MQL5 Advanced: Creating Algorithmic Trading Robots with MQL5

Learn to generate bullish and bearish signals with the TSA safety indicator through crossovers with the signal line, and use histograms and overbought/oversold levels to time entries and exits.

Develop MQL5 expert advisor that trades using tsa line and tsa signal line, entering buys when tsa is above signal and sells when below, with 140 take-profit and 46 stop-loss.

Build an MQL5 expert advisor template in the MetaEditor, defining stop loss, take profit, and lot size, with tsa line indicators and handles.

Initialize the expert advisor by obtaining and validating custom indicator handles, setting inputs, and standardizing digits for stop loss and take profit calculations; deinitialize by releasing handles.

OnTick function checks to gate trading: verify terminal allowed, connected, and symbol trading conditions; detect new bars to enter on bar change; define trading structures and reset trade requests.

Configure on-tick checks by setting series arrays and accessing the latest price, then copy and verify indicator values to generate reliable trading signals.

Check for an open position with position_total before trading and enable buy_condition and sell_condition only when no position exists and tsa line crosses the signal line.

Execute trades by building a market-order trade request and sending it for immediate execution. Normalize prices, set stop loss and take profit, and verify the order results.

Learn how to implement semi-automated trading triggers with an expert advisor in MQL5. Use buy and sell signals, input controls to gate orders, and validate strategies in the strategy tester.

Integrate a break-even function into an expert advisor by looping open positions, calculating break-even price from the opening price plus pips, and triggering stop-loss updates when profit targets are met.

Implement a trailing stop in MQL5 with a trading stop function that uses position info to set and update stop loss from open and current prices, including break-even adjustments.

Explore setting martingale parameters in an MQL5 expert advisor, including normal and reverse Nightingale matching, risk multipliers, and limits to control doubling losses.

Create a martingale sizing function in MQL5 that calculates a default lot using a Nightingale multiplier, validates against max/min symbol volume, and counts past wins and losses from history data.

Learn to implement martingale-based sizing in an MQL5 expert advisor, configuring buy and sell functions and volume via get size, then test performance in strategy tester for profit and drawdown.

Use ATR-based volatility to set stop loss distance and position size. Adjust risk by percentage of balance, equity, or fixed amounts with money management rules.

Implement atr money management in a mql5 expert advisor by creating input parameters, atr period, atr multiplier, risk, and fixed balance, with an atr handle.

Integrate ATR-based money management into MQL5 EAs by calculating stop loss from ATR, handling indicator handles, and evaluating fixed balance, equity, and percentage risk.

Create an expert advisor in MQL5 that uses the TSA indicator to enter on main line crosses and exit on opposite signals.

Develop a close-position function in MQL5 by inspecting open positions, determining buy or sell types, and applying a slippage-tolerant close with error reporting.

Implement close trade logic in mql5 by checking position status and closing on an opposite signal, and adjust take profit and stop loss to zero when needed.