Crypto Platforms Accelerate Push Into Traditional Finance with Options and Prediction Markets

1 hour ago 1 sources neutral

Key takeaways:

  • Stablecoin-based options trading boosts USDT/USDC utility beyond crypto, reinforcing their systemic role.
  • Talos-Kalshi integration may catalyze institutional demand for regulated crypto prediction platforms.
  • BIT’s risk-managed expansion signals industry maturation, attracting cautious capital to crypto-native brokerages.

The convergence of crypto-native platforms and traditional financial markets took two significant steps forward this week. BIT Brokerage, originally a digital-asset specialist, launched U.S. stock options trading, while institutional trading infrastructure provider Talos integrated prediction market exchange Kalshi into its platform. Both announcements reflect a broader structural shift: crypto firms are becoming multi-asset brokerages, and prediction markets are gaining institutional credibility alongside established derivatives.

BIT Brokerage’s new service allows clients to trade long call and long put options on approximately 2,000 U.S.-listed companies. The firm offers zero commissions on both buy and sell orders, with a platform fee of $0.30 per contract and a minimum order fee of $0.99 — roughly half the average charged by many retail brokers. However, the initial rollout only supports options buying. Selling options and multi-leg strategies will be added in later phases as the platform validates its risk management systems.

“Options are, at their core, a risk management tool rather than a purely speculative one,” said Elio Cui, Head of Brokerage at BIT. “Starting with options buying reflects our commitment to helping users fully grasp the underlying risk dynamics before moving into more complex strategies.”

BIT already provides access to over 10,000 U.S. stocks and ETFs, and notably allows stablecoin deposits and withdrawals via USDT and USDC alongside traditional bank transfers. The options launch follows the earlier introduction of margin trading, signaling a methodical expansion toward a full-featured brokerage.

In a separate but parallel development, Talos integrated Kalshi — the first CFTC-regulated prediction market exchange — into its institutional execution management system. This enables hedge funds, market makers, and professional trading firms to trade event contracts and US-regulated crypto perpetual futures using the same infrastructure they use for digital assets. Talos is also extending its algorithmic execution suite to Kalshi, offering tools like Iceberg, Pegged, Time-Weighted Average Price, and Sniper algorithms, which have been largely absent from retail-oriented prediction markets.

“As institutional interest in prediction markets accelerates, Kalshi’s regulatory standing makes it a natural venue for that demand,” said Andy Ross, Head of Institutional at Kalshi. “Working with Talos gives our institutional buy-side and sell-side participants a path to Kalshi that fits inside the infrastructure they already run.”

Talos is further expanding institutional access through block trading via request-for-quote (RFQ) systems and plans a harmonized market data feed across multiple prediction venues to solve fragmentation. The involvement of Wall Street firm Cantor, which advised Talos on the build-out, underscores that prediction markets are increasingly viewed as a legitimate asset class. Matt DeCicco, Managing Director at Cantor, noted that firms engaging early “will help shape the market structure, liquidity and execution standards.”

Together, these moves illustrate a dual trend: crypto-native platforms like BIT are building the breadth traditionally associated with brokerages, while infrastructure providers like Talos are bridging prediction markets and traditional capital markets. Stablecoins are quietly becoming settlement rails, and options — once deemed too complex — are entering the retail mainstream. As the distinction between crypto and traditional finance continues to blur, multi-asset ecosystems are quickly becoming the new normal.

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