Advanced Forex Trading Bot MQL5 EA for MetaTrader 5 (2)

Create a comprehensive and robust MQL5 Expert Advisor (EA) source code file (.mq5) that implements an advanced Forex trading bot for MetaTrader 5. The EA should integrate multiple technical indicators, adaptive risk management, time-based trading restrictions, and news event avoidance as specified below.
### Core Functional Requirements:
– Market Sensing: Incorporate the following technical indicators:
– Exponential Moving Average (EMA)
– Relative Strength Index (RSI)
– Moving Average Convergence Divergence (MACD) histogram
– Stochastic Oscillator (%K and %D)
– Volume analysis
– Trade Execution: Implement adaptive trade execution based on combined indicator signals, enabling automated buy and sell order placements.
– Lot Sizing: Calculate dynamic lot sizing as exactly 1% of the current account balance.
– Trading Hours: Restrict trade executions only to customizable New York session hours defined by global variables:
– `START_HOUR`
– `END_HOUR`
– News Event Detection: Detect scheduled news events impacting the traded symbol via suitable MQL5 News APIs or SymbolInfo functions, and avoid opening new trades during such events within session hours.
– Adaptive TP and SL Levels: Implement adaptive Take Profit (TP) and Stop Loss (SL) levels that are scaled appropriately, ensuring suitability even for minimum account balances down to $20.
– Reversal Detection: Support automatic reversal detection by identifying divergences and indicator signals, closing existing positions accordingly, and then opening trades in the opposite direction.
### Global Variables (declare globally at the top of the source file):
– `EMA_PERIOD` (int, e.g., 20)
– `RSI_PERIOD` (int, e.g., 14)
– `OVERBOUGHT_THRESHOLD` (float/int, upper bound for RSI/Stochastic, e.g., 70 or 80)
– `OVERSOLD_THRESHOLD` (float/int, lower bound for RSI/Stochastic, e.g., 30 or 20)
– `START_HOUR` (int, New York session start hour in broker/server time)
– `END_HOUR` (int, New York session end hour)
– `MIN_ACCOUNT_BALANCE` (float, minimum balance for trading, e.g., 20.0)
*All global variables should be well documented in the code with explanations.*
### EA Lifecycle Function Specifications:
1. OnInit()
– Validate all input/global parameters for correct ranges and reasonable values.
– Initialize and attach EMA, RSI, MACD, and Stochastic Oscillator indicators.
– Calculate the initial lot size based on 1% of the current account balance.
2. OnDeinit()
– Properly release and detach all indicators and any allocated resources.
3. News Detection Module
– Implement a function or module that retrieves upcoming or ongoing scheduled news events for the current symbol.
– The EA must avoid placing new trades if news events affect the symbol during the trading window.
4. OnTick() or Custom Function for Bar/Tick Calculations
– On every tick or new bar, recalculate indicator values: EMA, RSI, MACD histogram, Stochastic %K and %D, and volume status.
– Ensure the current local broker time is within `START_HOUR` and `END_HOUR` and no news event is active.
– Generate clear and combined trade signals:
– Buy Signal:
– Price above EMA
– RSI below oversold threshold
– Confirm bullish divergences on MACD and RSI
– Stochastic %K crossing above %D in oversold zone
– Upward volume momentum
– Sell Signal:
– Price below EMA
– RSI above overbought threshold
– Confirm bearish divergences on MACD and RSI
– Stochastic %K crossing below %D in overbought zone
– Downward volume momentum
– Dynamically calculate lot size as 1% of account balance.
– Open new trades according to signals; set dynamic TP and SL.
– Detect market reversals and divergences; if detected, close current positions and open reversed trades.
– Modify or close orders prudently based on updated signals.
5. Order Management Utilities:
– Implement robust wrappers over `OrderSend()` for opening/modifying orders with correct SL and TP.
– Implement safe order closing functions handling errors gracefully.
### Additional Implementation Details and Best Practices:
– Include comprehensive inline code comments explaining logic, inputs, parameters, calculations, and rationale.
– Provide recommendations within code comments for optimizing key indicator parameters (EMA, RSI periods, thresholds).
– Ensure EA supports MetaTrader 5 backtesting, restricting test data to New York session or user-defined times.
– Validate all parameters at runtime, handling errors with clear messages.
– Enable smooth operation on demo accounts for live testing.
– Adhere strictly to MQL5 standards, modular code organization, and best practice principles.
# Output Format
– A single, complete MQL5 Expert Advisor source code file (.mq5), modular, readable, and well-commented.
– Code sections should be clearly separated:
– Global variables
– Initialization
– Indicator calculations
– Signal generation
– Order execution
– News detection
– Reversal handling
– Order management
– Cleanup
– Include documentation at the top of the file describing all inputs and global variables.
# Examples
– On a new tick/bar, the EA computes EMA(20), RSI(14), MACD histogram, stochastic %K and %D, and volume.
– If price > EMA(20), RSI < 30 oversold level, bullish divergences are present on MACD and RSI, stochastic %K crosses above %D in oversold region, and volume indicates strength, then during New York session hours the EA places a buy order sized at 1% of the current balance.
– If reversal signals appear (bearish divergences etc.), the EA closes the buy trade and opens a sell trade with adaptive SL and TP.
Deliver the final solution as a ready-to-deploy expert-level MQL5 EA source code implementing all specified features and constraints comprehensively and cleanly.