What is Gamification?

The official Oxford definition is “the application of typical elements of game playing (e.g. point scoring, competition with others, rules of play) to other areas of activity, typically as an online marketing technique to encourage engagement with a product or service.”

But essentially it is the use or application of design elements from games, such as point systems, leaderboards, badges, and challenges in non-game scenarios in order to drive interest, usability, and engagement. When looking at how it is used in investment we look at a few similar aspects and a few differences.

Some investing apps have gamified elements such as points, leaderboards, badges, and challenges and festive animations such as confetti. But they have also utilized choice engineering by including aesthetically pleasing interfaces, push alerts, and even news articles that are targeted at the user to promote and encourage trading. Along with Rewards, competitive elements, and interactive simulations that help them practice before trading in the real world. All of these elements are designed to boost financial literacy and to simplify investing making it more accessible, although these elements can also lead to excessive trading, riskier trading decisions, and impulsive decisions, especially for younger users.

Some benefits of the Gamification of investing include

  • Education(Increase in financial literacy)
  • Engagement increase

But, some downfalls of Gamification of investing could include

  • Increased risk taking
  • Short term behaviour(Leaderboards can make users prioritize short term goals)

Loss aversion framework is a behavioural economics concept where the pain that one feels when losing is around twice as powerful or impactful as the pleasure of gaining a similar amount.

Now that we understand what the Loss Aversion Framework is and what Gamification of Investment is we can look at how they affect equity trading. 

Traditional Prospect Theory, created in 1979 by Daniel Kahneman and Amos Tversky proposes that loss aversion acts as a mental constraint, lowering the amount of trading, but the rise of digital brokerage interfaces has introduced an opposing force which is gamification. 

The rest of this article will look at the everlasting conflict between the psychological pain of financial losses and the dopamine filled reinforcement of reward points. In the remaining part of this article I will argue that Gamified investment apps effectively override loss aversion thinking and barriers. Leading to close to a 40% increase of trading frequency across all age groups which can be both good and dangerous.

The normal economic model of the rational actor assumes that all decision are made with the mitigation of risk and the most utility provided, but the gamification of investment has introduced a new factor, hedonic utility. In some modern investing apps, trading itself has become a consumable good instead of an asset. 

Loss aversion dictates that emotional pain that is caused by financial loss is normally twice of the satisfaction gained from an equivalent gain. In conventional investing done by retail investors, constantly checking portfolios also known as myopic loss aversion, normally acts as a self-protective barrier. This is because as investors check their portfolios more regularly, and because stocks often fluctuate, they see the short term change(negative) at times. This increases the probability of seeing a down day. And because they feel and are impacted by the loss more then the potential long term gain, they often hold stocks. This is due to the fact that the impact of seeing losses triggers anxiety and this pain acts as a self protective mechanism. To avoid feeling this pain again, the retail investor firstly decides to stop taking risks, he then decides to “do nothing” instead of panicked selling, this is due to the fact that by holding the loss “is not real”, the retail investor might also switch to less risky stocks or to less risky assets as a whole such as bonds. While critics do argue that frequently checking could also cause panicked selling and further losses, the alternative is that the investor is in paralysis, this is as they become reluctant to trade and lose further and might stop trading entirely, resulting in a hands-off portfolio.

In contrast to the complete brake of the loss aversion framework, fintech apps use similar mechanisms to slot machines, a concept known as Variable Ratio Reinforcement. In B.F. Skinner’s experiments, animals  consistently pressed a lever if they got food rewards at unpredictable times, rather than every single time. In a similar manner, fintech apps use the same method, giving users unpredictable rewards, and like the animals in the experiment, users keep trading, hoping that they get a good reward, making the behaviour very difficult to stop. Therefore apps shift the utility for their customers away from actually making monetary gain and towards hedonic utility, this results in the investment experience becoming similar to a game which is very dangerous to the average retail investor. This method makes the brain focus on immediate satisfying results(like getting a badge) instead of the actual possible monetary loss. By focusing on streaks, etc. these fintech apps are able to bypass the part of the brain that warns us of potential danger(including monetary loss) by utilizing dopamine filled, impulsive needs to continue the streak, etc.

The current research suggests that gamification is not just a fun addition, it is structural override of the systems in place. When a retail investor is presented with a loss(down $500) the natural instinct is to retreat, but if the app immediately presents a rewards of some sort(make a trade today to maintain your streak), the brain prioritizes the immediate reward over the thing that is better long term. 

The influence of reward points is starting to consistently outweigh the effects of the loss aversion framework, and this shift suggests that the future of retail investing might be less about “wealth managing” and more about “Reward management”. And if this is the case it begs the question, if the interface built can override the instinct of self preservation, then is the free market model that we know no longer actually free, and is it programmed?

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Last modified: April 4, 2026

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