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The strategijaconsensus strategy is a backtesting strategy that evaluates various technical indicators on a given DataFrame of trading data. These indicators are used to generate buy and sell signals. In the populate_indicators method, the strategy calculates several technical indicators such as RSI, Stochastic, MACD, Hull, VWMA, TEMA, EMA, SMA, Laguerre, OSC, CMF, CCI, CMO, Ichimoku, Ultimate Oscillator, Williams, Momentum, and ADX.
These indicators are evaluated on the DataFrame and their scores are stored in the DataFrame as additional columns (consensus_buy and consensus_sell).
The populate_buy_trend method populates the buy signal based on the calculated indicators.
It sets the 'buy' column to 1 when the consensus_buy score is greater than 34 and the volume is greater than 0. Similarly, the populate_sell_trend method populates the sell signal. It sets the 'sell' column to 1 when the consensus_sell score is greater than 88 and the volume is greater than 0. Overall, this strategy combines multiple technical indicators to generate buy and sell signals based on predefined thresholds.
These indicators are evaluated on the DataFrame and their scores are stored in the DataFrame as additional columns (consensus_buy and consensus_sell).
The populate_buy_trend method populates the buy signal based on the calculated indicators.
It sets the 'buy' column to 1 when the consensus_buy score is greater than 34 and the volume is greater than 0. Similarly, the populate_sell_trend method populates the sell signal. It sets the 'sell' column to 1 when the consensus_sell score is greater than 88 and the volume is greater than 0. Overall, this strategy combines multiple technical indicators to generate buy and sell signals based on predefined thresholds.
stoploss: -0.0203 timeframe: 30m hash(sha256): 8c2050cdda462a05644bf7da88a0af3364df9e904a9a592e805c17a8b31e4710 indicators: sell volume consensus_buy buy consensus_sell
No similar strategies found. (based on used indicators)
last change: 2023-07-01 22:14:36