TickerSpark·Letters from the founderStart a trial

An Open Letter From the Founder

How AI Stock Analysis
Took My Account From $214,759 to $631,609
In Just 380 Days.

What follows is the proof. The story of how I did it.

And how you can follow the same strategies I'm using to beat virtually every Wall Street "professional," financial institution, and hedge fund on the market.

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The story is below

$416,850.

That's how much money I made trading stocks in less than 400 days.

380, to be exact.

It has been a stellar journey.

But a year earlier, things weren't looking so great.

I had just been laid off by a company I'd been loyal to for over fifteen years.

And after a decade of feeling financially stable and secure, my income had dropped to zero, overnight.

The job market in my field was in the gutter.

My investments had gone virtually nowhere.

And — to top it all off — my wife and I had just learned we had a baby girl on the way.

Needless to say, there was a lot of reason to be worried about finances.

For fifteen years, my job had been to write about how to make money in stocks.

I worked for an investment newsletter company out of Baltimore. I wrote about stocks. I managed trading services. I helped run investment newsletters. I spent fifteen years telling other people how to make money in the markets.

And — irony of ironies — I had never seen these kinds of returns myself.

The numbers above only started happening after I got laid off.

That is not a coincidence.

I had grown tired of the newsletter model. Not tired of investing. Tired of the model.

The newsletter business is not, despite what the marketing copy says, primarily about profitable strategies.

It is not, despite what the marketing copy says, primarily about democratizing information.

It IS wrapped in those things — that's the pitch.

But the actual business, the one I'd watched up close for fifteen years, is selling newsletters. The metrics that matter to the people running the company are subscription metrics.

Renewals. Upsells. New offers.

After fifteen years on the inside, I knew it.

So one day, the owner of the company came to me and asked me to launch yet another newsletter.

I told him I'd do it — but only if I could do it my way. I wasn't going to write a newsletter. I was going to build tools. Real ones. Ones that genuinely helped people invest in stocks instead of just telling them what to buy on a given Tuesday.

The company decided to go another way.

So they laid me off.

And I built the tools anyway.

A wife. A baby on the way. No paycheck. And — because I'd been pitching the company on this exact thing for the previous two years — a pretty clear idea of what to build.

I started building. The tools I'd always wished existed when I was the one paying for stock research, instead of the one writing it. Tools that read the actual filings instead of the press release. Tools that argued against their own picks before they recommended them. Tools that showed me my whole portfolio in context, instead of one ticker at a time. Tools that surfaced trades outside the tech niche I'd been writing about for fifteen years.

I used them on my own brokerage account as they came online — type a ticker, read what came back, ask follow-up questions, decide whether to enter, exit, or hold.

About four hundred days after the layoff, I pulled up my brokerage account, screenshotted the dashboard, and stared at it for about an hour.

This is what it said.

Real brokerage account, Apr 18, 2025 to May 3, 2026. Beginning value $214,759.11. Net contributions this period $0.00. Investment change +$416,850.46. Ending value $631,609.57.
Real brokerage account · Apr 18, 2025 – May 3, 2026 · zero deposits, zero withdrawals in the window

The numbers, no commentary

That is a real screenshot of a real brokerage account. Real money. Real trades. Real return. Not a backtest. Not a paper-trading sim. Not a hypothetical.

Account started at $214,759.11.

Account ended at $631,609.57.

Pure investment gain: +$416,850.46.

In 380 days. Zero new money in. Zero withdrawals out.

A return of +194.10%.

Roughly four times what the company had been paying me, annually, to write about how other people should invest. Made in the year after they laid me off. Using a research stack the company had declined to fund.

For comparison — over the exact same window — the rest of the field looked like this:

  • The S&P 500
    The broadest measure of American corporate equity
    +38.5%
    My account beat it by 5×.
  • The Nasdaq-100
    The names every brokerage in New York covers
    +52.5%
    Beaten by 3.7×.
  • Cathie Wood's ARK Innovation ETF
    Wall Street's most-watched growth fund
    +70.5%
    Beaten by 2.8×.
  • The Dow Jones Industrial Average
    The 30-stock index every news anchor quotes
    +28.5%
    Beaten by ~7×.

And the two assets you are, by reputation, supposed to never outrun:

  • Warren Buffett's Berkshire Hathaway
    The largest financial holding company in the United States
    −8.7%
    Beaten by 203 percentage points.
  • Bitcoin
    The asset class everyone said you'd never beat
    −7.0%
    Beaten by 201 percentage points.

And here is the part Wall Street really doesn't want you to know.

