Prediction markets are exploding in popularity. I don’t consider them investing – but they may be creating information investors shouldn’t ignore.

Fall might be my favorite time of year.

The weather is great, the crowds around Lake Tahoe start thinning out, and the sports calendar is loaded. College football and the NFL are underway. Major League Baseball is heading toward October. The NBA and NHL seasons are right around the corner.

For a sports fan, it doesn’t get much better.

I’m not much of a gambler, but every once in a while I’ll head into one of the Tahoe casinos and put together a football parlay. Nothing serious. Mostly, it gives me a little more reason to care about games I otherwise might not watch.

And almost every time, I’m reminded of the same thing:

Vegas is really good at this.

How do oddsmakers consistently set a point spread that can make a game between two very different teams come down to a half-point?

There’s a lot that goes into it, of course. Models, statistics, injuries, matchups and professional oddsmakers all play a role. But there’s another important component: the market itself.

Once bettors start putting real money behind their opinions, information begins showing up in the price.

And that brings us to one of the more fascinating developments happening at the intersection of sports, finance and technology: prediction markets.

Sports Betting and Prediction Markets Are Converging

Prediction markets aren’t new. But their popularity is exploding.

During the opening weekend of the 2026 NFL season, prediction markets generated roughly $3.12 billion in trading volume on Sunday alone, following approximately $3.17 billion on Saturday as college football drove activity. Kalshi accounted for about $4.89 billion of volume across the weekend.

Zoom out and the growth is even more striking. Combined monthly trading volume across major prediction platforms increased from less than $5 billion in September 2025 to roughly $24 billion by April 2026, according to Pew Research Center’s analysis of industry data.

Sports are becoming an enormous part of that activity.

That makes the distinction between a sportsbook and a prediction market increasingly interesting.

At a sportsbook, I’m placing a bet. In a prediction market, I’m technically buying or selling a contract tied to whether a particular event occurs.

But let’s not get too cute with the terminology.

If I’m buying a contract because I think the Packers are going to beat the Bears, I’m gambling.

Calling it a “contract” instead of a “bet” doesn’t fundamentally change what I’m doing.

But what happens when the question changes?

What if the contract asks whether inflation will exceed 3%? Whether the Federal Reserve will change interest rates at its next meeting? Whether Congress will pass a particular piece of legislation? Whether a company will beat earnings expectations?

That’s where prediction markets become much more interesting to me as an investor.

Maybe Investors Shouldn’t Trade Prediction Markets. Maybe We Should Listen to Them.

One of the most important functions of any financial market is price discovery.

Millions of investors have different opinions about what Apple, Nvidia, a Treasury bond or a barrel of oil should be worth. Those views collide in the market, and buying and selling ultimately produce a price.

Prediction markets attempt to do something similar with probabilities.

Imagine a contract that pays $1 if the Federal Reserve raises rates at its next meeting and nothing if it doesn’t. If that contract trades around $0.65, the market is effectively attaching roughly a 65% implied probability to the event, subject to the contract’s structure and market frictions.

New economic data comes out. Someone at the Fed gives a speech. Inflation surprises. Traders adjust their expectations and put money behind those views. The price changes.

That’s price discovery.

And that’s the part of prediction markets that I find genuinely interesting.

Research into prediction markets has long focused on their ability to aggregate information from participants with different beliefs, although the quality of that information depends on factors including market structure, liquidity and the participants themselves.

We’re even beginning to see research into corporate earnings prediction markets. A recent study of 853 Polymarket markets tied to quarterly earnings found that prices tended to move toward the eventual earnings outcome before the announcement. The researchers found little evidence in their sample that the pattern could be explained by disclosed insider trading, suggesting that information aggregation may be playing a meaningful role.

That doesn’t mean prediction markets are crystal balls. Far from it.

Thin liquidity can distort prices. Participants can be wrong. Popular narratives can overwhelm fundamentals. Contract wording and resolution rules matter.

So I wouldn’t make an investment decision simply because a prediction market says something has a 70% probability of occurring.

But increasingly, I’d want to know what the prediction market is saying.

Think about the potential dashboard available to investors:

• What probability is the market assigning to the next Fed move?
• What does it think about the next inflation report?
• What are the odds of a recession?
• How likely is a government shutdown?
• What does the market think about an earnings announcement?
• How are those probabilities changing as new information arrives?

