Prediction Markets to Become 2026’s Hottest Commodity. Following Binance, Charles Schwab Considers Entering Prediction Markets
Prediction markets are attracting major financial players like Charles Schwab and Binance, with Bernstein projecting $1 trillion in trading volume by 2030. Traditional institutions such as Interactive Brokers, ICE, and CME are also entering the space. Leading platforms Polymarket and Kalshi have already surpassed $60 billion in trading volume this year. While decentralized platforms like Polymarket offer broad topic coverage, regulated entities like Kalshi prioritize compliance. The CFTC is actively developing guidelines for prediction markets, indicating an evolving regulatory landscape.

TradingKey - The growing scale of prediction markets has attracted giants like Binance and Charles Schwab, with Bernstein forecasting that prediction market trading volume will reach $1 trillion by 2030.
According to Decrypt on April 17, Charles Schwab, the largest discount brokerage platform in the United States, is considering entering the prediction market. This Thursday, Charles Schwab President and CEO Rick Wurster stated during the company's first-quarter earnings call, "At some point, we might have a prediction market."
Recently, Binance, the world's largest cryptocurrency exchange, also officially joined the prediction market. On April 9, Binance announced the official launch of its prediction market, and its platform token BNB saw its price rebound slightly in response. Strictly speaking, the prediction market is not provided by the Binance entity itself; the actual provider is Predict.fun, and Binance has simply integrated it.
In addition to the two aforementioned institutions, many others such as Interactive Brokers have entered the prediction market, while Intercontinental Exchange (ICE), Cboe, and CME have also joined the wave. Heading into 2026, the prediction market has evolved from a niche crypto sector into a "strategic home field" for global financial giants.
In just the first few months of 2026, the cumulative trading volume of the world's two largest platforms, Polymarket and Kalshi, has surpassed $60 billion, exceeding the 2025 annual total (approximately $51 billion) in just one quarter. Bernstein analyst Gautam Chhugani is optimistic about the sector, believing that total trading volume this year will reach $240 billion, with annual volume potentially hitting $1 trillion by 2030.
Despite the immense potential of the prediction market, it is still an emerging sector where a mix of quality is inevitable; therefore, it is essential to be alert to potential scams. Currently, the prediction market is characterized by a standoff between "decentralized native platforms" and "traditional financial incumbents." These prediction platforms have different characteristics, as follows:
Platform Name | Core Positioning | Regulatory Background | Target Audience |
Polymarket | World's Largest Crypto Market | Decentralized / Gray Area | Crypto players, global topic followers |
Kalshi | Leader of US Regulated Entities | Strictly Regulated by CFTC | Professional traders, risk hedgers |
Robinhood | Retail Financial Gateway | Regulated Broker | Entry-level retail investors, traditional stock users |
MEXC | CEX-integrated Predictions | Exchange Internal Control | Active crypto traders |
ForecastEx | Macroeconomic Experts | Backed by Interactive Brokers | Institutional analysts, macro researchers |
If you prioritize compliance and value the legal protection of your funds, consider Kalshi or Robinhood ( HOOD ). However, the topic coverage of such platforms is relatively limited; for example, geopolitics may be excluded. Therefore, if you require a wider range of topics without restrictions, Polymarket may be more suitable.
That said, currently unregulated prediction platforms may gradually come under regulation. According to Cointelegraph on April 17, CFTC Chairman Michael Selig has clearly stated, "The agency is working to provide clarity for the crypto space, including tokenized collateral and stablecoins, while developing clear guidelines for prediction markets."
This content was translated using AI and reviewed for clarity. It is for informational purposes only.
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