The ClucMay72018 strategy is a trading strategy designed to backtest and analyze trading signals. It uses various technical indicators to generate buy and sell signals for a given financial instrument. Here's a brief explanation of what the strategy does:
Indicator Population: The strategy starts by populating several indicators on the provided DataFrame.
These indicators include: RSI (Relative Strength Index): Calculates the relative strength of the asset's price movements.
EMA (Exponential Moving Average): Calculates the exponential moving average of the RSI.
MACD (Moving Average Convergence Divergence): Calculates the MACD line based on the asset's price. ADX (Average Directional Index): Calculates the average directional movement of the asset's price. Bollinger Bands: Calculates the upper, middle, and lower bands based on the asset's typical price. EMA100: Calculates the exponential moving average of the asset's price. Buy Signal Generation: The strategy determines the conditions for generating a buy signal. It looks for the following criteria: The asset's price is below the EMA100. The asset's price is below 0.985 times the lower Bollinger Band. The asset's volume is below 20 times the rolling average of the previous 30 periods. Sell Signal Generation: The strategy determines the conditions for generating a sell signal. It looks for the following criteria: The asset's price is above the middle Bollinger Band. The strategy assigns a value of 1 to the "buy" column in the DataFrame when the buy conditions are met and a value of 1 to the "sell" column when the sell conditions are met. Overall, the ClucMay72018 strategy aims to identify potential buying opportunities when the price is relatively low and sell opportunities when the price exceeds the middle Bollinger Band. However, it's important to note that this description provides only a high-level overview, and the effectiveness of the strategy may vary depending on the specific financial instrument and market conditions.
These indicators include: RSI (Relative Strength Index): Calculates the relative strength of the asset's price movements.
EMA (Exponential Moving Average): Calculates the exponential moving average of the RSI.
MACD (Moving Average Convergence Divergence): Calculates the MACD line based on the asset's price. ADX (Average Directional Index): Calculates the average directional movement of the asset's price. Bollinger Bands: Calculates the upper, middle, and lower bands based on the asset's typical price. EMA100: Calculates the exponential moving average of the asset's price. Buy Signal Generation: The strategy determines the conditions for generating a buy signal. It looks for the following criteria: The asset's price is below the EMA100. The asset's price is below 0.985 times the lower Bollinger Band. The asset's volume is below 20 times the rolling average of the previous 30 periods. Sell Signal Generation: The strategy determines the conditions for generating a sell signal. It looks for the following criteria: The asset's price is above the middle Bollinger Band. The strategy assigns a value of 1 to the "buy" column in the DataFrame when the buy conditions are met and a value of 1 to the "sell" column when the sell conditions are met. Overall, the ClucMay72018 strategy aims to identify potential buying opportunities when the price is relatively low and sell opportunities when the price exceeds the middle Bollinger Band. However, it's important to note that this description provides only a high-level overview, and the effectiveness of the strategy may vary depending on the specific financial instrument and market conditions.
stoploss: -0.05 timeframe: 5m hash(sha256): 8a97873cb133d1edabd50ccab53afc79ccc2cded15b026cb4b4b87fd2635162c indicators: upper adx lower mid volume ema100 bb_middleband rsi close emarsi macd bb_lowerband bb_upperband
No similar strategies found. (based on used indicators)
last change: 2024-04-28 15:33:25