How to use the technical.exchange.TICKER_INTERVAL_MINUTES function in technical

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github freqtrade / technical / technical / util.py View on Github external
:param dataframe:
    :param exchange_interval: should we convert the result to an exchange interval or just a number
    :return:
    """
    res_interval = int((dataframe['date'] - dataframe['date'].shift()).min().total_seconds() // 60)

    if exchange_interval:
        # convert to our allowed ticker values
        from technical.exchange import TICKER_INTERVAL_MINUTES
        converted = list(TICKER_INTERVAL_MINUTES.keys())[
            list(TICKER_INTERVAL_MINUTES.values()).index(exchange_interval)]
        if len(converted) > 0:
            return converted
        else:
            raise Exception(
                f"sorry, your interval of {res_interval} is not "
                f"supported in {TICKER_INTERVAL_MINUTES}")

    return res_interval
github freqtrade / technical / technical / util.py View on Github external
def resample_to_interval(dataframe, interval):
    if isinstance(interval, str):
        interval = TICKER_INTERVAL_MINUTES[interval]

    """
        resamples the given dataframe to the desired interval.
        Please be aware you need to upscale this to join the results
        with the other dataframe

    :param dataframe: dataframe containing close/high/low/open/volume
    :param interval: to which ticker value in minutes would you like to resample it
    :return:
    """

    df = dataframe.copy()
    df = df.set_index(DatetimeIndex(df['date']))
    ohlc_dict = {
        'open': 'first',
        'high': 'max',