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The BreakEven strategy is designed to close positions as soon as they reach a profit, avoiding potential losses. It works by selling everything that is already in profit and waiting for positions that are at a loss to reach the break-even point or a small specified profit. The strategy has the following key components:
minimal_roi: This attribute defines the minimum return on investment (ROI) required for a position to be considered profitable.
In this case, it starts with a minimum of 1% profit, and after 10 minutes, everything is sold regardless of profit.
stoploss: This attribute sets the optimal stop-loss level for the strategy, which is -5% in this case.
If a position reaches a 5% loss, it will be automatically closed. timeframe: This attribute specifies the optimal timeframe for the strategy, which is 5 minutes. It means that the strategy operates based on 5-minute intervals. populate_indicators: This function is responsible for populating any technical indicators used by the strategy. In this case, it returns the original dataframe without any modifications. populate_buy_trend and populate_sell_trend: These functions determine the buy and sell signals for the strategy. However, in the BreakEven strategy, no buy or sell signals are generated. All buying and selling decisions are solely based on the ROI and stop-loss rules. Overall, the BreakEven strategy aims to quickly close positions that are already in profit and wait for positions at a loss to recover or reach a small profit target. It allows the user to close the bot quickly without waiting for complex profit conditions to be met.
In this case, it starts with a minimum of 1% profit, and after 10 minutes, everything is sold regardless of profit.
stoploss: This attribute sets the optimal stop-loss level for the strategy, which is -5% in this case.
If a position reaches a 5% loss, it will be automatically closed. timeframe: This attribute specifies the optimal timeframe for the strategy, which is 5 minutes. It means that the strategy operates based on 5-minute intervals. populate_indicators: This function is responsible for populating any technical indicators used by the strategy. In this case, it returns the original dataframe without any modifications. populate_buy_trend and populate_sell_trend: These functions determine the buy and sell signals for the strategy. However, in the BreakEven strategy, no buy or sell signals are generated. All buying and selling decisions are solely based on the ROI and stop-loss rules. Overall, the BreakEven strategy aims to quickly close positions that are already in profit and wait for positions at a loss to recover or reach a small profit target. It allows the user to close the bot quickly without waiting for complex profit conditions to be met.
stoploss: -0.05 timeframe: 5m hash(sha256): a8b6be34948476afd1cafa73c5a84c1351281f7d434f378527d6c796a96e7114
Was not able to fetch indicators from Strategyfile.
last change: 2023-06-30 11:49:58