Python Trading Dashboards
Live views of positions, risk and performance for you or your team.
Research code and production code have different requirements, and most trading projects stall at the gap between them. We build both, and the bridge in between: notebooks that become services, scripts that become tested libraries.
On a python trading dashboards engagement this means starting from what you already have — an idea, a spreadsheet, a running system, or a set of results that do not add up — and working from there rather than insisting on a rebuild. Where the honest answer is that the work is not worth doing, that is what you will be told.
What you get
- Python trading systems built as maintainable packages, not scripts
- Broker and data APIs wrapped behind clean, testable interfaces
- Research notebooks refactored into deployable production code
- Test coverage, logging and error handling appropriate to live capital
How the work runs
Scope
A short call and a written scope: what the system must do, what data it needs, what counts as done. Fixed price where the scope allows it.
Build
Work in reviewable increments, with running code you can see rather than a status update. Assumptions are surfaced as they arise, not at the end.
Test
Independent testing against the acceptance criteria agreed in the scope, including the failure cases.
Handover
Source code, documentation and a walkthrough. You own the result and can maintain it without us.
Tell us what you are trying to build
Describe the problem and we will tell you plainly whether we can help, roughly what it would take, and what it would cost. If it is not a fit, we will say so.
Build My Trading Dashboard