Advanced Forex Trading Bot MQL5 EA for MetaTrader 5

Create a comprehensive MQL5 Expert Advisor (EA) script for MetaTrader 5 that implements an advanced Forex trading bot. This bot should integrate multiple technical indicators, adaptive risk management, and time-based trading restrictions as specified below.
### Core Requirements:
– Market Sensing:
– Utilize the following indicators:
– EMA (Exponential Moving Average)
– RSI (Relative Strength Index)
– MACD (Moving Average Convergence Divergence)
– Stochastic Oscillator
– Volume analysis
– Trade Execution:
– Implement adaptive trade execution with automated buy and sell order placement based on combined indicator signals.
– Lot Sizing:
– Calculate dynamic lot sizing as 1% of the current account balance.
– Trading Hours:
– Restrict all trade executions strictly within customizable New York session hours:
– `START_HOUR` to `END_HOUR`
– News Event Detection:
– Detect and avoid trading during scheduled news events affecting the symbol using `SymbolInfo()` or MQL5 news APIs.
– Adaptive TP and SL:
– Implement adaptive Take Profit (TP) and Stop Loss (SL) levels suitable for minimum account balances as low as $20.
– Reversal Handling:
– Support automatic reversal handling by detecting market reversals through divergences and indicator signals, closing existing positions on reversal, then opening reversed trades accordingly.
### Global Variables (declare globally, e.g., in `StrategyTester.mqh`):
– `EMA_PERIOD` (integer, e.g., 20)
– `RSI_PERIOD` (integer, e.g., 14)
– `OVERBOUGHT_THRESHOLD` (integer/float, e.g., RSI/Stochastic upper bound)
– `OVERSOLD_THRESHOLD` (integer/float, e.g., RSI/Stochastic lower bound)
– `START_HOUR` (integer, New York session start hour in broker time or specified timezone)
– `END_HOUR` (integer, New York session end hour)
– `MIN_ACCOUNT_BALANCE` (float, minimum balance to enable trading, e.g., 20.0)
### EA Lifecycle Functions Requirements:
1. `OnInit()`
– Validate all input parameters ensuring they are within acceptable ranges.
– Initialize and attach all required indicators: EMA, RSI, MACD, Stochastic Oscillator.
– Calculate initial adaptive lot size as 1% of the current account balance.
2. `OnDeinit()`
– Clean up and detach the indicators properly.
– Free any allocated resources to prevent memory leaks.
3. News Detection Module
– Implement or integrate a news detection method that retrieves scheduled news events affecting the trading symbol.
– Ensure the EA does not open new trades during detected news events within session hours.
4. `OnTick()` or Custom `Calculate()` Function
– On each tick or new bar:
– Compute current values for EMA, RSI, MACD histogram, Stochastic %K and %D, and analyze volume.
– Verify current time is within `START_HOUR` and `END_HOUR` and that no news event is currently active.
– Generate trade signals based on combined indicator criteria:
– Buy Signal:
– Conditions: Price > EMA, RSI < oversold threshold, bullish divergences on MACD and RSI, Stochastic %K crossing above %D in oversold zone, and volume supporting upward momentum. - Sell Signal: - Conditions: Price overbought threshold, bearish divergences on MACD and RSI, Stochastic %K crossing below %D in overbought zone, and volume confirming downward momentum.
– Execute trading operations:
– Open new orders with lot size calculated as 1% of account balance.
– Set SL and TP levels dynamically, considering the minimum account balance.
– Modify or close existing orders as needed.
– Detect market reversals via divergence and indicator signals:
– If detected, close existing trades and open new trades in the opposite direction.
5. Order Management Functions:
– Implement robust wrappers for `OrderSend()` that handle order opening/modification with proper SL and TP.
– Implement safe order closing functionality (akin to `OrderDelete()` by ticket), handling potential errors consistently.
### Additional Requirements:
– Include comprehensive inline code comments articulating logic, parameters, and any mathematical or trading rationale.
– Provide guidance on optimizing key parameters such as EMA and RSI periods, and threshold values.
– Ensure compatibility with backtesting features within MetaTrader 5, restricting testing data to New York session hours or user-defined session.
– Support demo account operation for live validation.
– Apply robust error handling and parameter validation throughout the EA.
– Adhere strictly to MQL5 programming standards and best practices.
# Output Format
– Deliver a complete, well-structured, and well-commented MQL5 EA source code file (.mq5).
– Organize code modularly, separating:
– Initialization
– Indicator calculations
– Signal generation
– Order execution
– News detection
– Reversal handling
– Cleanup
– Document all global variables and input parameters at the top of the source file.
# Example Conceptual Behavior
– Upon a new price bar or tick, the EA calculates:
– EMA(20), RSI(14), MACD histogram, Stochastic %K and %D, and reads volume.
– If conditions for a buy signal are met during New York session hours (e.g., 14:30 to 21:00 EST), the EA opens a buy trade with lot size = 1% of account balance.
– On reversal or bearish divergences, the EA will close buy trades and open corresponding sell trades.
– All trades include SL and TP dynamically set to fit minimum balances (from $20) suitably.
Ensure the final product is a robust, expert-level Forex trading EA for MetaTrader 5 that fulfills all above specifications and is ready for immediate deployment and backtesting.