You will be redirected to the original Strategy in 15 seconds.
The ReinforcedQuickie strategy is a trading strategy that uses various technical indicators to generate buy and sell signals. Here is a brief explanation of what the strategy does:
populate_indicators: This function populates the dataframe with different technical indicators such as exponential moving averages (EMA), Bollinger Bands, minimum and maximum values, Commodity Channel Index (CCI), Money Flow Index (MFI), Relative Strength Index (RSI), and moving averages convergence divergence (MACD). These indicators provide insights into market trends and price movements.
populate_buy_trend: This function determines the buy signals based on the values of the indicators and certain conditions.
The conditions include the price being below the short-term and medium-term EMAs, the price being at the minimum value, the price being below the lower Bollinger Band, and specific patterns in the average price, low price, CCI, RSI, and MFI.
Additionally, volume and simple moving averages (SMA) are considered. populate_sell_trend: This function determines the sell signals based on the values of the indicators and specific conditions. The conditions include the price being above the short-term and medium-term EMAs, the price being at the maximum value, the price being above the upper Bollinger Band, and specific patterns in the opening and closing prices and RSI. The code following the populate_sell_trend function performs additional data manipulation and resampling to prepare the dataframe for backtesting. Overall, the ReinforcedQuickie strategy combines multiple technical indicators and conditions to generate buy and sell signals for trading.
populate_buy_trend: This function determines the buy signals based on the values of the indicators and certain conditions.
The conditions include the price being below the short-term and medium-term EMAs, the price being at the minimum value, the price being below the lower Bollinger Band, and specific patterns in the average price, low price, CCI, RSI, and MFI.
Additionally, volume and simple moving averages (SMA) are considered. populate_sell_trend: This function determines the sell signals based on the values of the indicators and specific conditions. The conditions include the price being above the short-term and medium-term EMAs, the price being at the maximum value, the price being above the upper Bollinger Band, and specific patterns in the opening and closing prices and RSI. The code following the populate_sell_trend function performs additional data manipulation and resampling to prepare the dataframe for backtesting. Overall, the ReinforcedQuickie strategy combines multiple technical indicators and conditions to generate buy and sell signals for trading.
stoploss: -0.05 timeframe: 5m hash(sha256): 5d02feda60fc05891ead720df93246e00d82d40b89485eef947d6ccd580d66ff indicators: upper close bb_lowerband mfi macdhist volume average date max open high macdsignal mid cci macd open high low close min lower bb_middleband rsi bb_upperband low resample_sma
Similar Strategies: (based on used indicators)
Strategy: DuperFivish, Similarity Score: 96.3%
Strategy: Leveraged, Similarity Score: 96.3%
Strategy: ReinforcedQuickie, Similarity Score: 96.3%
Strategy: ReinforcedQuickieHyperStrategy, Similarity Score: 96.3%
Strategy: ReinforcedQuickie_2, Similarity Score: 96.3%
Strategy: ReinforcedQuickie_3, Similarity Score: 96.3%
Strategy: ReinforcedQuickie_4, Similarity Score: 96.3%
Strategy: ReinforcedQuickie_86, Similarity Score: 96.3%
Strategy: YouPig, Similarity Score: 96.3%
Strategy: SmoothOperator_4, Similarity Score: 88.89%
last change: 2022-07-02 19:54:08