Not Enough Data to display!
Average Overall
| Not Enough Data! / Avg statistics not populated yet. |
|---|
The "DoesNothingStrategy" is a trading strategy implemented in Python for backtesting purposes. It is a basic skeleton strategy that does not perform any specific analysis or decision-making based on market conditions. Here are some key points about the strategy:
Author: Gert Wohlgemuth
Minimal ROI: The strategy is designed to achieve a minimal return on investment (ROI) of 0.01.
This value can be adjusted based on market conditions, but it is recommended to keep it low for quick turnarounds.
Stoploss: The strategy uses an optimal stoploss value of -0.25, indicating that if the price of an asset drops by 25% from the entry point, the strategy will trigger a sell signal.
Ticker Interval: The strategy operates on a ticker interval of 5 minutes. This means that it analyzes price data and makes trading decisions based on 5-minute intervals. Indicators: The strategy does not populate any additional indicators. The "populate_indicators" function simply returns the original dataframe without making any modifications. Buy Trend: The "populate_buy_trend" function is responsible for determining the conditions to generate a buy signal. However, in this strategy, the buy conditions are not specified, as the function leaves the dataframe unchanged. Sell Trend: Similarly, the "populate_sell_trend" function does not define any specific sell conditions. It also leaves the dataframe unchanged. Overall, the "DoesNothingStrategy" is a basic strategy that does not provide any meaningful trading signals or decision-making logic. It can serve as a starting point for developing more complex strategies by adding indicators and defining buy/sell conditions based on specific market analysis.
This value can be adjusted based on market conditions, but it is recommended to keep it low for quick turnarounds.
Stoploss: The strategy uses an optimal stoploss value of -0.25, indicating that if the price of an asset drops by 25% from the entry point, the strategy will trigger a sell signal.
Ticker Interval: The strategy operates on a ticker interval of 5 minutes. This means that it analyzes price data and makes trading decisions based on 5-minute intervals. Indicators: The strategy does not populate any additional indicators. The "populate_indicators" function simply returns the original dataframe without making any modifications. Buy Trend: The "populate_buy_trend" function is responsible for determining the conditions to generate a buy signal. However, in this strategy, the buy conditions are not specified, as the function leaves the dataframe unchanged. Sell Trend: Similarly, the "populate_sell_trend" function does not define any specific sell conditions. It also leaves the dataframe unchanged. Overall, the "DoesNothingStrategy" is a basic strategy that does not provide any meaningful trading signals or decision-making logic. It can serve as a starting point for developing more complex strategies by adding indicators and defining buy/sell conditions based on specific market analysis.
startup_candle_count : 400 Recursive Analysis found no issues while using 400 startup_candle_count
stoploss: -0.25 timeframe: 5m hash(sha256): 11e1880743137969221ec7b551788f497a082056c34708c7a051773a23912c42
Was not able to fetch indicators from Strategyfile.
last change: 2024-05-02 08:52:55