MQL5 LOTTO: Code An Aggressive Trend Following Strategy

Set up an aggressive mean-reversion expert advisor by creating the EA, configuring symbol, timeframe (M15), metric, and slippage, and implementing initialization, on-tick logic, and chart appearance.

Create and use the trade class to enter and manage trades, initialize symbol digits and point values, and count open trades by symbol and position type to regulate risk.

Learn to create an expert advisor by fetching indicator data, linking moving average and RSI with handles, and preparing buffers for the latest data. Implement buy and sell signals using a close below the moving average with RSI under 30, and a close above the moving average with RSI over 70.

Develop a function to compute the next entry price by enforcing a minimum trade distance, converting pips to points, and choosing prices from open positions for buy and sell entries.

Set risk parameters for the advisor by calculating the lot size for each trade. Use balance and the lot step to keep volumes within max and min limits.

Develop two functions to execute buy and sell trades based on signals, validate prices, manage cost averaging, and set lot sizes in MQL5.

Apply an aggressive trailing stop loss in an mql5 expert advisor to maximize profits, implement cost averaging, and lock in profits by dynamic stop adjustments.

Implement risk management to stop trading after a loss percentage, track the start balance, apply trailing stops, and close positions if equity drawdown hits maximum loss.

Test and debug the expert advisor with the strategy tester on eurodollar 15-minute chart from 2020 to 2025, ensuring zero latency. Observe trend trading with cost averaging trailing stop loss.

Apply a trend following framework to develop trading strategies and algorithmic tools with effective trade management. Build a solid foundation for your own trading projects and expert advisors.