Here are some example scenarios to illustrate how Auto-Manage might operate. Note that these examples use dynamic percentages that may vary based on market conditions and are not fixed rules:

Expected Drop (Loss)

If the predicted price change is -0.06 (6% drop), this would trigger a sell because it's below the dynamically suggested exit loss for that position of -0.055 (5.5% loss).

High Profit

If the price change percent is 0.08 (8% gain), this would trigger a sell because it's above the dynamically set expected sell limit of 0.075 (7.5% gain) for that position. This limit is calculated both at initial buy time and recalculated every 1 minute based on changes in the market and this specific instrument.

RSI-based Overbought Condition

If the current RSI is above 75 (dynamically calculated by the AI) and the price is above 0.04 (4% gain), this would trigger a sell. This is because it's above the dynamically calculated "low gain" of 3.5% and the RSI indicates an overbought condition.

Time-based Exit Strategy

This condition would trigger if the position has been held for over 2 hours with less than a certain percentage of price movement in either direction. The specific percentage is calculated by the AI based on that instrument's previous price movement patterns.

Not Comprehensive

These examples represent only a fraction of the conditions considered by the AI. The system employs hundreds, if not thousands, of these conditions, and the above is meant only as an example of how the AI works, not the full list of ways the AI behaves.

Remember, the AI continuously adapts its strategies based on market dynamics and the characteristics of each individual cryptocurrency, ensuring a flexible and responsive trading approach.