The CryptoFrog1 strategy is a trading strategy implemented as a class that inherits from the IStrategy interface. Here is a short description of what the strategy does:
populate_indicators: This method is used to populate indicators for the trading strategy. It takes a dataframe and metadata as inputs and returns a modified dataframe with indicators added.
The indicators include roc, atr, sroc, ssl-dir, rmi-up-trend, and candle-up-trend.
The strategy also handles different timeframes and merges informative data with the main dataframe.
populate_buy_trend: This method is responsible for populating the buy signals for the trading strategy. It takes a dataframe and metadata as inputs and returns a modified dataframe with buy signals marked based on various conditions and indicators. populate_sell_trend: This method populates the sell signals for the trading strategy. It takes a dataframe and metadata as inputs and returns a modified dataframe with sell signals marked based on specific conditions and indicators. Custom Stoploss: This section calculates the trade duration and checks if certain conditions are met to determine whether to exit the trade with a stoploss. Freqtrade ROI Overload: This section handles dynamic ROI (Return on Investment) functionality. It calculates the minimal ROI and determines the maximum profit based on the trade rate. It also checks various trend indicators (such as rmi-up-trend, ssl-dir, and candle-up-trend) to adjust the minimal ROI. Overall, the CryptoFrog1 strategy incorporates indicators, buy and sell signals, stoploss logic, and dynamic ROI functionality to execute trading decisions.
The indicators include roc, atr, sroc, ssl-dir, rmi-up-trend, and candle-up-trend.
The strategy also handles different timeframes and merges informative data with the main dataframe.
populate_buy_trend: This method is responsible for populating the buy signals for the trading strategy. It takes a dataframe and metadata as inputs and returns a modified dataframe with buy signals marked based on various conditions and indicators. populate_sell_trend: This method populates the sell signals for the trading strategy. It takes a dataframe and metadata as inputs and returns a modified dataframe with sell signals marked based on specific conditions and indicators. Custom Stoploss: This section calculates the trade duration and checks if certain conditions are met to determine whether to exit the trade with a stoploss. Freqtrade ROI Overload: This section handles dynamic ROI (Return on Investment) functionality. It calculates the minimal ROI and determines the maximum profit based on the trade rate. It also checks various trend indicators (such as rmi-up-trend, ssl-dir, and candle-up-trend) to adjust the minimal ROI. Overall, the CryptoFrog1 strategy incorporates indicators, buy and sell signals, stoploss logic, and dynamic ROI functionality to execute trading decisions.
stoploss: -0.085 timeframe: 5m hash(sha256): 4a848b71a2ba0392e48372b7c4472c227c7d250281bf6596fa2f67e522234bdb indicators: Smooth_HA_C upper active_trade HA_OpenHA_Closelow dmi_plus date open high low close volume emac emao emao_1h close HA_Close Smooth_HA_O srsi_d hhopen bb_lowerband mfi sqzmi HA_OpenHA_Closehigh fastk date candleuptrend date ssldir Smooth_HA_L HA_High srsi_k vfi candleup volume price_side rmi ssl candle any bbw_expansion dmi_minus rmiuptrend date roc date open fastd DI candleuptrend emao sar rmi high ssldir decaystart emac mid date sroc bb_width Smooth_HA_H hhclose opencloselow atr sroc hhhigh adx
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last change: 2024-04-28 16:11:46