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The ClucHAnixV2 strategy is a trading strategy that utilizes various indicators and conditions to make buying and selling decisions. Here is a breakdown of what the strategy does:
In the populate_indicators method:
It calculates the Heikin-Ashi candles based on the input dataframe. It calculates Bollinger Bands based on the Heikin-Ashi typical price.
It calculates various additional indicators such as delta values, moving averages (EMA), and ROCR (Rate of Change Ratio).
It fetches informative dataframes for different timeframes and merges them with the original dataframe.
In the populate_buy_trend method: It sets the initial buy tag as "clucha" for all rows in the dataframe. It applies several conditions to identify potential buying opportunities: ROCR value in the 1-hour timeframe is greater than a specified threshold. Either MACD in the 1-day timeframe is higher than MACD signal or the close price in the 1-day timeframe is higher than a 90-day EMA. Additional conditions related to Bollinger Bands, delta values, and the relationship between current and previous candle closes. In the populate_sell_trend method: It sets the initial sell tag as 0 for all rows in the dataframe. It applies several conditions to identify potential selling opportunities: Fisher value is higher than a specified threshold. The high price in the current candle is lower than the high price in the previous two candles, and the close price is also lower than the previous close. Additional conditions related to fast exponential moving average (EMA), the relationship between the close price and the middle Bollinger Band, and the trading volume. The ClucDCA class inherits from ClucHAnixV2 and likely adds additional functionality or customizations specific to the DCA (Dollar-Cost Averaging) trading strategy.
It calculates various additional indicators such as delta values, moving averages (EMA), and ROCR (Rate of Change Ratio).
It fetches informative dataframes for different timeframes and merges them with the original dataframe.
In the populate_buy_trend method: It sets the initial buy tag as "clucha" for all rows in the dataframe. It applies several conditions to identify potential buying opportunities: ROCR value in the 1-hour timeframe is greater than a specified threshold. Either MACD in the 1-day timeframe is higher than MACD signal or the close price in the 1-day timeframe is higher than a 90-day EMA. Additional conditions related to Bollinger Bands, delta values, and the relationship between current and previous candle closes. In the populate_sell_trend method: It sets the initial sell tag as 0 for all rows in the dataframe. It applies several conditions to identify potential selling opportunities: Fisher value is higher than a specified threshold. The high price in the current candle is lower than the high price in the previous two candles, and the close price is also lower than the previous close. Additional conditions related to fast exponential moving average (EMA), the relationship between the close price and the middle Bollinger Band, and the trading volume. The ClucDCA class inherits from ClucHAnixV2 and likely adds additional functionality or customizations specific to the DCA (Dollar-Cost Averaging) trading strategy.
stoploss: -0.99 timeframe: 1m hash(sha256): cb64a7c993cbc41e6eb32f5bbff862f8911652d494d1413b1e396812ebb54e9a
Was not able to fetch indicators from Strategyfile.
last change: 2022-08-02 16:31:51