The AwesomeStrategy is a trading strategy implemented as a class that follows the IStrategy interface. Here is a brief description of what the strategy does:
populate_indicators: This method populates indicators for the trading strategy based on the given DataFrame and metadata. It performs calculations and transformations on the data and returns the updated DataFrame.
populate_buy_trend: This method identifies buy signals in the DataFrame based on specific conditions.
It assigns a value of 1 to the "buy" column in the DataFrame for rows that meet the buy criteria.
populate_sell_trend: This method identifies sell signals in the DataFrame based on specific conditions. It assigns a value of 1 to the "sell" column in the DataFrame for rows that meet the sell criteria. Custom Stoploss: This part of the strategy calculates the current duration of a trade and checks if it should be stopped out based on certain conditions. If the stop loss conditions are met, it returns a small value to indicate that the trade should be closed. Freqtrade ROI Overload: This section calculates the minimal return on investment (ROI) and table ROI for a trade. It checks if there is custom trade information available and determines the ROI based on various factors such as trade duration, trends, and profit ratios. Overall, the AwesomeStrategy class is designed to generate buy and sell signals based on specific conditions and apply custom stop loss and ROI calculations to manage trades.
populate_buy_trend: This method identifies buy signals in the DataFrame based on specific conditions.
It assigns a value of 1 to the "buy" column in the DataFrame for rows that meet the buy criteria.
populate_sell_trend: This method identifies sell signals in the DataFrame based on specific conditions. It assigns a value of 1 to the "sell" column in the DataFrame for rows that meet the sell criteria. Custom Stoploss: This part of the strategy calculates the current duration of a trade and checks if it should be stopped out based on certain conditions. If the stop loss conditions are met, it returns a small value to indicate that the trade should be closed. Freqtrade ROI Overload: This section calculates the minimal return on investment (ROI) and table ROI for a trade. It checks if there is custom trade information available and determines the ROI based on various factors such as trade duration, trends, and profit ratios. Overall, the AwesomeStrategy class is designed to generate buy and sell signals based on specific conditions and apply custom stop loss and ROI calculations to manage trades.
Traceback (most recent call last): File "index.pyx", line 598, in pandas._libs.index.DatetimeEngine.get_loc File "pandas/_libs/hashtable_class_helper.pxi", line 2606, in pandas._libs.hashtable.Int64HashTable.get_item File "pandas/_libs/hashtable_class_helper.pxi", line 2630, in pandas._libs.hashtable.Int64HashTable.get_item KeyError: 1709312460000000000 During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexes/base.py", line 3791, in get_loc return self._engine.get_loc(casted_key) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "index.pyx", line 566, in pandas._libs.index.DatetimeEngine.get_loc File "index.pyx", line 600, in pandas._libs.index.DatetimeEngine.get_loc KeyError: Timestamp('2024-03-01 17:01:00+0000', tz='UTC') The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexes/datetimes.py", line 631, in get_loc return Index.get_loc(self, key) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexes/base.py", line 3798, in get_loc raise KeyError(key) from err KeyError: Timestamp('2024-03-01 17:01:00+0000', tz='UTC') The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/freqtrade/freqtrade/strategy/strategy_wrapper.py", line 27, in wrapper return f(*args, **kwargs) ^^^^^^^^^^^^^^^^^^ File "/freqtrade/user_data/strategies/Discord_AwesomeStrategy.py", line 393, in custom_stoploss sroc = self.custom_trade_info[trade.pair]['sroc'].loc[current_time]['sroc'] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexing.py", line 1153, in __getitem__ return self._getitem_axis(maybe_callable, axis=axis) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexing.py", line 1393, in _getitem_axis return self._get_label(key, axis=axis) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexing.py", line 1343, in _get_label return self.obj.xs(label, axis=axis) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/generic.py", line 4236, in xs loc = index.get_loc(key) ^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexes/datetimes.py", line 633, in get_loc raise KeyError(orig_key) from err KeyError: datetime.datetime(2024, 3, 1, 17, 1, tzinfo=datetime.timezone.utc)
stoploss: -0.234 timeframe: 5m hash(sha256): 992acea197a6469a7632e83f4a0f98630212f16c18f3a69e4aa368e04f02f1b8 indicators: upper close HA_Close bb_lowerband date candleuptrend HA_High volume smaHigh sslDown DI high sslUp emac date sroc atr adx hhlow roc time any runmode HA_Open HA_Close low open close low Smooth_HA_C active_trade emao_1h sqzmi maxdown Smooth_HA_L srsi_k rmiuptrend date roc candleuptrend hlv lower roc rsi emac_1h HA_Low date open high low close volume emac emao srsi_d hhopen mfi date ssldir candleup price_side ATR dmi_minus maxup emao sar smaLow ssldir mid bb_width Smooth_HA_H hhclose hhhigh bb_middl
Similar Strategies: (based on used indicators)
Strategy: Discord_3_CryptoFrog, Similarity Score: 98.67%
Strategy: Discord_2_CryptoFrog, Similarity Score: 96%
Strategy: CryptoFrog, Similarity Score: 94.67%
Strategy: CryptoFrogHO3A4, Similarity Score: 94.67%
Strategy: CryptoFrog_205, Similarity Score: 94.67%
Strategy: Discord_CryptoFrog1, Similarity Score: 80%
last change: 2024-04-29 21:27:01