Scan for MA cross in a 30 min timeframe

The moving average crossover is a built in scan so we don’t need any code to do that one. See attached screenshot for an example of how to chain together multiple tests to check for crosses having occurred X bars ago. (you will need to add additional lines to account for your 14 bar lookback)

“First parabolic SAR dot appearance” is too vague. Need more details. The first dot appears on the first bar of the chart. So obviously you intended to communicate something different. But I don’t know what that might be. And we may even put that in another post altogether. Have you searched the Q&A forum? There has been very broad coverage of the PSAR.

“ashi keiken”. I am not familiar with this term. You will need to provide more details. Seems as though you may have intended to type Heiken Ashi?

Unless you have a description of how you want all three of these elements wrapped up into a single scan I am going to recommend you break these other two questions into separate posts. This will help folks search for a find those solutions on their own merit.

Ok, after some further details I have an more detailed solution. Attached screenshot shows the scan layout with results. As well as a chart setup to show the essential elements of the scan. I am providing two pieces of code. The first is the one that checks for moving average crossover within the last 14 bars. This will be added to the custom scan as a study filter set to 30 min time frame.

def ma20 = Average(close, 20);
def ma50 = Average(close, 50);
def crossAbove = ma20[1] < ma50[1] and ma20 > ma50;
# crossAbove is true/false and returns a numeric value of 1 or zero
def crossWithin14 = Highest(crossAbove, 14) > 0;
# crossWithin14 checks for the highest value of crossAbove within 14 bars
# and returns true if the lowest value is greater than zero.
plot scan = crossWithin14;

The next piece of code combines both the PSAR along with the Heiken Ashi. Because Rachid has explained that both of these filters should operate on the daily time frame. So when adding this as study filter to the scan, make sure you sent the time frame to Daily.

# Parablic SAR
input accelerationFactor = 0.02;
input accelerationLimit = 0.2;
def psar = ParabolicSAR(accelerationFactor, accelerationLimit).parSAR;
def psarTrigger = psar[1] < close[1]; # Heiken Ashi def haClose = ohlc4; rec haOpen = CompoundValue(1, (haopen[1] + haclose[1]) / 2, (open[1] + close[1]) / 2); def adjOpen = Round(haOpen / TickSize(), 0) * TickSize(); def adjClose = Round(haClose / TickSize(), 0) * TickSize(); def haTrigger = adjClose > adjOpen;
plot scan = psarTrigger and haTrigger;

Ok, that’s all I have.