TimeLockedMA

Library & function(s) which generates a moving average that stays locked to users desired time preference.
TODO - Add functionality for more moving average types. IE: smooth, weighted etc...
Example:
time_locked_ma(close, length=1, timeframe='days', type='ema')
Will generate a 1 day exponential moving average that will stay consistent across all chart intervals.
Error Handling
On small time frames with large moving averages (IE: 1min chart with a 50 week moving average), you'll get a study error that says "(function "sma") references too many candles in history".
To fix this, make sure you have timeframe="" as an indicator() header. Next, in the indicator settings, increase the timeframe from to a higher interval until the error goes away.
By default, it's set to "Chart". Bringing the interval up to 1hr will usually solve the issue.
Furthermore, adding timeframe_gaps=false to your indicator() header will give you an approximation of real-time values.
Misc Info
For time_lock_ma() setting type='na' will return the relative length value that adjusts dynamically to user's chart time interval.
This is good for plugging into other functions where a lookback or length is required. (IE: Bollinger Bands)
time_locked_ma(source, length, timeframe, type) Creates a moving average that is locked to a desired timeframe
Parameters:
source: float, Moving average source
length: int, Moving average length
timeframe: string, Desired timeframe. Use: "minutes", "hours", "days", "weeks", "months", "chart"
type: string, string Moving average type. Use "SMA" (default) or "EMA". Value of "NA" will return relative lookback length.
Returns: moving average that is locked to desired timeframe.
timeframe_convert(t, a, b) Converts timeframe to desired timeframe. From a --> b
Parameters:
t: int, Time interval
a: string, Time period
b: string, Time period to convert to
Returns: Converted timeframe value
chart_time(timeframe_period, timeframe_multiplier) Separates timeframe.period function and returns chart interval and period
Parameters:
timeframe_period: string, timeframe.period
timeframe_multiplier: int, timeframe.multiplier
Enjoy :)
Perpustakaan Pine
Dalam semangat sebenar TradingView, penulis telah menerbitkan kod Pine ini sebagai perpustakaan sumber terbuka supaya pengaturcara Pine lain dari komuniti kami boleh menggunakannya semula. Sorakan kepada penulis! Anda juga boleh menggunakan perpustakaan ini secara peribadi atau dalam penerbitan sumber terbuka lain, tetapi penggunaan semula kod ini dalam penerbitan adalah tertakluk kepada Peraturan Dalaman.
Penafian
Perpustakaan Pine
Dalam semangat sebenar TradingView, penulis telah menerbitkan kod Pine ini sebagai perpustakaan sumber terbuka supaya pengaturcara Pine lain dari komuniti kami boleh menggunakannya semula. Sorakan kepada penulis! Anda juga boleh menggunakan perpustakaan ini secara peribadi atau dalam penerbitan sumber terbuka lain, tetapi penggunaan semula kod ini dalam penerbitan adalah tertakluk kepada Peraturan Dalaman.