Need help with pyti?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

512 Stars 150 Forks MIT License 130 Commits 18 Opened issues


Python library of various financial technical indicators

Services available


Need anything else?

Contributors list


This library contains various financial technical indicators that can be used to analyze data.

Now compatible with both Python 2.7 and Python 3.6

The complete list of indicators in this library:

  -Aroon Up
  -Aroon Down
Average Directional Index
Average True Range
Average True Range Percent
Bollinger Bands
  -Upper Bollinger Band
  -Middle Bollinger Band
  -Lower Bollinger Band
  -Percent Bandwidth
Chaikin Money Flow
Chande Momentum Oscillator
Commodity Channel Index
Detrended Price Oscillator
Double Exponential Moving Average
Double Smoothed Stochastic
Exponential Moving Average
Hull Moving Average
Ichimoku Cloud
  -Chiku Span
  -Senkou A
  -Senkou B
Keltner Bands
  -Center Band
  -Upper Band
  -Lower Band
Linear Weighted Moving Average
Money Flow
Money Flow Index
Moving Average Convergence Divergence
Moving Average Envelope
  -Upper Band
  -Center Band
  -Lower Band
Negative Directional Index (-DI)
Negative Directional Movement (-DM)
On Balance Volume
Positive Directional Index (+DI)
Positive Directional Movement (+DM)
Price Channels
  -Upper Price Channel
  -Lower Price Channel
Price Oscillator
Simple Moving Average
Smoothed Moving Average
Standard Deviation
Standard Variance
Rate of Change
Relative Strength Index
Triangular Moving Average
Triple Exponential Moving Average
True Range
Typical Price
Ultimate Oscillator
Vertical Horizontal Filter
Volume Adjusted Moving Average
Volume Index
  -Positive Volume Index
  -Negative Volume Index
Volume Oscillator
Weighted Moving Average
Williams %R

Install using pip:

pip install pyti

Simple example usage of library: ```python from pyti.exponentialmovingaverage import exponentialmovingaverage as ema

data = [6, 7, 3, 6, 3, 9, 5] period = 2 res = ema(data, period)

res = [np.nan, 6.75, 4.0, 5.25, 3.75, 7.5, 6.0]

Running the whole test suite using tox:

tox ```

To run tests for just Python 2.7 use

tox -e py27 tests
or just for Python 3.6
tox -e py36 tests

To specifically run one test in a specific Python version:

tox -e py36 -- tests/test_file_you_want_to_test:TestClassName.test_method_name

If there is an indicator that you would like to see added or believe there is an error in one of the existing ones, feel free to submit it to Issues. If you would like to add your own indicator, fork the project and submit a pull request. Contributions are always welcome.

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.