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Start your first
quant investment

No code, no spreadsheets — just ask the AI,
see the backtest, then track it forward live.

No credit card · 13 years of US data · 3,000+ tickers

Quant Investing, Briefly

It's not magic.
It's just letting evidence decide instead of hunches.

The biggest names on Wall Street have been running their entire books this way for 30+ years. Most retail investors never get to try it — the tools and data have always been institutional.

FOUNDED 1982

Renaissance Technologies

Jim Simons · former NSA cryptographer

~66%

avg annual return, Medallion Fund, 30+ yrs (pre-fees)

FOUNDED 2001

Two Sigma

Siegel & Overdeck · ex-D.E. Shaw

$60B+

assets under management, hires PhDs in physics & CS

FOUNDED 1998

AQR Capital

Cliff Asness · "factor investing" pioneer

~$100B

brought academic factor research into real portfolios

Alpha Builders brings that same approach to you.
No PhD. No Bloomberg terminal. No code.

Read the full story →

Strategy Gallery

6 ready-to-run. 50+ more, on demand.

Six hand-picked quant strategies, real 3-year backtests (Jan 2023 – May 2026) against the S&P 500. Want something specific? Chat with the AI and it'll build a strategy for any idea you describe.

The AI chat replying to 'I want stock that goes up lately' with three factor recommendations: 5-day reversal, 14-day RSI, and KD(9).

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No forms. No formulas. Just chat.

Tell the AI your idea — even just one sentence. It builds the strategy, runs the backtest, and shows you the historical results. That's the whole thing.

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See years of evidence, instantly

Every strategy backtest runs against 3,000+ US stocks across a multi-year window (drawn from 13 years of historical data). Annualized return, Sharpe ratio, max drawdown, monthly turnover — all in about 30-60 seconds.

Backtest results page: 5-day reversal strategy returned +68.89% vs S&P 500's +34.14% (Sharpe 1.871) over a multi-year window, with the equity curve plotted against benchmark.
Live simulation detail page for a 'Bollinger Band Rider' strategy tracked since April 27 (30 days, weekly rebalance, top 10 S&P 500 stocks). Stats: +11.85% cumulative return, +6.90pp vs S&P 500 (benchmark +4.95%), 10 currently held positions. Cumulative-return chart shows the strategy line (blue) staying consistently above the S&P 500 line (gray) across the tracking window.

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See if it holds up — live.

Like a strategy from the backtest? Click 'Track this strategy' and we'll run it forward as a live simulation. Every market close, the picks are revalued at real prices and the NAV updates — side-by-side against the S&P 500. No money at risk. After a few weeks you'll know if the backtest's edge was real, or just lucky on one specific window.

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Build your own signal, no code

Combine 75 building blocks — momentum, technical signals, volatility, volume, liquidity — into custom factors with a visual editor. No Python, no Excel formulas, no spreadsheet hell.

Custom Factor Workshop: a tree-view formula div(close_adj, ts_min(low_adj, 260)) being assembled from drag-and-drop tokens, with an AI Assistant panel on the right suggesting starting points.

How it works

1

Tell the AI your idea

In plain English. Even one sentence works.

I want stocks that have been going up lately
2

Get a real strategy

AI picks signals, sets timing, explains why.

12-mo momentum · top 10% · monthly rebalance
3

See it run

13 years of US stocks, ~30-60 seconds.

+127% · Sharpe 0.94
4

Refine and save

Tweak, save what works, delete what didn't.

Try quarterly · top 5% · vs S&P 500

Frequently asked questions

Getting Started

I'm a complete beginner — can I really use this?

Yes. You don't need to know what "factor" or "Sharpe ratio" mean to start — you describe what kind of stocks you want to buy in plain English, and the AI translates that into a real strategy. As you see backtest results, the terms become concrete. If you want a primer first, our /learn page covers the basics in 5 minutes.

How long until I'll get something useful out of this?

Your first backtest typically runs in 30-60 seconds. So "I want to try an idea" → "I see how it would have done over 13 years" is about a minute, end to end. Building intuition for what works and what doesn't tends to take a few weeks of trying different ideas.

How is this different from just using ChatGPT?

We run on Claude Sonnet 4.6 — Anthropic's flagship model — paired with a built-in backtest engine over 13 years of US equity data. ChatGPT can talk about strategies; we actually run them, on real historical data, and show you the equity curve, Sharpe, and max drawdown.

The Product

Where does your data come from, and what stocks does it cover?

US daily price and volume data from major market data providers, covering 3,000+ tickers (the full S&P 500 plus the Russell 2000 small-cap universe) from 2013-01-02 through 2026-05. We don't currently have fundamental data (P/E, ROE, dividends, etc.) — our 75 factors are derived from price, volume, and technical signals.

How accurate are the AI's strategy suggestions?

Strategies are generated by Claude Sonnet 4.6, then run against real historical data. The AI's job is translation (English → factor strategy); the backtest itself is real math, not the AI making up numbers. The AI is good at picking sensible defaults; it's not infallible, and you should always read the metrics and decide whether the strategy makes sense to you.

Can I build my own custom factors and signals from scratch?

Yes. The Factor Workshop lets you combine the 75 built-in factors using a visual editor — add, subtract, multiply, threshold, rank. Free tier supports up to 3 custom factors per account. You can also share factor IDs with the AI in chat so it incorporates your custom signal into strategies it suggests.

What does "tracking a strategy" do?

After you find a strategy you like, you can run it forward as a live simulation. Every market close, the strategy's picks are revalued at real prices and we update a hypothetical NAV — side-by-side against the S&P 500. So you can see at a glance whether the backtest's edge holds up in current markets, or whether it was an artifact of one specific historical window. No money at risk. Free.

Money, Rules, Safety

Will it place trades for me? Is this investment advice?

No to both. Alpha Builders is a research tool, not a broker. We don't place trades, manage money, or provide personalized investment advice. We show you how strategies would have performed historically. Whether to act on that — and how — is your decision (and your broker's job).

Is it really free? What's the catch?

Yes, fully free during early access. You can use everything: 40 AI responses per day, 10 backtests per day, all 75 factors, the full 13 years of US data. We may introduce paid tiers later for power users — when we do, we'll give existing users advance notice and early-bird pricing.

Are my chat history and strategies kept private?

Yes. Your chat history, custom factors, and backtest history are tied to your account and not visible to other users. We don't sell user data. We do use anonymized usage logs to improve the product (which features get used, which factors get picked) — never anything identifying you individually.

About Us

How to contact us

Email: support@alphabuildersus.com. We read everything. Response time is typically under 48 hours.

Build it. Backtest it. Simulate it. Free.

No credit card. No setup. Just open a chat and ask.

13 years of US data · 3,000+ tickers · S&P 500 + Russell 2000