According to S&P Dow Jones' own SPIVA Scorecard, roughly 85% of active fund managers fail to beat the S&P 500 over any 10-year stretch. The S&P is the ceiling for the vast majority of paid, salaried, Bloomberg-terminal-equipped Wall Street professionals.

I beat that ceiling 5× over.

In a little over a year.

From a desk, with six tools.

Your turn

The same six tools. Used on your account, starting today.

What you read above is mine — my account, my screenshot, my 380 days. What follows is yours. The same six tools. The same workflow. On every ticker you research, on your own brokerage, starting the moment you sign in.

In the order you'll use them.

Tool One

The Deep Read

15 pages. Including the bear case Wall Street won't publish.

If there is one true secret to making money in stocks, it is this: you have to actually understand what you own. Not the ticker. Not the chart. The company.

Modern companies are complicated. They sell across multiple product lines, operate under different regulatory regimes, depend on suppliers most analysts have never heard of. The 10-K alone runs over a hundred pages on most large companies, and the footnotes change the answer to every question that matters.

Most retail investors don't read the 10-K. Most paid analysts on the sell side aren't free to publish what they actually find. Most newsletter editors aren't doing the reading at all.

The report tool does the reading for you. Type a ticker, and in about ten minutes you get a fifteen-page report grounded in the actual filings: company overview, product breakdown, market positioning, DCF valuation, peer comparison, letter grades, price targets, and a written bear case the AI is required to produce before it commits to a recommendation.

Every fact is sourced from primary documents — the 10-K, the earnings transcript, the insider filings, the analyst consensus — not from a Reddit thread, not from a press-release summary.

This is where you start every position you take from here on. The first thing you check before you put real money on a ticker.

Tool Two

The Research Desk

The AI you're allowed to argue with.

A fifteen-page report is a starting point. It isn't the end of the work.

Real research happens in the follow-up questions. What's the read on the new product launch they mentioned on the latest earnings call? Why did insiders sell two months ago? How does this margin profile compare to three named peers? Is the new CFO the one who ran the same playbook at her last company?

Those answers aren't in any one document. They're in the earnings transcript, the Form 4s, the analyst rating change from last week, the peer 10-K. Reading all of them by hand doesn't scale.

The chat tool has every SEC filing, every earnings call transcript, every insider Form 4, and the analyst data already in context. Ask about insider activity and it pulls the Form 4s. Ask about the last call and it cites the transcript. Ask how the margins stack against three peers and it answers from the actual filings — not from a Reddit comment summary, not from a generic AI's training-data sludge.

It is the part of the workflow where you dig in, vet ideas, and build conviction. Or — more honestly — talk yourself out of a thesis you'd otherwise have bought.

Tool Three

The Technician

Asks what you're trying to do — before it tells you what the chart says.

There is, on every chart, a moment at which an entry is offered — and a moment at which the offer is withdrawn. The two moments are sometimes minutes apart. The investor who confuses them — and most retail investors do — pays for the confusion in dollars.

Am I buying into a setup that's offering a clean entry, or am I chasing a move that's already gone? Is the chart telling me to wait, or to act?

RSI, MACD, Bollinger Bands, moving averages, volume — they're learned skills, and most retail investors learning them on YouTube end up confident about the parts that don't matter and lost on the parts that do.

The chart tool answers the timing question in plain English. Type a ticker, get a real candlestick chart and a one-paragraph read on whether the chart is offering an entry, flashing an exit, or just chopping sideways. All the major indicators are live and tied back into the read. Intent-based: the answer changes depending on whether you're trying to enter, exit, or hold.

You no longer have to guess what the squiggly lines mean.

Tool Four

The Portfolio Audit

You think you own ten stocks. You probably own three trades, repeated.

You own ten stocks. The tools above analyze them one at a time. None of them tell you whether the ten, all together, are stacked into the same risk.

A portfolio is not a list of stocks. It is a single position with weighted exposure across sectors, market caps, themes, and risk factors. Two stocks you love can do the same thing — and a portfolio that owns both is more concentrated than any spreadsheet will show you.

Most retail investors don't track any of this. Or they track it in a spreadsheet that's six months out of date.

The portfolio tool reads your live holdings directly from your brokerage — Schwab, Fidelity, Robinhood, and over a hundred others — and gives you one coherent picture of what you actually own. Sector exposure. Concentration risk. Per-position letter grades using the same methodology the report tool uses. Analyst price targets across every name in your book. Portfolio-level metrics no individual brokerage's screen will give you.

It is the institutional view of your own account.

Tool Five

The Pocket Quant

Five new trade ideas a week. On a public ledger anyone can audit.

