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You will get a Prop trading platform | CRM | Backend | trading platform

Ali A.Status: Offline
Ali A. Ali A.
4.8
Preview imagePreview image

Let a pro handle the details

Buy Web Application Programming services from Ali, priced and ready to go.
Ali A.Status: Offline
Ali A. Ali A.
4.8
Preview imagePreview image

Let a pro handle the details

Buy Web Application Programming services from Ali, priced and ready to go.

Project details

Build a professional prop trading platform / backend / CRM designed for real trading operations — not demos.

I develop institutional-grade systems with:

 • MT4 / MT5 integration or custom APIs
 • Trade execution + copy trading (auto-mirroring)
 • User management & prop firm evaluation logic
 • Real-time PnL, drawdown, and risk tracking
 • Low-latency data pipelines (WebSocket + REST)
 • Scalable backend + responsive dashboard

This is ideal for:

 • Prop firms (API-based or platformless models)
 • Algo trading platforms
 • Copy trading businesses
 • Fintech startups

What makes this different:
I’m a quant trader + system builder, not just a developer. Every component is built with execution, latency, and real market conditions in mind.

If you’re serious about building a real trading platform, I’ll help you design and deploy it end-to-end.

Let’s build something that actually trades, not a simple UI
Programming Languages
Python, TypeScript
Coding Expertise
Cross Browser & Device Compatibility

What's included $2,000

These options are included with the project scope.

$2,000
  • Delivery Time 20 days
  • Number of Revisions Unlimited
  • Number of Pages 10
    • Design Customization
    • Content Upload
    • Responsive Design
Optional add-ons You can add these on the next page.
Source Code
+$3,000
4.8
7 reviews
86% Complete
(6)
1% Complete
(0)
14% Complete
(1)
1% Complete
(0)
1% Complete
(0)

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Deep Learning/ Machine Learning Expert Ali was highly knowledgeable about the selected project. I will hire again for a similar project.

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Ali A.Status: Offline

About Ali

Ali A.Status: Offline
Senior Quantitative Developer
4.8  (7 reviews)
Dubai, United Arab Emirates - 8:58 pm local time
Quantitative Trading | AI/ML Systems | Low-Latency Execution | HFT Infrastructure

I help systematic trading teams build production-grade quantitative trading systems that actually work in live markets.

Over the past 10+ years, I’ve designed and deployed algorithmic trading infrastructure across FX, crypto, equities, and derivatives; covering the full pipeline from research and feature engineering to execution, monitoring, and risk management.

My work focuses on solving one of the biggest problems in systematic trading:

The gap between backtests and live performance.

I specialize in:
→ Event-driven backtesting with strict point-in-time correctness
→ Low-latency execution systems & market microstructure
→ FX & crypto execution optimization
→ AI/ML signal research & feature engineering
→ Cross-venue and statistical arbitrage
→ Market making & inventory-aware execution
→ Risk-aware portfolio and position management
→ Tick-level & L2 order book data systems

I build high-performance infrastructure using Python and C++, working with shared memory, mmap, multiprocessing, WebSockets, FIX APIs, REST APIs, Redis, and event-driven architectures.

Selected work includes:
→ Point-in-time multi-asset backtesting engines
→ Low-latency market-making systems
→ Real-time FX & crypto arbitrage engines
→ Shared-memory tick processing pipelines
→ AI-driven signal research frameworks
→ Execution analytics & slippage analysis systems

I focus on robustness over overfitting, execution over theory, and systems that behave realistically under live market conditions.

If you're building or scaling a serious systematic trading operation and need help with research infrastructure, execution systems, backtesting, or production trading architecture, feel free to reach out.

------------

Notable Projects

Built a high-performance event-driven backtesting engine designed around strict point-in-time correctness, capable of handling multi-asset data with realistic execution modeling. The system supports tick and bar data, corporate actions, and reproduces live trading behavior without lookahead bias, enabling reliable research-to-production transition.

Designed and deployed a low-latency market making system based on inventory-aware pricing and microstructure signals. The system incorporates dynamic spread adjustment, adverse selection control, and execution optimization to maintain profitability under varying liquidity and volatility regimes.

Developed a real-time cross-venue arbitrage engine across FX and crypto markets, integrating multiple brokers and exchanges. The system includes latency-aware signal validation, quote synchronization, execution throttling, and risk controls to capture short-lived inefficiencies in live markets.

Engineered a shared-memory, ultra-low latency data pipeline between trading platforms and Python-based orchestrators using custom C++ DLLs and ring buffers. The system delivers sub-millisecond tick propagation with sequence tracking, enabling high-frequency strategies and real-time analytics.

Created an entropy-based data mining framework for large-scale strategy discovery, focusing on information-theoretic feature selection to reduce overfitting and improve robustness. The framework evaluates thousands of indicators and permutations while controlling for data mining bias.

Built advanced machine learning pipelines for alpha generation, including meta-labeling frameworks, probabilistic signal filtering, and feature engineering tailored to financial time series. Models are designed for stability across regime

Steps for completing your project

After purchasing the project, send requirements so Ali can start the project.

Delivery time starts when Ali receives requirements from you.

Ali works on your project following the steps below.

Revisions may occur after the delivery date.

client either sends his desired UX/UI or we build it for him

client either sends his desired UX/UI or we build it for him

Review the work, release payment, and leave feedback to Ali.