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The NotAnotherSMAOffsetStrategy is a trading strategy that uses a combination of indicators to generate buy and sell signals. Here is a brief description of what the strategy does:
In the "populate_indicators" method:
Exponential Moving Averages (EMA) are calculated for different time periods and stored in the dataframe. The Hull Moving Average (HMA) with a window of 50 is calculated and stored.
Another EMA with a time period of 100 is calculated and stored.
Simple Moving Average (SMA) with a time period of 9 is calculated and stored.
The EWO (Elliott Wave Oscillator) is calculated based on user-defined parameters. The Relative Strength Index (RSI) is calculated with different time periods. In the "populate_buy_trend" method: Buy conditions are defined based on various indicators such as RSI, EMA, EWO, and volume. If any of the buy conditions are met, a "buy" signal is assigned to the corresponding rows in the dataframe. In the "populate_sell_trend" method: Sell conditions are defined based on indicators such as SMA, HMA, RSI, and volume. If any of the sell conditions are met, a "sell" signal is assigned to the corresponding rows in the dataframe. Overall, the strategy aims to identify buy signals when certain conditions align, indicating potential opportunities for purchasing assets. It also generates sell signals based on different conditions, signaling when to sell assets.
Another EMA with a time period of 100 is calculated and stored.
Simple Moving Average (SMA) with a time period of 9 is calculated and stored.
The EWO (Elliott Wave Oscillator) is calculated based on user-defined parameters. The Relative Strength Index (RSI) is calculated with different time periods. In the "populate_buy_trend" method: Buy conditions are defined based on various indicators such as RSI, EMA, EWO, and volume. If any of the buy conditions are met, a "buy" signal is assigned to the corresponding rows in the dataframe. In the "populate_sell_trend" method: Sell conditions are defined based on indicators such as SMA, HMA, RSI, and volume. If any of the sell conditions are met, a "sell" signal is assigned to the corresponding rows in the dataframe. Overall, the strategy aims to identify buy signals when certain conditions align, indicating potential opportunities for purchasing assets. It also generates sell signals based on different conditions, signaling when to sell assets.
stoploss: -0.35 timeframe: 5m hash(sha256): f70840bd2fe7d94e741fe215f9da582bf8ac26e88f0b89048f166465eee33835 indicators: rsi_buy EWO ewo_high ewo_low high_offset_2 close sell_signal rsi_fast ma_sell_val ma_buy_val volume low_offset high_offset base_nb_candles_buy base_nb_candles_sell hma_50 sma_9 ema_100 rsi_slow rsi low
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last change: 2023-05-03 19:06:52