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The given code appears to be a part of a larger backtesting website that implements various trading strategies. The code defines a class named "Infinity" that inherits from the "IStrategy" class. The "Infinity" class contains two main methods: "populate_indicators" and "populate_buy_trend."
The "populate_indicators" method takes a DataFrame and additional metadata as input and performs various operations to populate indicators for different timeframes.
It merges informative dataframes, resamples data to a different timeframe, and calculates indicators for the normal (5m) timeframe.
The method then returns the modified DataFrame.
The "populate_buy_trend" method takes the modified DataFrame from the previous method and metadata as input. It defines a list of conditions and applies them to identify potential buy signals. The conditions involve calculations based on indicators like exponential moving averages (EMAs), simple moving averages (SMAs), relative strength index (RSI), Bollinger Bands, volume, etc. Based on these conditions, a "buy_tag" is assigned to the DataFrame to indicate the buy signal. The method returns the DataFrame with the updated "buy_tag" column. Overall, the "Infinity" strategy implements various indicator calculations and buy conditions to generate potential buy signals based on the provided DataFrame and metadata.
It merges informative dataframes, resamples data to a different timeframe, and calculates indicators for the normal (5m) timeframe.
The method then returns the modified DataFrame.
The "populate_buy_trend" method takes the modified DataFrame from the previous method and metadata as input. It defines a list of conditions and applies them to identify potential buy signals. The conditions involve calculations based on indicators like exponential moving averages (EMAs), simple moving averages (SMAs), relative strength index (RSI), Bollinger Bands, volume, etc. Based on these conditions, a "buy_tag" is assigned to the DataFrame to indicate the buy signal. The method returns the DataFrame with the updated "buy_tag" column. Overall, the "Infinity" strategy implements various indicator calculations and buy conditions to generate potential buy signals based on the provided DataFrame and metadata.
stoploss: -0.2 timeframe: 5m hash(sha256): 5a4f7b8ffd9d567ed8351a4511d10a18104580027b4ad874b10e753fd8931993 indicators: sell_pump_36_3_1h sma_200_1h upper safe_pump_type safe_pump_24_30 close tsi_ema_fast ema_15 sell_pump_36_2 sma_5 buy_condition_4_enable sell_pump_24_1_1h safe_pump_period ema_25 ema_200_1h buy_condition_27_enable safe_dump_50 ewo sma200_rising_val buy_condition_6_enable buy_condition_16_enable r_480_1h safe_pump_24_100 volume rsi_4 sma_200_dec_20 safe_pump_24_120 safe_dips_70 sell_pump_36_1_1h ema_20 safe_pump_48_30 safe_pump_48_100_1h buy_condition_29_enable oc_pct_change_48 sell_pump_48_1_1h h
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last change: 2024-05-02 13:37:44