Futures
Hundreds of contracts settled in USDT or BTC
TradFi
Gold
Trade global traditional assets with USDT in one place
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Futures Kickoff
Get prepared for your futures trading
Futures Events
Participate in events to win generous rewards
Demo Trading
Use virtual funds to experience risk-free trading
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Launchpad
Be early to the next big token project
Alpha Points
Trade on-chain assets and enjoy airdrop rewards!
Futures Points
Earn futures points and claim airdrop rewards
Investment
Simple Earn
Earn interests with idle tokens
Auto-Invest
Auto-invest on a regular basis
Dual Investment
Buy low and sell high to take profits from price fluctuations
Soft Staking
Earn rewards with flexible staking
Crypto Loan
0 Fees
Pledge one crypto to borrow another
Lending Center
One-stop lending hub
VIP Wealth Hub
Customized wealth management empowers your assets growth
Private Wealth Management
Customized asset management to grow your digital assets
Quant Fund
Top asset management team helps you profit without hassle
Staking
Stake cryptos to earn in PoS products
Smart Leverage
New
No forced liquidation before maturity, worry-free leveraged gains
GUSD Minting
Use USDT/USDC to mint GUSD for treasury-level yields
Why is it said that prediction markets are about to become the "fifth major data source"?
The traditional financial news reporting has four pillars: stock prices, trading volume, financial reports, and analyst ratings. The future fifth pillar: market prediction probabilities.
Recently, there have been major developments in prediction markets. First, Kalshi partnered with TV media such as CNN, and soon after, polymarket quickly followed.
On January 7th, Polymarket announced it became the "exclusive" prediction market partner of The Wall Street Journal and its parent company Dow Jones. Market probability data will be directly embedded into WSJ, Barron's, and other Dow Jones media @Polymarket @shayne_coplan.
Many prediction markets are collaborating with leading traditional media outlets. Is this the trend? What impact could this have on the future landscape of prediction markets?
///
Dow Jones is one of the earliest and most influential financial information providers in the United States. Most people have heard of the Dow Jones Industrial Average. Its products, such as WSJ, are symbols of credibility and often influence market sentiment, targeting financial, political, and business elites.
First, let's look at the key points of Polymarket's collaboration—
The "exclusive" clause means WSJ and all Dow Jones assets will only use Polymarket as a data source.
The scope of integration includes: embedding "prediction probability" components on the WSJ digital homepage and financial sections; Barron’s / MarketWatch / IBD will have dedicated "prediction calendars," with initial focus on earnings beat/miss probabilities for listed companies.
Dow Jones CEO Almar Latour stated: Viewing prediction markets as "real-time indicators of collective belief" can assist in risk pricing and investment decisions.
///
Why is this significant?
Endorsement by mainstream media = compliance bonus. WSJ/Dow Jones has long served institutional investors, and trusting a data source is often seen as a "compliance safety signal."
Although Kalshi has received CFTC approval to offer dollar contracts directly to U.S. users, Polymarket has taken the lead in "exclusive deep integration with top financial media."
Moreover, over the past 30 days, Polymarket's monthly trading volume exceeded $2.3 billion (according to defillama data). If the WSJ homepage module can attract 5-10% new visitors, its monthly active users and deep liquidity could potentially reach record highs.
///
Polymarket is capturing the financial print media, while Kalshi is focusing on TV financial programs.
Today’s Polymarket vs Kalshi—one is initially doing C2C with large traffic but not fully compliant; the other is licensed and focusing on legitimacy. Who will ultimately win depends on who can first perfect the underlying layers like "payment, logistics" (corresponding to fiat on-ramps for prediction markets, compliance licenses, risk control models).
No matter how the market ends, the fusion of prediction markets and global media has already sounded the horn.