This Provides a user with methods to create a list of profit targets and order sizes which grow or shrink. For size, the will add up to specific sum. for Targets they will include the first and last, and can lean towards either, to scale the order grid.
And thanks to @HoanGhetti for the markdown, i've included a basic usage example within the hover , o you don't need to search for the usage example, simply import, and when writing, the code hint contains a full example.
scaled_sizes(total_size, count, weight, min_size, as_percent) create an array of sizes which grow or shrink from first to last which add up to 1.0 if set the as_percent flag , or a total value / sum. Parameters: total_size: (float) total size to divide ito split count: (int ) desired number of splits to create weight: (float) a weight to apply to grow or shrink the split either towards the last being most, or the first being most, or 1.0 being each is equally sized as 1/n count min_size: (float) a minimum size for the smallest value (in value of ttotal_size units) as_percent: (float) a minimum size for the smallest value (in value of total_size units) Returns: Array of Sizes for each split
scaled_targets(count, weight, minimum, maximum) create a list of take profitt targets from the smallest to larget distance Parameters: count: (int ) number of targets weight: (float) weight to apply to growing or shrinking minimum: (float) first value of the output maximum: (float) last value of the output Returns: Array of percentage targets
Informacje o Wersji
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v2
Added: method scaled_order_array(total_size, count, tp_weight, tp_min, tp_max, size_weight, min_size, as_percent) # Creates target Objects with combined info. ---- Creates a list of take profitt targets from the smallest to larget distance and a set of sizes for each which add up to the total size Combines them into Target OPbjecs ### `example` ``` total_size = input(100, 'USD order size') / close count = input(5 , 'Order count') tp_weight = input(100, 'Grow/Shrink') / 100 tp_min = input(10, ' Min TP') / 100 tp_max = input(0.55, 'Max TP') / 100 size_weight = input(100, 'Grow/Shrink') / 100 min_size = input(10, ' Min Required Order') / close // Call scaled_order_array(total_size, count, tp_weight, tp_min, tp_max, size_weight, min_size) ``` Namespace types: series float, simple float, input float, const float Parameters: total_size (float): (float) total size to divide ito split count (int): (int ) desired number of splits to create tp_weight (float): (float) a weight to apply to grow or shrink the target prices tp_min (float): (float) a minimum target tp_max (float): (float) a maximum target size_weight (float): (float) a weight to apply to grow or shrink the split either towards the last being most, or the first being most, or 1.0 being each is equally sized as 1/n count min_size (float): (float) a minimum size for the smallest value (in value of ttotal_size units) as_percent (bool): (bool) Use percent for size Returns: Array of Sizes for each split
target Target Objects contain Informations for the order placement Fields: price (series float): The price for the order size (series float): The size for the order ispct_prc (series bool): Is the price a percentage ispct_sz (series bool): Is the size a percentage
is this a upper indicator when published it went to a lower oscillator and was blank?
kaigouthro
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@EMC2PRoPheT, it is not an indicator. it is for creating arrays of take profit target percentages, and sizes, with a weight to bias the sizes / steps to closer or further.
EMC2PRoPheT
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@kaigouthro, yes i this was my interest in it because this correlates to my pyramid rise over run studies i was trying to do. I like it thanks or the response this was my box study i put together
kaigouthro
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@EMC2PRoPheT, thank you! Really cool, are you using it to set targets at expected box height limits? wih some weight on size of exits and percentage distances, i think you could use your data as control inputs for predicted targets and tweak them to optimize target hit rate or size disribution.
EMC2PRoPheT
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@kaigouthro, so the box correlates the price of reversal top or bottom and range it actually ran o dropped. then added a meme trade zone and also deviated price points for levels. added SMC then a shifting wedge to account for the exit entry ranges