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The NASOSv4 strategy is a trading strategy implemented as a class. It consists of two main methods: populate_indicators and populate_buy_trend, as well as a populate_sell_trend method. The populate_indicators method takes a DataFrame of price data and additional metadata as input.
It generates informative indicators based on the 1-hour timeframe and merges them into the original DataFrame.
The indicators are computed using the informative_1h_indicators and normal_tf_indicators functions.
The method then returns the modified DataFrame. The populate_buy_trend method populates the buy signals in the DataFrame based on certain conditions. It checks various criteria such as the RSI (Relative Strength Index), close price, moving averages, EWO (Elliott Wave Oscillator), and volume. If the conditions are met, the corresponding buy signal and tag are set in the DataFrame. The populate_sell_trend method populates the sell signals in the DataFrame based on certain conditions. It checks criteria such as the RSI, close price, moving averages, and volume. If the conditions are met, the sell signal is set in the DataFrame. Overall, the NASOSv4 strategy generates indicators, identifies buy signals based on multiple conditions, and determines sell signals based on different criteria. It aims to provide a systematic approach to trading by utilizing technical analysis indicators and rules.
It generates informative indicators based on the 1-hour timeframe and merges them into the original DataFrame.
The indicators are computed using the informative_1h_indicators and normal_tf_indicators functions.
The method then returns the modified DataFrame. The populate_buy_trend method populates the buy signals in the DataFrame based on certain conditions. It checks various criteria such as the RSI (Relative Strength Index), close price, moving averages, EWO (Elliott Wave Oscillator), and volume. If the conditions are met, the corresponding buy signal and tag are set in the DataFrame. The populate_sell_trend method populates the sell signals in the DataFrame based on certain conditions. It checks criteria such as the RSI, close price, moving averages, and volume. If the conditions are met, the sell signal is set in the DataFrame. Overall, the NASOSv4 strategy generates indicators, identifies buy signals based on multiple conditions, and determines sell signals based on different criteria. It aims to provide a systematic approach to trading by utilizing technical analysis indicators and rules.
stoploss: -0.15 timeframe: 5m hash(sha256): 8b897f9437cc87272000a473f8528d72fac32080b25afd2528cb971d84150504 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: 2022-07-02 19:54:08