The Future of Trading Platforms Is Human and Machine – Insights From Zak Westphal
Fintech has already revolutionized the trading industry. Today, platforms can deliver real-time data from around the world, run algorithmic scans on thousands of tickers in mere seconds, and even leverage artificial intelligence and machine learning to analyze the sentiment of breaking news as it unfolds. The pace and power of these tools would have been unimaginable to those trading the markets just a decade ago.
However, if you ask Zak Westphal, CEO and co-founder of StocksToTrade, about the future of trading platforms, he wouldn't discuss full automation or machines taking over for humans. He'll say it is about finding the balance, where algorithms provide speed and insights, but the core decision-making, discipline, and context are all still left to human judgment.
"The edge isn't just speed," Zak Westphal states. "It has to do with how successful we are at combining these new features and capabilities with the trader judgment."
Where automation becomes limited
For years, automation has been seen as the holy grail of trading. If algorithms can analyze faster and place trades in milliseconds, why wouldn’t we let them take over the wheel completely and remove humans from the equation altogether?
Westphal does agree that AI and algorithmic trading are incredibly effective solutions, especially since these make up a big part of the feature selection on his trading platform. These tools can evaluate more data than any one person can, continuously monitoring thousands of symbols and flagging trades in a fraction of a second. But the flaw, he says, is that these tools don't fully understand context, nor do they understand your unique strategy or risk tolerance.
"Markets move on more than just numbers," he explains. "There could be unexpected news, global shocks, or random human behavior that could flip a situation around. An algorithm may generate a buy signal, but without analytic supervision, it can lead you straight into a trap."
The last few years have made that point very clear. Pandemic disruptions, the outbreak of war, and sudden liquidity shocks have all demonstrated that no model, regardless of its sophistication, is immune to being blindsided. Pure automation alone is not enough.
Why human judgment still matters
What humans bring to the table in trading is not raw processing power, but context, flexibility, and self-control. Westphal believes these are the three attributes that enable some traders to succeed, whereas others will flame out.
"AI can tell you what is happening, and it can even give you some great insights into some of the potential triggers for the move," he says. “But it’s the human who decides what to do about it.”
That act of decision-making relies on traits and skills that machines don't possess, such as emotional intelligence, the ability to zoom out and identify larger patterns, and the self-control to walk away when the conditions aren’t right. Risk management, in particular, is an area where human oversight is non-negotiable.
As Westphal explains, "The traders who survive are the traders who can stay calm in volatility, stick to their risk limits, and always stay true to their processes." These habits can be supported by technology, but they are fundamentally human in nature. "Discipline and judgment do not come from algorithms," he adds, "they come from the trader."
Building platforms that have the best of both
With StocksToTrade, Westphal has built around this exact premise. The platform features cutting-edge technology, including algorithm-based scanners, news sentiment analysis, and artificial intelligence, all of which are integrated directly. However, the platforms that win, he believes, will also invest heavily in human-centered design, including education modules, performance tracking, and community accountability.
“The future shouldn't just be about having faster tech,” Westphal says. “It’s about creating and training a smarter generation of traders who know how to use those tools effectively.”
For example, a scanner might identify unusual trading activity, but it is the trader who must decide whether a setup aligns with their risk profile. At the same time, an AI sentiment analysis might flag sentiment in a news story, but the trader must determine whether it matters and if the markets are likely to react in a certain way.
It is clear from Westphal's vision that technology should be viewed as a co-pilot and not an autopilot. Successful platforms will be measured not only by the amount of data they deliver, but also by how well they help users make better decisions.
“Our goal is to give people guardrails, not take the wheel away,” says Zak.
What the future looks like
Looking ahead, Westphal sees trading platforms evolving into hybrid ecosystems. They will continue to add more advanced AI capabilities that will help traders detect more subtle signals, as well as process a significant amount of information with real-time data.
However, he believes that the platforms that will win over the long run will also be the ones that prioritize human-centered design through the inclusion of features such as educational modules, performance tracking, and even community accountability.
He predicts that in the coming years, successful platforms will be measured not only by the amount of data they deliver, but also by how well they help users make better decisions. That means reinforcing discipline, evaluating risk, and providing context beyond the pure numbers.
Final word
To Zak Westphal, the argument that AI will replace traders misses the mark. The future of fintech is not a debate about humans versus machines. The future of fintech will be determined by how the two work together.
Machines offer speed, scale, and tireless analysis. Humans excel with judgment, discipline, and adaptability. Put them together, and you have a platform that not only allows people to trade faster but also helps them to make smarter, more sustainable decisions.
