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The strategy, named "ichitest," is implemented as a class that inherits from the "IStrategy" class. The strategy involves populating indicators and determining buy and sell trends based on certain conditions. In the "populate_indicators" method, the strategy calculates various indicators using the input dataframe and metadata.
It merges informative indicators from different timeframes into the main dataframe, removing unnecessary columns, and returns the updated dataframe.
The "populate_buy_trend" method is responsible for determining the buy signals.
It calculates different values based on the input dataframe, such as averages, moving averages, and stochastic RSI. It also calculates the Ichimoku Cloud values and checks for various conditions to identify buy opportunities. If any of the conditions are met, the corresponding buy signal is marked in the dataframe. The "populate_sell_trend" method determines the sell signals. It checks for conditions such as the relationship between conversion and base lines of Ichimoku Cloud, the values of stochastic RSI, and the price in relation to the T3 indicator. If any of the conditions are met, the corresponding sell signal is marked in the dataframe. The strategy involves using a combination of technical indicators, moving averages, Ichimoku Cloud, and stochastic RSI to identify potential buy and sell signals in the market.
It merges informative indicators from different timeframes into the main dataframe, removing unnecessary columns, and returns the updated dataframe.
The "populate_buy_trend" method is responsible for determining the buy signals.
It calculates different values based on the input dataframe, such as averages, moving averages, and stochastic RSI. It also calculates the Ichimoku Cloud values and checks for various conditions to identify buy opportunities. If any of the conditions are met, the corresponding buy signal is marked in the dataframe. The "populate_sell_trend" method determines the sell signals. It checks for conditions such as the relationship between conversion and base lines of Ichimoku Cloud, the values of stochastic RSI, and the price in relation to the T3 indicator. If any of the conditions are met, the corresponding sell signal is marked in the dataframe. The strategy involves using a combination of technical indicators, moving averages, Ichimoku Cloud, and stochastic RSI to identify potential buy and sell signals in the market.
stoploss: -0.99 timeframe: 5m hash(sha256): cf11834237b6b41dd3eb6177be5f5a9d07c5f3050ef57612a330058370692f19 indicators: ma prv1_srpead basic_ub close senkou_a tenkan_sen ema15m cloud_red Base_Line xe5 high_15m volume chikou_high leading_senkou_span_a xe1 senkou_asell ohcl1h date stochrsidsell leading_senkou_span_b masell leading_senkou_span_asell open_1h T3sell xe4 high_1h kijun_sen senkou_span_a chikou_span senkou_b Conversion_Linesell pmsell ema1h xe6 final_ub senkou_span_b close_15m curnt_srpead prv2_srpead pm Base_Linesell Conversion_Line basic_lb T3 xe2 stochrsiKsell final_lb open_15m leading_senkou_span_bse
No similar strategies found. (based on used indicators)
last change: 2022-12-05 01:07:20