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The NotAnotherSMAOffsetStrategyHOv3_akiva strategy is a trading strategy implemented as a class in Python. It utilizes various indicators and conditions to determine buy and sell signals for trading. In the populate_indicators method, several indicators are calculated and added to the input dataframe.
These indicators include exponential moving averages (EMAs) with different time periods, Hull moving average (HMA), EMA with a time period of 100, simple moving average (SMA) with a time period of 9, Elder's Force Index (EWO), and relative strength index (RSI) with different time periods.
The populate_buy_trend method determines the conditions for generating buy signals.
It checks for conditions such as the RSI being below 35, the close price being below a specific EMA multiplied by a low offset value, EWO being above a certain threshold, RSI being below a specific value, volume being greater than 0, and the close price being below a specific EMA multiplied by a high offset value. Multiple sets of conditions are evaluated to generate different buy signals. The populate_sell_trend method determines the conditions for generating sell signals. It checks for conditions such as the close price being above the simple moving average (SMA) with a time period of 9, the close price being above a specific EMA multiplied by a high offset value, RSI being above 50, volume being greater than 0, and the fast RSI being greater than the slow RSI. Additionally, there is a condition where the close price is below the Hull moving average (HMA) and above a specific EMA multiplied by a high offset value. If any of the specified conditions are met, the corresponding buy or sell signals are marked in the dataframe by setting the 'buy' or 'sell' columns to 1. The specific conditions that triggered the signals are also stored in the 'buy_tag' column. Overall, the strategy combines multiple technical indicators and conditions to generate buy and sell signals for trading.
These indicators include exponential moving averages (EMAs) with different time periods, Hull moving average (HMA), EMA with a time period of 100, simple moving average (SMA) with a time period of 9, Elder's Force Index (EWO), and relative strength index (RSI) with different time periods.
The populate_buy_trend method determines the conditions for generating buy signals.
It checks for conditions such as the RSI being below 35, the close price being below a specific EMA multiplied by a low offset value, EWO being above a certain threshold, RSI being below a specific value, volume being greater than 0, and the close price being below a specific EMA multiplied by a high offset value. Multiple sets of conditions are evaluated to generate different buy signals. The populate_sell_trend method determines the conditions for generating sell signals. It checks for conditions such as the close price being above the simple moving average (SMA) with a time period of 9, the close price being above a specific EMA multiplied by a high offset value, RSI being above 50, volume being greater than 0, and the fast RSI being greater than the slow RSI. Additionally, there is a condition where the close price is below the Hull moving average (HMA) and above a specific EMA multiplied by a high offset value. If any of the specified conditions are met, the corresponding buy or sell signals are marked in the dataframe by setting the 'buy' or 'sell' columns to 1. The specific conditions that triggered the signals are also stored in the 'buy_tag' column. Overall, the strategy combines multiple technical indicators and conditions to generate buy and sell signals for trading.
startup_candle_count : 200 hma_50: 0.001% ema_100: -0.026% rsi_slow: 0.002%
stoploss: -0.04 timeframe: 5m hash(sha256): 7235179673567ba237e895dbafe26fbcf4ddfbfd40b2f84694dd020bfce83979 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 date buy_tag base_nb_candles_buy ___retries base_nb_candles_sell hma_50 ema_offset_sell buy buy_tag sma_9 ema_100 max_slippage rsi_slow rsi low
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last change: 2024-05-02 15:53:22