The BBMCE2 trading strategy is implemented as a class that inherits from the IStrategy class. It involves several technical indicators and conditions to determine entry and exit points for trading. Here's a brief overview:
Indicator Calculation (populate_indicators method):
Moving Averages: Calculates Simple Moving Average (SMA) with periods 15.
Relative Strength Index (RSI): Calculates RSI with periods 14, 4, and 20.
Average Directional Index (ADX): Computes ADX.
Stochastic Oscillator: Computes fast %K and %D values using Stochastic indicator with a window of 14. Custom Trend Index (CTI): Calculates a custom trend index using a rolling mean of the close price. Other indicators like TEMA, PLUS_DI, MINUS_DI, MFI, EMA, Williams %R, EWO (Elliott Wave Oscillator), etc., are computed. Entry Conditions (populate_entry_trend method): Multiple conditions are checked for different trading scenarios, including COFI, EWO, and NFI_32. For each condition met, an associated tag is added to the 'enter_tag' column. If any of the conditions are met, the 'enter_long' column is set to 1, indicating a potential entry. Exit Conditions (populate_exit_trend method): Exit conditions are determined, including a fast %K crossover. Similar to the entry conditions, an associated tag is added to the 'exit_tag' column for each condition met. If any exit condition is satisfied, the 'exit_long' column is set to 1, indicating a potential exit. Leverage Calculation (get_leverage method): This method calculates the proposed leverage based on the 'leverage_num' parameter. The strategy appears to involve a combination of various technical indicators and their respective threshold-based conditions to determine potential entry and exit points. These conditions consider factors like moving averages, oscillators, trend indices, and more to make trading decisions. Please note that while this description provides an overview of the strategy's functionality, the actual effectiveness of the strategy can only be determined through thorough backtesting and evaluation.
Relative Strength Index (RSI): Calculates RSI with periods 14, 4, and 20.
Average Directional Index (ADX): Computes ADX.
Stochastic Oscillator: Computes fast %K and %D values using Stochastic indicator with a window of 14. Custom Trend Index (CTI): Calculates a custom trend index using a rolling mean of the close price. Other indicators like TEMA, PLUS_DI, MINUS_DI, MFI, EMA, Williams %R, EWO (Elliott Wave Oscillator), etc., are computed. Entry Conditions (populate_entry_trend method): Multiple conditions are checked for different trading scenarios, including COFI, EWO, and NFI_32. For each condition met, an associated tag is added to the 'enter_tag' column. If any of the conditions are met, the 'enter_long' column is set to 1, indicating a potential entry. Exit Conditions (populate_exit_trend method): Exit conditions are determined, including a fast %K crossover. Similar to the entry conditions, an associated tag is added to the 'exit_tag' column for each condition met. If any exit condition is satisfied, the 'exit_long' column is set to 1, indicating a potential exit. Leverage Calculation (get_leverage method): This method calculates the proposed leverage based on the 'leverage_num' parameter. The strategy appears to involve a combination of various technical indicators and their respective threshold-based conditions to determine potential entry and exit points. These conditions consider factors like moving averages, oscillators, trend indices, and more to make trading decisions. Please note that while this description provides an overview of the strategy's functionality, the actual effectiveness of the strategy can only be determined through thorough backtesting and evaluation.
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 152, in pandas._libs.index.IndexEngine.get_loc File "index.pyx", line 181, in pandas._libs.index.IndexEngine.get_loc File "pandas/_libs/hashtable_class_helper.pxi", line 7080, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas/_libs/hashtable_class_helper.pxi", line 7088, in pandas._libs.hashtable.PyObjectHashTable.get_item KeyError: 'EWO' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/freqtrade/freqtrade/main.py", line 42, in main return_code = args['func'](args) ^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/commands/optimize_commands.py", line 58, in start_backtesting backtesting.start() File "/freqtrade/freqtrade/optimize/backtesting.py", line 1401, in start min_date, max_date = self.backtest_one_strategy(strat, data, timerange) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/optimize/backtesting.py", line 1318, in backtest_one_strategy preprocessed = self.strategy.advise_all_indicators(data) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1378, in advise_all_indicators return {pair: self.advise_indicators(pair_data.copy(), {'pair': pair}).copy() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1378, inreturn {pair: self.advise_indicators(pair_data.copy(), {'pair': pair}).copy() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1410, in advise_indicators return self.populate_indicators(dataframe, metadata) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/user_data/strategies/BBMCE2.py", line 157, in populate_indicators ((dataframe['EWO'] > 5.6) & ~~~~~~~~~^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/frame.py", line 3893, in __getitem__ indexer = self.columns.get_loc(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: 'EWO'
stoploss: -0.99 timeframe: 5m hash(sha256): 993b48fcec8e97f3acb7e3db20c84ec41428bb0cbb0d771aa7c16ebca4b3f68d indicators: upper EWO pct_change_int_short ispumping close cti_mean pct_change_short plus_dibad mfi isshortpumping pct_change fastk rsi_fast r_14 bb_middleband2 hlc3 open plus_di fastd open_ok sma_15 pct_change_int bb_upperband2 islongpumping lambo2cti high fast_d mid ewobad bb_width ema_8 ema_16 TEMA buy buy_tag cti roc_1h recentispumping adx roc lower rsi_slow minus_di rsi fast_k low bb_lowerband2 bb_width_1h
Similar Strategies: (based on used indicators)
Strategy: BBMCE, Similarity Score: 97.96%
last change: 2024-05-05 08:47:47