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The SampleStrategy is a trading strategy implemented as a class. It uses various technical indicators to make buy and sell decisions. The populate_indicators function calculates and adds several indicators to the input DataFrame.
These indicators include RSI (Relative Strength Index), ADX (Average Directional Index), MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), Stochastic Fast, Bollinger Bands, SAR (Stop and Reverse), TEMA (Triple Exponential Moving Average), and HTSINE (Hilbert Transform - SineWave).
The populate_buy_trend function populates the buy signal in the DataFrame based on specific conditions.
These conditions include RSI crossing above 30, TEMA (Triple Exponential Moving Average) being below the Bollinger Bands middle band, TEMA rising, and non-zero volume. The populate_sell_trend function populates the sell signal in the DataFrame based on certain conditions. These conditions include RSI crossing above 70, TEMA being above the Bollinger Bands middle band, TEMA falling, and non-zero volume. Overall, the strategy aims to identify potential buying opportunities when the specified conditions are met and selling opportunities when other conditions are satisfied.
These indicators include RSI (Relative Strength Index), ADX (Average Directional Index), MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), Stochastic Fast, Bollinger Bands, SAR (Stop and Reverse), TEMA (Triple Exponential Moving Average), and HTSINE (Hilbert Transform - SineWave).
The populate_buy_trend function populates the buy signal in the DataFrame based on specific conditions.
These conditions include RSI crossing above 30, TEMA (Triple Exponential Moving Average) being below the Bollinger Bands middle band, TEMA rising, and non-zero volume. The populate_sell_trend function populates the sell signal in the DataFrame based on certain conditions. These conditions include RSI crossing above 70, TEMA being above the Bollinger Bands middle band, TEMA falling, and non-zero volume. Overall, the strategy aims to identify potential buying opportunities when the specified conditions are met and selling opportunities when other conditions are satisfied.
startup_candle_count : 20 bb_lowerband: 2.003% bb_middleband: 0.873% bb_upperband: -0.228% sar: 0.989%
stoploss: -0.1 timeframe: 5m hash(sha256): f18dc58d615651308c551c3ce88a5f0894468a5cc1fa373dd9a7c4df9d3cdd84 indicators: upper htsine tema asks mfi bb_lowerband fastk macdhist htleadsine leadsine volume fastd best_ask sar bids macdsignal mid macd best_bid adx lower bb_middleband rsi bb_upperband sine
Similar Strategies: (based on used indicators)
Strategy: FRAYSTRAT, Similarity Score: 96.15%
Strategy: Machete, Similarity Score: 96.15%
Strategy: MeoMeo99, Similarity Score: 96.15%
Strategy: MrFutu, Similarity Score: 96.15%
Strategy: STRATEGY_DEFAULT, Similarity Score: 96.15%
Strategy: Sar, Similarity Score: 96.15%
Strategy: SmithHoeckx, Similarity Score: 96.15%
Strategy: TEMA, Similarity Score: 96.15%
Strategy: TrainDeepQStrategy, Similarity Score: 96.15%
Strategy: bonafe, Similarity Score: 96.15%
Strategy: default, Similarity Score: 96.15%
Strategy: firesoul, Similarity Score: 96.15%
Strategy: sample_strategy_151, Similarity Score: 96.15%
Strategy: sample_strategy_168, Similarity Score: 96.15%
Strategy: sample_strategy_170, Similarity Score: 96.15%
Strategy: sample_strategy_182, Similarity Score: 96.15%
Strategy: sample_strategy_193, Similarity Score: 96.15%
Strategy: sample_strategy_2, Similarity Score: 96.15%
Strategy: sample_strategy_20, Similarity Score: 96.15%
Strategy: sample_strategy_215, Similarity Score: 96.15%
Strategy: sample_strategy_34, Similarity Score: 96.15%
Strategy: sample_strategy_47, Similarity Score: 96.15%
Strategy: sample_strategy_56, Similarity Score: 96.15%
Strategy: sample_strategy_701, Similarity Score: 96.15%
Strategy: sample_strategy_902, Similarity Score: 96.15%
Strategy: winner, Similarity Score: 96.15%
Strategy: winner2, Similarity Score: 96.15%
Strategy: sample_strategy_643, Similarity Score: 92.31%
last change: 2023-10-26 01:09:57