takit

Technical analysis library for Python.

Definitions

The library is structured around the following definitions:

• Indicator: Produces a continuous value based on the input data to indicate trend, momentum, volatility, etc.
• Signal: Produces a discrete value like 1, 0, -1 to signal trend change, overbought, oversold, etc.

These functions are located in the different subpackages indicators and signals.

Features

• Validation of input pandas Series / DataFrames to indicators and signals
• Ready to use signal calculations based on the indicator values

Installation

pip install takit
# or with optional group `data` for fetching data
pip install "takit[data]"

Usage

To use the following example you need to install the library with the optional group data.

import pandas as pd

import takit

# Fetch data
ohlc = takit.data.fetch_data(
    data_source="binance", ticker="BTCUSDT", interval="1d", start="2023-01-01", end="2025-07-01"
)

# Calculate indicators
df = pd.concat(
    [
        ohlc,
        takit.bb(ohlc["close"], include_width=True, include_percentage=True),
        takit.wvf(ohlc),
        takit.rsi(ohlc["close"]),
    ],
    axis=1,
)

print(df.tail(40))