Not Enough Data to display!
Average Overall
| Not Enough Data! / Avg statistics not populated yet. |
|---|
The BigZ03HO strategy is a trading strategy implemented as a class that inherits from the IStrategy interface. It consists of several methods to populate indicators and define buy conditions. Here is a brief description of what the strategy does:
The populate_indicators method takes a DataFrame and metadata as input and populates the indicators for the strategy.
It merges informative indicators from a 1-hour timeframe, normal timeframe indicators, and returns the updated DataFrame.
The populate_buy_trend method is responsible for defining the buy conditions based on various criteria.
It updates the DataFrame with the buy signals generated by the strategy. Here are the important parts of the buy conditions: Buy Condition 12: The close price is above the 200-day exponential moving average (ema_200), above the 1-hour ema_200, below the lower Bollinger Band (bb_lowerband) multiplied by 0.993, the low price is below the lower Bollinger Band multiplied by 0.985, the previous close price is above the lower Bollinger Band, the 1-hour relative strength index (rsi_1h) is below 72.8, the open price is greater than the close price, the slow average volume is greater than the volume 48 periods ago multiplied by a certain factor, and the volume is less than the previous volume multiplied by another factor. Buy Condition 11: The high-low range is less than 1% of the open price, the open price is lower than the close price, and the previous high-low range is also less than 1% of the previous open price. These conditions are checked for the last 10 periods. Additionally, the middle Bollinger Band (bb_middleband) is higher than the middle Bollinger Band 9 periods ago multiplied by 1.005, the RSI is below 68, and the volume is greater than zero. Buy Condition 0: The close price is above the 200-day exponential moving average (ema_200), the RSI is below 30, the close price multiplied by 1.024 is less than the open price 3 periods ago, the 1-hour RSI is below 71, the slow average volume is greater than the volume 48 periods ago multiplied by a certain factor, and the volume is greater than zero. Buy Condition 1: The close price is above the 200-day exponential moving average (ema_200), above the 1-hour ema_200, below the lower Bollinger Band multiplied by a certain factor, the 1-hour RSI is below 69, the open price is greater than the close price, the slow average volume is greater than the volume 48 periods ago multiplied by a certain factor, the volume is less than the previous volume multiplied by another factor, and the volume is greater than zero. Buy Condition 2: The close price is above the 200-day exponential moving average (ema_200), below the lower Bollinger Band multiplied by a certain factor, the slow average volume is greater than the volume 48 periods ago multiplied by a certain factor, the volume is less than the previous volume multiplied by another factor, the open price minus the close price is less than the upper Bollinger Band 2 periods ago minus the lower Bollinger Band 2 periods ago, and the volume is greater than zero. Buy Condition 3: The close price is above the 1-hour ema_200, below the lower Bollinger Band, the RSI is below a certain value, the slow average volume is greater than the volume 48 periods ago multiplied by a certain factor, the volume is less than the previous volume multiplied by another factor, and the volume is greater than zero. Buy Condition 4: The 1-hour RSI is below a certain value, the close price is below the lower Bollinger Band, the slow average volume is greater than the volume 48 periods ago multiplied by a certain factor, the volume is less than the previous volume multiplied by another factor, and the volume is greater than zero. Buy Condition 5: The close price is above the 200-day exponential moving average (ema_200), above the 1-hour ema_200, the 26-day exponential moving average (ema_26) is above the 12-day exponential moving average (ema_12), the difference between ema_26 and ema_12 is greater than a certain percentage of the open price, the difference between the previous ema_26 and ema_12 is greater than the previous open price divided by 100, the close price is below the lower Bollinger Band, the volume is less than the previous volume multiplied by a certain factor, the slow average volume is greater than the volume 48 periods ago multiplied by a certain factor, and the volume is greater than zero. Buy Condition 6: The 1-hour RSI is below a certain value, the ema_26 is above ema_12, the difference between ema_26 and ema_12 is greater than a certain percentage of the open price. These are the buy conditions implemented in the BigZ03HO strategy. The strategy combines different technical indicators, moving averages, Bollinger Bands, and volume analysis to generate buy signals based on specific criteria.
It merges informative indicators from a 1-hour timeframe, normal timeframe indicators, and returns the updated DataFrame.
The populate_buy_trend method is responsible for defining the buy conditions based on various criteria.
