Mark Ramos · Founder · August 8, 2026

There’s a paradox in retail trading right now.

We’re drowning in signals — every YouTube channel, every Twitter thread, every $99/mo Discord promising “the AI edge that beats Wall Street.” But when I sat down two years ago and asked myself, “Which of these would I actually trust with my own money, day after day?” — I couldn’t name one.

That’s why I built Trding.ai.

The problem I was actually trying to solve

I’m not a lifelong trader. I’ve spent 20+ years as an IT automation architect — building enterprise systems where “it kind of works most of the time” is a career-ending sentence. Cloud infrastructure, complex integrations, systems that have to fire correctly at 3 AM without a human watching.

I started actively trading about a year ago. And within months, coming from that engineering discipline, I looked at the retail trading world and had one loud thought: “Why is almost nothing here built the way I’d build it?”

Cherry-picked backtests presented as headline results. Indicators that work on the one ticker they were tuned on. “AI edges” that quietly stop working the day you subscribe. Systems with zero audit trail and zero acknowledgment when they fail.

I wanted three things:

1. A system I could audit myself. No black-box neural networks. Rules I could open up, poke at, and understand.
2. Honest performance data. If a preset didn’t work, I wanted the row showing it didn’t work, not hidden behind a marketing headline.
3. Automation I could actually trust. The kind that fires trades when I’m asleep, on a plane, or handling my parents’ medical stuff — and doesn’t panic-sell my account.

Nothing I could buy checked all three boxes. So I built it.

What “AI” actually means here

Let me be direct about this because it matters: Trding.ai is not ChatGPT for trading. We don’t use large language models. We don’t ask an LLM “should I buy AAPL?” and hope it doesn’t hallucinate.

Trding.ai is algorithmic AI — the same category as Netflix’s recommendation engine or credit-card fraud detection. Pattern recognition and multi-factor scoring, running in real time, across every candle on every ticker you’re watching.

The 5 indicators score every potential setup on a 10-point Odds Enhancer scale:

• Zone Structure (5 points) — where the setup lives on the chart
• Context (3 points) — is the market with you or against you
• Reward-to-Risk (2 points) — is the math actually favorable

Only setups scoring ≥8 fire as HIGH-grade signals. Everything else the system rejects, quietly, without you ever seeing it. That’s the AI edge — decision-making at a scale no human trader can match, without the emotional whiplash.

Why I’m still solo

Every business advisor I talk to asks the same question: “When are you hiring?”

The answer, for now, is later than you’d think.

I’m running the Dan Martell “buyback loop” playbook — every hire has to buy back my time at a rate that makes the math work. Right now, the leverage is code and AI, not headcount. I have:

• 5 indicators built and maintained by me
• A cloud bot on Railway processing signals 24/7
• A subscriber pipeline (Stripe → PMS → auto-grant to TradingView) that fires without my involvement
• A weekly digest cron that emails performance to every subscriber Friday at 6 PM PT
• An affiliate program (opening this month) that runs on Rewardful’s rails, not mine

The support layer is where the first real hire lands — probably early 2027, once we’re past 60 active subscribers. Until then, my part-time community lead handles Tier-1 questions and I handle everything else.

This isn’t stubbornness. It’s the LuxAlgo playbook: solo founder, 9-year build, still only 3 people on staff, top vendor on TradingView. If it worked for Sean Mackey, it can work for me.

What we don’t hide

Every subscriber page shows the same headline row: 61.3% win rate, 2.75 profit factor, +47.1R over 62 trades on SOXL 1H with the Default preset + Zone Proximity Filter.

That’s the good row.

The methodology page also shows the weaker rows — Conservative preset with only 4 trades (too small a sample to draw conclusions), presets that hit lower win rates in specific market regimes, out-of-sample tests that held up in some windows and softened in others. If a row was too noisy to publish, we say “too few trades” instead of quietly deleting it.

I’ve been in this industry long enough to know: the platforms that hide the weak rows are the ones you can’t trust when it counts. So we don’t.

Where this goes

• Aug 15 — first cohort of Alva SD group meeting attendees get pilot access
• Sept 26 — Charter Members open. First 30 subscribers become Founding Members. Locked-in pricing forever, plus included in every future bundle we release (Futures, Options, Crypto)
• Late 2026 — Small Group launches into the church network, weekly cohorts of 8-12 traders learning the methodology together
• 2027 — Options + Futures product lines, first real hires, brokerage endgame begins

If you’ve read this far and you’re still curious: join the Trding.ai waitlist. Founder notes and first look when Charter seats open.

And if you already believe in what we’re building — reach out about the affiliate program. 30% recurring commission for 12 months per referred subscriber. Same model LuxAlgo uses. Same math.

More next week.

— Mark

Trding.ai is a software tool, not a registered investment advisor. Nothing on this page is financial advice. Past performance does not guarantee future results. Trade at your own risk.