The BinHV27 strategy is a trading strategy sponsored by a user named BinH. Here is a brief description of what the strategy does:
Timeframe: The strategy operates on 5-minute candlestick data. Indicators:
RSI (Relative Strength Index): Calculates the RSI with a time period of 5.
EMA (Exponential Moving Average): Calculates the EMA of RSI with a time period of 5.
ADX (Average Directional Index): Calculates the ADX.
MINUS_DI: Calculates the MINUS_DI. PLUS_DI: Calculates the PLUS_DI. EMA (Exponential Moving Average): Calculates the EMA of MINUS_DI with a time period of 25. EMA (Exponential Moving Average): Calculates the EMA of PLUS_DI with a time period of 5. EMA (Exponential Moving Average): Calculates the EMA of the low prices with a time period of 60. EMA (Exponential Moving Average): Calculates the EMA of the high prices with a time period of 120. SMA (Simple Moving Average): Calculates the SMA of the close prices with a time period of 120. SMA (Simple Moving Average): Calculates the SMA of the close prices with a time period of 240. Entry conditions (populate_buy_trend): The slow SMA is greater than 0. The close price is below the high SMA and the low SMA. The MINUS_DI is greater than its EMA. The RSI is greater than or equal to its previous value. Several combinations of conditions involving preparechangetrend, continueup, adx, bigup, bigdown, and emarsi. Exit conditions (populate_sell_trend): Based on various combinations of conditions involving preparechangetrendconfirm, continueup, bigup, bigdown, close price, highsma, emarsi, adx, slowingdown, minusdi, and slowsma. The strategy sets a minimal ROI (Return on Investment) of 1 and a stop loss of -0.50. It uses various technical indicators to generate buy and sell signals based on the specified conditions.
EMA (Exponential Moving Average): Calculates the EMA of RSI with a time period of 5.
ADX (Average Directional Index): Calculates the ADX.
MINUS_DI: Calculates the MINUS_DI. PLUS_DI: Calculates the PLUS_DI. EMA (Exponential Moving Average): Calculates the EMA of MINUS_DI with a time period of 25. EMA (Exponential Moving Average): Calculates the EMA of PLUS_DI with a time period of 5. EMA (Exponential Moving Average): Calculates the EMA of the low prices with a time period of 60. EMA (Exponential Moving Average): Calculates the EMA of the high prices with a time period of 120. SMA (Simple Moving Average): Calculates the SMA of the close prices with a time period of 120. SMA (Simple Moving Average): Calculates the SMA of the close prices with a time period of 240. Entry conditions (populate_buy_trend): The slow SMA is greater than 0. The close price is below the high SMA and the low SMA. The MINUS_DI is greater than its EMA. The RSI is greater than or equal to its previous value. Several combinations of conditions involving preparechangetrend, continueup, adx, bigup, bigdown, and emarsi. Exit conditions (populate_sell_trend): Based on various combinations of conditions involving preparechangetrendconfirm, continueup, bigup, bigdown, close price, highsma, emarsi, adx, slowingdown, minusdi, and slowsma. The strategy sets a minimal ROI (Return on Investment) of 1 and a stop loss of -0.50. It uses various technical indicators to generate buy and sell signals based on the specified conditions.
stoploss: -0.5 timeframe: 5m hash(sha256): 93997cbf52a01254a4b0abdabf18eac51d684658fe0135428562305fe28aec74 indicators: preparechangetrend close lowsma delta trend minusdi slowingdown continueup slowsma highsma bigdown emarsi bigup buy minusdiema adx plusdi fastsma preparechangetrendconfirm rsi dataframebuy plusdiema
Similar Strategies: (based on used indicators)
Strategy: BinHV27, Similarity Score: 95.65%
Strategy: BinHV27_4, Similarity Score: 95.65%
last change: 2024-04-28 05:02:29