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The Strategy003 class is an implementation of a trading strategy that uses various technical indicators to generate buy and sell signals for a given DataFrame of price data. In the populate_indicators method, several technical indicators are calculated and added to the DataFrame. These indicators include:
MFI (Money Flow Index): It measures the buying and selling pressure in a security.
Stochastic Fast: It is a momentum indicator that compares the current closing price with the range of prices over a specified period.
RSI (Relative Strength Index): It measures the magnitude of recent price changes to evaluate overbought or oversold conditions.
Fisher RSI: It is a transformed version of RSI that maps the values between -1 and 1. Bollinger Bands: They represent a range of price volatility and are used to identify overbought or oversold conditions. EMA (Exponential Moving Average): It calculates the average price over a specified period with more weight given to recent prices. SAR (Stop and Reverse): It helps determine potential reversals in the price direction. SMA (Simple Moving Average): It calculates the average price over a specified period. The populate_buy_trend method determines the buy signals based on specific conditions in the DataFrame. These conditions include the RSI being below 28 and above 0, the closing price being below the SMA, the Fisher RSI being below -0.94, the MFI being below 16.0, the EMA50 being greater than EMA100 or a crossover of EMA5 and EMA10 occurring, and the Stochastic Fast's fastd value being greater than fastk and above 0. The populate_sell_trend method determines the sell signals based on specific conditions in the DataFrame. These conditions include the SAR value being greater than the closing price and the Fisher RSI being greater than 0.3. Overall, this strategy aims to generate buy signals when certain technical indicators align and sell signals when other conditions are met. It combines multiple indicators to make trading decisions based on the analyzed price data.
Stochastic Fast: It is a momentum indicator that compares the current closing price with the range of prices over a specified period.
RSI (Relative Strength Index): It measures the magnitude of recent price changes to evaluate overbought or oversold conditions.
Fisher RSI: It is a transformed version of RSI that maps the values between -1 and 1. Bollinger Bands: They represent a range of price volatility and are used to identify overbought or oversold conditions. EMA (Exponential Moving Average): It calculates the average price over a specified period with more weight given to recent prices. SAR (Stop and Reverse): It helps determine potential reversals in the price direction. SMA (Simple Moving Average): It calculates the average price over a specified period. The populate_buy_trend method determines the buy signals based on specific conditions in the DataFrame. These conditions include the RSI being below 28 and above 0, the closing price being below the SMA, the Fisher RSI being below -0.94, the MFI being below 16.0, the EMA50 being greater than EMA100 or a crossover of EMA5 and EMA10 occurring, and the Stochastic Fast's fastd value being greater than fastk and above 0. The populate_sell_trend method determines the sell signals based on specific conditions in the DataFrame. These conditions include the SAR value being greater than the closing price and the Fisher RSI being greater than 0.3. Overall, this strategy aims to generate buy signals when certain technical indicators align and sell signals when other conditions are met. It combines multiple indicators to make trading decisions based on the analyzed price data.
stoploss: -0.1 timeframe: 5m hash(sha256): 4fccb2f158d121ebe4dfc2c5699518f86e3565f01d39f6d4f564927bbe3803fd
Was not able to fetch indicators from Strategyfile.
last change: 2022-07-11 02:40:38