QUANTGPT LEARN · BECOME A QUANT
// Anyone. Any skill. Any AI. Any API.

BECOME
A QUANT.

Ten minutes, one real strategy, twenty-seven years of real S&P 500 data. By the end of this page you will know what a quant is, why software beats emotions, and how to run your first strategy without watching a chart ever again.

// WHAT IS A QUANT

A quant is someone who trades with computerized rules built on data instead of feelings.

No hunches, no headlines, no 3am chart staring. An idea becomes criteria, criteria become a program, the program runs somewhere reliable and executes through a brokerage API. That is the entire job description.

// HOW YOU BECOME ONE

IDEAA HYPOTHESIS CRITERIAEXACT RULES PROGRAMSOFTWARE CLOUD BOXALWAYS ON BROKER APITHE WIRE EXECUTIONYOUR BROKER, YOUR ACCOUNT

QUANTGPT COVERS EVERY STEP EXCEPT THE LAST ONE. EXECUTION HAPPENS AT YOUR BROKER, ON YOUR KEYS, AT YOUR DIRECTION. WE ARE THE NEXUS; THE TRADE IS YOURS.

// STEP ONE · MEET THE MARKET

This is the S&P 500, real data, 1999 to 2026, from the QuantGPT warehouse. Ten thousand dollars riding it the whole way becomes about sixty-one thousand. The index is a great machine. It is also a machine that occasionally sets your money on fire: twice in this window it cut an account nearly in half or worse.

// THE S&P 500 · 1999 ▸ 2026 · $10K START REAL WAREHOUSE DATA · NOT A SIMULATION
S&P 500
CAGR
--
WORST DRAWDOWN
--
SHARPE
--
$10K BECAME
--

// STEP TWO · THE IDEA

What if you only rode the index while it was healthy? One of the oldest findings in the research: compare the price to its own 200-day moving average. Above the line, the market spends most of its time going up. Below the line is where the catastrophes live: the crashes, the panics, the year-long bleeds.

// ADD THE 200-DAY MOVING AVERAGE REAL WAREHOUSE DATA
S&P 500 200-DAY MOVING AVERAGE

// STEP THREE · SEE THE REGIMES

Paint the same history by which side of the line the market is on. Green: above the average. Red: below it. Nearly all of the misery, 2000 to 2003, 2008 to 2009, the 2020 crash, the 2022 bleed, happens in red. The idea works. Armed with this knowledge, take this observation, validated by data, and USE IT to build a trading system.

// SAME MARKET, PAINTED BY REGIME REAL WAREHOUSE DATA
ABOVE THE 200-DAY BELOW THE 200-DAY 200-DAY AVERAGE

// STEP FOUR · WHY HUMANS FAIL AT THIS

Simple rule, right? Except executing it by hand means watching the close every single day for twenty-seven years. And the naive version of this rule, sell the moment price dips below the line, buy the moment it pokes above, would have flipped your account 196 times. Every triangle below is a trade the naive rule demands. Most are whipsaws: false alarms that cost money, patience, and sleep. This is where humans break: they hesitate, they revenge-trade, they stop following the rule the week before it matters most. Software has none of those feelings.

// THE NAIVE RULE EXECUTES THESE TRADES REAL WAREHOUSE DATA
ENTER EXIT

// STEP FIVE · BUILD THE QUANT

So we tune the rule to trade less and mean it more: go long only when the close is 1% or more above the 200-day average; go flat only when it closes 3% or more below. The buffer kills the whipsaws: 42 trades in 27 years instead of 196. And flat does not mean idle: while out of the market the cash earns the going money market rate, the real 3-month Treasury bill yield of each day, straight from the Fed's own data. Here is that machine against buy-and-hold, on the same real data:

// THE TREND QUANT VS BUY-AND-HOLD · $10K START REAL WAREHOUSE DATA · WALK THE WHOLE WINDOW
BUY & HOLD THE TREND QUANT
QUANT CAGR
--
QUANT WORST DD
--
QUANT SHARPE
--
TRADES · 27 YRS
--
vs 196 naive
THE DEAL, STATED PLAINLY: SAME ENDING MONEY, LESS THAN HALF THE WORST DRAWDOWN. WHILE FLAT, CASH EARNS THAT DAY'S 3-MONTH T-BILL RATE (FRED SERIES DTB3). GROSS RETURNS, NO TRADING COSTS MODELLED. A BACKTEST IS NOT A PROMISE.

THERE YOU GO. THAT WAS A QUANT STRATEGY, AND YOU JUST UNDERSTOOD EVERY PIECE OF IT.

// STEP SIX · SAME RULE, FASTER INDEX

One more move. The rule you just built is a crash filter, and a crash filter is worth the most on the index that crashes hardest: the Nasdaq 100. Same signal, same 42 trades, same money market while flat, but the long leg holds NDX instead of the S&P. Riding the Nasdaq raw meant an 83% drawdown in the dot-com bust, a hole almost nobody holds through. Behind the filter it kept most of the rocket, dodged most of the crater, and finished ahead of buy-and-hold on both indexes:

// THE SAME QUANT, TRADING THE NASDAQ 100 · $10K START REAL WAREHOUSE DATA
S&P 500 BUY & HOLD NASDAQ 100 BUY & HOLD THE QUANT ON NDX
CAGR
--
WORST DRAWDOWN
--
SHARPE
--
$10K BECAME
--
NASDAQ 100 FIGURES ARE PRICE-ONLY; ITS DIVIDENDS (ROUGHLY 1% A YEAR) ARE EXCLUDED, WHICH UNDERSTATES THE STRATEGY. THE SIGNAL STAYS ON THE S&P'S 200-DAY LINE. GROSS OF TRADING COSTS. A BACKTEST IS NOT A PROMISE.

// WHERE IT RUNS

A strategy is useless on a laptop that sleeps. So the program goes in a cloud box: always on, always watching the close, no emotions, not tied to your machine. Then it points at your brokerage API with your own keys, and the trades land in your account. All of that is what QuantGPT does: buy a strategy on the Exchange, one-tap deploy it to our rails, connect your keys. Or run every strategy as a plain screener, see what it would own today, and place the trades yourself. Your call, always.

// MORE THAN ONE PLAY

Trend is the simplest quant strategy, not the only one. The same loop, idea, criteria, program, applies to every documented edge:

CHEAP & PROFITABLE

Low P/E plus real profitability: the classic value screen, run as a machine.

MOMENTUM

Buy strength, rebalance monthly, let winners compound. The most documented edge in the literature.

FUNDAMENTALS FIRST

Margins, balance sheets, earnings growth: own only companies that clear the bar.

// THE THREE STEPS

SELECT YOUR STRATEGY

From the Exchange, the Strategy Library, or build your own criteria in the terminal.

CHOOSE WHERE IT RUNS

One-tap deploy to QuantGPT rails, or download it and rig your own box. Both are yours.

POINT IT AT YOUR BROKER

IBKR, Alpaca, Hyperliquid, and the majors as they certify. Your account, your keys, your trades.

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