PINE LIBRARY
Momentum
ที่อัปเดต:
Library "Momentum"
Contains utilities varying algorithms for measuring momentum.
simple(fast, slow, src, fastType, slowType) Derives momentum from two moving averages of different lengths.
Parameters:
fast: The length of the fast moving average.
slow: The length of the slow moving average.
src: The series to measure from. Default is 'close'.
fastType: The type of moving average the fast should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
slowType: The type of moving average the slow should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
stochRSI(fast, fast, rsiLen, stochLen, src, kmode) Returns the K and D values of a Stochastic RSI. Allows for different moving averages to produce the K value.
Parameters:
fast: The length to average the stochastic.
fast: The length to smooth out K and produce D.
rsiLen: The length of the RSI.
stochLen: The length of stochastic.
src: The series to measure from. Default is 'close'.
kmode: The type of moving average to generate. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
Returns: [K, D]
macd(fast, slow, signal, src, fastType, slowType, slowType) Same as well-known MACD formula but allows for different moving averages types to be used.
Parameters:
fast: The length of the fast moving average.
slow: The length of the slow moving average.
signal: The length of average to applied to smooth out the signal.
src: The series to measure from. Default is 'close'.
fastType: The type of moving average the fast should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
slowType: The type of moving average the slow should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
slowType: The type of moving average the signal should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
Returns: [macd, signal, histogram]
Contains utilities varying algorithms for measuring momentum.
simple(fast, slow, src, fastType, slowType) Derives momentum from two moving averages of different lengths.
Parameters:
fast: The length of the fast moving average.
slow: The length of the slow moving average.
src: The series to measure from. Default is 'close'.
fastType: The type of moving average the fast should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
slowType: The type of moving average the slow should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
stochRSI(fast, fast, rsiLen, stochLen, src, kmode) Returns the K and D values of a Stochastic RSI. Allows for different moving averages to produce the K value.
Parameters:
fast: The length to average the stochastic.
fast: The length to smooth out K and produce D.
rsiLen: The length of the RSI.
stochLen: The length of stochastic.
src: The series to measure from. Default is 'close'.
kmode: The type of moving average to generate. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
Returns: [K, D]
macd(fast, slow, signal, src, fastType, slowType, slowType) Same as well-known MACD formula but allows for different moving averages types to be used.
Parameters:
fast: The length of the fast moving average.
slow: The length of the slow moving average.
signal: The length of average to applied to smooth out the signal.
src: The series to measure from. Default is 'close'.
fastType: The type of moving average the fast should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
slowType: The type of moving average the slow should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
slowType: The type of moving average the signal should use. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
Returns: [macd, signal, histogram]
เอกสารเผยแพร่
v2 Cleanup.เอกสารเผยแพร่
v3 Fixed function docs.เอกสารเผยแพร่
v4 Republish for debugging server errorเอกสารเผยแพร่
v5 Updated reference with improved MovingAverage lib.เอกสารเผยแพร่
v6 Added 'changeNormalized' function for normalizing the velocity of movement. Typically used for moving averages.Added:
changeNormalized(src, len) Returns the 'change' (current - previous) in value normalized by standard deviation measured by the provided length.
Parameters:
src: The series to measure changes.
len: The number of bars to measure the standard deviation.
เอกสารเผยแพร่
v7 Updated DataCleaner and implemented normalize function.Updated:
changeNormalized(src, len) Returns the 'change' (current - previous) in value normalized by standard deviation measured by the provided length.
Parameters:
src: The series to measure changes.
len: The number of bars to measure the standard deviation.
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