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The strategy, called "Obelisk_TradePro_Ichi_v2_2," is a trading strategy implemented in a backtesting website. It involves the following components:
populate_indicators function: This function calculates and populates the indicators for the strategy. If the strategy is running in backtest or hyperopt mode, it checks if the timeframe is either 5 minutes or 1 minute.
The indicators are computed based on the provided dataframe and metadata.
If the timeframe matches the informative timeframe, the indicators are calculated directly on the dataframe.
Otherwise, it retrieves informative data from the data provider and merges it with the original dataframe. Certain columns are skipped during the merge. The function returns the updated dataframe. populate_buy_trend function: This function populates the buy signal in the dataframe. It sets the 'buy' column to 1 when the 'go_long' indicator crosses above zero. populate_sell_trend function: This function populates the sell signal in the dataframe. It sets the 'sell' column to 1 when the following conditions are met: 'ssl_high' indicator is equal to 0. Either the 'tenkan_sen' indicator is less than the 'kijun_sen' indicator or the 'close' price is less than the 'kijun_sen' indicator. Overall, the strategy uses various indicators and their interactions to determine the buy and sell signals in the provided dataframe.
The indicators are computed based on the provided dataframe and metadata.
If the timeframe matches the informative timeframe, the indicators are calculated directly on the dataframe.
Otherwise, it retrieves informative data from the data provider and merges it with the original dataframe. Certain columns are skipped during the merge. The function returns the updated dataframe. populate_buy_trend function: This function populates the buy signal in the dataframe. It sets the 'buy' column to 1 when the 'go_long' indicator crosses above zero. populate_sell_trend function: This function populates the sell signal in the dataframe. It sets the 'sell' column to 1 when the following conditions are met: 'ssl_high' indicator is equal to 0. Either the 'tenkan_sen' indicator is less than the 'kijun_sen' indicator or the 'close' price is less than the 'kijun_sen' indicator. Overall, the strategy uses various indicators and their interactions to determine the buy and sell signals in the provided dataframe.
startup_candle_count : 180 chikou_high: -100.000%
Biased Indicators
chikou_span
stoploss: -0.99 timeframe: 5m hash(sha256): 4f81ab25dbd9680809d4207b399d0fc3b5ae88d52949552095cf107e974f1cba indicators: rmifast close senkou_a tenkan_sen cloud_red smaHigh chikou_high leading_senkou_span_a ATR ssl_up sslDown rocr leading_senkou_span_b hlv smaLow go_long high sslUp kijun_sen senkou_span_a chikou_span senkou_b ssl_down senkou_span_b ssl_high cloud_green runmode low future_green date open high low close volume
Similar Strategies: (based on used indicators)
Strategy: Obelisk_TradePro_Ichi_v2_2_667, Similarity Score: 97.22%
Strategy: Obelisk_Ichimoku_Slow_v1_1, Similarity Score: 88.89%
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Strategy: Obelisk_Ichimoku_Slow_v1_1_674, Similarity Score: 88.89%
Strategy: Obelisk_TradePro_Ichi_v2_1, Similarity Score: 86.11%
Strategy: Obelisk_Ichimoku_Slow_v1, Similarity Score: 83.33%
Strategy: Obelisk_Ichimoku_Slow_v1_3_338, Similarity Score: 83.33%
Strategy: Obelisk_Ichimoku_Slow_v1_671, Similarity Score: 83.33%
Strategy: Obelisk_Ichimoku_ZEMA_v1, Similarity Score: 83.33%
Strategy: Obelisk_Ichimoku_ZEMA_v1_555, Similarity Score: 83.33%
Strategy: TestStrat01, Similarity Score: 83.33%
Strategy: obelisk_ichi_slow, Similarity Score: 83.33%
last change: 2023-07-05 06:01:35