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Strategy: SwingHigh
Downloaded: 20220112
Stoploss: -0.222


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The "SwingHigh" strategy is a trading strategy implemented in Python for backtesting purposes. It uses technical indicators such as Moving Average Convergence Divergence (MACD) and Commodity Channel Index (CCI) to generate buy and sell signals. Here's a breakdown of the strategy: Minimal ROI: The strategy defines a minimal return on investment (ROI) for each trade.

In this case, it has predefined ROI levels at different time intervals.

Stop Loss: The strategy sets a fixed stop loss level for risk management.

Trailing Stop: The strategy employs a trailing stop mechanism, which adjusts the stop loss level as the price moves in favor of the trade. Ticker Interval: The strategy is designed to work with price data at a 30-minute interval. Indicators: The strategy uses MACD and CCI indicators. MACD helps identify potential trends and their direction, while CCI is used for detecting overbought and oversold conditions. Buy Signal: The strategy generates a buy signal when the MACD line crosses above the MACD signal line, CCI value is below -188.0, and the trading volume is positive. Sell Signal: The strategy generates a sell signal when the MACD line crosses below the MACD signal line, CCI value is above 231.0, and the trading volume is positive. By backtesting this strategy on historical price data, you can evaluate its performance and make informed decisions about its effectiveness in real trading scenarios.

startup_candle_count : 50
Recursive Analysis found no issues while using 50 startup_candle_count
stoploss: -0.222
timeframe: 5m
hash(sha256): 7a62b0ee70e70bbe2efbc58eefd81311139527db201f0c121b7d2b5aaf65597d
indicators:
macdsignal volume ccibuy macd ccisell

No similar strategies found. (based on used indicators)

last change: 2023-06-24 12:18:27