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The SampleStrategy class is a trading strategy that implements the IStrategy interface. It consists of three main methods: populate_indicators, populate_buy_trend, and populate_sell_trend. The populate_indicators method takes a DataFrame containing exchange data and adds several technical indicators to it.
These indicators include ADX (Average Directional Index), RSI (Relative Strength Index), stochastic fastd and fastk, MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), Bollinger Bands, SAR (Stop and Reverse), TEMA (Triple Exponential Moving Average), and HTSINE (Hilbert Transform - SineWave).
The method returns the DataFrame with the added indicators.
The populate_buy_trend method populates the buy signal for the given DataFrame based on the values of the technical indicators. In this strategy, a buy signal is generated when the RSI crosses above 10 and the TEMA is below the lower Bollinger Band. The method modifies the DataFrame by adding a 'buy' column with a value of 1 for the corresponding buy signals. The populate_sell_trend method populates the sell signal for the given DataFrame based on the values of the technical indicators. In this strategy, a sell signal is generated when the RSI crosses above 90 and the TEMA is above the upper Bollinger Band. The method modifies the DataFrame by adding a 'sell' column with a value of 1 for the corresponding sell signals. Overall, this strategy uses various technical indicators to determine buy and sell signals based on certain conditions.
These indicators include ADX (Average Directional Index), RSI (Relative Strength Index), stochastic fastd and fastk, MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), Bollinger Bands, SAR (Stop and Reverse), TEMA (Triple Exponential Moving Average), and HTSINE (Hilbert Transform - SineWave).
The method returns the DataFrame with the added indicators.
The populate_buy_trend method populates the buy signal for the given DataFrame based on the values of the technical indicators. In this strategy, a buy signal is generated when the RSI crosses above 10 and the TEMA is below the lower Bollinger Band. The method modifies the DataFrame by adding a 'buy' column with a value of 1 for the corresponding buy signals. The populate_sell_trend method populates the sell signal for the given DataFrame based on the values of the technical indicators. In this strategy, a sell signal is generated when the RSI crosses above 90 and the TEMA is above the upper Bollinger Band. The method modifies the DataFrame by adding a 'sell' column with a value of 1 for the corresponding sell signals. Overall, this strategy uses various technical indicators to determine buy and sell signals based on certain conditions.
stoploss: -0.1 timeframe: 1m hash(sha256): 6362a2c5a2ddacd628bcd1e096f5361ba73c24d079af35354e9d5958095fd845 indicators: upper htsine tema asks close mfi bb_lowerband bb_percent macdhist fastk htleadsine leadsine fastd best_ask sar bids macdsignal mid bb_width macd best_bid adx lower bb_middleband rsi bb_upperband sine
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last change: 2023-08-16 11:47:23