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The TaLevelB5m strategy is designed for backtesting trading strategies. Here is a short description of what the strategy does:
It populates indicators on a given DataFrame, including RSI (Relative Strength Index) and level indicators. It identifies the minimum and maximum levels for potential buying opportunities based on certain conditions and calculations.
It analyzes the data to determine if there are suitable entry points for long or short positions.
It populates entry and exit trend indicators based on the identified levels and RSI values.
It calculates the proposed leverage based on certain parameters. It calculates the percentage difference between two values. Overall, the strategy focuses on identifying potential buying or selling opportunities based on level thresholds, price movements, and RSI values. It also includes functions for populating entry and exit trends and calculating leverage and percentage differences.
It analyzes the data to determine if there are suitable entry points for long or short positions.
It populates entry and exit trend indicators based on the identified levels and RSI values.
It calculates the proposed leverage based on certain parameters. It calculates the percentage difference between two values. Overall, the strategy focuses on identifying potential buying or selling opportunities based on level thresholds, price movements, and RSI values. It also includes functions for populating entry and exit trends and calculating leverage and percentage differences.
startup_candle_count : 50 rsi_7: 0.158%
stoploss: -0.03 timeframe: 5m hash(sha256): f5c1a52a7eeb1573771da1f6ff4220d2bbff8efc463fc7f1fb13517b041ca502
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last change: 2024-09-01 21:17:02