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The BreakStrategy is a trading strategy that aims to identify potential breakout points in the market. It uses technical analysis (TA) indicators to determine these breakout points. The strategy begins by populating the DataFrame with several TA indicators.
These indicators provide essential information for the strategy to make trading decisions.
It is important to note that only the necessary indicators should be uncommented to optimize memory and CPU usage.
The strategy identifies breakout points by analyzing the price movements in the DataFrame. It tracks the lowest and highest prices encountered during the iteration. When a new low is detected, it marks it as the lowest price. If a subsequent price is higher than the lowest price and the previous price was marked as the lowest, it signals a potential breakout point and sets the 'signal' column to 1. The lowest price is then reset to None. Similarly, the strategy tracks the highest price encountered. When a new high is detected, it marks it as the highest price. If a subsequent price is lower than the highest price and the previous price was marked as the highest, it signals a potential breakdown point and sets the 'signal' column to -1. The highest price is then reset to None. Finally, the strategy populates the 'buy' and 'sell' columns in the DataFrame based on the generated signals. When the 'signal' column is 1, it indicates a buy signal, and the corresponding row in the 'buy' column is set to 1. When the 'signal' column is -1, it indicates a sell signal, and the corresponding row in the 'sell' column is set to 1. Overall, the BreakStrategy identifies potential breakout and breakdown points in the market using TA indicators and generates buy and sell signals accordingly.
These indicators provide essential information for the strategy to make trading decisions.
It is important to note that only the necessary indicators should be uncommented to optimize memory and CPU usage.
The strategy identifies breakout points by analyzing the price movements in the DataFrame. It tracks the lowest and highest prices encountered during the iteration. When a new low is detected, it marks it as the lowest price. If a subsequent price is higher than the lowest price and the previous price was marked as the lowest, it signals a potential breakout point and sets the 'signal' column to 1. The lowest price is then reset to None. Similarly, the strategy tracks the highest price encountered. When a new high is detected, it marks it as the highest price. If a subsequent price is lower than the highest price and the previous price was marked as the highest, it signals a potential breakdown point and sets the 'signal' column to -1. The highest price is then reset to None. Finally, the strategy populates the 'buy' and 'sell' columns in the DataFrame based on the generated signals. When the 'signal' column is 1, it indicates a buy signal, and the corresponding row in the 'buy' column is set to 1. When the 'signal' column is -1, it indicates a sell signal, and the corresponding row in the 'sell' column is set to 1. Overall, the BreakStrategy identifies potential breakout and breakdown points in the market using TA indicators and generates buy and sell signals accordingly.
startup_candle_count : 14 signal: inf%
stoploss: -1 timeframe: 1h hash(sha256): 5d353cb9f3056221712b1551ab17c29abc90a7ab2ec1a9be86bf1941e4735be7 indicators: high signal lowest low highest
No similar strategies found. (based on used indicators)
last change: 2023-06-28 07:43:45