# Buggy code
def start_hyperopt_list(args: Dict[str, Any]) -> None:
    """
    List hyperopt epochs previously evaluated
    """
    from freqtrade.optimize.hyperopt import Hyperopt

    config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)

    only_best = config.get("hyperopt_list_best", False)
    only_profitable = config.get("hyperopt_list_profitable", False)
    print_colorized = config.get("print_colorized", False)
    print_json = config.get("print_json", False)
    no_details = config.get("hyperopt_list_no_details", False)
    no_header = False

    trials_file = (
        config["user_data_dir"] / "hyperopt_results" / "hyperopt_results.pickle"
    )

    # Previous evaluations
    trials = Hyperopt.load_previous_results(trials_file)
    total_epochs = len(trials)

    trials = _hyperopt_filter_trials(trials, only_best, only_profitable)

    # TODO: fetch the interval for epochs to print from the cli option
    epoch_start, epoch_stop = 0, None

    if print_colorized:
        colorama_init(autoreset=True)

    try:
        # Human-friendly indexes used here (starting from 1)
        for val in trials[epoch_start:epoch_stop]:
            Hyperopt.print_results_explanation(
                val, total_epochs, not only_best, print_colorized
            )

    except KeyboardInterrupt:
        print("User interrupted..")

    if trials and not no_details:
        sorted_trials = sorted(trials, key=itemgetter("loss"))
        results = sorted_trials[0]
        Hyperopt.print_epoch_details(results, total_epochs, print_json, no_header)


# 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 start_hyperopt_list(args: Dict[str, Any]) -> None:
    """
    List hyperopt epochs previously evaluated
    """
    from freqtrade.optimize.hyperopt import Hyperopt

    config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)

    print_colorized = config.get("print_colorized", False)
    print_json = config.get("print_json", False)
    no_details = config.get("hyperopt_list_no_details", False)
    no_header = False

    filteroptions = {
        "only_best": config.get("hyperopt_list_best", False),
        "only_profitable": config.get("hyperopt_list_profitable", False),
        "filter_min_trades": config.get("hyperopt_list_min_trades", 0),
        "filter_max_trades": config.get("hyperopt_list_max_trades", 0),
        "filter_min_avg_time": config.get("hyperopt_list_min_avg_time", None),
        "filter_max_avg_time": config.get("hyperopt_list_max_avg_time", None),
        "filter_min_avg_profit": config.get("hyperopt_list_min_avg_profit", None),
        "filter_max_avg_profit": config.get("hyperopt_list_max_avg_profit", None),
        "filter_min_total_profit": config.get("hyperopt_list_min_total_profit", None),
        "filter_max_total_profit": config.get("hyperopt_list_max_total_profit", None),
    }

    trials_file = (
        config["user_data_dir"] / "hyperopt_results" / "hyperopt_results.pickle"
    )

    # Previous evaluations
    trials = Hyperopt.load_previous_results(trials_file)
    total_epochs = len(trials)

    trials = _hyperopt_filter_trials(trials, filteroptions)

    # TODO: fetch the interval for epochs to print from the cli option
    epoch_start, epoch_stop = 0, None

    if print_colorized:
        colorama_init(autoreset=True)

    try:
        # Human-friendly indexes used here (starting from 1)
        for val in trials[epoch_start:epoch_stop]:
            Hyperopt.print_results_explanation(
                val, total_epochs, not filteroptions["only_best"], print_colorized
            )

    except KeyboardInterrupt:
        print("User interrupted..")

    if trials and not no_details:
        sorted_trials = sorted(trials, key=itemgetter("loss"))
        results = sorted_trials[0]
        Hyperopt.print_epoch_details(results, total_epochs, print_json, no_header)