The TestStrategyLegacyV1 strategy is a backtesting strategy that uses technical analysis indicators to generate buy and sell signals for trading. Here's a breakdown of how the strategy works:
Indicators:
ADX (Average Directional Index): Calculates the strength of a trend in the market. TEMA (Triple Exponential Moving Average): Smooths out price data to identify trends.
Buy Signal: The strategy generates a buy signal when the following conditions are met: ADX value is greater than 30, indicating a strong trend.
TEMA value is higher than the previous TEMA value, suggesting an upward price movement.
Volume is greater than 0, indicating trading activity. Sell Signal: The strategy generates a sell signal when the following conditions are met: ADX value is greater than 70, indicating an extremely strong trend. TEMA value is lower than the previous TEMA value, suggesting a downward price movement. Volume is greater than 0, indicating trading activity. The strategy aims to capture profitable trades by identifying trends and initiating trades when the market conditions align with the defined criteria. The strategy uses a minimal ROI (Return on Investment) configuration and an optimal stop loss to manage risk. Please note that this strategy is based on a legacy function header and may be outdated. It is recommended to refer to the user_data/strategy/sample_strategy.py file for an up-to-date version of the template.
Buy Signal: The strategy generates a buy signal when the following conditions are met: ADX value is greater than 30, indicating a strong trend.
TEMA value is higher than the previous TEMA value, suggesting an upward price movement.
Volume is greater than 0, indicating trading activity. Sell Signal: The strategy generates a sell signal when the following conditions are met: ADX value is greater than 70, indicating an extremely strong trend. TEMA value is lower than the previous TEMA value, suggesting a downward price movement. Volume is greater than 0, indicating trading activity. The strategy aims to capture profitable trades by identifying trends and initiating trades when the market conditions align with the defined criteria. The strategy uses a minimal ROI (Return on Investment) configuration and an optimal stop loss to manage risk. Please note that this strategy is based on a legacy function header and may be outdated. It is recommended to refer to the user_data/strategy/sample_strategy.py file for an up-to-date version of the template.
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stoploss: -0.1 timeframe: 5m hash(sha256): 68fc1ed2f8465393503987c63b8846d34035e76614abddd639ddb36801f5a9c2 indicators: volume adx tema
No similar strategies found. (based on used indicators)
last change: 2024-07-27 23:58:42