Three premises. One conclusion.

The same AI
they use
on you.

i.
Knowledge is power.

The people who win are the people who know things others don't. Information asymmetry built every fortune ever made.

ii.
AI is intelligence.

For the first time, you can rent a brain the size of a research desk for the cost of a coffee. The question is no longer if — only who points it at what.

iii.
Environment is destiny.

We become what surrounds us. Give someone better tools and you change what they're capable of. The difference between winning and losing has never been talent — it's always been resources.

Now in your hands.
Start Trading — Free → Company
70%
of U.S. stock trades are made by algorithms, not people
89%
of all U.S. stocks owned by the wealthiest 10%
$20
per month · first month free · cancel any time
The ecosystem

Everything GeekedAI builds.

One platform family. Every tool runs on your account, with your keys — nothing leaves your machine.

GeekTrades
GeekTrades
Web trading platform

Multi-strategy AI engine that trades your Alpaca account 24/7. Risk dial, live positions, paper mode, leaderboard, and social sync — all in your browser.

$20 / mo · first month free Launch
QuantTrades
QuantTrades
Bot marketplace · pay once, own forever

Browse strategies built by independent developers. Pay once, own the source, run on your own machine. Sellers keep 80% — the marketplace takes a flat 20%.

One-time purchase · no subscription Browse
LAUNCHING JUN 25
The Edge
The Edge
Build your own trading models

Interactive lessons on the exact math behind the models — linear algebra, statistics, signal processing, and backtesting. Build a strategy from scratch. No fluff.

  • ✓ Linear algebra & probability — the actual math, no shortcuts
  • ✓ Quant strategy design: mean-reversion, momentum, factor models
  • ✓ Code your model, backtest it, deploy to your own account
  • ✓ Upload to QuantTrades marketplace and earn 80% of revenue
$5 / week · Jun 25, 2026 Reserve
New · Launching June 25, 2026

Learn to build the
models we run.

The exact math behind the models — linear algebra, probability, signal processing, backtesting. Then a walk-through: build, test, and run your own strategy on your own account.

$5
per week
cancel any time · no commitment
Explore everything
GeekedAI
What you'll learn
  • 1
    Linear algebra & probability
    The actual math — vectors, matrices, distributions, expectations. Built for someone who's done none of this before.
  • 2
    Quant strategy design
    Mean-reversion, momentum, factor models, market-making. How each one actually makes money — and how it fails.
  • 3
    Code, backtest, deploy
    Build a working strategy in Python. Backtest against years of market data. Run it on your account when you're ready.
  • 4
    Sell on QuantTrades
    List your model on the marketplace, keep 80% of every sale. Build a side business while you learn.
How it works

Trading, automated. In under an hour.

Connect your brokerage account, paste your API key, hit start. The AI handles the when, what, and how much. Paper-trading mode is built in — try the whole thing risk-free before you put a dollar in.

What trading is

Buy a stock for one price. Sell it later for a higher one. That's the whole game.

The hard part isn't the idea — it's when, what, and how much. Our AI handles all three, around the clock, without ever getting tired or emotional.

Try it with $0

Paper trading is built in. You get $100,000 in simulated money on the real market, in real time — no card, no risk.

Run it for a week. If you like what the AI does for you, plug in your real account. If not, you're out nothing but a few minutes.

Going live

Real money, in less time than your morning routine.

When paper trading sells you on the system, bringing real money in is straightforward. Sign up, get approved, fund, connect — most people are up and running in under an hour. Faster than any traditional brokerage.

  1. 1

    Open a brokerage account

    We work with commission-free brokers. No fees, no minimums, no upsells.

    ~ 5 min
  2. 2

    Get verified

    Most users approved in minutes — not days like a traditional bank or exchange.

    ~ 15 min
  3. 3

    Fund any amount

    Start with whatever you're comfortable with. Instant transfer for most banks.

    ~ 10 min
  4. 4

    Paste your API key

    One field. The AI takes over. You're on the desk.

    ~ 2 min
End-to-end: about 30 minutes. Most of that is waiting on verification. Crypto exchanges take days. Old-school brokers take a week.
Financial literacy

$100 a week. The math nobody taught you in school.

A hundred bucks a week is one shift of tips, one less DoorDash a week, or two subscriptions you forgot you're paying for. Pull it out of your paycheck before you see it. Set it. Forget it. Let it grow.

After
You put in
It becomes
3 months
$1,300
$1,310
1 year
$5,200
$5,450
5 years
$26,000
$33,700
10 years
$52,000
$89,300
20 years
$104,000
$332,000
30 years
$156,000
~$992,000

Math: ~10% annual return — roughly the historical S&P 500 average since 1957. Past performance ≠ future returns; the principle is the principle.

This is how the wealthy stay wealthy. Not a hot tip. Not insider info. Just start early, automate it, let time do the lifting. Their kids learn this at 12. You're learning it now. Same math, same market — different starting line. Financial literacy isn't a chapter they forgot to teach. It's a chapter they don't print.
You own the dial

One slider. You're always in charge.

