Common concerns about marketing and advertising for the software we’re using to get an edge in our portfolio have come up. These concerns are valid, and in today’s video, I’d like to address them. If one person is thinking about it, I’m sure many others are too. So, let me settle the score once and for all.
Welcome! If you’re new to the channel, my name is Matt Jimenez. I’m an entrepreneur who has worked with the greatest minds in finance over the last several years. I’m here to share everything they’ve taught me. In today’s video, I want to address a specific comment that came in on a video.
This comment is from The Wealthy Dancer. It came in on a video regarding Jeff Singer’s mom, Judy, and me going over her results on her MyFXBook account, tracking her software. The comment said: “She did average 3.12% per month for 2024. That’s only a third of the results Jeff is advertising. You can see that over the last 12 months, the algorithm isn’t giving you the wild gains it did in the beginning of 2023. I think you should address this change in performance in your next video. I bet many people are wondering, is it the algorithm or is it the market? At this pace, another 6 months from now, it will drop to 1% a month, comparable to what REITs are paying out. Anyway, thanks for the videos, man. Really appreciate them.”
The focal points of this statement are that he believes the software will continue underperforming, eventually resulting in returns so low that he could find the same yield in REITs. If you don’t know what REITs are, they are a way to be exposed to real estate performance without owning any properties. Secondly, he is concerned about how we can advertise a certain amount when this person only achieved a lower amount. Specifically, we’re talking about Jeff’s Mom’s account, called Judy’s Big Fed Bot. He states the average amount for Judy’s monthly performance is 3.12%, while the advertisement was for 10%.
First, let’s address these in the opposite order. We’ll start with the averages. I’ll go over how to calculate an average because it’s crucial to understand this concept for the rest of the video. An average equals the sum of all values divided by the number of values.
For example, if you have 10 people with monthly averages ranging from 2% to 20%, you would add up all 10 people’s averages and then divide that number by 10. If you get a total of 30%, you divide it by 10 to get an average of 3%. This is how averages are calculated, how MyFXBook tracks everything, and how we conduct surveys to get our averages.
Now, let’s look at some charts to illustrate what averages look like across a board of averages, such as 10%, 8%, or 13%. Remember, averages are a continual moving scale. The longer the time horizon, the more variables and inputs you have into an average, which ultimately changes the percentage. For example, if my weight fluctuates from 170 to 180 over five years but from 180 to 190 over one year, the five-year data provides a more accurate average.
With this in mind, let’s look at some data from my accounts, other accounts, and the account in question.
Here’s my Fed Bot $50,000 account, which I started in October but became active in November. My monthly average has been 3.12%. Each account has different risk management settings, which changes the average. Some people have a 3.12% average, while others have 15% or 10%. The average ensures we cover every user from the 1% earner to the 15% earner, keeping it morally correct and transparent.
Now, let’s look at some other accounts. Here’s Jeff’s account, which you might have seen in advertisements. The monthly average here is still 10%, though data always changes. Here’s another account, DIO, with an 18% monthly average. This doesn’t mean all accounts will have 18%, but it shows individual variations.
Let’s check our Circle Community. One user, copying the software manually, showed results from losing money in one month to gaining 37% in another. His monthly performance averages out based on these variations.
Here’s another user, Daniel, with a 14.62% monthly average. Another user, Wayne May, averaged 10.93% this year and already achieved 52% by June. Each user’s average varies based on their risk settings.
Returning to Judy’s account, it initially showed a 3.12% monthly average, but it has since changed to 6.38%. Monthly averages are moving scales and always changing. The software’s performance depends on continuous improvements, and while past performance doesn’t indicate future results, our team is dedicated to enhancing the software.
If you found this video helpful, please like, comment, or subscribe. For those interested in licensing the software, the link is in the description or comments. I hope to see you in the Circle Community with other winners. As always, peace!
Please visit Are Algorithms Losing Their Profitability? To watch the full video on YouTube!
