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The DoesNothingStrategy is a simple trading strategy that does not perform any specific technical analysis or decision-making based on indicators. It is a skeleton or template strategy that serves as a starting point for more complex strategies. Here are the important aspects of the strategy:
Minimal ROI: The strategy defines a minimal return on investment (ROI) of 0.01.
This value represents the minimum expected profit percentage for each trade.
It can be adjusted based on market conditions.
Stoploss: The strategy sets a stop loss value of -0.25. This means that if a trade's value drops by 25% from the entry price, it will be automatically sold to limit losses. Timeframe: The strategy operates on a 5-minute timeframe. This indicates that it analyzes and makes trading decisions based on price data within 5-minute intervals. populate_indicators(): This function is responsible for populating any technical indicators that the strategy might use. In this case, it returns the original dataframe without any additional indicators. populate_buy_trend(): This function determines the conditions for buying an asset. However, in the DoesNothingStrategy, no specific conditions are defined, so it assigns a value of 1 (True) to the 'buy' column for all rows in the dataframe. populate_sell_trend(): Similarly, this function determines the conditions for selling an asset. Since the strategy does nothing, it also assigns a value of 1 (True) to the 'sell' column for all rows in the dataframe. Overall, the DoesNothingStrategy serves as a basic structure that can be customized and extended to implement more sophisticated trading strategies.
This value represents the minimum expected profit percentage for each trade.
It can be adjusted based on market conditions.
Stoploss: The strategy sets a stop loss value of -0.25. This means that if a trade's value drops by 25% from the entry price, it will be automatically sold to limit losses. Timeframe: The strategy operates on a 5-minute timeframe. This indicates that it analyzes and makes trading decisions based on price data within 5-minute intervals. populate_indicators(): This function is responsible for populating any technical indicators that the strategy might use. In this case, it returns the original dataframe without any additional indicators. populate_buy_trend(): This function determines the conditions for buying an asset. However, in the DoesNothingStrategy, no specific conditions are defined, so it assigns a value of 1 (True) to the 'buy' column for all rows in the dataframe. populate_sell_trend(): Similarly, this function determines the conditions for selling an asset. Since the strategy does nothing, it also assigns a value of 1 (True) to the 'sell' column for all rows in the dataframe. Overall, the DoesNothingStrategy serves as a basic structure that can be customized and extended to implement more sophisticated trading strategies.
stoploss: -0.25 timeframe: 5m hash(sha256): 253f1425ab63376086f72e374c7e9b191ef5ec82554269f9280a1f71fc947015
Was not able to fetch indicators from Strategyfile.
last change: 2023-06-30 12:30:39