MQL5 ADVANCED: Anti-Correlation Multi-symbol EA with MQL5

Learn to set up anti-correlation multi-symbol expert advisor in MQL5, defining symbols (eurusd and usdchf) on a 15-minute frame, slippage, and initialization with on tick and on new bar handling.

Include C trait class and create trait objects to manage trades, then attach expert advisor, set expert magic number, and initialize symbol data and symbol price tuples in loop.

configure a 14-period rssi input group with symbol-specific handles for EURUSD and USDCHF, to gather RSI values for entry signals in the expert advisor.

Count and regulate trade traits with two functions, num_traits and total_traits. Iterate positions, match symbol and E metric and position type via index, and increment when criteria align.

Set risk inputs for the anti-correlation multi-symbol advisor by tying balance increase and volume increase to scale lot sizes with account balance, while standardizing lot sizes across symbols.

Generate buy and sell signals with RSI crossing 30 and 70, implement buySignal and sellSignal functions, and create comment arrays for f buy, f sell, c buy, and c sell.

Create two MQL5 entry functions for a multi-symbol anti-correlation strategy, validating trade counts and placing paired buy or sell orders using symbol, index, and prices.

Create a next entry price function for cost averaging in a multi-symbol MQL5 expert advisor, using pip-based trade distance and price points to buy on dips and sell on rallies.

Create a next entry lot function in MQL5 that increases lot sizes for cost averaging trades, starting at 0.01 and growing with same-type entry, using symbol, magic, and existing positions.

Implement two cost averaging functions to enter buy and sell trades at the next entry price on buy or sell signals, using ask, bid, symbol, and index.

Create and initialize cost averaging trading logic in an expert advisor, using trail pip triggers, total lot and price tracking, and break-even, position-weighted averages for single and cost averaging trades.

Add a trailing stop loss to the expert advisor by computing current stop loss, take profit, and open price, then loop through positions and adjust stops based on price movements.

Add a maximum drawdown feature to the anti-correlation multi-symbol EA, tracking start balance and equity, closing all trades and stopping trading if losses exceed 60%.

Test and debug the anti-correlation expert advisor, validating multi-symbol trading on eurodollar and Swiss franc with cost averaging, trailing stops, and robust inputs from 2020–2025, yielding strong long run profits.