MQL5 Advanced: Code a Small Trading Account Expert Advisor

Set up an expert advisor by creating metadata and a template, organizing the EA folder, defining inputs (symbol, time frame, magic, slippage), and implementing new-bar logic to run on ticks.

Develop swing high and swing low detection and drawing lines on the chart to identify support and resistance for a small trading account expert advisor in MQL5.

Initialize digits, bid, ask, and point from symbol info, then generate buy and sell signals by close relative to swing high and swing low, counting trades with C trade class.

Code your first trades in a MQL5 expert advisor by implementing buy and sell entry functions with 0.01 lot size, using ask and bid prices, and preparing comments.

Set a trailing stop strategy for profitable trades in an MQL5 expert advisor, applying it to cost averaging and first entries, and compute a weighted average price with trail parameters.

Add a trailing stop loss to the MQL5 expert advisor by implementing a void function that iterates positions, computes new stop losses from current price, and updates via position modify.

Define a next entry price function to support cost averaging trades, calculating buy and sell entry levels with distance points and open prices.

Learn to implement cost averaging entries in an MQL5 expert advisor by counting and managing pending orders, and placing buy stop and sell stop orders with comment-based validation.

Create two boolean functions to detect if a buy or sell order is triggered by comparing position trade counts and updating pending orders, including new highs and lows.

Modify pending buy stop and sell stop orders by detecting new highs and lows and updating entries to swing highs or swing lows, with error alerts.

Integrate cost averaging for buys and sells, manage pie stop and trailing stop orders, and update pending orders on every tick to ready the expert advisor for testing.

Test and debug the MQL5 advanced expert advisor with an every-tick backtest on a $100 account at 1:1000 leverage; verify trailing stops and cost averaging, then review drawdown and profits.

Conclude by applying the course’s end-to-end approach to coding an expert advisor that trades a $100 balance with robust trade management.