Senior Algorithmic Trader / MQL4/MQL5 Developer for Custom SMC, ICT & HFT Scaled Trading Bot

We are looking for an expert algorithmic trading developer to build a high-performance, fully automated Custom Expert Advisor (EA) or trading bot. The bot must integrate advanced Smart Money Concepts (SMC), Inner Circle Trader (ICT) methodologies, and Volume Spread Analysis (VSA) with a high-frequency trading (HFT) style execution and scaling model.

The core objective is to program a bot that identifies institutional market bias from High Time Frames (HTF) down to Lower Time Frames (LTF), pinpointing high-probability liquidity pools and execution zones, and scaling into positions dynamically as price moves toward the target.

Key Core Features & Trading Logic Required

1. Multi-Timeframe Analysis & Market Structure

• HTF to LTF Analysis: Top-down analysis starting from Higher Time Frames to establish overall directional bias before executing on lower time frames.

• SMC & ICT Concepts: Automated identification of:

  • Market Structure Shifts (MSS) and CHoCH (Change of Character).

  • Order Blocks (OB) and Fair Value Gaps (FVG).

  • Liquidity sweeps, Premium & Discount Zones.

  • Advanced market structures including Internal Range Liquidity (ITL/ITH) and External Range Liquidity (STL/STH), integrated with fractal analysis.

• Volume & Price Action: Integration of VSA (Volume Spread Analysis) alongside Supply and Demand zones to confirm institutional participation.

2. HFT-Style Execution & Scaling Logic

• Dynamic Directional Bias: The bot must accurately determine current market direction and ride the move continuously.

• Progressive / HFT-Style Entries: Once a valid zone (Demand, Order Block, or VSA signal) is identified, instead of a single entry, the bot should execute multiple, rapid, HFT-style scaled entries (pyramiding/scaling) as price progresses toward the predefined Take Profit (TP) target.

• Automated Risk & Trade Management:

  • Dynamic trailing stop losses that adjust automatically as trades move further into profit.

  • Bulk closing mechanism that closes all accumulated positions simultaneously once the primary target (TP) is reached.

3. Market Maker Cycle (Continuous Reversal & Continuation)

• Dynamic State Switching: After closing trades at the target, the bot must immediately reassess market conditions, identify the new directional bias (whether continuation or reversal in a market-maker style model), and begin the cycle again in the opposite or continuing direction.

Technical & Platform Requirements

• Platform: MQL4 / MQL5 (MetaTrader) or cTrader (specify your preferred platform in your proposal).

• Execution Speed: Optimized for low latency, clean execution loops, and robust error handling.

• Customization: Clean, well-commented source code with external inputs for risk management, lot sizing, step sizes for HFT scaling, and session filters.

• Backtesting & Optimization: Must include a strategy tester report demonstrating logic reliability across historical data.

Developer Qualifications

• Proven track record in developing advanced algorithmic bots utilizing SMC, ICT, or Price Action/Volume profiles.

• Deep understanding of algorithmic execution, pending order management, multi-tier scaling, and dynamic stop-loss trailing.

• Ability to write clean, modular, and bug-free code.