The MKPmaxDcaStrategyV1_0 strategy is a trading strategy implemented in a backtesting website. Here's a short description of what the strategy does:
The strategy uses various indicators and conditions to generate buy and sell signals for trading. It populates indicators such as PMAX, RSI (Relative Strength Index), and others on the provided dataframe.
For the entry trend, it looks for specific conditions to generate a buy signal.
These conditions include the crossover of MA_1_9 and pm_10_27_9_1, MA_1_9 being greater than pm_10_27_9_1, positive volume, and/or RSI crossing above a specified buy_rsi value.
Similarly, for the exit trend, it searches for conditions to generate a sell signal. The conditions include the crossover of MA_1_9 below pm_10_27_9_1 and positive volume. The strategy includes functions for stake calculation, handling locked pairs, obtaining last and previous candles for a given pair and timeframe, determining stake amount based on filled buy orders, custom stop loss, and determining exit reasons. The strategy also includes functions for time in force, leverage calculation, and others. Please note that the provided code snippets contain commented out sections that may affect the strategy's behavior.
For the entry trend, it looks for specific conditions to generate a buy signal.
These conditions include the crossover of MA_1_9 and pm_10_27_9_1, MA_1_9 being greater than pm_10_27_9_1, positive volume, and/or RSI crossing above a specified buy_rsi value.
Similarly, for the exit trend, it searches for conditions to generate a sell signal. The conditions include the crossover of MA_1_9 below pm_10_27_9_1 and positive volume. The strategy includes functions for stake calculation, handling locked pairs, obtaining last and previous candles for a given pair and timeframe, determining stake amount based on filled buy orders, custom stop loss, and determining exit reasons. The strategy also includes functions for time in force, leverage calculation, and others. Please note that the provided code snippets contain commented out sections that may affect the strategy's behavior.
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: 'MA_1_9' 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/MKPmaxDcaStrategyV1_0.py", line 142, in populate_indicators dataframe['PMAXRES'] = dataframe['MA_1_9'] / dataframe['pm_10_27_9_1'] ~~~~~~~~~^^^^^^^^^^ 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: 'MA_1_9'
stoploss: 0 timeframe: 1m hash(sha256): 4de59e016d54b7540e147bcdb5551385cfa7c80d34f239e4ed3f6a602aaba4b0 indicators: buy_dca_percent tema MA_1_9 close exit_long exit_tag buy_max_dca_orders volume pm_10_27_9_1 buy_exit_profit_only buy_dca_koe buy_rsi params PMAX buy buy_max_dca_multiplier stoploss main_plot rsi enter_long enter_tag bb_middleband RSI buy_ignore_roi_if_entry_signal subplots PMAXRES
No similar strategies found. (based on used indicators)
last change: 2024-04-14 04:21:45