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The NostalgiaForInfinityV6 strategy is a trading strategy that aims to generate buy signals based on a set of conditions. The strategy uses various indicators and protection mechanisms to determine when to enter a long position. In the populate_indicators method, the strategy calculates different indicators based on the provided DataFrame and metadata.
These indicators include informative_1h indicators and normal time frame indicators.
The resulting DataFrame is then returned.
The populate_buy_trend method is responsible for generating buy signals. It defines several conditions and protection mechanisms that need to be satisfied for a buy signal to be triggered. The protection mechanisms include checks based on exponential moving averages (EMA), close prices above EMAs, rising simple moving averages (SMA), and other factors such as safe dips and safe pump periods. The strategy defines multiple sets of conditions, denoted as buy_01_logic, buy_02_logic, buy_03_logic, and buy_04_logic. Each set of conditions is combined using logical AND operations (&). The conditions consider various factors such as EMAs, relative strength index (RSI), money flow index (MFI), Bollinger Bands, and volume. If a specific buy condition is enabled, the corresponding set of conditions is added to the conditions list. Finally, the strategy creates a new column in the DataFrame called 'buy_01_trigger', 'buy_02_trigger', 'buy_03_trigger', or 'buy_04_trigger' based on the triggered buy signals. Overall, the NostalgiaForInfinityV6 strategy uses a combination of technical indicators and conditions to generate buy signals, allowing users to backtest and evaluate its performance in a trading scenario.
These indicators include informative_1h indicators and normal time frame indicators.
The resulting DataFrame is then returned.
The populate_buy_trend method is responsible for generating buy signals. It defines several conditions and protection mechanisms that need to be satisfied for a buy signal to be triggered. The protection mechanisms include checks based on exponential moving averages (EMA), close prices above EMAs, rising simple moving averages (SMA), and other factors such as safe dips and safe pump periods. The strategy defines multiple sets of conditions, denoted as buy_01_logic, buy_02_logic, buy_03_logic, and buy_04_logic. Each set of conditions is combined using logical AND operations (&). The conditions consider various factors such as EMAs, relative strength index (RSI), money flow index (MFI), Bollinger Bands, and volume. If a specific buy condition is enabled, the corresponding set of conditions is added to the conditions list. Finally, the strategy creates a new column in the DataFrame called 'buy_01_trigger', 'buy_02_trigger', 'buy_03_trigger', or 'buy_04_trigger' based on the triggered buy signals. Overall, the NostalgiaForInfinityV6 strategy uses a combination of technical indicators and conditions to generate buy signals, allowing users to backtest and evaluate its performance in a trading scenario.
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stoploss: -0.277 timeframe: 5m hash(sha256): a097cfc1718eaf3280aa5a136c6ea2b916955fd72c646aee73e49f5acca62218 indicators: sell_pump_36_2_1h sell_pump_36_3_1h sma_200_1h upper safe_pump_36_normal_1h ema_35_1h cmf_1h length ema_200 ema_50 sell_pump_36_1 sell_pump_24_1 close ema_15 sell_pump_36_2 tail safe_pump_36_strict sell_pump_24_1_1h bb_lowerband safe_pump_24_strict sma_5 safe_pump_48_strict mfi ema_200_1h bbdelta ewo safe_pump_48_normal volume sell_pump_36_3 ema_100_1h closedelta sell_pump_48_1 sell_pump_36_1_1h ema_20 open safe_pump_36_loose safe_dips_loose safe_dips_normal safe_dips_strict sell_pump_48_1_1h vo
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Strategy: NostalgiaForInfinityV6, Similarity Score: 97.62%
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last change: 2024-08-02 09:38:07