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The NASOS strategy is a trading strategy implemented as a class called NASOS. It inherits from the IStrategy class. The strategy involves populating indicators on a given DataFrame and then making buy decisions based on certain conditions.
In the populate_indicators method, various indicators are calculated and added to the DataFrame.
These include RSI (Relative Strength Index), linear regression angle, moving averages, MACD (Moving Average Convergence Divergence), EMA (Exponential Moving Average), and others.
In the populate_buy_trend method, buy signals are generated based on several conditions. These conditions include the value of different indicators such as RSI, EWO (Elliott Wave Oscillator), and the relationship between the close price and moving averages. The strategy also considers volume and other factors in making buy decisions. Overall, the NASOS strategy aims to identify potential buying opportunities in the market by analyzing various technical indicators and applying specific conditions to generate buy signals.
In the populate_indicators method, various indicators are calculated and added to the DataFrame.
These include RSI (Relative Strength Index), linear regression angle, moving averages, MACD (Moving Average Convergence Divergence), EMA (Exponential Moving Average), and others.
In the populate_buy_trend method, buy signals are generated based on several conditions. These conditions include the value of different indicators such as RSI, EWO (Elliott Wave Oscillator), and the relationship between the close price and moving averages. The strategy also considers volume and other factors in making buy decisions. Overall, the NASOS strategy aims to identify potential buying opportunities in the market by analyzing various technical indicators and applying specific conditions to generate buy signals.
stoploss: -0.15 timeframe: 5m hash(sha256): 468ef2967aef53166abb0f91dfd6331d28147208e2999b1a2898b049f78d09b4
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last change: 2023-04-03 07:19:42