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The NASOSv5 strategy is a trading strategy that aims to generate buy and sell signals based on various indicators. Here is a brief description of what the strategy does:
populate_indicators(): This method populates the indicators used in the strategy by merging the informative 15-minute data with the current timeframe data. It returns the updated dataframe with indicators.
populate_buy_trend(): This method generates buy signals based on specific conditions.
The strategy checks various criteria, including RSI (Relative Strength Index), moving averages, EWO (Elliott Wave Oscillator), and volume.
If the conditions are met, the strategy marks the corresponding buy signals in the dataframe. populate_sell_trend(): This method generates sell signals based on specific conditions. The strategy considers factors such as moving averages, RSI, volume, and the relationship between fast and slow RSI. If the conditions are met, the strategy marks the corresponding sell signals in the dataframe. The strategy aims to identify potential buying opportunities when certain indicators align and selling opportunities when specific criteria are met. It utilizes indicators like RSI, moving averages, and EWO to make these buy and sell decisions.
populate_buy_trend(): This method generates buy signals based on specific conditions.
The strategy checks various criteria, including RSI (Relative Strength Index), moving averages, EWO (Elliott Wave Oscillator), and volume.
If the conditions are met, the strategy marks the corresponding buy signals in the dataframe. populate_sell_trend(): This method generates sell signals based on specific conditions. The strategy considers factors such as moving averages, RSI, volume, and the relationship between fast and slow RSI. If the conditions are met, the strategy marks the corresponding sell signals in the dataframe. The strategy aims to identify potential buying opportunities when certain indicators align and selling opportunities when specific criteria are met. It utilizes indicators like RSI, moving averages, and EWO to make these buy and sell decisions.
stoploss: -0.15 timeframe: 5m hash(sha256): f3fa98f6674e4302de66b98a7fe886314fcd95cffcbf9fe59d90908c00e1512c
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last change: 2022-07-02 19:54:08