About QuantLogix

AI signals.
Quantitative rigor.
Built for investors.

Built for investors who want evidence, not hype. QuantLogix is an AI-native investment research platform that pairs quantitative models with multi-agent LLM reasoning across both sides of the market — public equities, ETFs, and options, and the private market of pre-IPO companies and the investors backing them — designed from day one to help make better decisions with methodology you can actually see.

Mission

Democratize institutional-grade alpha.

Pair multi-agent AI signal generation with transparent, methodology-first research across public and private markets, so retail investors, RIAs, and family offices can access the kind of quantitative decision-support and pre-IPO intelligence once reserved for institutions — at subscription prices, not institutional ones.

Vision — 2030

The go-to AI-native decision platform.

Where serious investors come for multi-timeframe AI signals, quantitative public-market research, pre-IPO and private-company intelligence, and strategy-building — one platform spanning both markets, backed by methodology that's open to scrutiny and the discipline real investors demand.

Built for investors,
by an investor.

QuantLogix started the way most real products do — out of a problem its own founder couldn't stop running into.
i.
The problem

Eight tabs, three spreadsheets, zero clarity.

As an investor, the founder was doing what every serious investor does: stitching together research, portfolio tracking, risk management, and strategy notes across a dozen tools that never spoke to each other. Screeners on one site. Charts on another. News feeds in a third. Position sizing on a spreadsheet. And every decision still came down to guesswork at the end.

ii.
The realization

The gap wasn't tools. It was trust.

The market is crowded with platforms that promise insight. What it lacks is one an investor can actually rely on — with methodology you can inspect, assumptions that are stated plainly, and a point of view clear enough to act on. The realization: investors don't need another dashboard. They need a platform built by someone who has sat on their side of the screen.

iii.
The solution

Quantitative rigor, powered by AI.

QuantLogix was built to be the platform the founder wished existed: quantitative and machine-learning principles that have moved institutional markets for decades, combined with modern LLM reasoning, delivered with the methodological transparency investors deserve. One place for research, signals, and strategy — built by an investor, for investors who want to make better decisions on evidence, not hype.

The tool we wanted didn't exist. So we're building it — for every investor who wanted the same thing.

A market built on noise.
We chose methodology.

The signal industry has an evidence problem. Everyone claims alpha. Almost nothing about how they got there is visible — and investors are rightly more skeptical of signal providers than at any point in the last decade.

QuantLogix was built to answer that skepticism with structure, not rhetoric. Our focus from day one has been methodology over marketing: documented signal generation processes, disclosed model architecture, clear framing of what our signals are and aren't, and careful compliance with the publisher standards that govern this work. We're in the proof-of-concept phase of our platform, and we're building the kind of rigor that would stand up to scrutiny if and when we get to third-party review.

"Transparency is not a feature. It is the operating discipline."

The rest of the business — the three-tier pricing, the Telegram, Discord, and web dashboard delivery, the multi-agent LLM routing layer, the universe of 5,000+ stocks and ETFs we scan across every sector, and the private-market desk that tracks pre-IPO companies and the investors funding them — is downstream of that single commitment. We chose a business where the methodology has to be defensible, because nothing less serves investors well, in public markets or private ones.

We don’t ask you to trust the signals.
We prove them.

Every signal the engine fires is logged the instant it’s issued and graded against live market prices — immutable, no hindsight, no cherry-picking. The whole record is then run through the same four-stage statistical validation a quant fund uses on its own strategies. These numbers update automatically from the live record.

Avg return / signal
direction-adjusted
Statistical edge
significance grade
Resolved signals
closed & graded
Universe
S&P 500
liquid, large-cap
Stage 1 · Calibration

Does the score mean what it claims?

Stage 2 · Significance

Is the edge real, or could it be luck?

Stage 3 · Ranking power

Does a higher score pick more winners?

Stage 4 · Robustness

Will the edge last out of sample?