It updates the DataFrame with the buy signals generated by the strategy. Here are the important parts of the buy conditions: Buy Condition 12: The close price is above the 200-day exponential moving average (ema_200), above the 1-hour ema_200, below the lower Bollinger Band (bb_lowerband) multiplied by 0.993, the low price is below the lower Bollinger Band multiplied by 0.985, the previous close price is above the lower Bollinger Band, the 1-hour relative strength index (rsi_1h) is below 72.8, the open price is greater than the close price, the slow average volume is greater than the volume 48 periods ago multiplied by a certain factor, and the volume is less than the previous volume multiplied by another factor. Buy Condition 11: The high-low range is less than 1% of the open price, the open price is lower than the close price, and the previous high-low range is also less than 1% of the previous open price. These conditions are checked for the last 10 periods. Additionally, the middle Bollinger Band (bb_middleband) is higher than the middle Bollinger Band 9 periods ago multiplied by 1.005, the RSI is below 68, and the volume is greater than zero. Buy Condition 0: The close price is above the 200-day exponential moving average (ema_200), the RSI is below 30, the close price multiplied by 1.024 is less than the open price 3 periods ago, the 1-hour RSI is below 71, the slow average volume is greater than the volume 48 periods ago multiplied by a certain factor, and the volume is greater than zero. Buy Condition 1: The close price is above the 200-day exponential moving average (ema_200), above the 1-hour ema_200, below the lower Bollinger Band multiplied by a certain factor, the 1-hour RSI is below 69, the open price is greater than the close price, the slow average volume is greater than the volume 48 periods ago multiplied by a certain factor, the volume is less than the previous volume multiplied by another factor, and the volume is greater than zero. Buy Condition 2: The close price is above the 200-day exponential moving average (ema_200), below the lower Bollinger Band multiplied by a certain factor, the slow average volume is greater than the volume 48 periods ago multiplied by a certain factor, the volume is less than the previous volume multiplied by another factor, the open price minus the close price is less than the upper Bollinger Band 2 periods ago minus the lower Bollinger Band 2 periods ago, and the volume is greater than zero. Buy Condition 3: The close price is above the 1-hour ema_200, below the lower Bollinger Band, the RSI is below a certain value, the slow average volume is greater than the volume 48 periods ago multiplied by a certain factor, the volume is less than the previous volume multiplied by another factor, and the volume is greater than zero. Buy Condition 4: The 1-hour RSI is below a certain value, the close price is below the lower Bollinger Band, the slow average volume is greater than the volume 48 periods ago multiplied by a certain factor, the volume is less than the previous volume multiplied by another factor, and the volume is greater than zero. Buy Condition 5: The close price is above the 200-day exponential moving average (ema_200), above the 1-hour ema_200, the 26-day exponential moving average (ema_26) is above the 12-day exponential moving average (ema_12), the difference between ema_26 and ema_12 is greater than a certain percentage of the open price, the difference between the previous ema_26 and ema_12 is greater than the previous open price divided by 100, the close price is below the lower Bollinger Band, the volume is less than the previous volume multiplied by a certain factor, the slow average volume is greater than the volume 48 periods ago multiplied by a certain factor, and the volume is greater than zero. Buy Condition 6: The 1-hour RSI is below a certain value, the ema_26 is above ema_12, the difference between ema_26 and ema_12 is greater than a certain percentage of the open price. These are the buy conditions implemented in the BigZ03HO strategy. The strategy combines different technical indicators, moving averages, Bollinger Bands, and volume analysis to generate buy signals based on specific criteria.
startup_candle_count : 200 ema_50_1h: -0.001% macd: -0.001% signal: -0.002% hist: 0.002%
stoploss: -0.99 timeframe: 5m hash(sha256): 69198df9bcc97b04f60f1fb5a8c42c758c0906eb3fe4b143cda2a1e002df4ac1 indicators: upper ema_200 ema_50 close sma_5 bb_lowerband ema_200_1h volume open volume_mean_slow high mid macd rsi_1h hist lower ema_12 signal bb_middleband rsi bb_upperband ema_26 low
Similar Strategies: (based on used indicators)
Strategy: BigZ03, Similarity Score: 95.83%
Strategy: BigZ06, Similarity Score: 95.83%
Strategy: BcmbigzV1, Similarity Score: 91.67%
Strategy: BigZ04, Similarity Score: 91.67%
Strategy: BigZ04HO, Similarity Score: 91.67%
Strategy: BigZ04HO2, Similarity Score: 91.67%
Strategy: BigZ04_2, Similarity Score: 91.67%
Strategy: BigZ04_845, Similarity Score: 91.67%
Strategy: BigZ04_TSL1, Similarity Score: 91.67%
Strategy: BigZ04_TSL2, Similarity Score: 91.67%
Strategy: BigZ04_TSL3, Similarity Score: 91.67%
Strategy: BigZ04_TSL3_2, Similarity Score: 91.67%
Strategy: BigZ04_TSL4, Similarity Score: 91.67%
Strategy: BigZ04_TSL4_2, Similarity Score: 91.67%
Strategy: BigZ04_TSL4_24, Similarity Score: 91.67%
Strategy: BigZ04_TSL4_69, Similarity Score: 91.67%
Strategy: BigZ04_TSL4_761, Similarity Score: 91.67%
Strategy: BigZ07, Similarity Score: 91.67%
Strategy: BigZ07HX, Similarity Score: 91.67%
Strategy: BigZ07H_fix, Similarity Score: 91.67%
Strategy: Discord_BigZ04_TSL3, Similarity Score: 91.67%
Strategy: Discord_BigZ04_TSL3a, Similarity Score: 91.67%
last change: 2023-07-01 14:00:25