The "NSeq" strategy is a trading strategy that uses various technical indicators to generate buy and sell signals. Here is a brief description of what the strategy does:
In the "populate_indicators" function:
The strategy calculates and adds the following indicators to the DataFrame:
MFI (Money Flow Index)
SMA (Simple Moving Average)
MACD (Moving Average Convergence Divergence)
Stochastic Fast
RSI (Relative Strength Index)
Fisher RSI
Bollinger Bands
EMA (Exponential Moving Average)
SAR (Stop and Reverse)
In the "populate_buy_trend" function:
The strategy defines a set of conditions based on user-configurable parameters to determine when to generate a buy signal. The conditions include checks on MFI, Fisher RSI, Bollinger Bands, and the relationship between the close and open prices of candles.
Additional conditions are checked for a specified number of previous candles and a drop in price.
If the conditions are met, the "buy" column in the DataFrame is set to 1 to indicate a buy signal.
In the "populate_sell_trend" function: The strategy populates the "sell" column in the DataFrame with a default value of 0. No specific sell conditions are implemented in this function. Overall, the NSeq strategy combines various technical indicators to identify potential buying opportunities based on user-defined conditions. The sell signals are not explicitly defined in this strategy and would need to be implemented separately.
Additional conditions are checked for a specified number of previous candles and a drop in price.
If the conditions are met, the "buy" column in the DataFrame is set to 1 to indicate a buy signal.
In the "populate_sell_trend" function: The strategy populates the "sell" column in the DataFrame with a default value of 0. No specific sell conditions are implemented in this function. Overall, the NSeq strategy combines various technical indicators to identify potential buying opportunities based on user-defined conditions. The sell signals are not explicitly defined in this strategy and would need to be implemented separately.
stoploss: 0 timeframe: 5m hash(sha256): b27d67a4457c19a68c559e551e3b2d86e31abe2857aacb0814258faff59499c6 indicators: upper close bb_gain mfi bb_lowerband ema5 fastk sma open fastd ema10 sar macdsignal mid fisher_rsi ema100 macd lower bb_middleband rsi bb_upperband ema50
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last change: 2024-05-05 08:15:41