I recently attended a webinar for VantagePoint's trading software, and what followed was one of the most frustrating sales experiences I’ve ever encountered. After the webinar, I received two back-to-back calls from sales representatives who used cliché and irritating sales tactics like, “What would you do with all the trading profits you'll make with the system?” It felt incredibly pushy and unprofessional.
I had to reschedule for work reasons, but the next day was no better. I joined a Teams presentation on the software, and it turned out to be just as bad, if not worse. The rep spent most of the time making obnoxious, overblown claims about the software’s accuracy while pushing overpriced packages. When I politely explained I had to leave for work, the rep turned aggressive, insisting I choose a package on the spot. I reiterated that I wanted time to think it over, but he wouldn’t let it go. When I thanked him for the presentation, he snapped at me, claiming I “obviously didn’t appreciate the presentation” because I didn’t purchase anything immediately. This was completely out of line, and I ended the call right then and there.
Being skeptical, I decided to dig into their claims, particularly their so-called "Independent Third-party Accuracy Study of VantagePoint." For context, I hold a Ph.D. in business with a minor in applied statistics, so I know how to evaluate accuracy claims critically. Here’s what I found:
#### Directional Matches for Typical Price Predictions:
- For Apple Inc., the directional match accuracy of VantagePoint’s predictions was 64.71%, compared to 60.00% for a naive model.
- This is a meager improvement of just 4.71%, far from the groundbreaking performance their sales team claims. Accuracy improves with the use of their set of proprietary indicators (which you will have to purchase and which were mentioned during their initial sales pitch).
#### Trade-offs in Signed Forecasts:
- While VantagePoint reduces directional bias slightly, the standard deviation of errors (e.g., 2.37 vs. 2.47 for Apple) shows little improvement. For a system touted as revolutionary, these gains are unimpressive.
#### Challenges with Volatile Markets:
- In highly volatile scenarios, like Shopify or REX, their so-called Neural Index accuracy dipped to as low as 57.48%, barely outperforming random guessing.
#### Disappointing Short-Term Crossover Performance:
- The short-term crossover success rate for VantagePoint predictions was 63.11%, only 5.46% better than a simple standard crossover system (57.65%).
- When additional filters (like the Neural Index) were applied, the success rate increased only slightly, to 64.14%, a marginal 1.03% gain.
- Notably, the naive model outperformed VantagePoint in 16% of cases, with some markets showing differences of up to 11.6% in favor of the naive model.
#### Additional Warning:
The pricing is absurd. Packages start at $2,900 for just a single sector (out of 16). If you want all equity sectors, you’re looking at over $10,000. And that’s not all—VantagePoint’s accuracy report mentions “proprietary indicators,” but you will likely have to purchase these separately after the initial investment! Expect some aggressive upsell sales techniques once you're on the hook.
I also did some digging on forums and found troubling accounts from former sales employees. They confirmed that reps are heavily incentivized to pressure customers into giving their credit card numbers upfront, only to upsell additional products later. This is the only way to come even close to the accuracy claims advertised.
No trial? No problem? Think again. You’ll have only 14 days to cancel your purchase—no trial is offered at all. If this doesn’t scream “sketchy,” I don’t know what does.
In short, VantagePoint’s software offers, on average, minimal improvements over basic prediction models while being paired with an overpriced and aggressive sales pitch. The entire experience left me frustrated, insulted, and skeptical. If you’re considering this software, I strongly recommend you take their claims with a grain of salt and do your own thorough research before spending a dime (>$10K for any reasonable assortment of equities).
