The strategy, NostalgiaForInfinityNext_ChangeToTower_V2, is a trading strategy that involves backtesting various indicators and conditions to determine buy signals for trading. Here is a brief description of its key components:
populate_indicators:
This function populates the indicators used in the strategy. It fetches Bitcoin (BTC) data in different timeframes (5 minutes and 1 hour) and merges it with the main dataframe.
It also merges informative timeframe data and resampled data if specified.
Finally, it calculates indicators for the normal (5 minutes) timeframe.
populate_buy_trend: This function determines the buy signals based on specified conditions and indicators. It checks various buy protection parameters and creates a list of conditions for each parameter. It then evaluates buy conditions based on indicators like EMA, SMA, RSI, MFI, and volume. If a buy condition is met, it sets the corresponding buy_condition variable to 1. Overall, the strategy utilizes multiple indicators, such as moving averages (EMA, SMA), RSI, MFI, and volume, to generate buy signals based on specified conditions. The strategy takes into account different timeframes and merges relevant data to make informed trading decisions during backtesting.
It also merges informative timeframe data and resampled data if specified.
Finally, it calculates indicators for the normal (5 minutes) timeframe.
populate_buy_trend: This function determines the buy signals based on specified conditions and indicators. It checks various buy protection parameters and creates a list of conditions for each parameter. It then evaluates buy conditions based on indicators like EMA, SMA, RSI, MFI, and volume. If a buy condition is met, it sets the corresponding buy_condition variable to 1. Overall, the strategy utilizes multiple indicators, such as moving averages (EMA, SMA), RSI, MFI, and volume, to generate buy signals based on specified conditions. The strategy takes into account different timeframes and merges relevant data to make informed trading decisions during backtesting.
startup_candle_count : 480 ema_200_1h: 0.024% ema_200: -0.005% ewo: -1.260%
stoploss: -0.99 timeframe: 5m hash(sha256): ebc24ca7d983b8b227fb4fe1ed1e7ce66a8d0be58db93cc451c00e679c10a289 indicators: sell_pump_36_3_1h sma_200_1h upper safe_pump_type safe_pump_24_30 close buy_condition_4_enable ema_15 sell_pump_36_2 sma_5 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 tsi_s buy_condition_35_enable tsi_ safe_pump_24_120 safe_dips_70 sell_pump_36_1_1h ema_20 source safe_pump_48_30 safe_pump_48_100_1h buy_condition_29_enable oc_pct_
Similar Strategies: (based on used indicators)
Strategy: NFI731_BUSD, Similarity Score: 92.11%
Strategy: Infinity, Similarity Score: 89.47%
Strategy: Infinity_0, Similarity Score: 89.47%
Strategy: Infinity_1, Similarity Score: 89.47%
Strategy: NFINextMultiOffsetAndHO, Similarity Score: 89.47%
Strategy: NFINextMultiOffsetAndHO2, Similarity Score: 89.47%
Strategy: Nostalgia, Similarity Score: 89.47%
Strategy: NostalgiaForInfinityV8_9_1, Similarity Score: 89.47%
Strategy: NostalgiaForInfinityNext2, Similarity Score: 86.84%
Strategy: NostalgiaForInfinityNext_960, Similarity Score: 86.84%
Strategy: nostaljiaforinfinitynext, Similarity Score: 86.84%
last change: 2024-05-03 00:03:43