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The NostalgiaForInfinityV7 strategy is a trading strategy implemented as a class in Python. It inherits from the IStrategy class. The strategy has several methods that define its behavior.
The populate_indicators method takes a DataFrame and metadata as input and returns a DataFrame.
It calculates and adds indicators to the input DataFrame using the informative_1h_indicators and normal_tf_indicators methods.
The populate_buy_trend method also takes a DataFrame and metadata as input and returns a DataFrame. It defines the conditions for entering a buy trade. It checks various conditions by evaluating different protection and logic criteria. Some of the important conditions include checking moving average crossovers, close price above moving averages, relative strength index (RSI) values, and minimum trade volume. The results of these conditions are stored in the 'buy_01_trigger', 'buy_02_trigger', 'buy_03_trigger', and other columns of the DataFrame. Overall, the NostalgiaForInfinityV7 strategy aims to identify buy signals based on a combination of technical indicators, moving averages, and price patterns.
The populate_indicators method takes a DataFrame and metadata as input and returns a DataFrame.
It calculates and adds indicators to the input DataFrame using the informative_1h_indicators and normal_tf_indicators methods.
The populate_buy_trend method also takes a DataFrame and metadata as input and returns a DataFrame. It defines the conditions for entering a buy trade. It checks various conditions by evaluating different protection and logic criteria. Some of the important conditions include checking moving average crossovers, close price above moving averages, relative strength index (RSI) values, and minimum trade volume. The results of these conditions are stored in the 'buy_01_trigger', 'buy_02_trigger', 'buy_03_trigger', and other columns of the DataFrame. Overall, the NostalgiaForInfinityV7 strategy aims to identify buy signals based on a combination of technical indicators, moving averages, and price patterns.
stoploss: -0.99 timeframe: 5m hash(sha256): 43292d035123daf38cc3970cf5408564f00db929a721c67657ad16fda2fc4e4b indicators: sell_pump_36_3_1h sma_200_1h upper safe_pump_24_30 close ema_15 sell_pump_36_2 sma_5 sell_pump_24_1_1h buy_22_trigger ema_200_1h ewo buy_17_trigger safe_pump_24_100 volume sma_200_dec_20 buy_09_trigger safe_pump_24_120 safe_dips_70 sell_pump_36_1_1h ema_20 buy_21_trigger safe_pump_48_30 safe_pump_48_100_1h oc_pct_change_48 sell_pump_48_1_1h high tpct_change_2 safe_dips_30 sell_pump_48_3 safe_pump_48_10 safe_dips_80 rsi_1h bb20_2_mid ema_12 tpct_change_12 safe_pump_48_50 sell_pump_48_2 safe_pump_
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last change: 2022-07-02 19:54:08