The "BinHV27" strategy is a trading strategy that utilizes various technical indicators to make buy and sell decisions. Here is a summary of what the strategy does:
Timeframe: The strategy operates on 5-minute candlestick data. Indicators:
RSI (Relative Strength Index): Calculates the RSI indicator with a time period of 5.

EMA (Exponential Moving Average): Calculates the EMA indicator for the RSI values with a time period of 5.

ADX (Average Directional Index): Calculates the ADX indicator.

MINUS_DI: Calculates the MINUS_DI indicator. PLUS_DI: Calculates the PLUS_DI indicator. EMA for MINUS_DI: Calculates the EMA indicator for the MINUS_DI values with a time period of 25. EMA for PLUS_DI: Calculates the EMA indicator for the PLUS_DI values with a time period of 5. EMA for lows: Calculates the EMA indicator for the candlestick low prices with a time period of 60. EMA for highs: Calculates the EMA indicator for the candlestick high prices with a time period of 120. SMA (Simple Moving Average): Calculates the SMA indicator for the candlestick close prices with a time period of 120 and 240. Conditions for buying: The slowsma indicator is greater than 0. The close price is below the highsma indicator and the lowsma indicator. The minusdi indicator is greater than the minusdiema indicator. The RSI value is greater than or equal to the previous RSI value. Various combinations of conditions involving preparechangetrend, continueup, adx, bigup, bigdown, and emarsi indicators. Conditions for selling: Various combinations of conditions involving preparechangetrendconfirm, continueup, close price, highsma, emarsi, bigup, bigdown, slowingdown, minusdi, and slowsma indicators. The strategy sets a minimal ROI (Return on Investment) of 1 and a stop loss of -0.50. It populates the buy and sell signals in the dataframe based on the defined conditions. Please note that this is a high-level description, and for a more comprehensive understanding, it's recommended to review the code implementation and consult the original source or documentation.

EMA (Exponential Moving Average): Calculates the EMA indicator for the RSI values with a time period of 5.

ADX (Average Directional Index): Calculates the ADX indicator.

MINUS_DI: Calculates the MINUS_DI indicator. PLUS_DI: Calculates the PLUS_DI indicator. EMA for MINUS_DI: Calculates the EMA indicator for the MINUS_DI values with a time period of 25. EMA for PLUS_DI: Calculates the EMA indicator for the PLUS_DI values with a time period of 5. EMA for lows: Calculates the EMA indicator for the candlestick low prices with a time period of 60. EMA for highs: Calculates the EMA indicator for the candlestick high prices with a time period of 120. SMA (Simple Moving Average): Calculates the SMA indicator for the candlestick close prices with a time period of 120 and 240. Conditions for buying: The slowsma indicator is greater than 0. The close price is below the highsma indicator and the lowsma indicator. The minusdi indicator is greater than the minusdiema indicator. The RSI value is greater than or equal to the previous RSI value. Various combinations of conditions involving preparechangetrend, continueup, adx, bigup, bigdown, and emarsi indicators. Conditions for selling: Various combinations of conditions involving preparechangetrendconfirm, continueup, close price, highsma, emarsi, bigup, bigdown, slowingdown, minusdi, and slowsma indicators. The strategy sets a minimal ROI (Return on Investment) of 1 and a stop loss of -0.50. It populates the buy and sell signals in the dataframe based on the defined conditions. Please note that this is a high-level description, and for a more comprehensive understanding, it's recommended to review the code implementation and consult the original source or documentation.

stoploss:-0.5timeframe:5mhash(sha256):4d21dcfdbdfefc1965ae7f7259b75e3bf9bb72638616499cc9470407de464341indicators:preparechangetrend close lowsma delta trend minusdi slowingdown continueup slowsma highsma bigdown emarsi bigup minusdiema adx plusdi fastsma preparechangetrendconfirm rsi plusdiemaSimilar Strategies:(based on used indicators)

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Strategy: SMAIP3_combine, Similarity Score: 90.48%last change: 2022-07-11 02:28:15