Kalifx Equity Guard EA
- Утилиты
- Calvin Andile Mahlangu
- Версия: 1.10
Kalifx Equity Guard — Account Protection Utility
Kalifx Equity Guard is a useful and smart MT4 risk management utility designed to protect your trading account from devastating losses. It continuously monitors your account equity, floating loss, and drawdown levels, and automatically closes all trades when your predefined risk limits are breached — whether trades were opened manually or by other Expert Advisors.
Simply attach it to any chart and any timeframe and let it run silently in the background as your account’s safety system.
Key Features
✔ Equity Protection — Closes all trades when maximum equity drawdown is reached
✔ Floating Loss Protection — Stops losses before they spiral out of control
✔ Works With Manual & EA Trades — Universal protection for your entire account
✔ Real-Time Monitoring — Runs continuously without delays
✔ Lightweight & Fast — No indicators, no strategy interference
⚙ Input Parameters
- Enable Equity Protection
- Max Equity Drawdown Percent
- Max Equity Drawdown Money
- Enable Floating Loss Protection
- Max Floating Loss Percent
- Max Floating Loss Money
- Close All Trades On Trigger
- Show Panel
Turns equity drawdown monitoring on or off.
Maximum percentage drop from the highest recorded equity allowed before all trades are closed.
Maximum monetary loss from peak equity (in account currency) before protection triggers.
Enables monitoring of unrealized (floating) losses.
Maximum floating loss allowed as a percentage of account balance before trades are closed.
Maximum floating loss allowed in account currency before protection activates.
If enabled, instantly closes all open positions when any protection rule is violated.
Displays a real-time dashboard on the chart showing equity, drawdown, and protection status.
Important Notes
• This utility does not open trades
• It works alongside any EA or manual trading
• Acts purely as a safety layer
• Always test on demo before live trading
Support
For assistance or customization inquiries, please contact the author via the MQL5 comments section or the private messaging system.

