Smart Trade Skill

Automating multiple take-profit targets and trailing stop losses is handled by configuring advanced order management rules that execute trades dynamically. This streamlines complex crypto trading workflows to reduce manual intervention and human error.

Algorithmic trading risk management supports OCO orders and hedge mode to control positions. These advanced features allow simultaneous execution of opposing orders and isolated risk mitigation across multiple assets.

Conditional entries using RSI, MACD, and webhooks can trigger automated trade orders. Smart conditions evaluate technical indicators in real-time to execute market, limit, or scaled entries based on predefined criteria.

Managing partial closes and moving to break-even automatically requires configuring advanced order execution rules. This enforces safety guardrails that lock in profits and protect capital without manual intervention.

Setting up reverse on stop and time-based stop losses involves defining specific exit conditions within your order management strategy. This automates position reversals and enforces time-sensitive risk caps to close deals.

Applying advanced order management across multiple crypto assets requires strict guardrails and safety checks to function properly. Limitations arise if conditional entries or indicator-based stop losses are not precisely configured for each asset.