From manual to autonomous trading, our customer chose DBL to take his futures trading to the next level. We designed a system that they could securely login from using SSL and includes support to upload custom trading algorithms. Our customer could upload their sensitive algorithms safely and have them integrated into the trading system.
The customer wanted the client tool simple and cross-platform so we developed the client using the NCurses library.
Once we had a solid understanding for what it would take to build the system, we wrote proposals that would detail the costs and timeline. We worked with the customer to determine what was possible considering the project of this size and their budget.
Our team send the hardware specifications for the servers to the customer who purchased them. We began implementing the database and wrote programs that could interface with the R | Trading Platform.
We met with our customer as we closed in on significant milestones. This was a big project and we made sure everything was to specification. We met every other week in person the final few months.
The futures trading server deployed and running, our customer was happily making money even when he slept! We delivered all passwords to the development server, database, and delivered the wiki that details build steps and the custom Python API.
Our customer depended on us for our software expertise and they had plans to scale the system later. They requested online documentation that could be followed with step-by-step instructions to build the project from source. It includes database table schemas, high-level overview, how to launch the server correctly, and finally the Python API that allows our customer to upload scripts to be used as algorithms on-the-fly.
The Python API pages of the documentation provides function names and their use. It includes example scripts for future reference.
This system is intricate and feature-rich. If you would like to know more about building a similar product, contact us today.
