The Ichi_trigger_v2 strategy is a trading strategy that utilizes the Ichimoku Cloud indicator to generate buy and sell signals. Here's a breakdown of what the strategy does:
populate_indicators function: This function is responsible for populating the indicators used in the strategy. It takes a DataFrame of price data and additional metadata as input and returns the updated DataFrame with the calculated indicators.
If the strategy is running in backtest or hyperopt mode, it checks that the timeframe is either 5 minutes or 1 minute.
populate_buy_trend function: This function populates the buy signals in the DataFrame based on certain conditions.
It compares the 'bs_pic_sig' indicator with the 'pic_l_s_trig' indicator and assigns a value of 1 to the 'buy' column in the DataFrame for the rows where the condition is true. populate_sell_trend function: Similar to the populate_buy_trend function, this function populates the sell signals in the DataFrame. It compares the 'bs_pic_sig' indicator with the 'pic_l_s_trig' indicator and assigns a value of 1 to the 'sell' column for the rows where the condition is true. Overall, the strategy uses the Ichimoku Cloud indicators to determine buy and sell signals based on the comparison between the 'bs_pic_sig' and 'pic_l_s_trig' indicators. The populated buy and sell signals can be used to execute trades or analyze the performance of the strategy.
If the strategy is running in backtest or hyperopt mode, it checks that the timeframe is either 5 minutes or 1 minute.
populate_buy_trend function: This function populates the buy signals in the DataFrame based on certain conditions.
It compares the 'bs_pic_sig' indicator with the 'pic_l_s_trig' indicator and assigns a value of 1 to the 'buy' column in the DataFrame for the rows where the condition is true. populate_sell_trend function: Similar to the populate_buy_trend function, this function populates the sell signals in the DataFrame. It compares the 'bs_pic_sig' indicator with the 'pic_l_s_trig' indicator and assigns a value of 1 to the 'sell' column for the rows where the condition is true. Overall, the strategy uses the Ichimoku Cloud indicators to determine buy and sell signals based on the comparison between the 'bs_pic_sig' and 'pic_l_s_trig' indicators. The populated buy and sell signals can be used to execute trades or analyze the performance of the strategy.
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: 'cskh_sig_w' 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/Discord_Ichi_trigger_v2.py", line 129, in populate_indicators informative = self.do_indicators(informative.copy(), metadata) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/user_data/strategies/Discord_Ichi_trigger_v2.py", line 107, in do_indicators dataframe['tkkh_sig_w'], dataframe['csh_sig_w'], dataframe['cskh_sig_w'], dataframe['ptk_sig_w'], ~~~~~~~~~^^^^^^^^^^^^^^ 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: 'cskh_sig_w'
stoploss: -0.99 timeframe: 5m hash(sha256): a72f3d3c50c3ecfdfbc2a1d4ad9c677f1e1e4fd05f389baf219f8dcc4bd0220d indicators: close cskh_sig_w senkou_a csh_sig_w tenkan_sen cloud_red tkkj_sig_w ptk_sig_w tenkan_sen_1h leading_senkou_span_a leading_senkou_span_b sasb_sig_w kijun_sen high tkkh_sig_w senkou_span_a ckh_sig_w kumo_high senkou_b kumo_low bs_pic_sig pkj_sig_w senkou_span_b cloud_green runmode low pic_l_s_trig
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last change: 2024-04-29 01:09:36