The BigZ04HO strategy is a trading strategy implemented as a class in Python. Here's a short description of what the strategy does:
The strategy includes the following components:
populate_indicators: This function calculates and adds various indicators to the given dataframe using the provided metadata. It merges information from the 1-hour timeframe and populates the indicators for the current timeframe.
populate_buy_trend: This function defines the conditions for initiating buy trades based on the calculated indicators.
It uses a list of conditions, each represented as a logical expression.
If any of the conditions are met, a buy trade is triggered. The strategy includes multiple buy conditions, each with its own set of criteria. Some of the important criteria used in the buy conditions include: Price conditions: Checking if the close price is above certain moving averages (ema_200, ema_200_1h) and below certain Bollinger Bands (bb_lowerband). Volume conditions: Comparing current and previous volume values, and checking if they meet certain criteria (buy_volume_pump_1, buy_volume_drop_1). Technical indicators: Utilizing indicators such as RSI (rsi, rsi_1h), histogram (hist), and MACD (ema_26, ema_12). Candlestick patterns: Examining the relationship between the open and close prices and their position relative to Bollinger Bands. These conditions help determine when to enter a buy trade based on the given market conditions.
populate_buy_trend: This function defines the conditions for initiating buy trades based on the calculated indicators.
It uses a list of conditions, each represented as a logical expression.
If any of the conditions are met, a buy trade is triggered. The strategy includes multiple buy conditions, each with its own set of criteria. Some of the important criteria used in the buy conditions include: Price conditions: Checking if the close price is above certain moving averages (ema_200, ema_200_1h) and below certain Bollinger Bands (bb_lowerband). Volume conditions: Comparing current and previous volume values, and checking if they meet certain criteria (buy_volume_pump_1, buy_volume_drop_1). Technical indicators: Utilizing indicators such as RSI (rsi, rsi_1h), histogram (hist), and MACD (ema_26, ema_12). Candlestick patterns: Examining the relationship between the open and close prices and their position relative to Bollinger Bands. These conditions help determine when to enter a buy trade based on the given market conditions.
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): 5bd36307866135085162decc414c01c2c2802f5b8482088689dedf3ca7208524 indicators: upper ema_200 ema_50 close sma_5 bb_lowerband ema_200_1h volume open volume_mean_slow mid macd rsi_1h bb_lowerband_1h hist lower ema_12 signal bb_middleband rsi bb_upperband ema_26 low close_1h
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last change: 2024-05-02 13:39:41