Prediction markets don’t replace fundamental analysis, economic research, market data or professional judgment.

They potentially add another data point.

And sometimes the change in that data point may be more interesting than the absolute number itself.

Investing, Speculating and Gambling Aren’t the Same Thing

All of this raises a bigger question I’ve been thinking about: Where does investing end and gambling begin?

I don’t believe investing is gambling.

When you invest in a company, you’re purchasing ownership in a productive asset. That business has employees, customers, revenue, assets and – hopefully – cash flows. If it succeeds over time, your ownership stake can become more valuable.

That’s fundamentally different from betting on the Packers on Sunday afternoon.

But there is a lot of territory between those two extremes.

Benjamin Graham drew an important distinction between investing and speculation. Graham and David Dodd famously defined an investment operation as one that, after thorough analysis, seeks safety of principal and an adequate return. Operations that don’t meet those requirements are speculative.

I still think that framework works remarkably well.

Buying shares in a business after studying its financial condition, competitive position, valuation and future cash-flow potential? Investing.

Buying a meme stock because social media says it’s about to squeeze? Speculation.

Buying a zero-day option because you believe the market is going to rally after the Fed announcement? Calculated speculation – a calculated gamble with a defined outcome and risk.

Trading a binary contract on the next Fed decision? Same idea.

And there’s nothing inherently wrong with calculated speculation when someone understands exactly what they’re doing, understands the risk and sizes that risk appropriately.

The problem comes when we confuse speculation with investing.

A ticker symbol doesn’t automatically make something an investment. An app calling something a “contract” doesn’t necessarily prevent it from being a bet. And doing research before making a wager doesn’t magically turn gambling into investing.

The process and purpose matter.

Prediction Markets May Be More Valuable as Information Than Investments

That’s ultimately where I land on prediction markets.

I view most prediction-market contracts – particularly sports contracts – as much closer to gambling or speculation than traditional investing.

There’s generally no underlying productive asset. There’s no stream of corporate cash flows. There’s no dividend. There’s no ownership stake in a growing business.

You’re wagering on whether something will happen.

But that doesn’t mean the information being produced by those markets is worthless.

Quite the opposite.

Prediction markets are rapidly becoming big enough that investors should probably pay attention. At the same time, legitimate questions remain around regulation, market integrity, insider information and the boundary between derivatives and gambling.

For investors, however, I think the most interesting opportunity may have nothing to do with trading the contracts.

It may be about observing them.

We already look at Treasury yields to understand interest-rate expectations. We look at credit spreads to understand perceptions of risk. We look at options markets to understand volatility. We look at commodity prices for clues about global supply and demand. We look at consumer surveys to understand sentiment.

Why wouldn’t we also look at a market where people are putting actual money behind their expectations about future events?

Prediction markets won’t always be right. Neither is the stock market. Neither are economists.

And based on my occasional football parlays, I certainly am not.

But markets have an extraordinary ability to aggregate information.

Maybe the real opportunity for investors isn’t to treat prediction markets as another place to invest.
Maybe we should treat them as another place to listen.

The View From 6,230

The explosion in sports betting and prediction markets is blurring some interesting lines between gambling, speculation and investing.

I still believe those distinctions matter.

Investing should involve analysis, discipline, an understanding of risk and a fundamental reason to expect capital to compound over time. Speculation involves accepting greater uncertainty in pursuit of a particular outcome. Gambling is primarily a wager on an outcome.

Sometimes the lines between them aren’t perfectly clean.

But perhaps that’s exactly why investors need to understand the difference.

Prediction markets don’t change the fundamentals of disciplined investing.

They may simply give disciplined investors one more source of information to consider.

And this football season, I’ll probably still make the occasional trip to a Tahoe sportsbook and put together a parlay.

Just don’t confuse it with my investment portfolio.

Sources & Further Reading

• Reuters, Sept. 15, 2026 – NFL Week 1 drives prediction-market volume.
• Pew Research Center, May 27, 2026 – Trading volume on prediction markets has soared in recent months.
• INFORMS / Operations Research – Research on prediction markets and information aggregation.
• SSRN – Research on prediction markets tied to quarterly corporate earnings.
• CFA Institute – Benjamin Graham’s distinction between investing and speculation.
• Reuters, Sept. 18, 2026 – Prediction markets, industry growth and regulatory risks.