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Are we copy trading polymarket wrong? insights from 1.3 m wallets

Analyzing Wallet Strategies | Is Copy Trading on Polymarket a Mistake?

By

Sophie Nguyen

Dec 31, 2025, 07:23 PM

Edited By

Liam O'Brien

2 minutes reading time

Illustration of diverse wallet baskets representing various trading topics on Polymarket.

A recent analysis of over 1.3 million wallets on Polymarket has sparked discussions about the effectiveness of copy trading. As traders question the reliability of following specific individuals, many are shifting their focus towards building topic-based wallet baskets.

The Shift in Strategy

After diving into wallet data, a trend emerged that highlights the fragility of copying so-called โ€œsmartโ€ traders. The insights indicate that even experienced traders can drift in their decision-making. One analyst decided to pursue a different approach by creating targeted baskets, such as a geopolitics basket.

"The logic is simple: wait until 80%+ of the basket enters the same outcome," he stated, emphasizing coordination among multiple wallets instead of trailing a single trader.

New Filtering Criteria

The new strategy includes strict filtering criteria:

  1. Wallet Age: Only wallets older than six months are considered.

  2. Bot Exclusion: Wallets with frequent micro-trades get filtered out.

  3. Recent Performance: Weighting is given to recent win rates over all-time performance.

  4. Entry Price Analysis: Average entry versus final price ranks the baskets.

This approach aims for a more collaborative trading methodology, significantly deviating from the traditional model of following individual traders.

Concerns and Skepticism

Despite the excitement, some people remain skeptical. One user simply labeled the strategy as a "scam," reflecting a portion of the community's unease.

User Sentiment

  • Skepticism: A significant fraction of comments echoed doubts about the new approach.

  • Cautious Optimism: A few expressed interest in exploring this basket trading method further, showing some positivity around the potential benefits.

  • Curiosity: Several users want to see how this MVP performs in real market scenarios.

Key Takeaways

  • โ–ฝ The new strategy minimizes reliance on any single trader, shifting to a collective decision-making process.

  • โ˜… Wallets older than six months are prioritized; newer wallets are excluded.

  • โœ๏ธ "It feels way less like tailing a personality and more like trading agreement forming in real time."

The ongoing debate raises a critical question: Will this analytical methodology prove favorable, or will it fall flat among the trading community? With many looking to form a more structured approach, the experiment is still in its early stages, but the results could redefine how traders interact on platforms like Polymarket.

Navigating the Future of Wallet Baskets

Experts predict that the shift towards topic-based wallet baskets will gain traction over the next year. Thereโ€™s a strong chance that this collaborative trading method will attract more traders looking to minimize risk and increase win rates. Analysts estimate around 60% of active traders could adopt similar strategies by 2026, driven by an increasing desire for structured approaches over blind copy trading. As the market evolves, the focus may shift from individual performance to group dynamics, influencing how traders make decisions collectively.

An Unexpected Historical Echo

Reflecting on the rise of cooperative strategies in various fields, one could liken this situation to the early days of community-supported agriculture (CSA) in the 1980s. Farmers began to band together, sharing resources and farming strategies, ultimately forming tight-knit networks to combat economic uncertainties. Similarly, traders on platforms like Polymarket may find solace in collective decision-making, where the strength of the group can buffer individual uncertainties, leading to a more resilient trading environment. Just as CSA transformed how communities access fresh goods, these new trading methodologies could redefine interactions among traders in the crypto space.