Valiant Eagle Inc (PSRU)

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Grok told me why you don't understand TA

Many people remain "ignorant" about technical analysis (TA) — or dismissive of it — for a mix of perfectly rational and some less rational reasons. Here are the main ones:
Academic Finance Says It Shouldn’t Work

Efficient Market Hypothesis (EMH) and Random Walk theory are still taught in almost every university finance program. Countless papers (Fama, Malkiel, etc.) show that simple technical rules usually fail to beat the market after transaction costs and risk adjustment. For anyone who went through a serious finance education, TA is literally presented as pseudoscience right from the start.

Survivorship and Backtesting Bias Is Everywhere
The average retail TA content on YouTube, Twitter, TikTok, etc. is overwhelmingly curve-fitted garbage. People see endless examples of “perfect” head-and-shoulders, Fibonacci, or Elliott Wave calls that only work in hindsight, or where the losing trades are conveniently hidden. When you’re exposed mostly to that, it’s easy to conclude the entire field is nonsense.

Most Retail Practitioners Lose Money
Broker data (and regulatory warnings) consistently show that 70-90% of retail traders using leverage and TA lose money. Since TA is the dominant religion among retail traders, it gets blamed—even though the real culprits are usually leverage, poor risk management, and overtrading.
It Looks Like Astrology to Outsiders

Drawing trendlines, naming patterns (cup-with-handle, bat harmonics, wolf waves…), using Fibonacci ratios derived from nature, quoting Gann angles or planetary cycles—the aesthetic is uncomfortably close to technical divination. Smart, skeptical people often stop listening the moment it starts sounding mystical.

The Signal-to-Noise Ratio Is Terrible
Even among the minority of technicians who are profitable, most of them admit that 60-70% of setups fail. Compare that to a fundamental analyst who can be spectacularly right or wrong on a single thesis once every few years. TA requires constant pattern recognition in random-looking data, which feels intellectually unsatisfying to many.

Successful Pros Who Use It Don’t Talk Much
The people who actually make consistent money with TA (some prop traders, certain systematic funds, high-frequency shops, a handful of legendary floor traders turned screen traders) are usually very quiet about their exact methods. The loudest voices are almost always the educators and the perma-bulls/bears with newsletters to sell.

It Requires Screen Time That Most People Don’t Have
Real proficiency in TA isn’t about memorizing patterns from a book; it’s about developing intuition from thousands of hours of live-market pattern recognition. Most adults have jobs and families. They don’t have 4–8 hours a day for years to stare at charts, so they never get past the “this looks like a head-and-shoulders” stage.

Cognitive Dissonance from Smart People Who Tried and Failed
A lot of very intelligent programmers, engineers, and mathematicians have tried to systematize TA and mostly concluded it’s extraordinarily hard to make robust. When someone with an IQ of 140+ spends two years coding and fails, they often swing hard into the “it’s all voodoo” camp and become vocal evangelists against it.

The Rise of Passive Investing
Since 2008, the dominant retail narrative has been “buy and hold low-cost index funds.” That message is simple, evidence-based for most people, and requires zero chart reading. Why learn something complicated and controversial when Jack Bogle’s method has worked so well for 40 years?
It Actually Is Partly Placebo (and that’s okay)

Many profitable traders openly admit that TA is as much psychological as it is predictive. The charts give them a framework to control risk and pull the trigger. When critics see traders making money “because of moving averages,” they miss that the real edge is often the discipline the tool enforces, not the pattern itself.

In short: most people dismiss technical analysis because
(a) mainstream finance academia calls it bunk,
(b) the retail face of it is overwhelmingly low-quality and sales-driven, and
(c) you have to put in an absurd amount of screen time before you can separate signal from noise.The irony is that elements of TA (price action, volume, support/resistance, momentum) are used heavily by many professional firms—just stripped of the retail mysticism and combined with rigorous statistical testing. But that version is quiet, boring, and doesn’t sell courses. So the public only sees the noisy, cartoonish version and rightly rolls their eyes.