How to use the freqtrade.strategy.interface.IStrategy function in freqtrade

# This script is 1 of a pair the other being freqtrade_backtest_validation_tradingview1
# These should be executed on their respective platforms for the same coin/period/resolution
# The purpose is to test Freqtrade backtest provides like results to a known industry platform.
#
# --- Do not remove these libs ---
from freqtrade.strategy.interface import IStrategy
from pandas import DataFrame
# --------------------------------

# Add your lib to import here
import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib
import numpy


class Freqtrade_backtest_validation_freqtrade1(IStrategy):
    # Minimal ROI designed for the strategy.
    minimal_roi = {
        "40": 2.0,
        "30": 2.01,
        "20": 2.02,
        "0": 2.04
    }

    stoploss = -09.90
    ticker_interval = '1h'

    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        # SMA - Simple Moving Average
        dataframe['fastMA'] = ta.SMA(dataframe, timeperiod=14)
        dataframe['slowMA'] = ta.SMA(dataframe, timeperiod=28)
        return dataframe

def test_search_strategy():
    default_config = {}
    default_location = Path(__file__).parent.parent.joinpath('strategy').resolve()

    s, _ = StrategyResolver._search_object(
        directory=default_location,
        object_type=IStrategy,
        kwargs={'config': default_config},
        object_name='DefaultStrategy'
    )
    assert isinstance(s, IStrategy)

    s, _ = StrategyResolver._search_object(
        directory=default_location,
        object_type=IStrategy,
        kwargs={'config': default_config},
        object_name='NotFoundStrategy'
    )
    assert s is None

logger.info("loading base64 encoded strategy")
            strat = strategy_name.split(":")

            if len(strat) == 2:
                temp = Path(tempfile.mkdtemp("freq", "strategy"))
                name = strat[0] + ".py"

                temp.joinpath(name).write_text(urlsafe_b64decode(strat[1]).decode('utf-8'))
                temp.joinpath("__init__.py").touch()

                strategy_name = strat[0]

                # register temp path with the bot
                abs_paths.insert(0, temp.resolve())

        strategy = IResolver._load_object(paths=abs_paths, object_type=IStrategy,
                                          object_name=strategy_name, kwargs={'config': config})
        if strategy:
            strategy._populate_fun_len = len(getfullargspec(strategy.populate_indicators).args)
            strategy._buy_fun_len = len(getfullargspec(strategy.populate_buy_trend).args)
            strategy._sell_fun_len = len(getfullargspec(strategy.populate_sell_trend).args)
            if any([x == 2 for x in [strategy._populate_fun_len,
                                     strategy._buy_fun_len,
                                     strategy._sell_fun_len]]):
                strategy.INTERFACE_VERSION = 1

            return strategy

        raise OperationalException(
            f"Impossible to load Strategy '{strategy_name}'. This class does not exist "
            "or contains Python code errors."

from functools import reduce
from pandas import DataFrame
# --------------------------------

import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib
from typing import Dict, List
from functools import reduce
from pandas import DataFrame, DatetimeIndex, merge
# --------------------------------

import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib
import numpy  # noqa

class ReinforcedQuickie(IStrategy):
    """

    author@: Gert Wohlgemuth

    works on new objectify branch!

    idea:
        only buy on an upward tending market
    """

    # Minimal ROI designed for the strategy.
    # This attribute will be overridden if the config file contains "minimal_roi"
    minimal_roi = {
        "0": 0.01
    }

# --- Do not remove these libs ---
from freqtrade.strategy.interface import IStrategy
from pandas import DataFrame
import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib


# --------------------------------


class AdxSmas(IStrategy):
    """

    author@: Gert Wohlgemuth

    converted from:

    https://github.com/sthewissen/Mynt/blob/master/src/Mynt.Core/Strategies/AdxSmas.cs

    """

    # Minimal ROI designed for the strategy.
    # adjust based on market conditions. We would recommend to keep it low for quick turn arounds
    # This attribute will be overridden if the config file contains "minimal_roi"
    minimal_roi = {
        "0": 0.1
    }

# --- Do not remove these libs ---
from freqtrade.strategy.interface import IStrategy
from typing import Dict, List
from functools import reduce
from pandas import DataFrame
# --------------------------------

import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib

class Strategy001(IStrategy):
    """
    Strategy 001
    author@: Gerald Lonlas
    github@: https://github.com/freqtrade/freqtrade-strategies

    How to use it?
    > python3 ./freqtrade/main.py -s Strategy001
    """

    # Minimal ROI designed for the strategy.
    # This attribute will be overridden if the config file contains "minimal_roi"
    minimal_roi = {
        "60":  0.01,
        "30":  0.03,
        "20":  0.04,
        "0":  0.05

def _get_valid_strategies(module_path: str, strategy_name: str) -> Optional[Type[IStrategy]]:
        """
        Returns a list of all possible strategies for the given module_path
        :param module_path: absolute path to the module
        :param strategy_name: Class name of the strategy
        :return: Tuple with (name, class) or None
        """

        # Generate spec based on absolute path
        spec = importlib.util.spec_from_file_location('unknown', module_path)
        module = importlib.util.module_from_spec(spec)
        spec.loader.exec_module(module)  # type: ignore # importlib does not use typehints

        valid_strategies_gen = (
            obj for name, obj in inspect.getmembers(module, inspect.isclass)
            if strategy_name == name and IStrategy in obj.__bases__
        )
        return next(valid_strategies_gen, None)

# --- Do not remove these libs ---
from freqtrade.strategy.interface import IStrategy
from typing import Dict, List
from functools import reduce
from pandas import DataFrame
# --------------------------------

import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib


class ASDTSRockwellTrading(IStrategy):
    """
    trading strategy based on the concept explained at https://www.youtube.com/watch?v=mmAWVmKN4J0
    author@: Gert Wohlgemuth

    idea:

        uptrend definition:
            MACD above 0 line AND above MACD signal


        downtrend definition:
            MACD below 0 line and below MACD signal

        sell definition:
            MACD below MACD signal

# --- Do not remove these libs ---
from freqtrade.strategy.interface import IStrategy
from typing import Dict, List
from functools import reduce
from pandas import DataFrame
# --------------------------------

import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib


class MACDStrategy_crossed(IStrategy):
    """
        buy:
            MACD crosses MACD signal above
            and CCI < -50
        sell:
            MACD crosses MACD signal below
            and CCI > 100
    """

    # Minimal ROI designed for the strategy.
    # This attribute will be overridden if the config file contains "minimal_roi"
    minimal_roi = {
        "60":  0.01,
        "30":  0.03,
        "20":  0.04,
        "0":  0.05

# pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement

import talib.abstract as ta
from pandas import DataFrame

import freqtrade.vendor.qtpylib.indicators as qtpylib
from freqtrade.strategy.interface import IStrategy


class DefaultStrategy(IStrategy):
    """
    Default Strategy provided by freqtrade bot.
    Please do not modify this strategy, it's  intended for internal use only.
    Please look at the SampleStrategy in the user_data/strategy directory
    or strategy repository https://github.com/freqtrade/freqtrade-strategies
    for samples and inspiration.
    """
    INTERFACE_VERSION = 2

    # Minimal ROI designed for the strategy
    minimal_roi = {
        "40": 0.0,
        "30": 0.01,
        "20": 0.02,
        "0": 0.04
    }