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The NostalgiaForInfinityV3 strategy is designed for backtesting trading strategies on a website. It consists of several methods that define different aspects of the strategy. The populate_indicators method is responsible for calculating and populating the required indicators for the strategy.
It takes a DataFrame and metadata as inputs and returns the modified DataFrame with the indicators added.
The populate_buy_trend method defines the conditions for entering a buy trade.
It evaluates various conditions and generates a list of buy signals based on those conditions. Each condition is represented as a logical expression involving different indicators and parameters. The strategy includes multiple buy conditions (labeled as buy_condition_1 to buy_condition_9). Each condition checks specific criteria such as moving averages, relative strength index (RSI), volume, and other technical indicators to determine if a buy trade should be executed. The strategy uses a combination of indicators such as exponential moving averages (EMA), simple moving averages (SMA), Bollinger Bands (BB), volume averages, and RSI to identify potential buy opportunities. The conditions consider factors like price movements, dips, trend confirmations, and volume. By applying these conditions, the strategy aims to capture favorable market conditions that indicate potential profitable trades. The specific parameter values and thresholds used in the conditions can be customized based on the trader's preferences. Overall, the NostalgiaForInfinityV3 strategy focuses on technical analysis indicators and predefined conditions to generate buy signals for backtesting trading strategies.
It takes a DataFrame and metadata as inputs and returns the modified DataFrame with the indicators added.
The populate_buy_trend method defines the conditions for entering a buy trade.
It evaluates various conditions and generates a list of buy signals based on those conditions. Each condition is represented as a logical expression involving different indicators and parameters. The strategy includes multiple buy conditions (labeled as buy_condition_1 to buy_condition_9). Each condition checks specific criteria such as moving averages, relative strength index (RSI), volume, and other technical indicators to determine if a buy trade should be executed. The strategy uses a combination of indicators such as exponential moving averages (EMA), simple moving averages (SMA), Bollinger Bands (BB), volume averages, and RSI to identify potential buy opportunities. The conditions consider factors like price movements, dips, trend confirmations, and volume. By applying these conditions, the strategy aims to capture favorable market conditions that indicate potential profitable trades. The specific parameter values and thresholds used in the conditions can be customized based on the trader's preferences. Overall, the NostalgiaForInfinityV3 strategy focuses on technical analysis indicators and predefined conditions to generate buy signals for backtesting trading strategies.
stoploss: -0.99 timeframe: 5m hash(sha256): f745f353b128e5ac20779b3497c89a093b9e36d68c98bcaedfc5eab1fe15820c indicators: sma_200_1h upper ema_200 ema_50 safe_dips jaw close smma_jaw ema_15 tail sma_5 bb_lowerband mfi ema_200_1h bbdelta volume ema_100_1h closedelta sma_50 open volume_mean_30 ema_50_1h bb_upperband_1h sma_200 volume_mean_4 mid teeth rsi_1h ema_100 smma_teeth lower ema_12 bb_middleband rsi sma_200_dec bb_upperband ema_26 lips low smma_lips ema_15_1h
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last change: 2023-04-26 08:29:18