The NostalgiaForInfinityV3 strategy is a trading strategy implemented in a backtesting website. It consists of several buy conditions that are evaluated to determine when to enter a trade. Here is a breakdown of the important parts of the strategy:
populate_indicators: This function populates the indicators used by the strategy, such as 'ema_50_1h', 'ema_200_1h', 'sma_200', etc., by merging informative dataframes and applying various calculations.
populate_buy_trend: This function defines the buy conditions for the strategy.
It checks multiple conditions using logical operators to decide whether to enter a trade.
The conditions include comparisons between different indicators and calculated values, such as moving averages, relative strength index (RSI), volume, etc. Here are some examples of the buy conditions: Buy Condition 1: Evaluates multiple indicators, volume, and price movements to determine if it's a suitable buying opportunity. Buy Condition 2: Checks if the closing price is below the simple moving average (sma_5) and meets other criteria related to indicators and price patterns. Buy Condition 3: Considers the relationship between the closing price, exponential moving averages (EMA), and other parameters. Buy Condition 4: Evaluates various indicators, moving averages, and price thresholds to identify potential buy signals. Buy Condition 5: Analyzes the relationship between different EMAs, volume, and price patterns to determine if it's a good time to buy. Buy Condition 6: Similar to Buy Condition 5 but with additional checks on the safe_dips and sma_200_1h. Buy Condition 7: Considers indicators, moving averages, RSI, and volume to identify potential buying opportunities. Buy Condition 8: Checks the relationship between different indicators, moving averages, and the Smoothed Moving Average (SMMA) of the Ichimoku Cloud. Buy Condition 9: Considers the closing price, EMA, and other conditions to determine if it's a suitable buying opportunity. These buy conditions are designed to capture different market scenarios and signal potential entry points for trades based on the specified criteria.
populate_buy_trend: This function defines the buy conditions for the strategy.
It checks multiple conditions using logical operators to decide whether to enter a trade.
The conditions include comparisons between different indicators and calculated values, such as moving averages, relative strength index (RSI), volume, etc. Here are some examples of the buy conditions: Buy Condition 1: Evaluates multiple indicators, volume, and price movements to determine if it's a suitable buying opportunity. Buy Condition 2: Checks if the closing price is below the simple moving average (sma_5) and meets other criteria related to indicators and price patterns. Buy Condition 3: Considers the relationship between the closing price, exponential moving averages (EMA), and other parameters. Buy Condition 4: Evaluates various indicators, moving averages, and price thresholds to identify potential buy signals. Buy Condition 5: Analyzes the relationship between different EMAs, volume, and price patterns to determine if it's a good time to buy. Buy Condition 6: Similar to Buy Condition 5 but with additional checks on the safe_dips and sma_200_1h. Buy Condition 7: Considers indicators, moving averages, RSI, and volume to identify potential buying opportunities. Buy Condition 8: Checks the relationship between different indicators, moving averages, and the Smoothed Moving Average (SMMA) of the Ichimoku Cloud. Buy Condition 9: Considers the closing price, EMA, and other conditions to determine if it's a suitable buying opportunity. These buy conditions are designed to capture different market scenarios and signal potential entry points for trades based on the specified criteria.
startup_candle_count : 400 ema_100_1h: 0.001% ema_200_1h: 0.078%
stoploss: -0.99 timeframe: 5m hash(sha256): 46c2fc7f57c8dd6d92cfeed3f0cd4bd2b5633f1138f513cdef32433512d26d14 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: 2024-05-02 12:21:25