The hardest stocks to buy are the ones you've never heard of.

Every retail investor has a niche. Tech, biotech, dividend stocks, oil and gas. Inside the niche, they're informed. Outside it, they're blind. That's fine if the next great trade is in your niche. It's a problem if it isn't.

The Pocket Quant is the cure for that blind spot. It is a public model portfolio that runs the same research stack on hard-coded rules the AI cannot override — and it opens a new position every trading day. Entries, stops, exits, all logged on a public ledger by the open. Five new ideas a week, sourced from the same 3,000-ticker universe I could never scan on my own.

Most days, you wouldn't have looked at the stock the Pocket Quant just bought. About once a week, the trade is a ticker you would never have considered, full stop. When that happens, you generate a research report on it (Tool One) before you decide what to do.

Read the report. Sometimes you'll disagree. Sometimes you'll copy the trade. Either way, the Pocket Quant is the part of the workflow that keeps you from only seeing the stocks you already know — and starts feeding fresh, audit-able trade ideas onto your screen every single trading day.

(It is also, conveniently, the most public proof source on the platform — but more on that further down.)

Tool Six

The Daily Print

The ten stocks that mattered today. The other 2,990, gone.

The market generates more information in a single trading day than any one investor can read in a week.

You cannot follow it all. You also cannot ignore it. The companies you own move on news you didn't see. The Fed says something on a Tuesday and your portfolio re-prices on Wednesday. The stocks setting up next month's leadership are usually visible on the morning's tape — if you know where to look.

The feed tool is where to look. It watches the top 3,000 US tickers every trading day, applies tier-specific move-percent and volume thresholds tuned by market cap, and hands you a curated list of the day's actual institutional movers — pre-market, intra-day, after-hours.

It also handles the macro layer: a five-minute daily summary of the economic data, Fed activity, and rate moves you need to know without scrolling Twitter for three hours.

Most retail investors have a niche — tech, biotech, dividend stocks, oil and gas. The Feed is how you see the rest of the field, every morning, before the bell. The stocks setting up next month's leadership while you were focused elsewhere. The macro release that just re-priced your book overnight. The earnings flash from a ticker you don't own but should.

Before we move on, here's what the six tools above are not.

They are not a real-time alert service — there is no SMS at 4:01 PM telling you to buy ABC. They are not a managed account; they will not protect you from a market that decides on a Thursday morning to drop 6%. They will not place trades for you. They will not work on most international tickers that don't trade as ADRs.

They are research tools. The decisions, and the discipline behind them, are still yours.

That is the entire research stack. Six tools. No paid newsletters. No paid screener. No paid guru. Just the six tools and a brokerage account.

Those six tools, used together on one brokerage account, are what produced the +$416,850 in 380 days you saw at the top of this letter. They are the same six tools that go on your screen the moment you sign in — on every ticker you own, on every ticker you're considering, every morning before the bell.

Start your free trial now ↓

And here is the thing.

Those six tools aren't bespoke.

They aren't a "system" I keep to myself.

They aren't being sold for $5,000 in a "masterclass."

They are TickerSpark.

Every single one of them is on your screen the moment you start a trial. The same Deep Read. The same Research Desk. The same Technician. The same Portfolio Audit. The same Pocket Quant. The same Daily Print.

The platform you start using today is the same platform I used to take a brokerage account from $214,759 to $631,609 in 380 days. Same six tools. Same workflow. Same screen.

You don't have to build anything.

You don't have to have any subscription experience.

You have to type a ticker, generate a report, and decide what to do with the answer.

The trial offer is one click away. Take the platform for a lap →

Second exhibit · For the skeptics

The second proof source: a public ledger of every trade, every stop, every loss.

The Pocket Quant exists in its current form precisely because one account, on its own, isn't enough proof. The morning the screenshot first crossed half a million dollars, I asked the same question every reader will: how much of this was luck? The Pocket Quant is what answers it.

You met the Pocket Quant above as Tool Five — the AI portfolio I check every morning for ideas I'd miss on my own. But it has a second job: it is the most public proof source on the platform.

Every entry, every stop, every exit. Dated, written, timestamped on a public ledger. Including every trade that hit the system's −30% hard floor and got auto-liquidated the next morning.

Nothing has been removed. Nothing has been re-written. The full ledger is on the platform. You can audit it before you ever start a trial.

