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The BigZ07 strategy is a trading strategy implemented as a class that inherits from the IStrategy interface. It consists of two main methods: populate_indicators and populate_buy_trend. The populate_indicators method takes a DataFrame and a metadata dictionary as input and returns a DataFrame.
It is responsible for populating the indicators used by the strategy.
The method first calculates informative indicators on a 1-hour timeframe using the informative_1h_indicators function.
It then merges these informative indicators into the main DataFrame using the merge_informative_pair function. Finally, it calculates additional indicators on the normal timeframe using the normal_tf_indicators function. The populate_buy_trend method also takes a DataFrame and a metadata dictionary as input and returns a DataFrame. It is responsible for defining the conditions for buying in the strategy. The method defines a list of conditions using logical operations (& for AND) and appends them to the conditions list. Each condition is a combination of different indicators and their respective values. These conditions check various factors such as price, moving averages, volume, and technical indicators like RSI and Bollinger Bands. The conditions aim to identify favorable buying opportunities in the market. Overall, the BigZ07 strategy focuses on generating buy signals based on specific combinations of indicators and their values. By backtesting this strategy on historical data, the website can evaluate its performance and determine its effectiveness in generating profitable trading signals.
It is responsible for populating the indicators used by the strategy.
The method first calculates informative indicators on a 1-hour timeframe using the informative_1h_indicators function.
It then merges these informative indicators into the main DataFrame using the merge_informative_pair function. Finally, it calculates additional indicators on the normal timeframe using the normal_tf_indicators function. The populate_buy_trend method also takes a DataFrame and a metadata dictionary as input and returns a DataFrame. It is responsible for defining the conditions for buying in the strategy. The method defines a list of conditions using logical operations (& for AND) and appends them to the conditions list. Each condition is a combination of different indicators and their respective values. These conditions check various factors such as price, moving averages, volume, and technical indicators like RSI and Bollinger Bands. The conditions aim to identify favorable buying opportunities in the market. Overall, the BigZ07 strategy focuses on generating buy signals based on specific combinations of indicators and their values. By backtesting this strategy on historical data, the website can evaluate its performance and determine its effectiveness in generating profitable trading signals.
startup_candle_count : 200 ema_50_1h: 0.001% hist: -0.001%
stoploss: -0.99 timeframe: 5m hash(sha256): bf376b0da2ee27d3411e0aa0e9cd1b66d2eaf8c67a2df7d8f2bb45195dc9f407 indicators: upper ema_200 ema_50 close bb_lowerband ema_200_1h volume open volume_mean_slow open_1h high mid mfv cmf macd rsi_1h bb_lowerband_1h hist lower cm ema_12 signal bb_middleband rsi bb_upperband ema_26 low close_1h
Similar Strategies: (based on used indicators)
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Strategy: BigZ06, Similarity Score: 93.1%
last change: 2023-08-03 00:30:59