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The NASOSv5 strategy is a trading strategy that involves generating buy and sell signals based on various indicators and conditions. Here is a breakdown of what the strategy does:
populate_indicators method:
This method populates the indicators used by the strategy by merging informative 15-minute data with the current timeframe data. It returns the updated dataframe with the merged indicators.
populate_buy_trend method: This method generates buy signals based on specific conditions.
It creates a list of conditions that need to be met for a buy signal.
The conditions involve comparing various indicators such as RSI (Relative Strength Index), close price, moving averages, EWO (Elliott Wave Oscillator), and volume. If the conditions are met, the 'buy' column in the dataframe is set to 1, and a 'buy_tag' is assigned to indicate the reason for the buy signal. It also includes a check for 'dont_buy_conditions', which could override the buy signal if those conditions are met. The updated dataframe with buy signals is returned. populate_sell_trend method: This method generates sell signals based on specific conditions. It creates a list of conditions that need to be met for a sell signal. The conditions involve comparing various indicators such as RSI, close price, moving averages, and volume. If the conditions are met, the 'sell' column in the dataframe is set to 1. The updated dataframe with sell signals is returned. The NASOSv5_antipump class is a variation of the NASOSv5 strategy with some modifications in the buy and sell conditions. The modifications are specific to detecting potential pump-and-dump scenarios. Overall, the strategy aims to identify favorable buy and sell opportunities based on the provided indicators and conditions.
populate_buy_trend method: This method generates buy signals based on specific conditions.
It creates a list of conditions that need to be met for a buy signal.
The conditions involve comparing various indicators such as RSI (Relative Strength Index), close price, moving averages, EWO (Elliott Wave Oscillator), and volume. If the conditions are met, the 'buy' column in the dataframe is set to 1, and a 'buy_tag' is assigned to indicate the reason for the buy signal. It also includes a check for 'dont_buy_conditions', which could override the buy signal if those conditions are met. The updated dataframe with buy signals is returned. populate_sell_trend method: This method generates sell signals based on specific conditions. It creates a list of conditions that need to be met for a sell signal. The conditions involve comparing various indicators such as RSI, close price, moving averages, and volume. If the conditions are met, the 'sell' column in the dataframe is set to 1. The updated dataframe with sell signals is returned. The NASOSv5_antipump class is a variation of the NASOSv5 strategy with some modifications in the buy and sell conditions. The modifications are specific to detecting potential pump-and-dump scenarios. Overall, the strategy aims to identify favorable buy and sell opportunities based on the provided indicators and conditions.
stoploss: -0.318 timeframe: 5m hash(sha256): a577faa5c2f7d320aefbd5063e844f64a5cf34b1026e6ae68a7d8acb079bb8b5 indicators: rsi_buy EWO ema_200 ewo_high ema_50 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 high rsi_fast_buy ___retries base_nb_candles_sell hma_50 buy buy_tag sma_9 ema_100 pump_strength close_15m lookback_candles max_slippage rsi_slow rsi low
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last change: 2023-09-02 09:21:33