Professional Algorithmic Trading & Expert Advisor Development

Hello everyone,

I’m a professional algorithmic trading developer specializing in:

Expert Advisor development (MT4 / MT5 – MQL4 / MQL5)

TradingView strategy & indicator scripting (Pine Script)

Python-based trading systems (Backtesting, Optimization, AI models)

High-performance trading engines in C++

Machine learning model training for market prediction

My focus is on building fast, precise, and fully optimized trading systems with:

Robust risk management logic

Multi-timeframe & multi-symbol architecture

Advanced order execution handling

Strategy optimization & walk-forward testing

AI-driven signal generation

If you are looking for:

Custom Expert Advisors

Strategy conversion (e.g., TradingView → MT5)

Optimization and performance improvement of existing bots

AI integration into trading systems

High-speed execution systems in C++

Feel free to reach out. I’m open to collaboration, freelance projects, and technical discussions.

Let’s build smarter trading systems.

hello @codefinance - Are you open to connect and discuss a project to build? Let me know.

I am searching experienced traders or algorithmic traders to make a team for my project, if anyone want to make a good project with i am here

Hello,

I am interested in collaborating with you on your project and would appreciate receiving more details about the plan and the structure of the collaboration.

Please feel free to contact me via email at:

[email protected]

Best regards,

Why Coding an EA for Prop Firms Is Harder Than You ThinkIf you've built a standard Expert Advisor before — or tried running an off-the-shelf bot on a prop account — you already know something went wrong. The strategy looked fine in backtest. The logic was solid. But the prop firm flagged a violation, or the account blew during a perfectly normal drawdown.

This is not a strategy problem. It's an engineering problem.

Here are the real technical challenges that make prop firm EA development a different discipline entirely.

 1. Drawdown Calculation Is Not StandardizedEvery prop firm defines drawdown differently. Some calculate daily drawdown from the midnight balance. Others track it from the highest equity reached during the challenge. A few use a hybrid model.

A properly built prop EA doesn't just monitor equity — it replicates the exact drawdown logic of the specific firm it's running on. This means the engine must track session boundaries, equity peaks, and running P&L independently, tick by tick, using AccountInfoDouble(ACCOUNT_EQUITY) in real time. A single miscalculation here means a blown account with no warning.

 2. Dynamic Position Sizing Under Risk ConstraintsFixed lot sizes don't belong in a prop environment. Every trade must be sized based on the distance to the stop loss, the current account balance, and the maximum allowable risk per trade — typically 0.5% to 1%.

The formula itself is straightforward. The challenge is implementing it correctly so that rounding, broker minimum lot steps, and partial position closes don't silently push risk above the allowed threshold.

 3. News Filtering Requires a Live API ConnectionMost funded account programs prohibit trading during high-impact news events. Implementing a real news filter in MQL5 means making live HTTP requests via WebRequest() to an external calendar source — and handling every failure case properly.

If the connection drops and the EA has no fallback logic, it either trades during a restricted window or freezes entirely. Both outcomes are problems. This part of the code needs to be bulletproof.

 4. Hidden Rules That Aren't in the FAQProp firms often enforce rules that aren't prominently listed: mandatory stop losses on every open trade, restrictions on holding positions over weekends or through specific sessions, maximum open lot limits, or consistency rules that penalize abnormal profit spikes.

A well-built EA enforces these constraints at the order execution layer — not just at entry, but continuously while trades are open. This requires a monitoring loop that runs independently of the strategy logic.

 5. Backtest Performance Means Nothing Without Forward ValidationA 99.9% tick data backtest in MT5 is the starting point, not the finish line. Real prop accounts introduce variable spreads, execution latency from VPS distance, and slippage during volatile conditions — none of which appear in a Strategy Tester run.

Forward testing on a demo account that mirrors the prop firm's conditions is mandatory before going live. EAs that skip this step almost always fail within the first two weeks of a funded phase.

 The Core Problem With Most Prop EAs on the MarketThe majority of commercial prop EAs are built to look good on a backtest PDF. They use martingale or grid logic to manufacture a smooth equity curve, pass phase one by luck, and then collapse under normal market conditions during the funded phase.

The firm keeps the challenge fee. The trader loses the account.

A genuinely effective prop EA is not a signal generator with a pretty chart. It's a risk management system with a strategy attached to it.

 What I Do at codefinanceI build custom Expert Advisors for prop firm challenges — coded from scratch around your specific strategy, with a drawdown engine calibrated to your firm's exact rules, dynamic position sizing, live news filtering, and full forward test validation before handoff.

If you have a strategy that works manually but you're losing accounts to emotional decisions or rule violations, that's exactly the problem I solve.

Check my profile for verified backtest results and live account performance. If you have a project or a question, send me a message here.