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The AdxSmas strategy is a trading strategy that combines the Average Directional Index (ADX) and Simple Moving Averages (SMA) indicators. It aims to identify buy signals based on the crossing of the short-term SMA above the long-term SMA and when the ADX value is above a certain threshold. The strategy does not provide specific criteria for sell signals.
Here's a breakdown of the important components of the strategy: Minimal ROI: The strategy is designed with a minimal return on investment (ROI) of 0.15.
This value can be adjusted depending on market conditions.
Stoploss: The strategy sets an optimal stop loss level at -0.99, indicating a high tolerance for losses. Timeframe: The strategy operates on the 1-hour timeframe. It uses historical price data within this timeframe for analysis and decision-making. ADX and SMA Indicators: The strategy calculates the ADX, short-term SMA (3 periods), and long-term SMA (6 periods) indicators using the historical price data. These indicators help assess the trend strength and identify potential buy signals. Buy Trend: The strategy generates a buy signal when the ADX value is greater than a specified threshold (configured with the buy_adx parameter) and the short-term SMA crosses above the long-term SMA. The condition for a buy signal is met when both criteria are true. Sell Trend: The strategy does not provide specific criteria for sell signals, as the code for the sell condition is commented out. This means that the strategy does not automatically generate sell signals based on the ADX or SMA indicators. Overall, the strategy focuses on capturing upward trends by identifying potential buy opportunities when the ADX indicates a strong trend and the short-term SMA crosses above the long-term SMA. It is important to note that this description is based on the provided code and may not capture the full functionality or intention of the strategy.
Here's a breakdown of the important components of the strategy: Minimal ROI: The strategy is designed with a minimal return on investment (ROI) of 0.15.
This value can be adjusted depending on market conditions.
Stoploss: The strategy sets an optimal stop loss level at -0.99, indicating a high tolerance for losses. Timeframe: The strategy operates on the 1-hour timeframe. It uses historical price data within this timeframe for analysis and decision-making. ADX and SMA Indicators: The strategy calculates the ADX, short-term SMA (3 periods), and long-term SMA (6 periods) indicators using the historical price data. These indicators help assess the trend strength and identify potential buy signals. Buy Trend: The strategy generates a buy signal when the ADX value is greater than a specified threshold (configured with the buy_adx parameter) and the short-term SMA crosses above the long-term SMA. The condition for a buy signal is met when both criteria are true. Sell Trend: The strategy does not provide specific criteria for sell signals, as the code for the sell condition is commented out. This means that the strategy does not automatically generate sell signals based on the ADX or SMA indicators. Overall, the strategy focuses on capturing upward trends by identifying potential buy opportunities when the ADX indicates a strong trend and the short-term SMA crosses above the long-term SMA. It is important to note that this description is based on the provided code and may not capture the full functionality or intention of the strategy.
stoploss: -0.99 timeframe: 1h hash(sha256): 43708d376c00c70abde18c9c9f9c397eb9454b7f88dedc509bc52722c2642389 indicators: adx short long
No similar strategies found. (based on used indicators)
last change: 2024-04-27 23:36:43