StrategyV2:
This strategy uses various indicators to determine buy and sell signals. In the populate_indicators method, it calculates the simple moving average (SMA), exponential moving averages (EMA) of different time periods, and the relative strength index (RSI) for short and long timeframes. It fills any missing values with the previous values.
In the populate_buy_trend method, it identifies buy signals when the 50-day EMA is greater than the 200-day EMA, the RSI is lower than a certain threshold, and certain RSI conditions are met.
In the populate_sell_trend method, it identifies sell signals based on RSI conditions.
StrategyV3: This strategy also utilizes various indicators to generate buy and sell signals. In the populate_indicators method, it calculates indicators such as SMA, EMA, stochastic oscillators, Bollinger Bands, Commodity Channel Index (CCI), and more. It also performs resampling of the data and fills missing values. In the populate_buy_trend method, it generates buy signals when the 50-day EMA is greater than the 200-day EMA, the RSI is lower than a certain threshold, and certain RSI conditions are met. In the populate_sell_trend method, it generates sell signals based on RSI conditions. StrategyV4: This strategy incorporates different technical indicators in the populate_indicators method. It calculates the stochastic oscillator for two different periods. Other indicators are commented out for performance reasons. In the populate_buy_trend method, it generates buy signals based on certain conditions involving the stochastic oscillator and RSI. In the populate_sell_trend method, it generates sell signals based on RSI and other conditions. Please note that the provided code snippets are incomplete, and the descriptions are based on the available information.
In the populate_buy_trend method, it identifies buy signals when the 50-day EMA is greater than the 200-day EMA, the RSI is lower than a certain threshold, and certain RSI conditions are met.
In the populate_sell_trend method, it identifies sell signals based on RSI conditions.
StrategyV3: This strategy also utilizes various indicators to generate buy and sell signals. In the populate_indicators method, it calculates indicators such as SMA, EMA, stochastic oscillators, Bollinger Bands, Commodity Channel Index (CCI), and more. It also performs resampling of the data and fills missing values. In the populate_buy_trend method, it generates buy signals when the 50-day EMA is greater than the 200-day EMA, the RSI is lower than a certain threshold, and certain RSI conditions are met. In the populate_sell_trend method, it generates sell signals based on RSI conditions. StrategyV4: This strategy incorporates different technical indicators in the populate_indicators method. It calculates the stochastic oscillator for two different periods. Other indicators are commented out for performance reasons. In the populate_buy_trend method, it generates buy signals based on certain conditions involving the stochastic oscillator and RSI. In the populate_sell_trend method, it generates sell signals based on RSI and other conditions. Please note that the provided code snippets are incomplete, and the descriptions are based on the available information.
stoploss: -0.15 timeframe: 5m hash(sha256): e3db998ab25f38db1571ea99846c1ea67055f25e5dcea633ee68df06bead29f0 indicators: lowerband upper ema20 _short close _longrsi slowd15 bb_lowerband mfi ema5 slowk_15 fastk CDLHAMMER sma slowd blower slowk15 average _shortrsi sma10 resample_rsi_8 open plus_di fastd ema10 sma100 stochJ_15 slowk_5 high slowk mid sma50 fisher_rsi rsi_y ema100 fisher_rsi_norma cci sma220 resample_rsi_2 stochJ_5 slowd_5 ema3 ema200 slowd_15 sma5 rsi_x minus_di lower _long bb_middleband rsi bb_upperband sma20 sma3 low ema50 willr sma200
No similar strategies found. (based on used indicators)
last change: 2024-04-28 16:42:05