Are you trading the wrong hours?

There’s something about the stock market that’s been staring us in the face for decades.

Yet almost no one talks about it.

Over the last 24 years, US stocks have returned about 0% during regular market hours.

The blue line shows you the movement during the regular market hours of 9:30 am to 4 pm ET.

All the real gains? They happen overnight when the market’s closed, as you can see from this orange line…

But the data shows it’s a losing battle. Up to 97% of day traders end up in the red.

So I asked myself… What if we could turn this obvious “secret” to my advantage?

That’s when I developed a special type of trade that doesn’t rely on the market making a big move.

In fact, it works best when the market does what it does 90% of the time which is… not much at all.

Here’s how it played out last month, August 21st…

The market bounced all over the place that day. But by 11 AM, We’d already locked in $101… on a small $1000 stake.

I just needed it to avoid an extreme move during a specific window.

This approach has led to some eye-opening results… A 90.2% win rate over time… Consistent $100-$150 targets with most trades wrapped up within 90 minutes.

Now, I can’t promise you’ll see these exact results. Trading always carries risk.

But what if you could flip the script on how you approach the market?

What if you could target these types of profits from what most traders see as a problem?

I’ve laid out all the details right here.

It’s not for everyone. But if you’re tired of fighting the market’s natural tendencies, this could be a game-changer.

See the full strategy here

Chris Pulver

The trades expressed are from historical back teste] data from June 2022 through April 2024 combined with Chris’s live money trading from June 2024 through September 1 2024 to dem@hstrate the potential of the system. The average winning trade during the backtested data was 11.5% while the average losing position was 74.5% per trade and a 90.9% win rate. The average winning trade during the real time data was 10.5% while the average losing position was 29.5% per trade and an 83% win rate.