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Strategy: MACDTurn_2
Downloaded: 20230104
Stoploss: 0
The MACDTurn strategy is a trading strategy that uses various technical indicators to generate buy and sell signals. Here is a breakdown of what the strategy does: The populate_indicators method adds several technical indicators to the input DataFrame. These indicators include ADX, PLUS_DM, PLUS_DI, MINUS_DM, MINUS_DI, RSI, Fisher RSI, Stochastic Fast, MACD, MFI, Bollinger Bands, EMA, SAR, and TEMA.

The populate_entry_trend method populates the buy signal based on the values of the indicators.

It applies certain conditions to determine when to generate a buy signal.

The conditions include ADX value, Delta values of DM, MFI value, SAR value, Fisher RSI value, MACD value, Bollinger Bands gain, MACD histogram value, and MACD histogram slope. The populate_exit_trend method populates the sell signal based on the values of the indicators. It applies certain conditions to determine when to generate a sell signal. The conditions include MACD value. The strategy uses these indicators and conditions to identify potential entry and exit points for trades. By backtesting this strategy on historical data, you can evaluate its performance and determine its effectiveness in generating profitable trading signals.

stoploss: 0
timeframe: 5m
hash(sha256): eb16e42d0ae7faa51e5cd5f6d604567932098c38b6ae670a86d1e49dfac94f18
indicators:
upper tema close dm_delta bb_gain
mfi bb_lowerband bb_percent macdhist_ave fastk
macdhist fastd dm_plus sar macdsignal
mid fisher_rsi bb_width di_plus fisher_rsi_norma
macd di_delta ema7 ema25 adx
lower bb_middleband rsi di_minus bb_upperband
macdhist_slope dm_minus

Similar Strategies: (based on used indicators)

Strategy: MACDTurn, Similarity Score: 96.97%
Strategy: BTCMACDCross, Similarity Score: 90.91%
Strategy: BTCMACDCross_2, Similarity Score: 90.91%
Strategy: MACDCross_2, Similarity Score: 90.91%
Strategy: SARCross, Similarity Score: 90.91%
Strategy: SARCross_2, Similarity Score: 90.91%

last change: 2024-04-29 01:46:23