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The NostalgiaForInfinityV7 strategy is a backtesting strategy for trading. It implements several indicators and conditions to determine when to buy assets. In the populate_indicators function, the strategy calculates various indicators based on the provided dataframe and metadata.
It includes informative 1-hour indicators and merges them with the main timeframe indicators.
The populate_buy_trend function is responsible for populating the buy signals.
It defines different sets of conditions for each buy scenario (buy_01, buy_02, buy_03, etc.). Each set of conditions consists of multiple protections and logic checks. These protections include checks based on exponential moving averages (EMAs), close price relative to EMAs, simple moving averages (SMAs), safe dips, safe pumps, and more. The logic checks involve comparisons between different indicators such as RSI, MFI, Bollinger Bands, and volume. If the corresponding buy condition is enabled (buy_condition_1_enable, buy_condition_2_enable, etc.), the strategy combines the conditions for that particular scenario and appends them to the conditions list. Ultimately, the strategy generates trigger signals (buy_01_trigger, buy_02_trigger, etc.) based on the combined conditions for each buy scenario. It's important to note that this description provides an overview of the strategy's structure and functionality. To fully understand its intricacies and effectiveness, further analysis and examination of the specific indicators, parameters, and conditions would be required.
It includes informative 1-hour indicators and merges them with the main timeframe indicators.
The populate_buy_trend function is responsible for populating the buy signals.
It defines different sets of conditions for each buy scenario (buy_01, buy_02, buy_03, etc.). Each set of conditions consists of multiple protections and logic checks. These protections include checks based on exponential moving averages (EMAs), close price relative to EMAs, simple moving averages (SMAs), safe dips, safe pumps, and more. The logic checks involve comparisons between different indicators such as RSI, MFI, Bollinger Bands, and volume. If the corresponding buy condition is enabled (buy_condition_1_enable, buy_condition_2_enable, etc.), the strategy combines the conditions for that particular scenario and appends them to the conditions list. Ultimately, the strategy generates trigger signals (buy_01_trigger, buy_02_trigger, etc.) based on the combined conditions for each buy scenario. It's important to note that this description provides an overview of the strategy's structure and functionality. To fully understand its intricacies and effectiveness, further analysis and examination of the specific indicators, parameters, and conditions would be required.
stoploss: -0.096 timeframe: 5m hash(sha256): 87d5085d32f7a8b9f21a41f20aa887821acc4642b9b478f966e3e3a74723a151 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: 2023-11-03 05:57:14