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The ClucFiatSlow strategy is a trading strategy designed for backtesting. Here is a short description of what the strategy does:
It uses various indicators such as Bollinger Bands, Exponential Moving Averages (EMAs), Relative Strength Index (RSI), and Fisher Transform to make buy and sell decisions. The strategy has defined buy parameters (buy_params) and sell parameters (sell_params) that determine the conditions for buying and selling.
The buy conditions include criteria such as the Fisher RSI being below a certain threshold (fisher), the price being below the lower Bollinger Band (lower-bb1), and other specific conditions related to price movements and volumes.
The sell conditions include criteria such as the price being above a certain value calculated from Bollinger Bands (sell-bbmiddle-close), the EMA being above the price, the Fisher RSI being above a certain threshold (sell-fisher), and the volume being greater than zero.
The strategy also incorporates a ROI (Return on Investment) table (minimal_roi), which specifies different target returns at different time intervals. It includes a stop-loss parameter (stoploss) to limit potential losses and a trailing stop mechanism (trailing_stop) that adjusts the stop-loss level as the trade becomes profitable. The populate_indicators function calculates and adds various indicators to the input DataFrame, such as Bollinger Bands, EMAs, and RSI. The populate_buy_trend function uses the buy parameters and indicators to determine when to place a buy signal (represented by the value 1) in the DataFrame. The populate_sell_trend function uses the sell parameters and indicators to determine when to place a sell signal (represented by the value 1) in the DataFrame. The strategy includes custom order timeout functions (check_buy_timeout and check_sell_timeout) that cancel buy or sell orders if the price deviates too much from the expected level. Overall, the ClucFiatSlow strategy combines different indicators and conditions to generate buy and sell signals based on price movements, volumes, and technical analysis indicators.
The buy conditions include criteria such as the Fisher RSI being below a certain threshold (fisher), the price being below the lower Bollinger Band (lower-bb1), and other specific conditions related to price movements and volumes.
The sell conditions include criteria such as the price being above a certain value calculated from Bollinger Bands (sell-bbmiddle-close), the EMA being above the price, the Fisher RSI being above a certain threshold (sell-fisher), and the volume being greater than zero.
The strategy also incorporates a ROI (Return on Investment) table (minimal_roi), which specifies different target returns at different time intervals. It includes a stop-loss parameter (stoploss) to limit potential losses and a trailing stop mechanism (trailing_stop) that adjusts the stop-loss level as the trade becomes profitable. The populate_indicators function calculates and adds various indicators to the input DataFrame, such as Bollinger Bands, EMAs, and RSI. The populate_buy_trend function uses the buy parameters and indicators to determine when to place a buy signal (represented by the value 1) in the DataFrame. The populate_sell_trend function uses the sell parameters and indicators to determine when to place a sell signal (represented by the value 1) in the DataFrame. The strategy includes custom order timeout functions (check_buy_timeout and check_sell_timeout) that cancel buy or sell orders if the price deviates too much from the expected level. Overall, the ClucFiatSlow strategy combines different indicators and conditions to generate buy and sell signals based on price movements, volumes, and technical analysis indicators.
startup_candle_count : 48 rsi: 0.162% fisher-rsi: -3.324%
stoploss: -0.342 timeframe: 5m hash(sha256): e4f094baf5174fb7fc04a44eba80dd25cf400d85774c75749681361836f78811 indicators: closedeltaclose closebblower asks sellbbmiddleclose close tail bb1delta volume bbdeltaclose fisherrsi closedelta midbb2 ema_fast volume_mean_slow sellfisher fisher bids bbdeltatail lowerbb1 price rsi ema_slow low lowerbb2
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last change: 2023-08-03 16:02:10