Decimals — Indicators and Strategies — PulseWire

math_utils Library "math_utils" Collection of math functions that are not part of the standard math library num_of_non_decimal_digits(number) num_of_non_decimal_digits - The number of the most significant digits on the left of the dot Parameters: number : - The floating point number Returns: number of non digits num_of_decimal_digits(number) num_of_decimal_digits - The number of the most significant digits on the right of the dot Parameters: number : - The floating point number Returns: number of decimal digits floor(number, precision) floor - floor with precision to the given most significant decimal point Parameters: number : - The floating point number precision : - The number of decimal places a.k.a the most significant decimal digit - e.g precision 2 will produce 0.01 minimum change Returns: number floored to the decimal digits defined by the precision ceil(number, precision) floor - ceil with precision to the given most significant decimal point Parameters: number : - The floating point number precision : - The number of decimal places a.k.a the most significant decimal digit - e.g precision 2 will produce 0.01 minimum change Returns: number ceiled to the decimal digits defined by the precision clamp(number, lower, higher, precision) clamp - clamp with precision to the given most significant decimal point Parameters: number : - The floating point number lower : - The lowerst number limit to return higher : - The highest number limit to return precision : - The number of decimal places a.k.a the most significant decimal digit - e.g precision 2 will produce 0.01 minimum change Returns: number clamped to the decimal digits defined by the precision

Library

by jason5480

How To Count Decimals Custom f_nDecimals() function returns precision of decimal numbers of the following forms: const, input, simple, and series of the following types: float, integer, and string. Error checking is performed for valid numbers and invalid values return NaN. NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!

Indicator

by allanster

Cross impro test by Canundo Crossover Crossunder Tick values This is a script where I tried to check the following things: Even thought the tick of an asset is, for example 0.5, there are calculated prices, like SMA's that have even more decimals. Leading to crosses happening that for example happen at the same price. Consequently triggering totally useless in side markets. What happens if SMA values are restricted to the tick resolution? (Option works on it's own or with a combination of the others.) What happens if I set my own tick value, like 0.8 instead of 0.5, what will be the effect for calculated values that are used for crossings? Will tick sizes improve the success rate? (This option will work only when the first option is active.) Can success rate, especially for sideway markets be improved when adding a spread between MA's, so that it triggers less in sideway markets? (Option works on it's own or with a combination of the others.) First of all, I had a hard time to round prices properly when it needs to be dynamic and working for different assets with different amounts of decimal values in the tick. The solution is that abs(floor(syminfo.mintick)) will give you the amount of decimals a tick has. It works for all ticks that are at least lower than 10. I'm not sure how huge ticks are out there. I did not implement this solution at the end since I found another way to test it. Findings: The first option, when activated, takes out half the trades and raises the percent profitability by 8% so there is some effect. However, all of the tested options have less advantage than I hoped for but are nevertheless something worthy for sideway markets. The first option just forces the MA's from the example to use the tick resolution. See these two images. One when the first option is off, the second when it's active. The lines are the MA's with adjusted values, the crosses are the places of the MA's when left as is. Here a screenshot of the third option set to the value 2 on the 1 minute XBTUSD chart. The advantage is that less trades trigger that have a low change in price and so less trading fees will happen. The disadvantage is that all options can implement some delay for a crossing since the crossing will trigger once a slightly bigger move into the direction was taken. This test environment was not meant to be profitable but to test the effects. Maybe someone finds it interesting or wanted to test the same, so here you can save some work.

Strategy

by Canundo