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The NASOSv5 strategy is a trading strategy implemented as a class in Python. It consists of two main functions: populate_indicators and populate_buy_trend. The populate_indicators function takes a dataframe and metadata as input and calculates various indicators based on the provided data.
It merges the informative 15-minute indicators with the original timeframe indicators using a forward fill method.
The function then returns the modified dataframe with the added indicators.
The populate_buy_trend function is responsible for determining the buy signals based on specific conditions. It applies a set of conditions to the dataframe and assigns a value of 1 to the "buy" column and a corresponding tag for each matching condition. The conditions include checking the values of different indicators such as RSI, EWO (Elliott Wave Oscillator), volume, and moving averages. If any of the conditions are met, a buy signal is generated. The strategy also includes a populate_sell_trend function, which determines the sell signals based on specific conditions. Similar to the populate_buy_trend function, it applies conditions to the dataframe and assigns a value of 1 to the "sell" column if any of the conditions are met. Additionally, there is a subclass called NASOSv5_antipump that inherits from the NASOSv5 class. It overrides the populate_buy_trend and populate_sell_trend functions with modified conditions to account for specific anti-pump conditions. Overall, the NASOSv5 strategy utilizes various indicators and conditions to generate buy and sell signals for trading.
It merges the informative 15-minute indicators with the original timeframe indicators using a forward fill method.
The function then returns the modified dataframe with the added indicators.
The populate_buy_trend function is responsible for determining the buy signals based on specific conditions. It applies a set of conditions to the dataframe and assigns a value of 1 to the "buy" column and a corresponding tag for each matching condition. The conditions include checking the values of different indicators such as RSI, EWO (Elliott Wave Oscillator), volume, and moving averages. If any of the conditions are met, a buy signal is generated. The strategy also includes a populate_sell_trend function, which determines the sell signals based on specific conditions. Similar to the populate_buy_trend function, it applies conditions to the dataframe and assigns a value of 1 to the "sell" column if any of the conditions are met. Additionally, there is a subclass called NASOSv5_antipump that inherits from the NASOSv5 class. It overrides the populate_buy_trend and populate_sell_trend functions with modified conditions to account for specific anti-pump conditions. Overall, the NASOSv5 strategy utilizes various indicators and conditions to generate buy and sell signals for trading.
stoploss: -0.15 timeframe: 5m hash(sha256): 1969540d566fee84e9699eab8b8d39a93666b15fa2375696aabf025f6aa26763 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: 2022-07-02 19:54:08