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The NotAnotherSMAOffsetStrategyHOv3 strategy is a trading strategy that utilizes various indicators to make buy and sell decisions. Here is a breakdown of its key components:
Indicator Calculation:
Exponential Moving Averages (EMA): Calculates EMA values for different time periods. Hull Moving Average (HMA): Calculates the HMA using a window of 50 periods.
EMA 100: Calculates the EMA using a time period of 100.
Simple Moving Average (SMA): Calculates the SMA using a time period of 9.
Elliott Wave Oscillator (EWO): Calculates the EWO using specified parameters. Relative Strength Index (RSI): Calculates the RSI using time periods of 14, 4, and 20. Buy Trend: The strategy identifies potential buy signals based on multiple conditions: RSI fast < 35 Close price < (EMA_buy * low_offset) EWO > ewo_high RSI < rsi_buy Volume > 0 Close price < (EMA_sell * high_offset) Additional Buy Trend: Another set of buy conditions is checked: RSI fast < 35 Close price < (EMA_buy * low_offset_2) EWO > ewo_high_2 RSI < rsi_buy Volume > 0 Close price < (EMA_sell * high_offset) RSI < 25 Buy Tagging: If the conditions for either buy trend are met, the 'buy' and 'buy_tag' columns are set to 1 and assigned a specific tag value. Sell Trend: The strategy identifies potential sell signals based on two conditions: Condition 1: Close price > SMA_9 Close price > (EMA_sell * high_offset_2) RSI > 50 Volume > 0 RSI fast > RSI slow Condition 2: Close price < HMA_50 Close price > (EMA_sell * high_offset) Volume > 0 RSI fast > RSI slow Sell Tagging: If the conditions for either sell trend are met, the 'sell' column is set to 1. Overall, the strategy combines multiple indicators, including EMAs, HMAs, RSIs, and EWO, to generate buy and sell signals based on specific conditions related to price, volume, and indicator values.
EMA 100: Calculates the EMA using a time period of 100.
Simple Moving Average (SMA): Calculates the SMA using a time period of 9.
Elliott Wave Oscillator (EWO): Calculates the EWO using specified parameters. Relative Strength Index (RSI): Calculates the RSI using time periods of 14, 4, and 20. Buy Trend: The strategy identifies potential buy signals based on multiple conditions: RSI fast < 35 Close price < (EMA_buy * low_offset) EWO > ewo_high RSI < rsi_buy Volume > 0 Close price < (EMA_sell * high_offset) Additional Buy Trend: Another set of buy conditions is checked: RSI fast < 35 Close price < (EMA_buy * low_offset_2) EWO > ewo_high_2 RSI < rsi_buy Volume > 0 Close price < (EMA_sell * high_offset) RSI < 25 Buy Tagging: If the conditions for either buy trend are met, the 'buy' and 'buy_tag' columns are set to 1 and assigned a specific tag value. Sell Trend: The strategy identifies potential sell signals based on two conditions: Condition 1: Close price > SMA_9 Close price > (EMA_sell * high_offset_2) RSI > 50 Volume > 0 RSI fast > RSI slow Condition 2: Close price < HMA_50 Close price > (EMA_sell * high_offset) Volume > 0 RSI fast > RSI slow Sell Tagging: If the conditions for either sell trend are met, the 'sell' column is set to 1. Overall, the strategy combines multiple indicators, including EMAs, HMAs, RSIs, and EWO, to generate buy and sell signals based on specific conditions related to price, volume, and indicator values.
stoploss: -0.3 timeframe: 1h hash(sha256): 9200dd52d5cb90c5d258ec742f3f76bec92c0eea4483fbed2e719601413ef88e indicators: rsi_buy EWO ewo_high ewo_low high_offset_2 close ewo_high_2 sell_signal 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 max_slippage rsi_slow rsi low
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last change: 2023-08-03 01:09:33