See what the smart money sees — in plain English
TradersQuant grades every stock with a single composite score — valuation, growth, earnings and momentum, tuned to the macro regime — and puts it right next to the smart-money flows, insider buying and short interest professionals watch. The whole picture, on one page. The cross-signal view that used to live behind a six-figure terminal.
A research desk that grades itself in public
Anyone can claim their model works. We prove it or wear it: every systematic call the platform makes is logged the moment it’s made, marked to market, and graded against the S&P 500 on a public page — hits, misses and monthly scorecards, with nothing edited after the fact. Few AI research platforms make their calls this visible. That accountability is the product.
See our live track recordThe gap we close
The market doesn’t reward information — everyone has the headlines. It rewards seeing the same picture institutions see, earlier. The professionals who consistently outperform are usually positioned long before the story prints, and the footprints of that positioning are public: 13F filings, insider buys, short-interest shifts, options flow.
The problem is they’re scattered across a dozen sources, lagged, and written for analysts. Most retail tools hand you a single lens — analyst ratings here, a fundamentals chart there — and leave you to stitch the rest together by hand. TradersQuant reads all of it together — scanning the S&P 500 every day, and any stock you search on demand — and shows you where the signals line up.
What makes us different
Plenty of tools show data. These are the things we do that the rest don’t.
Cross-signal confluence
The edge isn’t any single data point — it’s where they line up. Our composite score grades each stock on valuation, growth, earnings quality and momentum, tuned to the macro regime — and we put it side by side with the smart-money flows, insider buys and short-interest signals professionals watch. Most tools give you one lens; we give you the whole picture on one page.
Institutional-grade, plain English
We translate the data professionals pay thousands for — SEC filings, options flow, short-interest dynamics — into signals you can read in seconds. Not dumbed down. Not a terminal you need training to operate.
AI research, grounded in live data
Our AI writes a real, numbers-driven investment thesis for any stock — executive summary, bull and bear cases, catalysts, risks and a rating — built from that company’s live fundamentals and scores. Not a generic chatbot answer.
Macro-aware scoring
The same company should not score the same in every market. Our model tilts each score to the current macro regime, so a name is graded in the environment it actually has to perform in — something almost no retail tool does.
Radical transparency
When the data isn’t there, we show “N/A” instead of fabricating a number. When Wall-Street targets aren’t available, we say so and show our own model instead. Everything is framed as research, never as a promise. Trust is the whole point.
One platform, not twelve tabs
Scores, forecasts, an options strategy lab, earnings reaction history, smart-money flows, a market scanner and AI investment theses — in one place. We replace the dozen tools and filings you’d otherwise stitch together by hand.
The data behind every score
We build on primary, public sources — not recycled opinions. When a provider’s number looks wrong, we reconcile it against the company’s own SEC filing before it ever reaches a score.
What we stand for
Research, not advice
We give you the evidence and the model’s read — never a guarantee or a “buy this now.” Every output is built to inform your own judgement, and we say so, clearly, on every page.
Honest about uncertainty
Markets are probabilistic. We show ranges, scenarios and probabilities rather than false precision — and we’d rather show a blank than a made-up number.
Independent
We don’t sell ratings, take payment for coverage, or run a brokerage. The only thing we answer to is whether the analysis is useful to you.
Accessible by design
Institutional-grade signal shouldn’t cost institutional money. Core analysis is a flat, low monthly price with a genuine free trial, and our blog and Weekly Radar are free to everyone.
Who’s behind it
TradersQuant is built and operated by Teodor Karagyozov, an independent founder based in Bulgaria, serving investors across North America, Latin America and the European Union.
Being independent and lean is a feature, not a footnote: there are no sales targets steering the model and no conflicts of interest behind a rating. The platform was engineered to extract institutional-quality signal from primary public data — which is exactly why it can offer that signal at a fraction of the traditional cost.
And the work is done in the open. My name is on every call the platform makes — each one is logged at a real price on a real date and graded against the S&P 500 on the public track record, where the misses stay up next to the hits. If you have a question about how anything is built or scored, email me directly at hello@tradersquant.com — I read and answer every message myself.
See it on any stock
Run the cross-signal view on any name in the market. Free for 7 days — cancel before day 7 and you won’t be charged a cent.
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TradersQuant provides research and educational tools only and does not provide personalised financial advice. Model outputs are estimates, not guarantees. Always do your own research.