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The Ichimoku_v7 strategy is a trading strategy implemented in Python using the Freqtrade library. It is designed for backtesting and evaluating trading performance. Here's a breakdown of what the strategy does:
The strategy uses the Ichimoku indicator, which is a popular technical analysis tool used in trend analysis and forecasting.
It calculates several components, including the conversion line, base line, leading span A, leading span B, and cloud colors (green and red).
The strategy defines the minimal return on investment (ROI) as 100, meaning that it aims to achieve a minimum return of 100% for each trade.
The stoploss is set to -1, indicating that there is no specific stop loss level defined for this strategy. The ticker interval is set to '4h', which means that the strategy operates on 4-hour candlestick data. The strategy does not specify any informative pairs, meaning it does not rely on additional information from other trading pairs. In the populate_indicators method, the strategy calculates various components of the Ichimoku indicator and adds them as columns to the input DataFrame. The populate_buy_trend method identifies buy signals based on the conditions that the closing price is above both the leading span A and leading span B. The populate_sell_trend method identifies sell signals based on the conditions that the closing price is below both the leading span A and leading span B. Overall, the strategy utilizes the Ichimoku indicator to generate buy and sell signals based on the relationship between the closing price and the various components of the indicator.
It calculates several components, including the conversion line, base line, leading span A, leading span B, and cloud colors (green and red).
The strategy defines the minimal return on investment (ROI) as 100, meaning that it aims to achieve a minimum return of 100% for each trade.
The stoploss is set to -1, indicating that there is no specific stop loss level defined for this strategy. The ticker interval is set to '4h', which means that the strategy operates on 4-hour candlestick data. The strategy does not specify any informative pairs, meaning it does not rely on additional information from other trading pairs. In the populate_indicators method, the strategy calculates various components of the Ichimoku indicator and adds them as columns to the input DataFrame. The populate_buy_trend method identifies buy signals based on the conditions that the closing price is above both the leading span A and leading span B. The populate_sell_trend method identifies sell signals based on the conditions that the closing price is below both the leading span A and leading span B. Overall, the strategy utilizes the Ichimoku indicator to generate buy and sell signals based on the relationship between the closing price and the various components of the indicator.
stoploss: -1 timeframe: 4h hash(sha256): f3863730d1dffdb5ad80eb1a2464ea3b128a0143bd96d9db39cd342375cad825 indicators: kijun_sen tenkan senkou_span_a close cloud_green chikou_span senkou_a senkou_b kijun tenkan_sen cloud_red senkou_span_b
No similar strategies found. (based on used indicators)
last change: 2024-01-03 01:39:59