Price Transform

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6 functions.

pta.avgdev

Average Deviation

pta.avgdev(real=pl.col("close"), time_period=14)

TA-Lib name: AVGDEV

Inputs

Input	Default
real	pl.col("close")

Parameters

Parameter	TA-Lib name	Type	Default	Range / values
time_period	optInTimePeriod	int	14	2 .. 100000

Outputs

Field	dtype
real	Float64

Example

df.select(pta.avgdev(time_period=20).alias("avgdev"))

pta.avgprice

Average Price

pta.avgprice(open=pl.col("open"), high=pl.col("high"), low=pl.col("low"), close=pl.col("close"))

TA-Lib name: AVGPRICE

Inputs

Input	Default
open	pl.col("open")
high	pl.col("high")
low	pl.col("low")
close	pl.col("close")

Parameters

None.

Outputs

Field	dtype
real	Float64

Example

df.select(pta.avgprice().alias("avgprice"))

pta.ha

Heikin-Ashi Candles

pta.ha(open=pl.col("open"), high=pl.col("high"), low=pl.col("low"), close=pl.col("close"))

TA-Lib name: HA

Inputs

Input	Default
open	pl.col("open")
high	pl.col("high")
low	pl.col("low")
close	pl.col("close")

Parameters

None.

Outputs

Field	dtype
ha_open	Float64
ha_high	Float64
ha_low	Float64
ha_close	Float64

Returned as a Struct.

Example

df.select(pta.ha().alias("out")).unnest("out")

pta.medprice

Median Price

pta.medprice(high=pl.col("high"), low=pl.col("low"))

TA-Lib name: MEDPRICE

Inputs

Input	Default
high	pl.col("high")
low	pl.col("low")

Parameters

None.

Outputs

Field	dtype
real	Float64

Example

df.select(pta.medprice().alias("medprice"))

pta.typprice

Typical Price

pta.typprice(high=pl.col("high"), low=pl.col("low"), close=pl.col("close"))

TA-Lib name: TYPPRICE

Inputs

Input	Default
high	pl.col("high")
low	pl.col("low")
close	pl.col("close")

Parameters

None.

Outputs

Field	dtype
real	Float64

Example

df.select(pta.typprice().alias("typprice"))

pta.wclprice

Weighted Close Price

pta.wclprice(high=pl.col("high"), low=pl.col("low"), close=pl.col("close"))

TA-Lib name: WCLPRICE

Inputs

Input	Default
high	pl.col("high")
low	pl.col("low")
close	pl.col("close")

Parameters

None.

Outputs

Field	dtype
real	Float64

Example

df.select(pta.wclprice().alias("wclprice"))