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Are you bullish or bearish?

As an investor, it’s a question you hear a lot.

A brother-in-law asks you at a family barbeque. A CNBC host asks a bigshot economist which way the market is headed. Or your broker sends you his annual outlook.

Heck, every week going back to 1987, the American Association of Individual Investors has asked its members which direction they think the market is headed over the next six months.

Millions of investors all asking the same question – and all missing the point.

The bull-or-bear question is a rookie trap.

Professional investors – especially the folks inside the world’s most profitable hedge funds – don’t think in these terms. They look for ways to profit whether stocks are going up or down.

Nobody understood this better than Jim Simons.

He didn’t build the most profitable hedge fund in history, Renaissance Technologies, by trying to predict the direction of the market. Instead, he used advanced algorithms – and reams of market data – to unearth repeating “signals” in stocks that point to high-probability trade setups.

Bull market or bear market, it didn’t matter. The signals worked either way.

It’s the same principle behind the new AI-powered trading system my team and I at TradeSmith have spent more than a year developing.

It’s inspired by Simons’ search for signals. And the results have blown us away.

In a five-year backtest, a model portfolio of these signals’ trades turned $10,000 into $1.2 million.

And in 2022 – the worst year for stocks in half a century – they produced an average gain of 16.6% while the S&P 500 fell nearly 20%.

I’ll show you more about how it works in a moment. Better still, I’ll give access to a beta version of our software so you can try it for yourself.

First, it’s important to understand how Simons pioneered this unorthodox trading technique. It started in a cramped office in a Long Island strip mall – about as far from the glitz of Wall Street as you can get.

The Search for Unique Signals

Simons had just walked away from his tenured position heading up the math department at Stony Brook University. And he was running his fledgling trading firm out of a nearby mall.

He wasn’t interested in earnings reports or analyst forecasts. He knew that if you did what everyone else was doing, you’d get the same returns as everyone else. He wanted to beat the market, not just track it.

So, he looked for unique signals – obscure, repeatable patterns buried in reams of market data that pointed to predictable moves.

To find them, he didn’t hire Wall Street traders. Instead, he hired mathematicians, physicists, and – notably – two IBM scientists who spent their careers building speech recognition models.

They’d been building computer models to predict the next word in a sentence based on patterns in prior text. Simons told them to apply the same logic to stocks.

Renaissance Technologies averaged 66% annual gross returns over the next four decades. This made it the most profitable hedge fund in history.

For obvious reasons, Simons wasn’t in a rush to share his secrets. So, this market-beating approach stayed locked inside a handful of elite hedge funds, widening the wealth gap instead of narrowing it.

But over our 21-year history, our mission at TradeSmith has been to put hedge-fund-level tools in the hands of regular investors. And with our latest innovation, we’re blowing that Wall Street secret wide open.

We’ve Never Gone This Deep Before

We’re a financial technology firm based in Baltimore, Maryland that develops hedge-fund-level analytical systems for self-directed investors.

More than 134,000 people in 86 countries use our software to manage more than $29 billion in assets. And we’re always innovating – testing trading strategies, financial metrics, and data patterns to uncover profitable systems and indicators.

That’s what’s gotten us featured in Forbes, The Wall Street Journal, and The Economist.

It started with our risk management software, TradeStops. It takes the emotions out of investing by showing you the ideal time to sell your stocks.

We’ve also created software that spots hidden seasonality patterns in stocks… finds undervalued options plays… and uses AI to forecast stock moves up to 21 trading days out.

But our new system goes deeper than we’ve ever gone before.

It evaluates 2.09 million potential trades a day across 2,467 stocks. It runs each one through 847 individual calculations, hunting for the same kinds of signals Simons built his career on.

When the right combination of factors aligns, our system flags it as a high-probability trade setup.

The results speak for themselves.

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