https://github.com/ntakouris/tf-technical-indicators

Technical Indicators as TensorFlow Graph Functions
https://github.com/ntakouris/tf-technical-indicators

finance technical-analysis technical-indicators tensorflow

Last synced: 6 months ago
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Technical Indicators as TensorFlow Graph Functions

• Host: GitHub
• URL: https://github.com/ntakouris/tf-technical-indicators
• Owner: ntakouris
• License: mit
• Created: 2020-08-03T08:17:22.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-08-13T10:31:01.000Z (almost 6 years ago)
• Last Synced: 2025-10-13T09:44:23.539Z (9 months ago)
• Topics: finance, technical-analysis, technical-indicators, tensorflow
• Language: Python
• Homepage: https://pypi.org/project/tensorflow-technical-indicators/
• Size: 25.4 KB
• Stars: 8
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

          
# tensorflow-technical-indicators

Technical Indicators as TF Graph Functions!

    - Compatible with the rest of the tensorflow ecosystem

    - Super fast as tensorflow graph code

`pip install tensorflow-technical-indicators`

[![PyPI version](https://badge.fury.io/py/tensorflow-technical-indicators.svg)](https://badge.fury.io/py/tensorflow-technical-indicators)

![Tests](https://github.com/ntakouris/tf-technical-indicators/workflows/Test%20Python%20Package/badge.svg)

(Coverage % is bad because tf graphs are not traced, only the `@tf.function`)

[![codecov](https://codecov.io/gh/ntakouris/tf-technical-indicators/branch/master/graph/badge.svg)](https://codecov.io/gh/ntakouris/tf-technical-indicators)

## Usage

```python

import tensorflow_technical_indicators as tfti

# assuming your tensors have dimensions: (time step, features[ohlcv])

# where candles[:, 0] is open, candles[:, 1] high, etc..

candles = [...]

# you can get

c = tfti.features.close(candles)

rsi = tfti.rsi(candles=c, window_size=7, method='ema')

# you can also pass multidimensional tensors with (time step, features)

# where features = open, close

# to calculate some indicator for both open and close

result = tfti.indicator(candles, ..params..)

# in general

# tfti.(parameters)

# check the list below to find indicator names

```

## List of Indicators

```python

from tensorflow_technical_indicators import 

```

| Indicator                 | Implementation               |

| :------------------------ | :--------------------------- |

| SMA                       | `simple_moving_average`      |

| EMA                       | `exponential_moving_average` |

| RSI                       | `rsi`                        |

| MACD                      | `macd`                       |

| Stochastic Oscillator     |                              |

| Bolliger Bands            |                              |

| Fibonacci Retractment     |                              |

| Ichimoku Cloud            |                              |

| Standard Deviation        |                              |

| Average Directional Index |                              |

| More                      | To Come                      |

Need more indicators? Open up a pull request or open an issue :).