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The "Pump" strategy is designed to take advantage of external buy signals by using the "/force_buy" command. Here is a breakdown of the important components of the strategy:
Minimal ROI: The strategy aims for a minimal return on investment (ROI) of 0.5. This value can be adjusted based on market conditions.
Timeframe: The strategy operates on a 1-minute timeframe.
This is the optimal timeframe chosen for the strategy.
Stoploss: The strategy has a predefined stoploss of -0.10, which means that if a trade reaches a loss of 10%, it will be closed. The strategy also uses a trailing stop, which means that the stoploss will be adjusted as the trade becomes profitable. Custom Stoploss: The strategy defines a custom stoploss function that takes into account the current time, trade information, current rate, and current profit. It sets different stoploss values based on the time elapsed since the trade was opened. For example, if more than 2 hours have passed since the trade was opened, the stoploss is set to -0.02. If more than 1 hour but less than 2 hours have passed, the stoploss is set to -0.05. Otherwise, the default stoploss of -0.10 is used. Populate Indicators: This function is responsible for populating indicators in the strategy's dataframe. In this case, it returns the original dataframe without any modifications. Populate Buy Trend: This function is responsible for determining the buy signals in the strategy's dataframe. It assigns a value of 1 to the 'buy' column for the rows that meet the buy conditions. The conditions for generating buy signals are not specified in the code snippet provided. Populate Sell Trend: This function is responsible for determining the sell signals in the strategy's dataframe. It assigns a value of 1 to the 'sell' column for the rows that meet the sell conditions. The conditions for generating sell signals are not specified in the code snippet provided. Overall, the "Pump" strategy aims to capitalize on external buy signals and achieve a minimal ROI while applying a stoploss and trailing stop to manage risk.
Timeframe: The strategy operates on a 1-minute timeframe.
This is the optimal timeframe chosen for the strategy.
Stoploss: The strategy has a predefined stoploss of -0.10, which means that if a trade reaches a loss of 10%, it will be closed. The strategy also uses a trailing stop, which means that the stoploss will be adjusted as the trade becomes profitable. Custom Stoploss: The strategy defines a custom stoploss function that takes into account the current time, trade information, current rate, and current profit. It sets different stoploss values based on the time elapsed since the trade was opened. For example, if more than 2 hours have passed since the trade was opened, the stoploss is set to -0.02. If more than 1 hour but less than 2 hours have passed, the stoploss is set to -0.05. Otherwise, the default stoploss of -0.10 is used. Populate Indicators: This function is responsible for populating indicators in the strategy's dataframe. In this case, it returns the original dataframe without any modifications. Populate Buy Trend: This function is responsible for determining the buy signals in the strategy's dataframe. It assigns a value of 1 to the 'buy' column for the rows that meet the buy conditions. The conditions for generating buy signals are not specified in the code snippet provided. Populate Sell Trend: This function is responsible for determining the sell signals in the strategy's dataframe. It assigns a value of 1 to the 'sell' column for the rows that meet the sell conditions. The conditions for generating sell signals are not specified in the code snippet provided. Overall, the "Pump" strategy aims to capitalize on external buy signals and achieve a minimal ROI while applying a stoploss and trailing stop to manage risk.
stoploss: -0.1 timeframe: 1m hash(sha256): 1175e387b3dc23f7e7e075c0ce804380d80f05476b6a18298fbc46515259b95f
Was not able to fetch indicators from Strategyfile.
last change: 2023-06-30 12:16:20