Slide left for quiet trades. Slide right for bigger ones. That's it.

Cautious

Plays it safe. Small moves only.

Moderate

Balanced. Where most people start.

Aggressive

Bigger trades, taken more often.

Danger

Big swings. Big wins. Big losses.

Extreme

Maximum mode. Don't start here.

Built-in safety net. If a day really goes south, trading auto-stops. The AI doesn't get to keep digging — and neither do you.
The algorithm

Not built in a garage. Built on 30+ years of peer-reviewed quantitative finance.

What's inside GeekTrades isn't a guess. Every signal is grounded in published research and the same techniques the most successful quant funds in history — Renaissance, Two Sigma, AQR, D.E. Shaw — have refined for decades. We didn't invent the math. We made it usable for you.

Momentum
Jegadeesh & Titman, Journal of Finance, 1993

The original peer-reviewed proof that stocks outperforming over 3–12 months tend to keep outperforming. Replicated across decades and asset classes. The foundation of AQR's $100B+ in factor strategies.

Mean Reversion
Bollinger (1980s) · refined by Renaissance & Citadel

When a stock stretches too far from its average, it tends to snap back. Documented edge on the S&P 500 since the 1990s and a core piece of how the world's most profitable hedge fund (Renaissance's Medallion) reportedly compounded ~66% annual gross returns.

Trend Following
Dunn, Mulvaney, Man AHL — 40+ year track records

Riding multi-week trends with disciplined exits. The exact playbook managed-futures funds have used to survive every major crash since 1980 — including 2008, when most funds blew up and trend funds posted their best year on record.

RSI Divergence
Welles Wilder, New Concepts in Technical Trading, 1978

One of the most studied momentum oscillators in finance. Used as a confirmation signal — never alone — so the model only fires when multiple independent strategies agree.

Then the system gets smarter. Every closed trade is attributed back to the strategies that voted on it. Winners get more weight; losers get less. It's the same kind of adaptive Bayesian weighting used by modern quant desks — running quietly on your account, on your trades, learning what works for you.
The data layer

Your data stays yours.

What they do
Profile you across every app you've ever signed into
When Cambridge Analytica harvested 87 million Facebook profiles in 2018, they did it through one quiz app abusing OAuth permissions. Meta's Pixel still tracks browsing on millions of sites — even for people who don't have a Facebook account. The "Sign in with X" button isn't a convenience. It's an authorization to follow you home.
What they do
Lose your data, then make you pay for "protection"
Equifax leaked 147M Americans' SSNs in 2017 and was fined $700M — about $4.76 per person. 23andMe exposed 6.9M users' DNA in 2024. National Public Data dumped 2.9 billion records the same year. Every one of those companies' core product is collecting your data. They will fail to protect it, and they will sell you the cleanup.
What they do
Make their dashboards a paywall, your data the product
A Bloomberg Terminal costs $2,500/month per seat. Refinitiv Eikon, FactSet — same story. Meanwhile every "free" retail brokerage sells your order flow to high-frequency trading firms (Robinhood made $331M from PFOF in a single quarter). The pros pay for clean data and you pay by being the data.

Here's what we do instead.

No "Sign in with" buttons. No analytics scripts. No tracking pixels. No order-flow deals. The boring, expensive, slow-but-honest stack — because this is your money, not your engagement metric.

Passwords hashed with bcrypt cost 12
Per-password salt + slow KDF. Even with a stolen database, brute-forcing one password takes years. We never store anything you typed — only the hash. Legacy SHA-256 accounts auto-upgrade to bcrypt on next login.
Your broker keys encrypted with AES-128 (Fernet)
The Alpaca keys that let your AI trade your money are encrypted at rest with a master key that lives on the server, never the database. A leaked database is useless — no keys come out without the master.
Optional TOTP 2FA (Google Auth, Authy, 1Password)
Standard time-based one-time codes. We use pyotp — the same library banks and crypto exchanges use. We don't text codes to your phone (SIM-swap attacks are how most accounts actually get stolen).
Email verification, real SMTP over TLS
You verify the email you sign up with by clicking a one-time link we send from our own mail server. No third-party magic-link providers (Auth0, Clerk, Supabase Auth) — those add another company that has to stay un-breached for you to stay safe.
No "Sign in with Google / Facebook / Apple"
Adding those buttons would let every login event leak to a data broker. You make a username and a password here, and that's it. Nobody else gets to watch.
Zero trackers, zero analytics, zero ad pixels
Open the page source. There's no Google Analytics, no Meta Pixel, no Mixpanel, no Segment, no Hotjar. Your activity is between your browser and our server. Nothing else.
You can audit this. The whole platform — including this page — is one Python file plus three HTML files. Open the network tab. Open the source. Nothing's hidden. That's the difference.
The network

Wall Street talks to itself. Now you can too.

