Quantral

Mayako LTD · Varna, Bulgaria

Investment ideas,
scored.

Quantral reads finance X, Reddit and Substack, scores every company 0 to 100, and grades every voice on whether their calls actually played out.

quantral.com · hello@quantral.com

August 2026

02

The problem

The feed has no memory.

Social is the fastest place to find out what is moving, and the worst place to find out who was right.

01

Everyone claims they called it

The miss gets quietly deleted; the win gets screenshotted for a year. Confidence reads as credibility.

02

Volume gets mistaken for conviction

Four hundred anonymous accounts piling in looks identical to three consistently right voices flagging it this morning.

03

Doing it properly is a part time job

Following enough accounts across enough platforms costs a morning, every morning. Most quit before it pays.

TRACK RECORD ?

Loading up. Doubles by end of month. 🚀

TRACK RECORD ?

Pounding the table for weeks. Easiest trade of the year.

THE CALL THAT MISSED

This post was deleted by its author.

Equal confidence, no record attached. The feed cannot tell you which one to believe.

03

What Quantral is

One list, scored, with the receipts attached.

Quantral is an investment ideas app based on social sentiment. It reads finance X, Reddit and Substack in real time, scores how strong and credible the activity around each company is, and grades every voice on its actual record.

Every company, 0 to 100

A single score for how strong and how credible the current conversation around a company is, updated continuously as posts land.

92

Every voice, graded

Calls made, percent correct, and the last twenty calls at a glance. The consistently right get weighted up. The noise gets quietly ignored.

LAST 20 GRADED CALLS

Every score, explained

A one line reason, the price and signal trends behind it, and a way to read the conversation the score came from.

POSITIVENEGATIVECHATTERNOISE

04

How it works

Three steps, running continuously.

01

Read

Finance X, Reddit and Substack in real time: thousands of posts and articles, the moment they land. Roughly 680 new scored signals a day.

02

Score

Every company gets a 0 to 100 score. Every author gets graded on whether their past calls played out against the actual price move.

03

Act

One list of the strongest signals, each with the reason behind it. Minutes, instead of a morning of scrolling.

READ

Adding more here. AI capex is not slowing down.

↓

90

Strength of the activity, weighted by the record of who is talking.

SCORE

The loop compounds: every call recorded today becomes training weight for the score six months from now.

05

The proof

We follow 28,054 voices. We trust 29.

Every voice earns its standing the same way: real calls, graded against the price move that followed. A badge takes 20 graded calls at better than a coin flip; Elite takes 50 at 58 percent or higher.

Voices trackedcurated finance accounts

28,054100%

With graded callsrecord checked by us

7,36826%

BadgedEmerging or better

290.10%

Elite50+ calls, 58%+ correct

40.01%

1 in 967tracked voices holds a badge

The funnel is selective, not just young: of the 94 voices with enough graded calls to qualify, 65 fail the accuracy bar. And the bar means something. Seven day calls from voices above the credibility line landed 60.5% of the time, against 31.4% from those below it.

Graded the way the app grades: only subject mentions carrying a real call, repeated conviction collapsed into one position per company, direction and window, and a call counts as correct only if the price moved the called direction by more than 2% over the window. Production database, 11 August 2026.

06

The data asset

What is in the system today.

102,082signals recorded90,309 of them in 2026

132,133outcomes graded against the price that followedacross 7, 30, 90 and 180 day windows

31,430authors in the system28,054 live human voices tracked

5,283companies scored818 active in the last 30 days

~680new signals a daytrailing 30 day average

64 / 35 / 0.4source mix, X to Reddit to Substackpercent of signals, last 30 days

Figures read from the production database on 11 August 2026. Counts describe the curated set of finance authors Quantral tracks, not the whole of any platform.

07

Why it compounds

A track record cannot be bought, only accumulated.

A competitor can copy the interface in a quarter. They cannot copy the answer to "was this person right in March", because grading a call requires having recorded it before the price moved.

01

Time locked

The 2026 record can only be built by someone who was already scoring in 2026. A new entrant starts at zero graded calls and waits.

02

Self reinforcing

More graded calls means sharper weighting, which means a better score, which is the product. The loop tightens on its own.

03

Distribution built in

The ranked voices have audiences of their own, and a public leaderboard gives the ones who score well a reason to point at it.

08

The product

Live on iOS, Android and the web.

Quantral top signals list showing scored companies with a 0 to 100 score and a one line reason for each.

Top signalsThe strongest activity right now, scored, each with a reason you can read in seconds.

