Talib Functions Examples¶

Examples use pandas data, but most functions should be compatible with a polars dataframe as well.

In [1]:

from mplchart.chart import Chart
from mplchart.samples import sample_prices
from mplchart.primitives import Candlesticks, OHLC, Volume, LinePlot

from talib.abstract import Function

from mplchart.chart import Chart from mplchart.samples import sample_prices from mplchart.primitives import Candlesticks, OHLC, Volume, LinePlot from talib.abstract import Function

In [2]:

prices = sample_prices(backend="polars")
prices

prices = sample_prices(backend="polars") prices

Out[2]:

shape: (11_325, 6)

date	open	high	low	close	volume
date	f64	f64	f64	f64	i64
1980-12-12	0.098389	0.098817	0.098389	0.098389	469033600
1980-12-15	0.093684	0.093684	0.093256	0.093256	175884800
1980-12-16	0.086839	0.086839	0.086412	0.086412	105728000
1980-12-17	0.08855	0.088978	0.08855	0.08855	86441600
1980-12-18	0.091118	0.091545	0.091118	0.091118	73449600
…	…	…	…	…	…
2025-11-11	269.809998	275.910004	269.799988	275.25	46208300
2025-11-12	275.0	275.730011	271.700012	273.470001	48398000
2025-11-13	274.109985	276.700012	272.089996	272.950012	49602800
2025-11-14	271.049988	275.959991	269.600006	272.410004	47399300
2025-11-17	268.815002	270.48999	265.730011	267.459991	42862157

In [3]:

# Candlesticks chart with SMA, RSI and MACD

title = "Talib Example"

Chart(prices, title=title, max_bars=250).plot(
    Candlesticks(),
    Function("SMA", 50),
    Function("SMA", 200),
).pane("above").plot(
    Function("RSI"),
).pane("below").plot(
    Function("MACD"),
).show()

# Candlesticks chart with SMA, RSI and MACD title = "Talib Example" Chart(prices, title=title, max_bars=250).plot( Candlesticks(), Function("SMA", 50), Function("SMA", 200), ).pane("above").plot( Function("RSI"), ).pane("below").plot( Function("MACD"), ).show()

In [4]:

# Bollinger Bands

title = "Bollinger Bands"

Chart(prices, title=title, max_bars=150).plot(
    Candlesticks(),
    Function("BBANDS", 20),
).show()

# Bollinger Bands title = "Bollinger Bands" Chart(prices, title=title, max_bars=150).plot( Candlesticks(), Function("BBANDS", 20), ).show()

In [5]:

# Stochastic Oscillator

title = "Stochastic Oscillator"

indicators = [
    Candlesticks(),
    Function("STOCH"),
]

Chart(prices, title=title, max_bars=250).plot(
    Candlesticks(),
    Function("STOCH"),
).show()

# Stochastic Oscillator title = "Stochastic Oscillator" indicators = [ Candlesticks(), Function("STOCH"), ] Chart(prices, title=title, max_bars=250).plot( Candlesticks(), Function("STOCH"), ).show()

In [6]:

# Parabolic Stop and Reverse

title = "Parabolic Stop and Reverse"

Chart(prices, title=title, max_bars=150).plot(
    Candlesticks(),
    LinePlot(Function("SAR"), style="marker"),
).show()

# Parabolic Stop and Reverse title = "Parabolic Stop and Reverse" Chart(prices, title=title, max_bars=150).plot( Candlesticks(), LinePlot(Function("SAR"), style="marker"), ).show()

In [7]:

# Hilbert Transform

title = "Hilbert Transform"

Chart(prices, title=title, max_bars=150).plot(
    Candlesticks(),
).pane("below").plot(
    Function("HT_SINE")
).pane("below").plot(
    Function("HT_DCPHASE")
).pane("below").plot(
    Function("HT_DCPERIOD")
)

# Hilbert Transform title = "Hilbert Transform" Chart(prices, title=title, max_bars=150).plot( Candlesticks(), ).pane("below").plot( Function("HT_SINE") ).pane("below").plot( Function("HT_DCPHASE") ).pane("below").plot( Function("HT_DCPERIOD") )

Out[7]:

<mplchart.chart.Chart at 0xffff5400a850>

In [ ]: