The NASOSv4 strategy is a trading strategy that aims to generate buy and sell signals for financial assets. The strategy uses various indicators and conditions to determine when to enter and exit positions. In the "populate_indicators" method, the strategy populates the required indicators for analysis.
It merges informative data from the 1-hour timeframe with the current timeframe data, using the "merge_informative_pair" function.
The "populate_buy_trend" method is responsible for generating buy signals.
It sets certain conditions based on indicators such as RSI (Relative Strength Index), EWO (Elliott Wave Oscillator), moving averages, and volume. If these conditions are met, the strategy sets the "buy" signal to 1 and assigns a corresponding tag. The strategy has multiple buy conditions with different parameter values, denoted by "ewo1," "ewo2," and "ewolow." Each condition specifies different requirements for the indicators to trigger a buy signal. If any of the conditions in the "dont_buy_conditions" list are met, the strategy overrides the buy signal and sets it to 0. The "populate_sell_trend" method generates sell signals based on conditions. The conditions involve comparing the current close price with moving averages, RSI, and volume. If any of the conditions are met, the strategy sets the "sell" signal to 1. Overall, the NASOSv4 strategy combines multiple technical indicators and conditions to generate buy and sell signals for trading assets.
It merges informative data from the 1-hour timeframe with the current timeframe data, using the "merge_informative_pair" function.
The "populate_buy_trend" method is responsible for generating buy signals.
It sets certain conditions based on indicators such as RSI (Relative Strength Index), EWO (Elliott Wave Oscillator), moving averages, and volume. If these conditions are met, the strategy sets the "buy" signal to 1 and assigns a corresponding tag. The strategy has multiple buy conditions with different parameter values, denoted by "ewo1," "ewo2," and "ewolow." Each condition specifies different requirements for the indicators to trigger a buy signal. If any of the conditions in the "dont_buy_conditions" list are met, the strategy overrides the buy signal and sets it to 0. The "populate_sell_trend" method generates sell signals based on conditions. The conditions involve comparing the current close price with moving averages, RSI, and volume. If any of the conditions are met, the strategy sets the "sell" signal to 1. Overall, the NASOSv4 strategy combines multiple technical indicators and conditions to generate buy and sell signals for trading assets.
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 1335, in backtest_one_strategy results = self.backtest( ^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/optimize/backtesting.py", line 1213, in backtest data: Dict = self._get_ohlcv_as_lists(processed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/optimize/backtesting.py", line 381, in _get_ohlcv_as_lists df_analyzed = self.strategy.ft_advise_signals(pair_data, {'pair': pair}) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1392, in ft_advise_signals dataframe = self.advise_exit(dataframe, metadata) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1444, in advise_exit if 'exit_long' not in df.columns: ^^^^^^^^^^ AttributeError: 'NoneType' object has no attribute 'columns'
stoploss: -0.15 timeframe: 5m hash(sha256): 0ca55146ed61a59ce7b6556e32df2704294716c2aa0bafa50cf9a7d953c944e4 indicators: rsi_buy EWO ewo_high ewo_low high_offset_2 close ewo_high_2 sell_signal profit_threshold rsi_fast ma_sell_val ma_buy_val volume low_offset retries high_offset low_offset_2 base_nb_candles_buy ___retries base_nb_candles_sell hma_50 buy buy_tag sma_9 ema_100 lookback_candles max_slippage rsi_slow rsi low close_1h
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last change: 2024-04-29 03:04:16