Library "New_Concepts_in_Technical_Trading_Systems"
A library for trading with mathematical indicators as described by J. Welles Wilder Jr. in 1978
psar(highSeries, lowSeries, closeSeries, start, increment, max)
psar calculates the parabolic SAR for the given series. Uses defaults as described by Wilder
Parameters:
highSeries (float): the series of high price values
lowSeries (float): the series of low price values
closeSeries (float): the series of close price values
start (float): the initial acceleration factor
increment (float): amount the acceleration factor is incremented each step
max (float): the maximum acceleration factor
Returns: the value of the stop and reverse price
momentum(closeSeries)
momentum calculates the momentum value, representing an acceleration of the current trend direction. Also calculates the trend balancing point which is a pivot to the momentum increasing or decreasing.
Parameters:
closeSeries (float): the series of close price values
Returns: the value of the momentum and the next trend balance point
A library for trading with mathematical indicators as described by J. Welles Wilder Jr. in 1978
psar(highSeries, lowSeries, closeSeries, start, increment, max)
psar calculates the parabolic SAR for the given series. Uses defaults as described by Wilder
Parameters:
highSeries (float): the series of high price values
lowSeries (float): the series of low price values
closeSeries (float): the series of close price values
start (float): the initial acceleration factor
increment (float): amount the acceleration factor is incremented each step
max (float): the maximum acceleration factor
Returns: the value of the stop and reverse price
momentum(closeSeries)
momentum calculates the momentum value, representing an acceleration of the current trend direction. Also calculates the trend balancing point which is a pivot to the momentum increasing or decreasing.
Parameters:
closeSeries (float): the series of close price values
Returns: the value of the momentum and the next trend balance point
Versionsinformation:
v2 - where I realized the I've gotten the concepts wrong when looking at momentum.
I previously thought the trend balancing point was the same for long and short directions, which gave me weird results using a strategy on top of it. Realizing that, I thought it to be much more ergonomic using separate functions for the balance points instead of returning a tuple of values.
new:
nextTrendBalancePointShort(closeSeries)
calculates the trend balance point for the next candle when short
Parameters:
closeSeries (float): the series of close price values
Returns: the point the price must close above in order to reverse the current position
nextTrendBalancePointLong(closeSeries)
calculates the trend balance point for the next candle when long
Parameters:
closeSeries (float): the series of close price values
Returns: the point the price must close below in order to reverse the current position
changed:
psar(highSeries, lowSeries, closeSeries, start, increment, max)
calculates the parabolic SAR for the given series. Uses defaults as described by Wilder
Parameters:
highSeries (float): the series of high price values
lowSeries (float): the series of low price values
closeSeries (float): the series of close price values
start (float): the initial acceleration factor
increment (float): amount the acceleration factor is incremented each step
max (float): the maximum acceleration factor
Returns: the value of the stop and reverse price
momentum(closeSeries)
calculates the momentum value, representing an acceleration of the current trend direction
Parameters:
closeSeries (float): the series of close price values
Returns: the value of the momentum
I previously thought the trend balancing point was the same for long and short directions, which gave me weird results using a strategy on top of it. Realizing that, I thought it to be much more ergonomic using separate functions for the balance points instead of returning a tuple of values.
new:
nextTrendBalancePointShort(closeSeries)
calculates the trend balance point for the next candle when short
Parameters:
closeSeries (float): the series of close price values
Returns: the point the price must close above in order to reverse the current position
nextTrendBalancePointLong(closeSeries)
calculates the trend balance point for the next candle when long
Parameters:
closeSeries (float): the series of close price values
Returns: the point the price must close below in order to reverse the current position
changed:
psar(highSeries, lowSeries, closeSeries, start, increment, max)
calculates the parabolic SAR for the given series. Uses defaults as described by Wilder
Parameters:
highSeries (float): the series of high price values
lowSeries (float): the series of low price values
closeSeries (float): the series of close price values
start (float): the initial acceleration factor
increment (float): amount the acceleration factor is incremented each step
max (float): the maximum acceleration factor
Returns: the value of the stop and reverse price
momentum(closeSeries)
calculates the momentum value, representing an acceleration of the current trend direction
Parameters:
closeSeries (float): the series of close price values
Returns: the value of the momentum