tensorflow-technical-indicators-0.1.2.tar.gz

# 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` [](https://badge.fury.io/py/tensorflow-technical-indicators)  (Coverage % is bad because tf graphs are not traced, only the `@tf.function`) [](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.<indicator>(parameters) # check the list below to find indicator names ``` ## List of Indicators ```python from tensorflow_technical_indicators import <indicator> ``` | 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 :).