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The stochtest strategy is a backtesting strategy that uses the Stochastic Oscillator indicator to generate buy and sell signals. Here's a breakdown of how the strategy works:
Import necessary libraries and modules. Define strategy parameters:
stoploss: Represents the stop loss value for trades (-0.05 in this case).

timeframe: Specifies the timeframe for the strategy (1 hour in this case).

minimal_roi: Defines the minimum return on investment required for a trade to be considered successful (set to 1000).

startup_candle_count: Specifies the number of initial candles required for the strategy to start generating signals (set to 60). buy_fastk, buy_slowk, buy_slowd: Integer parameters that determine the values used for the corresponding indicators. sell_slowk, sell_slowd: Integer parameters that define the values at which to trigger a sell signal. Implement the populate_indicators function: Calculates the Stochastic Oscillator indicator with different combinations of the specified parameter values for buy_fastk, buy_slowk, and buy_slowd. Appends the calculated indicator values to the dataframe. Implement the populate_buy_trend function: Defines a list of conditions for generating a buy signal. Checks if the Stochastic Oscillator lines have crossed above each other, indicating a potential buying opportunity. If the conditions are met, marks the corresponding rows in the dataframe with a "buy" signal. Implement the populate_sell_trend function: Defines a list of conditions for generating a sell signal. Checks if the Stochastic Oscillator lines have fallen below the specified sell_slowk and sell_slowd values, indicating a potential selling opportunity. If the conditions are met, marks the corresponding rows in the dataframe with a "sell" signal. The strategy utilizes the Stochastic Oscillator to identify potential buying and selling opportunities based on the specified parameter values.

timeframe: Specifies the timeframe for the strategy (1 hour in this case).

minimal_roi: Defines the minimum return on investment required for a trade to be considered successful (set to 1000).

startup_candle_count: Specifies the number of initial candles required for the strategy to start generating signals (set to 60). buy_fastk, buy_slowk, buy_slowd: Integer parameters that determine the values used for the corresponding indicators. sell_slowk, sell_slowd: Integer parameters that define the values at which to trigger a sell signal. Implement the populate_indicators function: Calculates the Stochastic Oscillator indicator with different combinations of the specified parameter values for buy_fastk, buy_slowk, and buy_slowd. Appends the calculated indicator values to the dataframe. Implement the populate_buy_trend function: Defines a list of conditions for generating a buy signal. Checks if the Stochastic Oscillator lines have crossed above each other, indicating a potential buying opportunity. If the conditions are met, marks the corresponding rows in the dataframe with a "buy" signal. Implement the populate_sell_trend function: Defines a list of conditions for generating a sell signal. Checks if the Stochastic Oscillator lines have fallen below the specified sell_slowk and sell_slowd values, indicating a potential selling opportunity. If the conditions are met, marks the corresponding rows in the dataframe with a "sell" signal. The strategy utilizes the Stochastic Oscillator to identify potential buying and selling opportunities based on the specified parameter values.

stoploss:-0.05timeframe:1hhash(sha256):c34bc45afbaf4b280f5deccf10410d86bcb26e12304148451a48c455f1c630caindicators:high slowk_val2_val1 close slowd_val3_val1 low

No similar strategies found. (based on used indicators)last change: 2023-06-24 09:07:34