The "CombinedBinHClucAndMADV6" strategy is a trading strategy implemented in a backtesting website. Here is a short description of what the strategy does:
The strategy begins by populating various indicators on the provided dataframe, including informative indicators for 1 hour timeframe and normal timeframe indicators. The entry trend is determined based on multiple conditions that need to be met for a "buy" signal:
For the strategy "ClucMay72018":
The closing price is above the 200-day exponential moving average (ema_200).
The closing price is above the 1-hour exponential moving average (ema_200_1h).
The closing price is below the slow exponential moving average (ema_slow).
The closing price is below 99% of the lower Bollinger Band (bb_lowerband). The slow volume mean is greater than 40% of the 30-day shifted slow volume mean. The volume is greater than 0. For the strategy "MACD Low buy":
The closing price is above the 200-day exponential moving average (ema_200). The closing price is above the 1-hour exponential moving average (ema_200_1h). The MACD line (ema_26 - ema_12) is positive and greater than 2% of the opening price. The difference between the previous MACD line and the current MACD line is greater than 1% of the opening price. The volume is less than 4 times the previous volume. The closing price is below the lower Bollinger Band (bb_lowerband). The slow volume mean is greater than 40% of the 30-day shifted slow volume mean. The volume is greater than 0. For the strategy combining multiple conditions:
The closing price is below the 5-day simple moving average (sma_5). The SSL up indicator for 1 hour timeframe (ssl_up_1h) is greater than the SSL down indicator for 1 hour timeframe (ssl_down_1h). The slow exponential moving average (ema_slow) is greater than the 200-day exponential moving average (ema_200). The 50-day exponential moving average for 1 hour timeframe (ema_50_1h) is greater than the 200-day exponential moving average for 1 hour timeframe (ema_200_1h). The relative strength index (rsi) is less than the difference between the relative strength index for 1 hour timeframe (rsi_1h) and 43.276. The volume is greater than 0. The "buy" signal is set to 1 for the rows where any of the entry trend conditions are met. The exit trend is determined based on a single condition for a "sell" signal:
The closing price is above 1.01 times the middle Bollinger Band (bb_middleband). The volume is greater than 0. The "sell" signal is set to 1 for the rows where the exit trend condition is met. The modified dataframe with buy and sell signals is returned.