# Buggy code
def _hyperopt_filter_trials(
    trials: List, only_best: bool, only_profitable: bool
) -> List:
    """
    Filter our items from the list of hyperopt results
    """
    if only_best:
        trials = [x for x in trials if x["is_best"]]
    if only_profitable:
        trials = [x for x in trials if x["results_metrics"]["profit"] > 0]

    logger.info(
        f"{len(trials)} "
        + ("best " if only_best else "")
        + ("profitable " if only_profitable else "")
        + "epochs found."
    )

    return trials


# Traceback (Exception)
2020-02-20 22:47:28,025 - freqtrade - ERROR - Fatal exception!
Traceback (most recent call last):
File "/opt/tradebot/freqtrade/.env/lib/python3.7/site-packages/talib/__init__.py", line 20, in wrapper
for arg in chain(args, kwargs.values())
StopIteration

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/freqtrade/freqtrade/main.py", line 36, in main
return_code = args['func'](args)
File "/freqtrade/freqtrade/commands/optimize_commands.py", line 76, in start_hyperopt
hyperopt.start()
File "/freqtrade/freqtrade/optimize/hyperopt.py", line 488, in start
preprocessed = self.backtesting.strategy.tickerdata_to_dataframe(data)
File "/freqtrade/freqtrade/strategy/interface.py", line 448, in tickerdata_to_dataframe
for pair, pair_data in tickerdata.items()}
File "/freqtrade/freqtrade/strategy/interface.py", line 448, in <dictcomp>
for pair, pair_data in tickerdata.items()}
File "/freqtrade/freqtrade/strategy/interface.py", line 464, in advise_indicators
return self.populate_indicators(dataframe, metadata)
File "/freqtrade/user_data/strategies/MyDev.py", line 205, in populate_indicators
dataframe['mfi'] = ta.MFI(dataframe)
File "talib/_abstract.pxi", line 352, in talib._ta_lib.Function.__call__
File "talib/_abstract.pxi", line 383, in talib._ta_lib.Function.__call_function
File "/opt/tradebot/freqtrade/.env/lib/python3.7/site-packages/talib/__init__.py", line 24, in wrapper
return func(*args, **kwargs)
File "talib/_func.pxi", line 8454, in talib._ta_lib.MFI
Exception: volume is not double

# Fixed code
def _hyperopt_filter_trials(trials: List, filteroptions: dict) -> List:
    """
    Filter our items from the list of hyperopt results
    """
    if filteroptions["only_best"]:
        trials = [x for x in trials if x["is_best"]]
    if filteroptions["only_profitable"]:
        trials = [x for x in trials if x["results_metrics"]["profit"] > 0]
    if filteroptions["filter_min_trades"] > 0:
        trials = [
            x
            for x in trials
            if x["results_metrics"]["trade_count"] > filteroptions["filter_min_trades"]
        ]
    if filteroptions["filter_max_trades"] > 0:
        trials = [
            x
            for x in trials
            if x["results_metrics"]["trade_count"] < filteroptions["filter_max_trades"]
        ]
    if filteroptions["filter_min_avg_time"] is not None:
        trials = [x for x in trials if x["results_metrics"]["trade_count"] > 0]
        trials = [
            x
            for x in trials
            if x["results_metrics"]["duration"] > filteroptions["filter_min_avg_time"]
        ]
    if filteroptions["filter_max_avg_time"] is not None:
        trials = [x for x in trials if x["results_metrics"]["trade_count"] > 0]
        trials = [
            x
            for x in trials
            if x["results_metrics"]["duration"] < filteroptions["filter_max_avg_time"]
        ]
    if filteroptions["filter_min_avg_profit"] is not None:
        trials = [x for x in trials if x["results_metrics"]["trade_count"] > 0]
        trials = [
            x
            for x in trials
            if x["results_metrics"]["avg_profit"]
            > filteroptions["filter_min_avg_profit"]
        ]
    if filteroptions["filter_max_avg_profit"] is not None:
        trials = [x for x in trials if x["results_metrics"]["trade_count"] > 0]
        trials = [
            x
            for x in trials
            if x["results_metrics"]["avg_profit"]
            < filteroptions["filter_max_avg_profit"]
        ]
    if filteroptions["filter_min_total_profit"] is not None:
        trials = [x for x in trials if x["results_metrics"]["trade_count"] > 0]
        trials = [
            x
            for x in trials
            if x["results_metrics"]["profit"] > filteroptions["filter_min_total_profit"]
        ]
    if filteroptions["filter_max_total_profit"] is not None:
        trials = [x for x in trials if x["results_metrics"]["trade_count"] > 0]
        trials = [
            x
            for x in trials
            if x["results_metrics"]["profit"] < filteroptions["filter_max_total_profit"]
        ]

    logger.info(
        f"{len(trials)} "
        + ("best " if filteroptions["only_best"] else "")
        + ("profitable " if filteroptions["only_profitable"] else "")
        + "epochs found."
    )

    return trials