You will get a Custom Interactive Brokers | IBKR | API Connector for Automated Trading
Top Rated
Top Rated
Project details
You will get a custom-built Interactive Brokers (IBKR) API connector tailored for your trading infrastructure. Whether you’re building automated trading logic, integrating market data into existing systems, or need a containerized, production-ready interface to IB Gateway or TWS — I’ll provide a robust and flexible solution tailored to your infrastructure.
As an experienced backend and DevOps engineer specializing in trading systems, I offer more than just raw code. The connector is designed with resilience in mind: full support for connectivity checks, reauthorization, reconnection logic, and restart on failure — all packaged with Docker and built for reliability.
From clean code delivery (Starter) to full system integration (Standard) or advanced deployment with one-month support (Advanced), I adapt the implementation based on your specific use case. All I need from you is a clear understanding of your target environment and how you plan to use the connector — the rest is handled with precision.
As an experienced backend and DevOps engineer specializing in trading systems, I offer more than just raw code. The connector is designed with resilience in mind: full support for connectivity checks, reauthorization, reconnection logic, and restart on failure — all packaged with Docker and built for reliability.
From clean code delivery (Starter) to full system integration (Standard) or advanced deployment with one-month support (Advanced), I adapt the implementation based on your specific use case. All I need from you is a clear understanding of your target environment and how you plan to use the connector — the rest is handled with precision.
Programming Languages
Python, Java, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$2,000
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 0 | 2 | 5 |
Design Customization | - | ||
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
7 reviews
(7)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
AB
Alex B.
Jan 25, 2026
Kotlin Backend Developer for Crypto Funding Rate Arbitrage Scanner (Stage 1)
Oleksii is a top-tier Kotlin expert. He didn't just code, he architected a fail-safe, low-latency detection system that handles Binance, Kraken, and OKX perfectly. He correctly implemented Kraken's V2 WebSockets and robust concurrency patterns (SupervisorJob) without being asked. Fast, professional, and technically brilliant. We are immediately moving to Stage 2 with him.
AH
Alex H.
Oct 1, 2025
Implement Trading Bot Signals Analyzer
Very good freelancer, excellent understanding and skill levels
AH
Alex H.
Sep 23, 2025
general consultations
Pleaseure working with Oleksii, reponsible good expirience
AL
Aaron L.
Apr 21, 2025
Interactive Brokers API Integration Specialist Needed
Oleksii really went above and beyond. He explained everything very clearly and worked with me on exactly what I needed. Highly recommend.
BR
Bohdan R.
Dec 21, 2024
Cloud Backend AWS Developer for Crypto Trading Platform
Working with Oleksii and the CodeVotum team was a great experience. They delivered a secure and scalable solution using Java and AWS Cloud technologies, handling real-time signal processing and API integration with ease. Their attention to detail and commitment to quality were outstanding. I highly recommend Oleksii and CodeVotum for any technical project requiring expertise and reliability.
About Oleksii
Crypto Arbitrage Bot | Trading Bot Developer | MEV | DEX | CEX
100%
Job Success
Krakow, Poland - 6:01 pm local time
📈 Funding Rate Arbitrage System (Recent)
Currently building a low-latency cryptocurrency funding rate arbitrage system that operates across multiple centralized and decentralized venues. Originally prototyped in Java and Kotlin, the system has been completely rewritten in Rust to meet stricter latency and reliability requirements. Technologies used:
🔹 Rust at the core for execution-critical paths, including order routing, position reconciliation, and venue connectors where tight latency budgets and predictable performance matter most
🔹 Native integrations with Binance, Bybit, Hyperliquid, and Kraken, covering both perpetual futures and spot legs
🔹 Real-time funding rate aggregation, slippage modeling, fee accounting, and risk management to identify and capture cross-venue spreads
⚡ IoT Platform
I have worked on a distributed IoT platform in AWS IoT with numerous integrations and a complex architecture. Transitioned the platform from Telit to AWS IoT Core.
Technologies used:
🔹 Java Spring Boot with AWS ECS to develop a scalable message-processing microservices pipeline
🔹 Dagger 2 with AWS Lambda for efficient dependency injection in serverless applications
🔹 Node.js (TypeScript) with AWS Lambda functions to implement specific integrations and enhance functionality
🚀 FinTech Trading System
Developed a robust, scalable trading system capable of handling dozens of symbols across multiple accounts and brokerages.
Technologies used:
🔹 The trading system is being developed using Java and Kotlin within a Spring Boot microservices architecture
🔹 Apache Kafka integrated to support the backtesting of extensive datasets
🔹 To complement the backend functionality, I developed a simple UI using React and Redux, enabling users to interact with the system
🔹 Additionally, I researched and implemented a separate module written in Python, leveraging Deep Reinforcement Learning (DRL) techniques to explore advanced analytical capabilities
🔹 Integrations with OpenAI, Binance, Metatrader (via MetaApi), and Snapi news API (Crypto, Forex, Stocks) further enriched the system’s versatility and scope
🔹 For CI/CD processes, I utilized GitLab and Docker Compose with a Cloud Native Buildpacks (CNB) approach to streamline deployments and ensure efficient workflows
🛍️ E-commerce
Worked as a full-stack developer on various e-commerce projects, utilizing a wide variety of technologies and frameworks such as Java, SAP Commerce Cloud (Hybris), Spring, Apache Kafka, Hibernate, Hazelcast, Apache Solr, Kubernetes, React, and others.
Steps for completing your project
After purchasing the project, send requirements so Oleksii can start the project.
Delivery time starts when Oleksii receives requirements from you.
Oleksii works on your project following the steps below.
Revisions may occur after the delivery date.
Define Connector Requirements
Analyze client’s use case and plan required API endpoints, protocols, and data flows.
Set Up Infrastructure & Containerization
Package the connector using Docker. Configure runtime environment and networking for local or server deployment.