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The ClucHAnix_5m strategy is a trading strategy that is used for backtesting. It involves the following steps:
Indicator Calculation: The strategy starts by calculating various indicators using the input dataframe. These indicators include Heikin-Ashi candlestick data, Bollinger Bands, EMA (Exponential Moving Average), ROCR (Rate of Change Ratio), RSI (Relative Strength Index), and Fisher Transform.
Informative Dataframe: The strategy obtains an informative dataframe for a higher timeframe (1 hour) to gather additional data for analysis.
Merging Informative Data: The informative dataframe is merged with the original dataframe to incorporate the higher timeframe data.
Populate Buy Trend: The strategy determines the buy signals based on certain conditions. These conditions include comparing the ROCR value to a threshold, checking various criteria related to Bollinger Bands, candlestick patterns, and EMA values. Populate Sell Trend: The strategy identifies the sell signals based on conditions such as the Fisher Transform value, candlestick patterns, EMA values, and trading volume. Output Dataframe: The strategy assigns a value of 1 to the 'buy' or 'sell' column in the dataframe to indicate the presence of a buy or sell signal. Overall, the ClucHAnix_5m strategy utilizes multiple indicators and conditions to generate buy and sell signals for backtesting trading strategies.
Informative Dataframe: The strategy obtains an informative dataframe for a higher timeframe (1 hour) to gather additional data for analysis.
Merging Informative Data: The informative dataframe is merged with the original dataframe to incorporate the higher timeframe data.
Populate Buy Trend: The strategy determines the buy signals based on certain conditions. These conditions include comparing the ROCR value to a threshold, checking various criteria related to Bollinger Bands, candlestick patterns, and EMA values. Populate Sell Trend: The strategy identifies the sell signals based on conditions such as the Fisher Transform value, candlestick patterns, EMA values, and trading volume. Output Dataframe: The strategy assigns a value of 1 to the 'buy' or 'sell' column in the dataframe to indicate the presence of a buy or sell signal. Overall, the ClucHAnix_5m strategy utilizes multiple indicators and conditions to generate buy and sell signals for backtesting trading strategies.
startup_candle_count : 168 ema_slow: -0.002% fisher: 0.001%
stoploss: -0.99 timeframe: 5m hash(sha256): d98ca50cc014e7705fce4eb4a43dc002d638f649d85a6ad4a9080127473ec157 indicators: rocr_1h ha_low close tail bb_lowerband bbdelta volume closedelta rocr open ema_fast volume_mean_slow ha_open fisher high mid ha_close ha_high lower bb_middleband rsi ema_slow low
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last change: 2023-12-01 02:05:21