You will get a custom Python WebSocket infrastructure for algorithmic trading
Project details
Most retail algorithmic traders bleed capital silently because they rely on standard REST APIs to execute their orders, sending a traditional HTTP request takes hundreds of milliseconds, in volatile markets that latency guarantees you will suffer massive slippage before your order even reaches the matching engine.
I engineer high-frequency WebSocket architectures in Python that maintain persistent localized connections directly to exchange servers, we bypass the standard public routing to ensure your trading logic reacts to order book imbalances in single-digit milliseconds, writing a simple moving average crossover script is easy. Architecting an asynchronous event-driven state machine that manages live memory streams without memory leaks requires actual institutional engineering. If your strategy demands absolute precision for market making or statistical arbitrage we need to build a real execution gateway, stop losing money to infrastructure delays.
I engineer high-frequency WebSocket architectures in Python that maintain persistent localized connections directly to exchange servers, we bypass the standard public routing to ensure your trading logic reacts to order book imbalances in single-digit milliseconds, writing a simple moving average crossover script is easy. Architecting an asynchronous event-driven state machine that manages live memory streams without memory leaks requires actual institutional engineering. If your strategy demands absolute precision for market making or statistical arbitrage we need to build a real execution gateway, stop losing money to infrastructure delays.
Programming Languages
Python, C#, GoCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$700
|
Standard
$1,800
|
Advanced
$4,800
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 25 days |
Number of Revisions | 1 | 2 | 3 |
Install Script | - | ||
Test Script | |||
Task Automation | - |
Frequently asked questions
About Eduardo
Senior Anti-Bot Automation Engineer & Quant Developer (Python/C++)
Divinopolis, Brazil - 10:35 am local time
I am a Systems Engineer specialized in high-level automation and quantitative trading. I don't just write scripts. I build resilient, stealthy, and industrial-grade architectures. When it comes to anti-bot bypass and enterprise web extraction, I engineer custom headless browser stealth using Playwright, Puppeteer, and Selenium. I routinely reverse-engineer WebGL, Canvas, and WebRTC fingerprints. To bypass strict Datadome, PerimeterX, or Akamai checks, I deploy kernel-level hardware injection like virtual V4L2loopback devices. This allows complex DOM parsing and CAPTCHA circumvention for massive B2B data pipelines.
On the financial engineering side, I develop fail-safe Expert Advisors using C++ for MT4 and MT5. My algorithmic trading architectures rely heavily on Smart Money Concepts. I map liquidity sweeps, order blocks, and multi-timeframe price action entirely without lagging indicators. I also implement stealth trade management to hide stop losses and take profits from brokers, preventing virtual stop-outs. This includes real-time WebSockets integration and OS-level memory reading for dynamic web brokers. I only take on complex, high-value challenges. If your current bot is getting blocked or if you need a bulletproof financial engine ready to protect real capital, let's discuss your target and scale.
"At 6, I disassembled toys to understand their mechanics, by 12, I was captivated by the intersection of art and mathematics. I see the micro and macro connections like a musical arrangement, to me, everything is a grand opera; a harmony that makes my eyes shine."
Steps for completing your project
After purchasing the project, send requirements so Eduardo can start the project.
Delivery time starts when Eduardo receives requirements from you.
Eduardo works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture and Latency Profiling
I map the physical and network distance to the target exchange servers to design the most efficient asynchronous data ingestion loop possible.
Asynchronous Engine Development
I code the core Python event loop using advanced asynchronous libraries to handle thousands of incoming market messages per second without freezing the execution thread.