The Integration Challenge
Manual data entry and delayed market information were creating real friction in the client's financial analysis process. They were working with Excel-based models that required live market data from Interactive Brokers, but without a direct connection, every data refresh was a time-consuming, error-prone task.
The project had a firm two-week deadline and zero tolerance for instability. Any gaps in the data pipeline would have interrupted active trading workflows, making reliability the defining requirement from the outset.
Our Technical Approach
Helion360 started by auditing the client's existing spreadsheet architecture to understand exactly where live data needed to land and how it would interact with their existing formulas and models. Rather than retrofitting a generic solution, we designed the integration around their specific workflow.
We connected Excel to the Interactive Brokers TWS API using VBA scripting paired with socket-based communication to handle real-time data streaming. The build was staged — each data feed was tested in isolation before being incorporated into the full pipeline. We wrote custom error handling and reconnection logic so the system could self-recover from any dropped sessions without requiring manual intervention from the client.
What Was Delivered
By the end of the engagement, the client had a fully operational, real-time data pipeline running between Interactive Brokers and their Excel environment. Live price quotes, volume figures, and instrument-level data were populating their models automatically, replacing a slow manual process with a clean automated feed.
The integration was completed ahead of the deadline, leaving time for structured testing and documentation before handoff. Since delivery, the system has continued to perform without disruption.
Working With Helion360
If your financial workflows depend on accurate, live data and you need a custom integration built to a tight timeline, Helion360 has the technical depth to get it done right. We take on projects where precision matters and where getting it wrong is not an option.


