The NSeq strategy is a trading strategy that utilizes various technical indicators to make buy and sell decisions. Here is a short description of what the strategy does:
The strategy first populates the DataFrame with several technical indicators such as 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), and SAR (Stop and Reverse). In the populate_entry_trend function, the strategy defines conditions for entering a trade.
These conditions include checks on indicators such as MFI, Fisher RSI, Bollinger Bands, and candlestick patterns.
If the conditions are met, the 'buy' column in the DataFrame is set to 1 to indicate a buy signal.
In the populate_exit_trend function, the strategy determines the sell signal based on certain conditions. In this case, the 'sell' column is set to 0 for all rows where the close price is greater than or equal to 0. Overall, the strategy uses a combination of technical indicators to generate buy signals based on specified conditions and sets a sell signal when the close price meets certain criteria.
These conditions include checks on indicators such as MFI, Fisher RSI, Bollinger Bands, and candlestick patterns.
If the conditions are met, the 'buy' column in the DataFrame is set to 1 to indicate a buy signal.
In the populate_exit_trend function, the strategy determines the sell signal based on certain conditions. In this case, the 'sell' column is set to 0 for all rows where the close price is greater than or equal to 0. Overall, the strategy uses a combination of technical indicators to generate buy signals based on specified conditions and sets a sell signal when the close price meets certain criteria.
stoploss: 0 timeframe: 5m hash(sha256): f3e249773bf27cfdc8045cea2cec9acadc21fbf404bcb7494c1f7f6e973e11da 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: 2024-04-29 20:17:43