I wanted to know if watching the best prediction market traders actually teaches you anything, or if it just wastes your evenings. So I picked a handful of top-ranked wallets on Polymarket and tracked every move they made for seven days.
The answer, short version: following works. Copying fast enough for it to matter does not, not with a manual setup.
I ended up rerunning the second half of the week on predict.bananagun.io, which trades the same Polymarket markets and the same odds, and that is where the workflow finally held together.
That gap between seeing a position and acting on it turned out to be the entire story. The names of the top traders on any leaderboard are public. Anyone can look.
The bottleneck is never information. It is the minutes, sometimes hours, between a screenshot and an executed trade.
How I picked who to follow
I started with a public leaderboard ranked by profit and loss and by volume, then cross-checked activity across politics, sports and crypto markets to see who traded more than one category.
Most lists like this reward one lucky call more than sustained skill, so I leaned on the guide at find and follow the top traders to separate wallets with a real track record from wallets riding a single outcome.
I settled on five wallets to watch: two politics-heavy, one sports specialist, and two that moved across categories depending on where liquidity showed up that week.
The first three days were pure manual work
Day one meant opening each wallet’s public activity feed, refreshing it by hand, and writing down every new position in a notes app.
Day two I added price at time of entry, because a position means nothing without knowing what it cost to get in.
By day three I had a spreadsheet, three browser tabs pinned per wallet, and a habit of checking my phone every twenty minutes during market hours. It worked. It also felt like a part-time job I had not applied for.
Where the copy-paste workflow broke
The failure point was never spotting the trade. It was the lag between spotting it and placing my own.
By the time I found the matching market, confirmed the side, and checked the current price and shares depth, the price had usually moved. Sometimes only a little. Sometimes enough that the trade I copied was not the trade I got.
This showed up most on Politics, Sports and Crypto markets specifically, since those categories move on breaking news, and news does not wait for you to open another tab.
This is where I switched tools, moved to Banana Predict, and tested its Copytrade feature against my spreadsheet.
Copytrade takes the proportional Yes or No position automatically when a wallet you are tracking opens one. No new tab, no manual price check, no lag while I hunt for the matching market myself.
What the top wallets had in common
None of the wallets I tracked traded constantly. The strongest performers on the leaderboard sat out far more markets than they entered.
When they did move, they moved early relative to the news cycle, not after a story had already peaked across every feed.
They also stuck to categories they clearly followed closely. The politics specialists rarely touched sports. The sports specialist ignored crypto and earnings markets entirely.
Using Wallet Tracker alongside the leaderboard let me see this pattern faster than scrolling a raw activity feed, because it isolated each address instead of mixing every trade into one timeline.
What I would do differently
I would not start with a spreadsheet again. It taught me what to look for, but it is not a system anyone can sustain past a week without burning out.
I would also bring in the Social Tracker earlier. A meaningful share of what moves these wallets shows up on X before it shows up as a position, and watching that feed in real time closes part of the gap a spreadsheet cannot.
If you want to try this yourself, the process is not complicated. Find wallets with a track record across more than one category, watch how early they move relative to news, and pick tools built to close the lag between seeing a position and taking one.
That is the actual problem worth solving. It has nothing to do with running out of names to watch.
Marcus Reid writes about gaming, streaming platforms, and digital tools for 3Zebras. A lifelong gamer with over 8 years of experience in games journalism, Marcus covers everything from Roblox codes and Blooket strategies to PC gaming mods and console comparisons. He tests every game and app he reviews firsthand and focuses on practical guides that help readers get more out of their favorite platforms. Outside of gaming, Marcus covers IPTV services, streaming devices, and cord-cutting solutions for budget-conscious users.