This content originally appeared on HackerNoon and was authored by Olayimika Oyebanji
Studies have shown that the vast majority of retail traders lose money over time. Do traders need better tools or is trading the biggest myth ever sold to society as Yale ReiSoleil argued? Amid a crowded market of trading tools promising better outcomes, quantitative analysis platforms are positioning themselves as a more data-driven alternative to traditional technical analysis.
In a bid to gather insights into retail trading behavior, quantitative tools, and the debate between active trading and passive strategies, Olayimika Oyebanji sat down with Ivan Patriki, founder of QuantMap, to examine probabilistic market mapping and the practical realities of using such tools.
Hello Ivan, can you briefly tell the readers about yourself and your professional background?
My quick life story: Since I was very young, I have always had this ambition of becoming extremely successful, and changing the world. At 17 I started my first company, Amora Media, as a marketing agency. Once I saw how the course-selling and finance industry worked, I decided to create content myself and make myself successful.
Working across the marketing long enough, it is easy to notice a consistent gap between how trading products are portrayed and what they actually deliver to users. I wanted to build something that closed that gap, which is a tool grounded in probabilistic, predictive modeling, compared to the discretionary ICT type of trading that most retail traders are doing.
With AI and machine learning becoming more accessible, what concerns do you have about the next wave of retail trading tools?
The concern is confidence calibration. AI makes it easy to produce outputs that look authoritative, and social media makes it easy to amplify that perceived authority. A retail trader gets a signal with a percentage attached to it, it looks precise, and these fintech marketers and influencers can condition people to trust them, without understanding the underlying model. As a result, we are going to see a wave of genuinely sophisticated tools marketed in ways that ostensibly look great, but it’s important that the people that consumers look up to are actually financially literate. Otherwise, the space is going to get even worse.
Do you consider trading a zero sum game or an activity that requires more advanced tools?
In the short term, leveraged and derivatives products are functionally zero sum. Someone is always on the other side, and they are usually better than you at trading.
But here is what marketers almost never say: more sophisticated tools don't change the underlying math unless they are genuinely improving your edge over a statistically meaningful sample. Retail traders never measure this rigorously. They feel like a better tool is helping because a few trades went well, but that's just recency bias. I think the industry owes people that honest framing a lot more than it currently delivers.
Even with access to advanced quantitative data, what behavioral and psychological issues tend to persist among traders?
I have noticed that confirmation bias is often more significant than sophisticated setups. Traders find ways to interpret probabilistic data in the direction they already want to trade. A lot of people end up using more-and-more complex solutions to justify decisions that were originally way simpler, purely because of their emotional attachment to it. Unfortunately, even advanced tools help users that the tool validates their initial instincts.
Do you believe the typical retail trader is better served by frequently using sophisticated probabilistic tools, or would many be better off trading less often?
It’s both. You need the proper data visualization software because without it - you’re trading blind. On the other hand, trading less as well is almost always the underrated answer. And if you’re trading to improve your skills, and want to trade more, you need to lower your position sizing. That’s exactly what was done during the Iran-US conflict. But honestly, overtrading with any system isn’t recommended. There’s emotional decision fatigue, and the lower time frame you are, the higher chance of a loss. What’s better? Trading twice a day and winning both? Or trading 14 times a day and winning/losing half.
What are the biggest risks or downsides you see with retail traders adopting more complex quantitative analysis platforms?
Over-optimization is the one I’ve seen a lot of people struggle with. The issue is, when traders start to overcomplicate what the math already simplifies. Regarding more complex quantitative platforms, there’s an issue regarding genuine quant literacy. Most of them are so archaic and complex, unless you have a ivy-league institutional background, you’ll start pattern-matching on outputs they don't fully understand.
Regulatory studies consistently show that most retail traders lose money. Do tools that provide advanced probabilistic analysis and historical data help improve long-term outcomes for the average user?
One of the worst things that marketers do is convince normal people that they can have exceptional results while remaining a normal person, and I am very opposed to that. By default, a tool that visualizes quantitative data can improve your outcomes, but only if the user has the discipline to follow the process consistently and follow the right system. Most retail traders don't stick around long enough to generate meaningful data before walking away.
The answer is yes, but if you intend on being a normal person, and don’t intend on working hard it’s not worth it to even try.
How should someone realistically evaluate whether a quantitative analysis tool is actually improving their results over time?
Two things. The first is to look at the people behind it. Are these people you can trust? Have they scammed or rugpulled people before? Are they actually good at trading? Are they trading live? and secondly, look at the results of other people that use the system. Then when you learn to use the system, keep a journal, record your reasoning at entry, and after 50-100 trades compare outcomes where you followed the software versus when you didn’t.
This content originally appeared on HackerNoon and was authored by Olayimika Oyebanji
Olayimika Oyebanji | Sciencx (2026-05-19T03:25:15+00:00) Retail Trading Tools versus Market Realities: Interview with QuantMap Founder Ivan Patriki. Retrieved from https://www.scien.cx/2026/05/19/retail-trading-tools-versus-market-realities-interview-with-quantmap-founder-ivan-patriki/
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