You will be redirected to the original Strategy in 15 seconds.
The NostalgiaForInfinityX2 strategy is a backtesting strategy that aims to generate trading signals based on various indicators and conditions. Here is a breakdown of its functionality:
populate_indicators: This method populates the strategy's indicators by merging informative dataframes. It retrieves informative indicators for Bitcoin (BTC) based on the stake currency (e.g., USDT, BUSD) or defaults to BTC/USDT.
It also merges informative indicators on different timeframes and drops unnecessary columns.
populate_entry_trend: This method determines the entry signals for long positions.
It defines multiple conditions for buying based on indicators such as moving averages (SMA), support and resistance levels, exponential moving averages (EMA), relative strength index (RSI), and volume. The conditions are combined using logical operators. populate_exit_trend: This method determines the exit signals for both long and short positions. It sets the exit indicators to zero, indicating no exit signals based on the implemented strategy. should_long_entry: This method checks if a long entry should be made at the current time. It retrieves the analyzed dataframe for the specified trading pair and timeframe. If the dataframe is not empty, it compares the current rate with the closing price of the last available data point. If the rate is higher and the calculated slippage is within a certain threshold, it returns True to initiate a long entry. Otherwise, it logs a warning message and returns False. should_long_exit and should_short_exit: These methods are not implemented in the provided code snippet, but their purpose is to determine exit signals for long and short positions based on specific conditions. It sets the exit indicators to zero, indicating no exit signals based on the implemented strategy. sma1: This variable is not fully defined in the given code snippet. Overall, the NostalgiaForInfinityX2 strategy combines multiple indicators and conditions to generate long entry signals. However, the complete functionality and implementation of the strategy may require additional information or code that is not provided in the given snippet.
It also merges informative indicators on different timeframes and drops unnecessary columns.
populate_entry_trend: This method determines the entry signals for long positions.
It defines multiple conditions for buying based on indicators such as moving averages (SMA), support and resistance levels, exponential moving averages (EMA), relative strength index (RSI), and volume. The conditions are combined using logical operators. populate_exit_trend: This method determines the exit signals for both long and short positions. It sets the exit indicators to zero, indicating no exit signals based on the implemented strategy. should_long_entry: This method checks if a long entry should be made at the current time. It retrieves the analyzed dataframe for the specified trading pair and timeframe. If the dataframe is not empty, it compares the current rate with the closing price of the last available data point. If the rate is higher and the calculated slippage is within a certain threshold, it returns True to initiate a long entry. Otherwise, it logs a warning message and returns False. should_long_exit and should_short_exit: These methods are not implemented in the provided code snippet, but their purpose is to determine exit signals for long and short positions based on specific conditions. It sets the exit indicators to zero, indicating no exit signals based on the implemented strategy. sma1: This variable is not fully defined in the given code snippet. Overall, the NostalgiaForInfinityX2 strategy combines multiple indicators and conditions to generate long entry signals. However, the complete functionality and implementation of the strategy may require additional information or code that is not provided in the given snippet.
stoploss: -0.99 timeframe: 5m hash(sha256): bb8ba54ec793128b11854412139e3493d575f68c624d6ca5583c7e62ac6fb816 indicators: sma_200_1h res_level upper bt_agefilter_ok rsi_14_4h res_hlevel ema_200 ema_50 res3_1d close_s close high open close res1 high_s low_s btc_info_ pivot USDTBUSDUSDCDAITUSDPAXUSDEURGBP sma_200_4h xe5 r_14 bb20_2_upp_1h rsi_14_1h volume sma_50_1h sup3 live_data_ok sup_level_4h sup_level_1h xe1 sma_50 date open sup2 5m15m1h4h1d xe4 open_s rsi_14 bb20_2_low bb20_2_upp high sma_200 low_s open_s close_s mid low open close r_480 sup1 sma_50_4h 15m1h4h1d sup3_1d 11 not_downtrend crossed_below_ema_12_26 x
Similar Strategies: (based on used indicators)
Strategy: NostalgiaForInfinityX2_3, Similarity Score: 98.36%
Strategy: NostalgiaForInfinityX2_4, Similarity Score: 98.36%
Strategy: NostalgiaForInfinityX2_237, Similarity Score: 96.72%
Strategy: NostalgiaForInfinityX2_238, Similarity Score: 96.72%
Strategy: NostalgiaForInfinityX2_226, Similarity Score: 91.8%
last change: 2022-08-02 06:55:43