About · Editorial & Methodology

We test the tools so you don’t have to.

FullStack Alpha is the independent research desk behind AI Stock Picker Apps. We test AI trading tools hands-on, rank what actually holds up, and call out what doesn’t by name. More than 200 tools reviewed. No crypto, no price predictions, no return promises.

LIVE TRACKING · NO PAID RANKINGS · PUBLISHED P&L
200+
Tools tested
4
Markets: stocks · ETFs · options · futures
0
Paid rankings sold
0
Crypto · predictions · promises

Retail traders got sold a story in 2023 that any AI model could pick stocks. YouTube filled up with affiliate links and "hedge fund killer" thumbnails. Every review site quietly took a check to move a tool to #1.

We got tired of it. FullStack Alpha started as a private spreadsheet: three traders, one columns-and-rows grading rubric, and a shared brokerage account we used to actually execute the signals from every AI stock picker we could find. When the data started to disagree with the paid rankings elsewhere, we published it.

"If we can't survive a live account with the vendor's own default settings, the review doesn't ship. Full stop."

Today the operation is bigger — more capital, more tickers, more asset classes — but the standard hasn't moved. Every tool in our directory has been tested against a real benchmark by someone who trades with their own money.

The methodology

How every review is scored.

We publish two verdicts per tool: what it does well, and where it breaks. Both sides come from the same 8-week live account. No cherry-picked screenshots, no vendor-supplied backtests.

Bull case · what we look for
  • Positive net-of-fees alpha vs. a matched benchmark over 8+ weeks
  • Signal count high enough to be statistically meaningful (n > 40)
  • Execution slippage under 0.35% on liquid names
  • Documented model logic, not "proprietary black box"
  • Risk controls the vendor didn't have to be asked twice about
Bear case · instant disqualifiers
  • Backtest cherry-picking, survivorship bias, or repainting signals
  • Refusal to publish drawdown or worst-week performance
  • Signals only tradeable on illiquid penny tickers
  • Pressure to change a score after publication
  • Any offer to pay for placement or "editor's choice"
Disclosure

We use affiliate links on tools that pass the review. That's how we fund the live testing accounts, the data subscriptions, and the writers. Affiliate status does not affect ranking, score, or verdict — multiple #1-ranked tools in our directory don't have an affiliate program at all.

Our stance

What we won't do — and won't publish.

Independence is easy to claim and hard to keep. Here is what we've said no to, on the record, more than once.

× Paid rankings× Guest posts for links× Vendor-supplied backtests× "Editor's choice" for sale× Undisclosed sponsorships× Signals we haven't traded

If a vendor asks us to change a score or take down a verdict, we say no and note the attempt in the review. That has happened seven times so far. All seven notes are still live.

FAQ

Common questions.

Who runs FullStack Alpha?
FullStack Alpha is run by an independent editorial team of former retail and institutional traders who now spend their time stress-testing AI trading tools. We fund the operation through affiliate revenue on tools that pass our methodology — never through paid rankings, guest posts, or “editor’s choice” spots for sale.
How do you test AI stock picker apps?
Every tool is subscribed to at the highest reasonable tier, connected to a live brokerage or paper-trading account, and tracked for a minimum of 8 weeks against a matched benchmark (SPY, QQQ, or a strategy-appropriate index). We log signal count, execution slippage, hit rate, average R multiple, and net alpha after subscription costs. Reviews are only published once the data set is complete.
Do you accept payment for reviews or rankings?
No. Rankings, star ratings, and editorial verdicts are never for sale. We use affiliate links on tools that already earned a passing review, and every page that contains one carries an affiliate disclosure. If a vendor asks us to change a score, adjust a verdict, or take down criticism, we say no and note the attempt in the review.
What is your review methodology in one paragraph?
We stand up a real (or realistic paper) account, subscribe at a paid tier, run the tool on its default strategy for 8+ weeks, and compare the net-of-fees result to a matched benchmark. We publish the underlying trade log, note every material limitation (survivorship bias, data lag, illiquid tickers), and only recommend a tool if the risk-adjusted alpha is positive and repeatable.
Is FullStack Alpha financial advice?
No. Nothing on this site is personalized financial, investment, tax, or legal advice. We review software and publish performance data; you are always responsible for your own trading decisions. Consider consulting a licensed advisor before deploying capital based on any AI signal, ours or anyone else’s.

See which AI trading tools actually make money.

Browse the directory of every tool we've tested, ranked by live performance — not paid placement.

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