Past performance does not guarantee future results. This is a signal track record graded against live market prices — not real-money fills, and it excludes slippage, commissions, and your own execution. Where a stage doesn’t yet have enough resolved signals it shows “seasoning” instead of a flattering number.

5,000+
US stocks & ETFs
continuously scanned
23
Proprietary quant
compute scripts
3
Signal horizons:
Day · Swing · Long
2026
Proof-of-concept
launching now

Principles we won't negotiate.

/ 01

Methodology before marketing

Every signal comes from a documented process: universe scan, a 5-factor quantitative composite (Technical, Momentum, Fundamental, Options, Microstructure), a 15% blend from in-house ML (LSTM, reinforcement learning, pattern memory), and a macro overlay from FRED indicators — plus explicit sizing and risk parameters. We publish how we work so investors can scrutinize it, not just what we say about it.

/ 02

Both markets, signal-grade filtering

Public markets: every US stock and ETF, every sector, continuously scanned — then filtered through our quant models and multi-agent AI so subscribers see only the setups that pass the bar. Private markets: a curated desk of pre-IPO companies and the VC/PE investors backing them, with AI-built research briefs. Breadth for opportunity, discipline for quality — on both sides of the market.

/ 03

Publisher, not adviser

We operate under the Lowe v. SEC publisher's exemption: signals delivered uniformly to every subscriber at each tier, on a regular schedule. Not personalized advice. Structural compliance, not legal acrobatics. This applies equally to our private-market work — the pre-IPO and private-company research is informational and educational only, never personalized advice, and never an offer or solicitation to buy or sell any security, public or private. Private-market investing is illiquid, high-risk, and often limited to accredited investors.

/ 04

Signal performance, on the record

Every published signal is logged in the platform's signal tracker — entry, horizon, outcome, rolling hit rate. Subscribers see how signals actually played out, not just the ones that looked good in hindsight.

/ 05

Boring infrastructure, exciting intelligence

Production-grade data, payment, and compute plumbing chosen for reliability, not novelty — so we can spend our creative energy where it matters: model quality and signal clarity.

/ 06

Build slowly, compound forever

Bootstrapped. Solo-founder through 2028. No outside capital. The moat is trust that compounds — and trust, unlike venture capital, cannot be accelerated by writing a bigger check.

The Founder.

QL
5000 Birch Street
West Tower, Suite 3000
Newport Beach, CA 92660
Phone #: 1-949-228-9545

The Founder

Founder & CEO · Building in stealth

QuantLogix was founded in 2026 in Newport Beach, California, by a single operator with one conviction: the retail signal market deserves better plumbing and better proof.

The work starts at the intersection of quantitative research and applied AI — building multi-agent systems that route reasoning across tiered language models, orchestrating 23 proprietary compute scripts across the full US equity and ETF universe, and shipping signals into the hands of subscribers through a Telegram bot, a Discord community, and a web dashboard.

The operating principle is simple: every claim the platform makes should be defensible by the methodology behind it. Everything else — the product roadmap, the compliance posture, the hiring plan — flows from that single rule. QuantLogix is in the proof-of-concept phase, and the discipline is being built from the ground up so the product stands on something real by the time it reaches scale.

See how we actually work.

© 2026 QuantLogix. All Rights Reserved.

QuantLogix is not a registered investment advisor, broker-dealer, or financial planner. All content, signals, scores, and analysis provided on this platform — including public-market signals and pre-IPO / private-company research — are for informational and educational purposes only and do not constitute financial advice, investment recommendations, or solicitations to buy or sell any security, whether public or private. Past performance does not guarantee future results. Trading stocks, ETFs, options, and other financial instruments involves substantial risk of loss and is not suitable for every investor. Private-market and pre-IPO investments are illiquid, carry a high risk of total loss, and are typically available only to accredited investors. You should consult with a qualified financial advisor before making any investment decisions. By using this platform, you acknowledge that you are solely responsible for your own investment decisions and that QuantLogix bears no liability for any losses incurred.

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