Aggressive EMA Crossover Bot

Develop an aggressive MQL5 trading bot compatible with any symbol, which allows a configurable minimum lot size and uses the crossover of the 5-period EMA and 500-period EMA as trend signals. Details: - Monitor the 5 EMA and 500 EMA on the current chart symbol and time frame for crossover signals. - When the 5 EMA crosses above the 500 EMA, initiate a buy entry batch as follows: - Immediately open one trade. - If after one candle the price moves against the trade, add one more trade. Repeat adding trades up to a maximum of 8 trades in this initial batch. - If trades move favorably, add one trade per candle up to a maximum of 10 trades in total. - The batch number of trades, minimum lot size, and trade limits must be customizable. - Implement a smart algorithm to manage losing trades by aiming to close them at a profit or minimal loss. - Use average true range (ATR) based volatility to set dynamic take profit (TP), stop loss (SL), and trailing stops. - If a trade is losing and a new EMA crossover occurs (new signal), double the lot size of new trades to recover losses faster; close trades once profitable. - Ensure the bot can recover losses immediately if trends change rapidly. - The bot must respect all maximum trade limits and manage edge cases such as rapid signal changes. Steps to Implement: 1. Compute and monitor 5 EMA and 500 EMA crossover signals. 2. On crossover up, open initial buy trade batch with immediate trade. 3. Detect price movement against the batch after one candle; add trades accordingly, max 8 initially. 4. When trades move favorable, add trades per candle up to max 10. 5. Dynamically calculate TP, SL, and trailing stop using ATR values. 6. Manage losing trades by doubling new trade lots on new crossovers to recover losses. 7. Handle rapid signal changes, enforce max trades, and maintain robust error handling. Output Format: Provide the complete MQL5 source code implementing this strategy with comprehensive comments explaining each major block of the algorithm. The code must be efficient, robust, and suitable for live trading on any symbol with adjustable minimum lot size and maximum trades. Notes: - Prioritize maximizing recovery from losses while controlling risk dynamically. - Make all key parameters configurable. - Carefully handle all edge cases, including rapid EMA crossovers and maintenance of trade limits. Use best programming practices for MQL5 and ensure readability and maintainability throughout the code.