Trader makes $1.9 million in two weeks—how does this market prediction expert do it?

robot
Abstract generation in progress

【Blockchain Rhythm】 Recently, a trader’s performance in the prediction market has truly caught people’s attention — in just two weeks, he made over $1.9 million in profit through 108 trades.

What’s even more interesting is that his win rate remains around 59%, meaning 64 trades are profitable and 44 trades are losses. This success rate doesn’t seem particularly high, but when converted into real money, it’s a different story.

Where is his secret to profit? The main income comes from sports event predictions. These traders usually have in-depth research and insights into the outcomes of matches, allowing them to judge the probability relationships before market pricing. Once they make the right bet, on prediction platforms with sufficient liquidity, the profit margins can be quite substantial.

This case somewhat reflects the operational logic of prediction markets — information advantage and judgment are the true moats.

View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
  • Reward
  • 7
  • Repost
  • Share
Comment
0/400
CryptoMomvip
· 2025-12-28 18:40
59% win rate, 1.9 million in two weeks? How much does this guy know about sports events? I just play the prediction market casually, relying entirely on guesses, and end up losing a lot.
View OriginalReply0
FudVaccinatorvip
· 2025-12-28 16:46
A 59% win rate can still earn 1.9 million in two weeks; this guy is indeed ruthless. But I'm more concerned about whether this data can be replicated... --- Predicting sports events to cut leeks, in essence, is still about information asymmetry. How could someone who knows the inside scoop of a match possibly lose? --- Wait, is he really winning through research or just pure luck? 108 trades in two weeks, this trading frequency is a bit outrageous. --- Is the moat of prediction markets just an information advantage? I want to try too, but without insider info, who dares to move... --- Following this logic, most people will still get cut. Unless you truly have something others don't. --- $1.9 million sounds great, just want to know what his principal is. If it's 100x leverage, then it's not surprising. --- Low win rate but explosive profit per trade, this strategy is quite clever. But the risk is indeed high; one big crash and it's all gone.
View OriginalReply0
SleepyArbCatvip
· 2025-12-28 07:48
Nap warning... 59% win rate can earn 1.9 million? This guy definitely has some skills, using information asymmetry in sports events for arbitrage, much better than our blind betting.
View OriginalReply0
MidnightSellervip
· 2025-12-26 16:20
59% win rate, 1.9 million in two weeks. This guy really knows his stuff. The information gap in sports events is indeed significant; as long as you do thorough research, you can harvest the profits.
View OriginalReply0
LiquidationOraclevip
· 2025-12-26 16:19
2 million in two weeks? Bro, how did you set your stop-loss? It feels more like gambling than trading.
View OriginalReply0
ForkMongervip
· 2025-12-26 16:15
nah, 59% hit rate doing 190m in two weeks? that's just information asymmetry playing out exactly as expected—dude probably spotted market inefficiencies before consensus caught up. classic governance failure of prediction markets tbh, they haven't figured out optimal liquidity structures yet. could fork this whole thing better imo.
Reply0
WalletsWatchervip
· 2025-12-26 16:10
59% win rate, 1.9 million in two weeks? This guy might have turned sports live streaming into an art. I just want to know how he fights against the house, or is it true that there’s no house at all?
View OriginalReply0
  • Pin

Trade Crypto Anywhere Anytime
qrCode
Scan to download Gate App
Community
  • 简体中文
  • English
  • Tiếng Việt
  • 繁體中文
  • Español
  • Русский
  • Français (Afrique)
  • Português (Portugal)
  • Bahasa Indonesia
  • 日本語
  • بالعربية
  • Українська
  • Português (Brasil)