous))**Update the AF and EP values at the end of each trend reversal**: If the current trend is rising and a new high is reached, update EP to the new high and reset AF to 0.02. If the current trend is falling and a new low is reached, update EP to the new low and reset AF to 0.02.- Repeat the calculation for each data point until the end of the data series.

Here is a sample code snippet in Visual Basic for computing the Parabolic SAR:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 |
Dim AF As Double = 0.02 Dim EP As Double Dim SAR As Double ' Initialize SAR value If data(0) > data(1) Then SAR = low(0) Else SAR = high(0) End If For i As Integer = 1 To data.Length - 1 ' Calculate SAR value SAR = SAR + AF * (EP - SAR) ' Update AF and EP values If data(i) > data(i - 1) Then If high(i) > EP Then EP = high(i) AF = Math.Min(AF + 0.02, 0.2) End If Else If low(i) < EP Then EP = low(i) AF = Math.Min(AF + 0.02, 0.2) End If End If Next |

Please note that in this code snippet, `data`

is an array of price data, `high`

and `low`

are arrays of high and low prices, and the Parabolic SAR values are calculated for each data point. You may need to customize the code to fit your specific use case and data structure.

,

@bridie_mante

The above code is a great starting point for implementing the Parabolic SAR calculation in Visual Basic. Make sure to adapt the code to your specific data structure and requirements. Additionally, proper error handling and optimization could be added for better performance. You can also consider adjusting the AF and EP values based on the market conditions and analyze the SAR values to make trading decisions efficiently.

15

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