About

StratoQuant helps self-directed traders replace gut-feel decisions with a mechanical system they can read, test and run themselves. It is the work of one person, backed by a licensed company. Both halves are below, the person first, because that is who you would actually be working with.

The person

Baris Demirci

Mechanical engineer, MSc in Artificial Intelligence. In the markets since 2017.

Why systematic

I came to the markets in 2017 as an investor, and over the following years I became an active trader. I could do it. What I could not do was keep doing it.

Discretionary trading asks for your time every day the market is open, and for your judgement on exactly the days you are least fit to give it. I have a steady temperament, and it was still not enough. The stress built up, and decisions that should have been rules kept turning into moods.

I am a mechanical engineer by training. An engineer does not trust a mechanism because it worked once. You write a specification, test it against conditions it was not designed for, and expect it to behave the same way every time. My MSc in Artificial Intelligence added the other half. These days that means AI agents that search the data, run the tests and audit the work, kept to the same discipline as everything else: written rules, and a record of what they did.

Put together, the answer was plain. Write the rules down, test them honestly, and let a mechanical system carry the decisions I should not be making under pressure. StratoQuant is that method, written down so that other self-directed traders can read it, test it and run it themselves.

Why end-of-day, and why US stocks

My systems decide once a day, after the close, and the orders go in for the next session. Nothing needs watching while the market is open. That was the point: the screen time and the intraday stress were what wore discretionary trading down, so the system has no use for them. End-of-day data is also the cleanest to test on, and costs and fills at the open or the close can be modelled honestly.

I trade US stocks because the market is the deepest and most liquid there is, its history is long enough to test a system across several very different regimes, and costs are low enough that a modest system is not eaten alive by them. It is also a market you can reach from almost anywhere, which matters to anyone who runs their own.

What I actually do

I design and run mechanical portfolio management systems on my own capital, and I build the software they need. Every rule is written before it is traded, tested against data it was not designed on, and left alone once it is live. That last part is the hard one.

How the work is offered

Two ways. Firms engage the company to build systematic tooling or to license its models. Individuals get complete systems as Python code: rules, code and assumptions in full, nothing hidden. In both cases the software is handed over and every trading decision stays with the person or firm running it.

What I won’t do

• Manage your money or pool anyone’s funds
• Hold your broker credentials or place an order in your account
• Tell you what to buy or sell, or publish tips, calls or forecasts
• Show you an equity curve and imply it is what you should expect

Nothing I publish or sell is personalised investment advice, and I am not licensed to give it. That line is deliberate and it does not move.

The company

StratoQuant

StratoQuant operates in the Qatar Financial Centre under QFC Licence 03837. It is not authorised by the QFC Regulatory Authority, carries out no regulated activity, and does not hold client money or client assets. The registered company details are under Contact.

Contact

Getting in touch

For business and engineering enquiries, use the enquiry form or write to hello@stratoquant.com. Request the free systems’ Python code and plain-language rules from the systems page. To hear about later releases, join the notification list.

Elsewhere

• @StratoQuant on X