What Do Prediction Markets and Meme Coins Have in Common?

Prediction markets and meme coins may seem different on the surface, but their trading psychology is highly similar. By focusing on data noise, following smart money, and reviewing settled bets, a research methodology for event trading can be established.

Written by: @blocmates

Compiled by: AididiaoJP, Foresight News

Prediction markets and meme coins appear to be two distinct trading scenarios. One bets on whether events will occur, while the other bets on narratives, attention, and emotions. However, the same type of trader can employ similar methods in both markets.

Hunters do not shoot arrows randomly. The practice of 14th-century Nordic hunters was to plan, observe, choose tools, and then act. The same applies to prediction markets and meme coin markets.

There are several commonalities between the two.

Firstly, the common denominator in both markets is the traders. Mature traders continuously seek advantages, and one of the market's roles is to conceal those advantages. Traders with a higher degree of systematization are more likely to maintain an edge amidst the noise.

Secondly, prediction markets are essentially meme coins with probabilities. Meme coins are built on narratives, attention, and speculation. Prediction markets operate similarly, except users are betting on whether something will happen.

Will Bitcoin reach $150,000? Will the Federal Reserve cut interest rates? Can Chelsea win the Premier League?

A market quote of 0.55 indicates that the market assigns a 55% probability to that outcome. Like meme coins, prices fluctuate with news, attention, whale movements, and retail panic. While the market forms differ, the underlying psychological mechanisms are similar.

Thirdly, information overload is a common issue faced by inefficient traders in both types of markets. There is always the next narrative, the next market, the next opportunity. It is easy for people to mistake "always moving" for "making progress." The more one browses, the more it feels like trading; however, truly effective decision-making may not increase.

Mature traders filter out noise systematically, identify unusual activities early, and wait patiently. Not every market needs to be participated in, nor does every fluctuation need to be chased.

Taking PolymarketScan as an example, one can study prediction markets using methods similar to those in meme coins.

How to Use PolymarketScan for Prediction Markets

First, filter out noise and lock onto a market

The first step is to filter out noise.

Meme coin traders use FOMO or Axiom to scan thousands of tokens. Prediction market traders also need to narrow their focus. Otherwise, opening the platform reveals a screen full of events, quickly draining attention.

PolymarketScan can filter markets using multiple data points, such as:

• Trading volume
• Liquidity
• Smart money
• Probability changes
• Deadline
• Time until settlement
• Recent activity

With these filters, one can first answer a specific question: which markets currently have substantial transactions, sufficient liquidity, and are worth immediate attention?

Filters can include:

• Sudden probability shifts
• Abnormal trading volume
• Approaching settlement dates

One can also narrow down by category, manually search, or use AI mode. First, reduce the scope, then make judgments.

Establishing Judgments

After locking onto a market, the next step is to see what the price is expressing.

Price movements indicate changes in outcome probabilities or directions. If a market rises, it suggests traders are re-pricing that outcome. The key is not whether it has "gone up," but whether this re-pricing is justified.

At this point, focus on two things.

Whale activity. Check whether this fluctuation is supported by real large orders, whether big positions are entering or exiting. This also helps determine whether the market is thin. Thin markets are more sensitive to individual trades and whale movements, making prices easier to manipulate and potentially misleading.

A single whale transaction can serve as a research starting point, but the size of the transaction alone does not prove that the counterparty has better information. Large orders only indicate someone is willing to pay, not that this person is necessarily correct.

Trader profiles. A more effective method than simply focusing on whales is to further analyze specific traders.

In the meme coin space, FOMO leverages similar logic to drive social trading. Prediction markets are no different: check wallet histories, which markets they have participated in, and the performance data available.

If a large position is seen in a certain wallet, one can check:

• What markets do they usually trade?
• Have they participated in similar events before?
• How did their settled positions perform?
• Is this position part of a larger strategy?

Before following, clarify whether the counterpart is someone who consistently profits in that category or just made a large bet this time.

Follow Smart Money

Those familiar with meme coin trading often emphasize smart money: focusing on early entries, repeated actions, and capital flows.

Prediction markets also have the same research angle. PolymarketScan's Whale Radar and leaderboards can help identify wallets and traders worth tracking.

To truly narrow down the scope, one still needs to establish their own watchlist and set alerts. The list is not a collection but a filter.

You can select your own or use publicly available watchlists. Currently, there are over 290 public lists. Even so, it is recommended to create a separate list based on categories of interest. Political markets, sports markets, macro markets—smart people are not always the same group.

The method for establishing a watchlist is as follows:

• Identify active wallets or traders
• Open profiles and review histories
• See which markets they are currently engaged in
• Compare with your own research to determine if there is incremental information
• Decide whether to add them to your list

Once added, continue to observe: whether the wallet still maintains an edge in the original category or has switched to a different strategy.

Don’t Ignore Settled Markets

Mature traders do not only look at unsettled markets; they also review closed historical data.

In the meme coin space, there is often a saying: a certain coin previously surged to X million in market value, so this time the ceiling is likely at Z. History does not always repeat, but it provides a reference.

In prediction markets, settled markets can be used to see how prices moved, how transactions were distributed, and how traders performed (if the platform has records). This type of review is often more solid than chasing a brand new narrative.

You can look for these patterns:

• How probabilities change as events approach
• When significant fluctuations occur
• How trading volume behaves before settlement
• Differences in wallet behavior across categories
• How much the early pricing differs from the final outcome

PolymarketScan's research function is designed for this type of pattern analysis. You can directly search for keywords or use market phrases from settled markets. If you don’t want to sift through yourself, you can let AI assist.

The purpose of reviewing is not to prove that you should have bought at the time, but to understand when the market typically overprices and when it starts to incorporate key information.

Conclusion

Prediction markets may seem different from meme coins, but there is overlap in trading mentality.

It is necessary to filter out noise, identify meaningful activities, understand narratives, find a reason to enter, and then take action. Tools can make research more structured, but they cannot bear the results for you.

Products like PolymarketScan integrate scanning, whales, profiles, and historical markets into the same process. However, uncertainty does not disappear as a result. Ultimately, you still need to place orders yourself: funds can be deployed automatically or through traditional manual operations.

Strategy is superior to aimless actions.

It also cannot cover all markets. The goal should be to establish a repeatable process that keeps the win rate within an acceptable range.