What we set out to build
To turn a large body of discretionary trading methodology into something mechanical, testable and publishable.
What was built
- A master engine implementing 35 models with a strategy twin for backtesting
- 70 single-model files sharing one engine, so a fix lands everywhere at once
- A 30-setup indicator with a bias engine, market-structure breaks, trade boxes and a performance dashboard
- A multi-timeframe fork running the engine at higher timeframes
- A port of the model suite into Python for real backtesting against the research engine
What it achieves
- The suite runs inside a hard platform ceiling of 100,256 compiled tokens, which required measuring every version against the limit rather than discovering it at compile time
- The Python port makes the models testable with the same statistical rigour as every other strategy in the research engine, rather than being judged by eye on a chart
The stack
Pine Script v5/v6, Python.
Common questions
How was this built?
This was built through Colabs, our sister company. A founder brought the idea and the domain knowledge, Colabs brought the team, the founder funded the build with a monthly subscription, and they hold equity in the company that resulted. We label every case study, because a studio that publishes its prices and argues the other side of its own comparisons has to be equally precise about its own portfolio.
What state is it in?
Published. We state that plainly rather than describing everything as production: several things here are deliberately gated, and the reason is usually evidence rather than a missing feature.
Can you build something like this for us?
That is the point of publishing it. The same patterns are in the catalogue at published prices, and you can scope your own version on the plain-English page without contacting us first.
Where to next
If something here is close to what you need, the same patterns are in the catalogue at published prices, or you can describe your version in plain English and get it scoped and priced without talking to anyone.