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Trading Against the Machines

Morning in the Markets

Briton Ryle by Briton Ryle
December 16, 2022
in Investment Strategies
0
Businessman analyze data of stock market research.

Well, this is awkward…

Yesterday, as I was writing “Morning in the Markets” before the opening bell rang at 9:30, as it does every day, index futures were down across the board. After trying to make sense of the Fed’s arcane statements about the latest interest rate hike, I told you that I was looking for a reversal off the early morning lows, and I was looking at Meta (NASDAQ: META) for an upside trade…

Ooof.

Sadly, there were no early morning lows. Stocks churned lower pretty much all day. The S&P 500 didn’t close right on its low, but it closed close enough to the day's lows that there is no rational way to sugarcoat it. 

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JP Morgan (NYSE: JPM) came out with a bullish call on Meta this morning. From a rating of “neutral,” the investment bank raised its rating on Meta from “Neutral” to “Overweight.” Meta shares are up a little in today’s pre-market – cold comfort because I got cold feet, and I did not take that Meta trade yesterday, and I’ll tell you why…

I’ve talked about how the market is prone to emotional swings. But the fact is, something like 70% of all stock market trading is done by machines running trading algorithms. These algorithms make buy and sell “decisions” based on a range of conditions that have been written into the program. Like “if the S&P 500 falls below XXX, sell sell sell!”

As you’d expect, the machines execute their orders with ruthless precision. But the algorithms themselves are still written by humans. Emotions are still an important aspect. A day like yesterday, where the selling is relentless, has a look and feel of an emotional reaction. It feels like there is fear in the air.

But the thing is, relentless one-way moves like yesterday’s are a hallmark of machine-based trading. When sell orders dominate the flow, the machines stop putting out buy orders. They don’t oppose each other, they don’t go against the flow. 

So, for individual investors like myself, it’s rather easy to recognize when the machines start marching in lockstep, and it’s best to stand aside. 

Now, what do we do with that information? 

The first thing to understand is that the machines can and will switch from “sell” to “buy” without fanfare. So it’s very easy to get caught leaning the wrong way. Remember, the algorithms use the same technical indicators human traders do – indicators like trendlines, moving averages, and support/resistance levels. 

Today, the 50-day moving average for the S&P 500 sits at 3,861. As I write, S&P 500 futures are trading at 3,859. There is no doubt that the 50-day MA is accounted for in the trading algorithms. The algorithms were targeting the 50-day MA in the pre-market. The question is, what will the algorithms do now? 

I will watch for a show of strength at the 50-day moving average. And that’s simply because I expect that the downside story is mostly played out after the selling we've seen. Opportunity should be to the upside. We’ll see…

That’s your “Morning in the Markets” take care, have a great weekend, and I’ll talk to you on Monday.

brits-sig

Briton Ryle
The Profit Sector

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Tags: META (NASDAQ: META)Technical IndicatorsThe Fed
Briton Ryle

Briton Ryle

I’ve been trading, investing, and sharing my insights with individual investors since 1998.  Back then, the internet was not a very useful research tool. Armed with a library card and a huge budget for the printer, I’d scroll the microfiche for Wall Street Journal and Financial Times articles. I bought technical books on wireless technology and fiber optic networks. I traveled to Chicago to learn the secrets of stock options trading directly from the experts on the floor of the CBOE.  I’ve attended and spoken at more investor conferences than I can remember…. All because I’ve always taken my responsibility to my readers and subscribers very seriously. I refuse to parrot popular opinion, offer up half-baked ideas or publish incomplete or half-hearted research.  There is no shortcut to deep research... becoming as close to an expert on topics, trends, and technology as possible. And the rewards are life-changing. The very first stock I ever recommended was South Korea’s SK Telecom. My readers enjoyed a 150% profit in a matter of months.  And after 25 years, I’ve helped tens of thousands of readers change their financial fortunes.  A few months ago, I donated all my suits to Goodwill, pulled my name off the list of speakers for the big investor conferences, and left the big city for Southern Georgia. The plan was to retire to the banks of a tidal creek that splits off from the St. Mary’s river as it enters the Atlantic between Cumberland and Amelia islands... and trade stocks when I felt like it. But, I guess retirement wasn’t for me after all. I’m back, and this is gonna be something special. 

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© 2024 The Profit Sector, LLC. All rights reserved. Our website provides stock market research, commentary, and analysis. Information is provided “as is” and solely for information purposes, not for trading purposes or advice.

Nothing on this website should be considered personalized financial advice. Any investments recommended herein should be made only after consulting with your personal investment advisor and only after performing your own research and due diligence, including reviewing the prospectus or financial statements of the issuer of any security. The Profit Sector, its managers, its employees, affiliates and assigns (collectively "The Company") do not make any guarantee or warranty about the advice provided on this website or what is otherwise advertised above. The Company is not registered or licensed by any governing body in any jurisdiction to give investing advice or provide investment recommendation. The Company is not affiliated with, nor does it receive compensation from, any specific security. To the maximum extent permitted by law, the Company disclaims any and all liability in the event any information, commentary, analysis, opinions, advice and/or recommendations provided herein prove to be inaccurate, incomplete or unreliable, or result in any investment or other losses.

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