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The YorganStrategy is a trading strategy implemented as a class that extends the IStrategy interface. Here's a brief description of what the strategy does:
populate_indicators method: This method calculates various technical indicators based on the provided input dataframe. The indicators include exponential moving averages (EMAs) for different time periods, hull moving average (HMA), simple moving average (SMA), Elder's Force Index (EWO), and relative strength index (RSI).
populate_buy_trend method: This method identifies potential buy signals based on specific conditions.
It looks for instances where the RSI (fast) is below 35, the closing price is below a certain percentage of the EMA (buy), the EWO is above a certain threshold, the RSI is below a specified value, the volume is positive, and the closing price is below a certain percentage of the EMA (sell).
It assigns a value of 1 to the 'buy' column and adds a descriptive tag. populate_sell_trend method: This method identifies potential sell signals based on specific conditions. It checks if the closing price is above the simple moving average (SMA) of 9 periods and above a certain percentage of the EMA (sell), the RSI is above 50, the volume is positive, and the RSI (fast) is greater than the RSI (slow). Additionally, it checks if the closing price is below the hull moving average (HMA) of 50 periods and above a certain percentage of the EMA (sell), the volume is positive, and the RSI (fast) is greater than the RSI (slow). If any of these conditions are met, it assigns a value of 1 to the 'sell' column. The strategy utilizes various indicators and conditions to generate potential buy and sell signals for backtesting trading strategies.
populate_buy_trend method: This method identifies potential buy signals based on specific conditions.
It looks for instances where the RSI (fast) is below 35, the closing price is below a certain percentage of the EMA (buy), the EWO is above a certain threshold, the RSI is below a specified value, the volume is positive, and the closing price is below a certain percentage of the EMA (sell).
It assigns a value of 1 to the 'buy' column and adds a descriptive tag. populate_sell_trend method: This method identifies potential sell signals based on specific conditions. It checks if the closing price is above the simple moving average (SMA) of 9 periods and above a certain percentage of the EMA (sell), the RSI is above 50, the volume is positive, and the RSI (fast) is greater than the RSI (slow). Additionally, it checks if the closing price is below the hull moving average (HMA) of 50 periods and above a certain percentage of the EMA (sell), the volume is positive, and the RSI (fast) is greater than the RSI (slow). If any of these conditions are met, it assigns a value of 1 to the 'sell' column. The strategy utilizes various indicators and conditions to generate potential buy and sell signals for backtesting trading strategies.
startup_candle_count : 200 hma_50: -0.001% ema_100: 0.014% rsi_slow: 0.002%
stoploss: -0.1 timeframe: 5m hash(sha256): 81ba7b413356ebae9915f64c279e71f8408caf9287ccc495e78d8c0970669b49 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: 2023-11-02 23:02:58