The Futures DCA is best used in high-risk, high-reward situations, especially when your strategy is to attempt to earn profits from rebounds in a volatile market but want to save the time for tracking and eliminate the hassle of configuring a series of averaging orders manually.

Users begin the trading cycle by selecting their risk profile via a series of parameters (or choosing from conservative, moderate, and aggressive pre-set parameters). The strategy will start with an initial order that is programmed to execute a certain number of times. If the asset price drops by a designated percentage, the bot will execute a second trade that's a multiple of the first order.

The Futures DCA bot is best used in high-risk, high-reward situations, especially when your strategy is to attempt to earn profits from rebounds in a volatile market but want to save the time for tracking and eliminate the hassle of configuring a series of averaging orders manually.

When you set up a Spot grid, a series of orders are placed at different levels based on your grid range. However, if you're using a wide range, many of these orders are essentially dormant, waiting for significant price movements to trigger them.

= ta.macd(close, 12, 26, 9) // Define the golden cross condition goldenCross = ta.crossover(macdLine, signalLine) // Define the death cross condition deathCross = ta.crossunder(macdLine, signalLine) // Use the alertcondition function to generate alerts alertcondition(condition=goldenCross, title="MACD Golden Cross", message="") alertcondition(condition=deathCross, title="MACD Death Cross", message="") In this example, we first calculate the MACD using the `macd` function, which takes the input series