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The NostalgiaForInfinityV2 strategy is a trading strategy implemented as a class in Python. Here is a short description of what the strategy does:
populate_indicators: This method populates indicators for the trading strategy. It takes a DataFrame and metadata as input and returns the modified DataFrame with indicators added.
populate_buy_trend: This method populates the buy signals for the trading strategy.
It evaluates various conditions based on the DataFrame's data and sets the 'buy' signal to 1 when those conditions are met.
The buy conditions include: The close price is below the simple moving average (SMA) with a period of 9. The close price is above the exponential moving average (EMA) with a period of 200 on the 1-hour timeframe. The EMA with a period of 50 is above the EMA with a period of 200. The EMA with a period of 50 on the 1-hour timeframe is above the EMA with a period of 200 on the 1-hour timeframe. Additional conditions involving 'lower', 'bbdelta', 'closedelta', 'tail', 'volume', and their respective values. populate_sell_trend: This method populates the sell signals for the trading strategy. It evaluates various conditions based on the DataFrame's data and sets the 'sell' signal to 1 when those conditions are met. The sell conditions include: The relative strength index (RSI) is above a specified value ('sell_rsi_bb') and the close price is above the Bollinger Bands' upper band. The RSI is above a specified value ('sell_rsi_main'). The close price is below the EMA with a period of 200 and above the EMA with a period of 50, and the RSI is above a specified value ('sell_rsi_2'). The close price is below the EMA with a period of 200, and the relative difference between the EMA and the close price is below a specified value ('sell_ema_relative'), and the RSI is above the RSI on the 1-hour timeframe plus a specified value ('sell_rsi_diff'). Additional conditions involving 'volume' and its respective values. Overall, the NostalgiaForInfinityV2 strategy combines various technical indicators and conditions to generate buy and sell signals for trading.
populate_buy_trend: This method populates the buy signals for the trading strategy.
It evaluates various conditions based on the DataFrame's data and sets the 'buy' signal to 1 when those conditions are met.
The buy conditions include: The close price is below the simple moving average (SMA) with a period of 9. The close price is above the exponential moving average (EMA) with a period of 200 on the 1-hour timeframe. The EMA with a period of 50 is above the EMA with a period of 200. The EMA with a period of 50 on the 1-hour timeframe is above the EMA with a period of 200 on the 1-hour timeframe. Additional conditions involving 'lower', 'bbdelta', 'closedelta', 'tail', 'volume', and their respective values. populate_sell_trend: This method populates the sell signals for the trading strategy. It evaluates various conditions based on the DataFrame's data and sets the 'sell' signal to 1 when those conditions are met. The sell conditions include: The relative strength index (RSI) is above a specified value ('sell_rsi_bb') and the close price is above the Bollinger Bands' upper band. The RSI is above a specified value ('sell_rsi_main'). The close price is below the EMA with a period of 200 and above the EMA with a period of 50, and the RSI is above a specified value ('sell_rsi_2'). The close price is below the EMA with a period of 200, and the relative difference between the EMA and the close price is below a specified value ('sell_ema_relative'), and the RSI is above the RSI on the 1-hour timeframe plus a specified value ('sell_rsi_diff'). Additional conditions involving 'volume' and its respective values. Overall, the NostalgiaForInfinityV2 strategy combines various technical indicators and conditions to generate buy and sell signals for trading.
startup_candle_count : 200 ema_50_1h: -0.001%
stoploss: -1 timeframe: 5m hash(sha256): 7fb7ad41e5da73eb55495e56f1d46694762e47731e48e7fe7238900cfc6c5294 indicators: upper ema_200 ema_50 close sma_5 tail bb_lowerband ema_200_1h bbdelta volume smaHigh ATR ssl_up closedelta sslDown ema_20 hlv volume_mean_slow ema_50_1h smaLow high sslUp mid ssl_down_1h ssl_down rsi_1h sma_9 lower bb_middleband rsi bb_upperband ema_slow low ssl_up_1h
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last change: 2023-08-02 13:38:40