Written by: Blocmates
Compiled by: AididiaoJP, Foresight News
Prediction markets and meme coins appear to be two different trading scenarios. One side bets on whether an event will happen, while the other bets on narrative, attention, and sentiment. But traders of the same type can use similar approaches in both markets.
Hunters don’t just randomly fire arrows. In 14th-century Nordic hunting practices, they would plan first, then observe, choose the tools, and only then make their move. Prediction markets and meme coin markets work the same way.
Both have a few things in common.
First, the common denominator between the two markets is the traders themselves. Seasoned traders continuously look for an edge, and one of the market’s roles is to conceal that edge. Traders with a higher level of systematicness are more likely to maintain an advantage amid noise.
Second, prediction markets are essentially probabilistic meme coins. Meme coins are built on narratives, attention, and speculation. Prediction markets are the same—users are just betting on whether something will happen.
Will Bitcoin reach $150,000? Will the Fed cut rates? Can Chelsea win the Premier League?
An order book quote of 0.55 means the market assigns a 55% probability to that outcome. Like meme coins, prices change with news, attention, whales, and retail panic. The market structures are different, but the psychological mechanisms underneath are similar.
Third, information overload is a common problem for two types of inefficient traders: there is always the next narrative, the next order book, the next opportunity. People easily confuse “always moving” with “making progress.” The more you browse, the more it feels like trading; truly effective decisions don’t necessarily require more.
Mature traders filter out noise through systems, identify abnormal activity early, and wait patiently. Not every order book needs to be involved, and not every fluctuation should be chased.
Taking PolymarketScan as an example, you can research prediction markets by following the meme coin approach.
How to use PolymarketScan to make predictions
First, cut out the noise and lock onto a specific order book.
The first step is to filter out noise.
Meme coin traders may use fomo or Axiom to scan thousands of tokens. Prediction market traders also need to narrow the scope. Otherwise, when you open the platform, it’s full of events—your attention will be drained first.
PolymarketScan can filter order books using multiple data points, for example:
Trading volume
Liquidity
Smart money
Probability changes
Deadline
How long until settlement?
Recent activity level
Using these filters, start by answering a concrete question: which order books currently have real trades, enough liquidity, and are worth checking right away?
You can filter by:
Probability suddenly shifts
Abnormal trading volume
Getting close to settlement day
You can also narrow the scope by category, search manually, or use an AI mode. Shrink the range first, then make your judgment.
Build your judgment
Once you’ve locked onto an order book, the next step is to see what the price is expressing.
Price movement implies a change in the probability or direction of the outcome. If the order book moves upward, it means traders are re-pricing that result. The key isn’t “did it go up,” but whether this re-pricing has a basis.
At this point, focus on two things.
Whale activity. Check whether this volatility is supported by genuinely large orders—are big positions flowing in, or flowing out? You can also judge whether the order book is thin. Thin order books are more sensitive to individual trades and whales: prices are easier to push around, and also easier to mislead.
A whale trade can serve as a starting point for research, but the size of a single trade alone doesn’t prove the other party has better information. Large orders only show that someone is willing to pay—it doesn’t mean that person is definitely right.
Trader profiles. A more effective method than simply focusing on whales is to further analyze specific traders.
In the meme coin space, fomo is what drives social trading using similar logic. Prediction markets are the same: check wallet history, which order books they’ve participated in, and the performance data you can obtain.
If you see a wallet placing a large position, you can check:
Which order books do they trade in their day-to-day activity?
Have they done similar events before?
How did the settled positions perform?
Is this position part of a larger strategy?
Before copy-trading, first make sure whether they’ve repeatedly been profitable in that category, or whether they’re just making a very large bet this time.
Follow the smart money
People familiar with meme coin trading usually care about smart money: watch for early entries, repeat behavior, and fund flows of wallets.
Prediction markets have the same research perspective. PolymarketScan’s Whale Radar and ranking lists can help you find wallets and traders worth tracking.
To truly narrow the scope, you still need to build your own watchlist and set reminders. A list isn’t a bookmark—it’s a filter.
You can choose your own list, or use already published watchlists. Even so, it’s still better to build separate lists by the categories you care about: politics, sports, macro—smart people aren’t always the same group.
The method is as follows:
Find active wallets or traders
Open the profile and review history
See which order books they’re working on
Compare with your own research to determine whether there’s incremental information
Decide whether to add them to your watchlist
After you add them, you also need to keep observing: does this wallet maintain its advantage in the same category, or has it switched to another style of trading?
Don’t ignore already-settled order books.
Mature traders don’t only look at open order books; they also review closed historical data.
In the meme coin space, there’s a common saying: a certain coin once surged to an X-million-market-cap, so this time the ceiling is probably Z. Past performance doesn’t have to repeat, but it provides a reference.
In prediction markets, settled order-book quotes can be used to see how prices moved, how volume was distributed, and how traders performed (if the platform records it). These post-mortems are often more solid than chasing a completely new narrative.
You can look for these patterns:
How does probability change as the event approaches?
When do big swings happen?
What was the trading volume before settlement?
How do wallet behaviors differ across categories?
How far off was the early pricing from the final outcome?
The research feature of PolymarketScan is designed for this kind of workflow. You can search directly with keywords, or search using the market phrases from settled order books. If you don’t want to scroll through everything yourself, you can also have the AI help.
The purpose of a post-mortem isn’t to prove that you should’ve bought back then, but to clarify: when does the market usually overprice something, and when does it finally start pricing in the key information?
Conclusion
Prediction markets look different from meme coins, but there’s overlap in trading mindset.
You need to filter out noise, identify meaningful activity, understand the narrative, find a reason to enter, and then take action. Tools can make research more structured, but they can’t do the work of producing results for you.
Products like PolymarketScan put scanning, whale data, profiles, and historical order books into one workflow. But uncertainty won’t disappear. You still have to place orders yourself: funds can be automatically deployed, or you can use traditional manual trading.
Strategy beats aimless action.
And you can’t cover every order book. The goal should be to build a repeatable process and keep your win rate within a range you find acceptable.