Houman Azimi-Nejadi
Founder, Barg Labs
I’m building Barg Labs around a simpler question:
How do you turn a trading idea into a live strategy without handing control to a black box?
Barg Labs is not a generic AI tool or a retail trading platform. It is a system for running trading strategies in real markets with real execution, explicit risk controls, and hands-on oversight. The goal is simple: help people run strategies automatically, safely, and with clear control over what the system is allowed to do.
The product is called Egbert.
Background
I have spent more than 25 years working as a software engineer, building and operating complex software systems across multiple domains.
Over the past several years my work has focused on what happens when software moves from analysis into action. That means less interest in demos and more interest in whether a system can behave predictably when it is live, exposed to real conditions, and responsible for real outcomes.
Markets made that problem especially clear. Many products talk about intelligence or automation, but far fewer are designed to run strategies safely and reliably once money is actually at risk.
Why Barg Labs
Barg Labs emerged from a practical belief: if someone has a real trading idea, they should be able to turn it into a live strategy without stitching together a research stack, an execution engine, and a risk layer on their own.
I’m building the system to do exactly that. A strategy can be defined clearly, deployed into real markets, and run automatically with risk controls, monitoring, and human review built in from the start.
This is not a black box. It is designed so the user understands the rules, sees how the strategy behaves, and stays in control while the system handles execution and day-to-day operation.
Safety first
Safety over profit is a product decision here, not a disclaimer added at the end. Every strategy is deployed with explicit risk limits, controlled exposure, and a kill switch before it is allowed to run.
The system is designed to prevent blowups, not chase activity for its own sake. Position sizing, exposure boundaries, monitoring, and stop conditions exist so a strategy stays legible and bounded even when markets move unexpectedly.
The user retains control at all times. Strategies can be reviewed, adjusted, paused, or shut down entirely, and nothing is treated as untouchable once it is live.
Live today
Real execution before broad rollout.
The system is live and running real strategies rather than sitting in a research environment. It is built for actual execution, monitoring, and controlled rollout.
It already supports multiple market workflows, with live work today in prediction markets and FX and a path to extend the same operating model across other markets.
Early users are already using it in collaboration with me, which means the product is being shaped by real deployment constraints, not hypothetical ones.
How I work with users
Hands-on onboarding, limited access.
Manual onboarding
Early users are onboarded directly by me. We start small, define the strategy carefully, and set the limits before anything is allowed to run.
Deployed together
I work with each user to turn an idea into a live strategy. We review the rules, the risk boundaries, and the expected behavior together so the system is understandable before it is automated.
Iterative collaboration
After launch, we refine it collaboratively. We look at how it behaves in practice, tighten what needs tightening, and expand only when the system has earned more room.
Who this is for
Barg Labs is for people who already have strategy ideas and want automation without losing control of how those ideas are expressed in the market.
The best early users are willing to start small, work through the rules carefully, and improve the strategy through real feedback rather than trying to skip straight to full autonomy.
If you want guided autopilot trading with clear boundaries and direct access to the person building the system, this is the right kind of fit.
Working with a small number of users.
If this resonates, reach out. I’m onboarding a small number of users directly and working with them hands-on from strategy definition through live deployment and iteration.