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The EMABreakout strategy is a trading strategy that uses several technical indicators to generate buy and sell signals. Here is a breakdown of what the strategy does:
populate_indicators: This function adds various technical indicators to the given DataFrame. The indicators used in this strategy are:
RSI (Relative Strength Index)
MACD (Moving Average Convergence Divergence) and its components (macd, macdsignal, macdhist)
Bollinger Bands (bb_lowerband, bb_middleband, bb_upperband) and their derived metrics (bb_percent, bb_width)
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
SAR (Stop and Reverse)
populate_entry_trend: Based on the populated indicators, this function determines the buy signal for the DataFrame.
The conditions for a buy signal are: Volume is greater than 0 If the MACD histogram is enabled, it should be greater than or equal to 0 The close price crosses above the EMA (Exponential Moving Average) populate_exit_trend: This function determines the sell signal for the DataFrame.
The conditions for a sell signal are: If the sell_hold parameter is enabled, the sell signal is set to 0 (hold position) The close price crosses below the EMA (Exponential Moving Average) The strategy combines these indicators and conditions to generate buy and sell signals for backtesting trading strategies.
The conditions for a buy signal are: Volume is greater than 0 If the MACD histogram is enabled, it should be greater than or equal to 0 The close price crosses above the EMA (Exponential Moving Average) populate_exit_trend: This function determines the sell signal for the DataFrame.
The conditions for a sell signal are: If the sell_hold parameter is enabled, the sell signal is set to 0 (hold position) The close price crosses below the EMA (Exponential Moving Average) The strategy combines these indicators and conditions to generate buy and sell signals for backtesting trading strategies.
stoploss: -0.333 timeframe: 5m hash(sha256): 0629a69e9c5734297b4cbfce409be1b39f15ae5bdfb02680540807db0b8ecfb5 indicators: macdsignal upper mid lower ema volume bb_width bb_middleband rsi close macd bb_lowerband bb_upperband bb_percent macdhist sar sma
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last change: 2024-04-29 13:13:59