Bloomberg terminals start at $2 500/month. Hedge funds Slack each other through the trading day. Inside Edge chats live on private servers. The rich don't trade alone — they trade together. They pool intel, they pool strategy, they pool risk. We built that here. Free.

Find every trader who's beating the market
Search any handle, see their real win rate and all-time P&L on the spot. No badges, no influencer fluff — just the same numbers the elites use to judge each other.
Private chat with a real safety rail
Friend-to-friend messaging with ticker tagging built in. Every message gets scanned for API keys, passwords, and tokens — if it looks like something dangerous to share, you get a warning before it sends.
Sync your AI to a trader you trust
One click and your bot follows their strategy live — their risk dial, their schedule, their picks. Your funds, their settings. The collective intelligence move that's been gated behind hedge-fund seats since 1971.
The competition

Everyone else built a casino. We built you a desk.

The "investing app" market is full of pretty colors and zero advantage. Robinhood gamified gambling. The big brokers (Fidelity, Schwab, E*TRADE) sell you the same buy-and-hold advice your grandfather got. The handful of "algo" tools out there require you to code. Here's the honest comparison:

Feature
Robinhood / Webull
Fidelity / Schwab
TradingView / Composer
GeekTrades
Actually uses AI
No — just charts
No — human advisors
Templates, not AI
Hedge-fund-grade AI, voting on every trade
Trades automatically while you sleep
You have to click
You have to call
Only if you code it
Yes — scans every 60s, 24/7
Learns from your own trades
No
No
Backtests on old data
Self-tunes to your trades
Honest risk controls
Confetti when you lose
Generic warnings
DIY
Risk dial + auto kill-switch
Sells your orders to hedge funds
Yes (PFOF model)
Most do
Depends on broker
No — direct via Alpaca
Needs you to write code
No
No
Usually yes
No — just turn it on
Built for the individual, not the firm
Sort of
Built for the firm
For traders + funds
One person at a time. That's the whole point.
Everyone else hands you a chart and wishes you luck. GeekTrades hands you the system the hedge funds built behind your back — minus the $1M minimum and the 2-and-20 fee.
What your day looks like with GeekTrades
  • MorningOpen the app. Hit start. Close the app.
  • 9 – 5Go to school. Go to work. Live your life.
  • PingYour phone notifies you when the AI makes you money.
  • EveningRead a plain-English summary of what it did and why.

That's it. The traditional way means watching five charts, chasing news, and fighting the urge to panic-sell at the worst possible second. Most trading losses come from one thing — human emotion at the wrong moment. Losses still happen; markets move. But the biggest source of loss is the person at the keyboard. We took the person out of that moment. What's left is math, executed without fear or greed.

Pricing

Simple. Honest. No catch.

First month free — no card required to start. After that, $20/month flat. No order-flow selling, no upsells, no hidden tiers. The price covers servers and keeps the lights on.

First Month Free · Then $20 / month

$20 / month. First month free.

Start with paper trading — no card, no risk. Go live when you're ready. Every strategy, every signal, paper and live mode, all included. Cancel any time. The price exists to keep servers running — nothing else.

What $20/month covers

  • Cloud servers running 24/7 so your strategies don't sleep.
  • Live market-data feeds — these aren't free at scale.
  • Compute for the AI model scanning your watchlist every 60 seconds.
  • Storage for your trade history, learning data, and backtests.
  • Maintenance, security patches, and humans keeping it alive.

What it does NOT cover — and never will

  • VC growth targets. We're not venture-backed.
  • Selling your order flow to hedge funds. Ever.
  • Ads, upsells, or pay-to-unlock "premium signals."
  • Reselling your trading data or behavior to third parties.
  • A founder lifestyle. The math is cost-recovery, not extraction.
The deal: if our infrastructure costs ever drop — cheaper compute, more users splitting the bill, a better deal on market data — your price drops with them. The subscription exists to keep the servers on, not to fund anyone's exit. That's Right Livelihood, not lip service.
New GeekedAI models releasing June 25, 2026. A large-scale strategy evaluation is wrapping up — hundreds of candidate models tested across years of market data. Only the ones that hold up under real conditions ship. The current AI engine runs as normal until then, and you can upload your own strategy file right now. Browse QuantTrades marketplace ↗
Also on June 25: The The Edge launches — $5/week. Learn to build your own models from scratch using the same math powering GeekedAI's strategies. Linear algebra, probability, quant strategy design, backtesting, and marketplace deployment. See the course ↓
Begin

Start trading.

Paper mode by default. The same kind of AI hedge funds spend $1B+/year on — running 24/7 on your account. A risk dial you control. A kill switch that means it.

Launch Engine →

First month free. No credit card. Paper trading is the default. Connect your broker when ready.

Native apps coming soon. Until then — the web works on any phone.

Coming Soon App Store
Coming Soon Google Play
IG