Here, plainly, are some of the open and closed positions on the public ledger right now:

Public ledger · Recent positions

Auditable

MRVLentered $89.57 → $157.32
+75.6%
MRVL · 2ndentered $99.05
+58.8%
AMKRentered $47.03
+53.6%
SNXentered $147.60
+51.3%
GLWclosed $147.49
+34.4%
WDFCclosed $247.89
+30.5%
EQNRclosed $40.39
+25.9%
SLBclosed $49.84
+14.2%

… plus more, on the ledger. Every entry, every stop, every exit dated and timestamped. Including the auto-liquidations.

Pocket Quant vs S&P 500

Jan 5 – Apr 24 · 75+ trades · 4% per-position allocation per system rules

Past performance is not indicative of future results. Curve reconstructs the AI's documented trade history at a standardized 4% per-trade allocation; includes realized and unrealized P&L on open positions at each daily close.

Two independent proof sources. Both running the same research stack. Both audit-able. Pick whichever one you find more convincing — or neither.

All of which leaves one question.

What are you going to do about it?

$214,759.11 → $631,609.57. +$416,850.46 in 380 days, zero new money.

Two drawdowns of more than 18% along the way. The largest position was up 71% at one point, back to break-even at another. The +$416,850.46 is what was left at the end. That part isn't fun. The six tools are what kept the workflow steady when the chart wasn't.

The numbers happened because those 380 days were also the days the founder spent building those six tools. Same six tools, on your account, the moment you sign in.

What you get, on day one.

Everything below is on your account the moment you confirm the trial. The first time, in the years you've been investing, that the entire research workflow is yours — not the editor's, not the analyst's, not the guru's.

  • The Deep Read. Type any US ticker. Get a 15-page institutional-grade report in about ten minutes. Company overview, product breakdown, market positioning, DCF valuation, peer comparison, letter grades, price targets — and a mandatory bear case sourced from the actual filing. Unlimited.

  • The Research Desk. Ask any question about any stock. Answers come from the actual SEC filings, earnings transcripts, Form 4s, and analyst data — not from Reddit, not from generic AI training data.

  • The Technician. A plain-English read on any chart, framed around the trade you're trying to make. Tells you whether the setup is offering a clean entry, flashing an exit, or chopping sideways.

  • The Portfolio Audit. Direct connection to your brokerage — Schwab, Fidelity, Robinhood, and over a hundred others. Sector exposure, concentration risk, per-position grades, analyst price targets across every name in your book.

  • The Pocket Quant. A public AI portfolio that opens a new position every trading day. Five new ideas a week, drawn from the same 3,000-ticker universe you can't scan on your own. Every entry, stop, and exit on a public ledger anyone can audit. Including the auto-liquidations.

  • The Daily Print. The ten stocks that mattered today — pre-market, intra-day, after-hours. Plus a five-minute macro read on the economic data, Fed activity, and rate moves. On your screen by 6:30 AM Eastern.

All of which begs an obvious question.

What you don't get.

  • No paid newsletter inside the trial.
  • No upsell to a $1,997 "platinum tier" three days in.
  • No "URGENT" alerts timed against your renewal cohort.
  • No editor's pick of the week, on a renewal cycle.

The six tools above are the entire offer. The company that laid me off thought a research stack like this would obsolete the newsletter model. I think they were right. You're about to find out.

What it costs.

The newsletter I used to renew, the year before I built this, cost five to eight times that — and gave me one editor's pick. This gives you the platform that produces the picks.

Which leaves the question of risk.

What you risk (nothing).

Nothing for the first 7 days. The trial is 7 days, free. No charge until day 7. The card is not charged until day 7.

After the trial, the subscription auto-renews annually. We email seven days before each renewal. Cancel any renewal in two clicks (account settings → cancel; no phone call required) and the next charge does not happen.

30-day satisfaction guarantee on the first paid term. If you decide TickerSpark isn't worth keeping after the trial converts, we refund the year. You keep every report you generated.

Which leaves only the question of what to do next.

What happens next.

One click below opens the order page. You enter your email and card details, confirm, sign in, and type a ticker into The Deep Read. A 15-page report on that ticker is on your screen about ten minutes after that. The card is not charged until day 7.

This is the platform the company that signed my paychecks for fifteen years told me they wouldn't fund. They were wrong about the math. You're about to use it on your account.

Get all six tools, free for 7 daysBegin · free for 7 days

P.S. —

When you sign in, the tool most new users skip is the Portfolio Audit. They go straight to generating reports on stocks they're considering. Don't. Connect your brokerage first. Two clicks, sixty seconds. The Audit will tell you what you actually own — and most users find a concentration risk they didn't know they had inside the first ten minutes. Begin →

— Jason, the founder

© 2026 Maxwell Cyberlogic LLC. All rights reserved.

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