The NFI46 strategy is a trading strategy that involves multiple conditions to determine when to buy assets. It uses various indicators and technical analysis tools to identify potential buying opportunities. Here is a brief description of the important parts of the strategy:
populate_indicators: This function populates the indicators used by the strategy, including informative 1-hour indicators and normal time frame indicators.
populate_buy_trend: This function defines the buying conditions for the strategy.
It consists of multiple conditions (labeled as conditions), each representing a different buying scenario.
Some of the important conditions include:
Condition 1: Involves the comparison of moving averages (ema_50_1h and ema_200_1h) and various other factors like safe dips, safe pump, relative strength index (RSI), and money flow index (MFI). Condition 2: Considers the comparison of moving averages, safe pump conditions, volume, RSI, and other factors. Condition 3: Checks for the close price being higher than a certain moving average multiplied by a relative factor, along with other conditions related to safe pump, Bollinger Bands, and volume. Condition 4: Examines moving averages, safe dips, safe pump, Bollinger Bands, and volume. Condition 5: Considers moving averages, safe dips, safe pump, volume, and the relationship between exponential moving averages (EMA). Condition 6: Involves moving averages, safe dips, volume, and the relationship between exponential moving averages. Condition 7: Similar to Condition 6 but includes an additional RSI condition. Condition 8: Looks at the close price relative to a moving average, moving averages relationship, and the relationship between Smoothed Moving Averages (SMMA). Condition 9: Considers moving averages, safe dips, volume, and the relationship between simple moving average (SMA) and Bollinger Bands. These conditions represent different scenarios in which the strategy may generate a buy signal. The strategy evaluates these conditions based on the input data and returns a DataFrame indicating the buying opportunities.