Quantral author track record showing calls made, percent correct, and the last twenty graded calls as red and green bars.

Voice track recordCalls made, percent correct, and the last twenty calls graded red or green.

Quantral company detail for a stock, showing its score, a why this score explanation, and price and signal trends.

Why this scoreThe reasoning, plus price and signal trends over time.

Quantral mentions view with a sentiment bar chart split into positive, negative, chatter and noise, and per source scores.

The conversationSentiment split by positive, negative, chatter and noise, with per source strength.

Quantral monthly recap tab for Meta Platforms: plain-English summaries of what the crowd discussed each month, with post counts and sources.

Monthly recapsA month-by-month, plain-English history of every company's conversation.

09

Who it is for

People who already do this by hand.

The user is not new to markets. They are already reading finance X and Reddit for ideas, already keeping a private mental list of who is worth trusting, and already losing hours to it. Quantral replaces the manual version of a job they have chosen to do anyway.

What the subscription math looks like

1,000 subscribers$120K

10,000 subscribers$1.2M

100,000 subscribers$12.0M

Annual recurring revenue at the annual plan price of $119.99. Monthly subscribers are worth $179.88 over the same year, so a real mix sits above these lines. Published estimates for the retail investing app market range from roughly $28B to $77B for 2026 depending on which research firm you ask, which is why the bottom up number is the one shown here.

10

Competitive landscape

Plenty read the crowd. Almost nobody grades it.

Graded · professional voices

TipRanks Scores Wall Street analysts on their record. The right idea, aimed at the voices most retail investors never read.

Graded · social voices

Quantral Grades the people retail actually follows, against the price move that followed, and weights the score accordingly.

Ungraded · professional voices

Motley Fool

Seeking Alpha Analysis worth reading, published under a masthead. The masthead is the credential, and it never gets marked against the outcome.

Ungraded · social voices

Stocktwits

ApeWisdom Raw mood and raw mention counts, free and fast. A count treats every account as equally worth counting.

Left to right: whose voices get read. Top to bottom: whether anyone checks the record afterwards. Fundamentals tools such as Simply Wall St sit outside this grid entirely, since they read the balance sheet rather than the room. The upper right is where Quantral sits, and it is not crowded.

11

Business model

Consumer subscription, one tier.

The value is continuous, so the price is too. Every subscription opens with a seven day free trial, and cancels in a tap.

Monthly $14.99 / month Seven day free trial, cancel anytime.

Annual $119.99 / year Works out to $9.99 a month, a saving of 33%.

Three platforms, one subscription

iOS App Store, Google Play since July 2026, and the browser at app.quantral.com.

Marginal cost falls with scale

Ingestion and scoring run once for everyone. The hundred thousandth subscriber reads the same computed score as the first.

No advice, no conflict

Quantral takes no order flow and sells no positions. It surfaces public signal and never tells anyone what to buy.

12

Where we are

Built and shipped. The phase now is distribution.

Shipped

Live on the iOS App Store, on Google Play since July 2026, and on the web. Scoring, grading, recaps and notifications all running in production.

In flight

Paid search live in the US, a public leaderboard of the best graded voices, and a growing library of search led content.

Commercial metrics are shared in conversation, not in the deck.

The Quantral web app on desktop: the scored top signals list.

Quantral on iPhone: the top signals list.

One product, everywhere: the web app and the native app share the same scores, live today.

13

What is next

Turn the data into its own distribution.

Quantral generates something almost no consumer fintech product has: a public, weekly answer to who was right. That is a growth engine, not just a product.

01

The leaderboard flywheel. Publish the ranked voices, give each a shareable card, and let the people being ranked do the distributing.

02

Referral loop. Give a month, get a month, reusing the invite infrastructure already built for the beta.

03

Search and answer engines. Data fed pages for the questions people type, refreshed by the app's own pipeline.

04

Accountability as a press angle. Scoring whether finance social is right is a story an editor will run, and nobody else can write it.

Quantral's Q2 2026 most accurate voices leaderboard card: the top graded voices ranked by verified hit rate.

The Q2 2026 edition of the public leaderboard.

14

Who is building it

Maya Koeva, Co-Founder.

A product designer before Quantral, most recently building identity verification tools, and not a markets person by background.

The outsider's version of the problem

Quantral exists because the obvious first question when you arrive at finance social is "why would I believe any of you", and nothing on the market answered it. The grading loop is that question turned into a product.

Shipped end to end

Ingestion, scoring, grading, three client platforms, the marketing site and the content pipeline are all live and running. Mayako LTD is an independent team based in Varna, Bulgaria.