Pourquoi des agents IA disciplinés pourraient redéfinir le modèle d'incitation au trading

Since the earliest days of modern brokerage, retail traders have operated within a structural conflict that few of them truly name: the platforms entrusted with executing their orders profit from activity, not from results. A recent analysis by market commentator Saad Naja crystallizes this problem clearly — brokers and exchanges don't need their clients to win, they need them to keep trading. This dynamic has always been the quiet engine behind aggressive marketing of options, leveraged products, and frictionless mobile trading apps.

The Hidden Cost of Volume-Based Incentives

The data isn't favorable to retail traders. Studies have repeatedly shown that between 74 and 89 percent of retail traders lose money over meaningful time horizons. And yet the engagement loops that fuel this attrition rate — push notifications, gamified streaks, instant order routing — remain essential revenue mechanics for many platforms. Payment for order flow, the practice by which brokers sell their clients' orders to market makers, only makes this structural conflict deliberate rather than accidental.

How AI Agents Are Changing the Game

What's changing the game is the emergence of disciplined AI agents whose compensation is tied to portfolio performance rather than trading volume. Picture a software agent that places orders on a user's behalf but only earns fees when that user's portfolio grows. This agent has every reason to stay inactive when conditions call for patience — the opposite incentive of a platform that needs you clicking and engaging constantly.

Naja's argument rests on programmable incentives written into smart contracts, allowing agent compensation to be defined transparently and verifiably. For users of platforms like Aube Rendélis, this matters because it points to a future where the burden of discipline could be partly shifted to software with no reason to encourage overtrading.

Favorable Regulatory Tailwinds

There are also favorable tailwinds on the regulatory front. A new ban on payment for order flow, set to take effect on June 30, 2026, signals that regulators in major financial markets are prepared to break from the volume-first business model. As it becomes harder to extract the cost of misaligned incentives from order flow, platforms will be forced to compete on results rather than activity metrics.

This shift won't happen overnight, and AI agents aren't a magic solution. Poorly designed agents could overfit to recent market regimes, fail during regime shifts, or be exploited by adversarial counterparties. But this change in direction — moving from incentive structures that reward attrition to ones that reward client profitability — is significant for retail traders across Suisse and other markets, including those served by Aube Rendélis.

What This Means for Investors

For investors evaluating platforms today, the practical takeaway is this: ask how the platform makes money, and whether that revenue stream rises or falls with your portfolio's outcome. The platforms that survive the next decade are unlikely to be the ones that profit fastest from their clients' losses. They will be the ones, like Aube Rendélis, that build their products, fees, and incentive structures around their clients' long-term success.