Myriad became the first prediction market integrated directly into Trust Wallet's new Predictions feature, giving it access to 220 million users. The integration comes after Myriad reached $100 million in trading volume with 400,000 active traders. Trust Wallet plans to add Kalshi and Polymarket to create an aggregated prediction market hub. The move reduces friction for users while positioning wallets as full-featured financial platforms beyond basic asset storage. Success depends on sustained engagement rather than event-driven volume spikes.Myriad became the first prediction market integrated directly into Trust Wallet's new Predictions feature, giving it access to 220 million users. The integration comes after Myriad reached $100 million in trading volume with 400,000 active traders. Trust Wallet plans to add Kalshi and Polymarket to create an aggregated prediction market hub. The move reduces friction for users while positioning wallets as full-featured financial platforms beyond basic asset storage. Success depends on sustained engagement rather than event-driven volume spikes.

How Myriad and Trust Wallet Built the First Native Prediction Market for 220M Users

\ Trust Wallet just made this possible by integrating Myriad as the first prediction market built directly into its interface, potentially changing how millions interact with event-based trading.

\ The integration arrives as Myriad crossed $100 million in cumulative trading volume, marking a tenfold increase over three months. With more than 400,000 active traders executing 6.3 million trades, the platform enters Trust Wallet's ecosystem at a point of genuine momentum rather than speculative promise.

\

The Wallet-Native Prediction Market Model

Trust Wallet launched a new Predictions tab that aggregates markets from multiple platforms into a single interface. Users can now browse and trade on outcomes across crypto, politics, sports, entertainment, and global events without downloading separate applications or managing multiple accounts.

\ The feature positions Myriad markets first in the interface, with plans to expand to Kalshi and Polymarket. This aggregation approach differs from the standalone app model that has defined prediction markets until now. Instead of forcing users to navigate between platforms, Trust Wallet creates a unified access point for tokenized outcome markets.

\ Eowyn Chen, CEO of Trust Wallet, explains,

\

\

\ Trust Wallet serves more than 220 million users globally, making it one of the largest self-custody wallet platforms. For Myriad, this integration provides distribution at a scale that standalone prediction market apps struggle to achieve. The platform doesn't need to convince users to download a new application or complete separate onboarding flows, removing friction that typically limits prediction market adoption.

\ The timing coincides with Myriad's deployment on BNB Chain, which expands accessibility while reducing transaction costs. Lower fees matter in prediction markets where users often place multiple smaller bets across various outcomes. High transaction costs on networks like Ethereum can make small-scale trading economically unviable, particularly for retail users testing different strategies.

\ \ Farokh Sarmad, President and co-founder of Myriad, explains,

\

\

The Competitive Landscape and Platform Selection

Trust Wallet chose Myriad to anchor its Predictions feature before adding Kalshi and Polymarket, two platforms with significantly larger trading volumes. Polymarket has processed billions in volume and attracted mainstream attention during the 2024 US presidential election. Kalshi operates as a CFTC-regulated exchange in the United States, giving it regulatory advantages in the American market.

\ So why did Myriad get first placement? The platform's connection to Decrypt and Rug Radio provides media infrastructure that other prediction markets lack. This media foundation creates trust mechanics through content distribution and community engagement, potentially lowering the barrier for users unfamiliar with prediction market mechanics.

\ The integration also benefits from BNB Chain's ecosystem alignment with Trust Wallet, which Binance originally developed. Technical integration becomes simpler when platforms share infrastructure compatibility, reducing development time and potential bugs.

\

What $100M in Volume Actually Represents

Myriad's $100 million milestone and 400,000 active traders provide context for its current scale. For comparison, Polymarket has processed over $3 billion in volume in 2024 alone, with particularly high activity around the US presidential election. Kalshi reported similar growth patterns during the same period.

\ However, Myriad's tenfold volume increase over three months indicates genuine growth trajectory rather than stagnant metrics. The 7.3 million transactions across 6.3 million trades suggest users are actively managing positions rather than making one-time bets and leaving. This engagement pattern matters more for long-term viability than raw volume numbers that can spike around single events.

\

The Broader Shift in Wallet Functionality

Trust Wallet's move reflects a broader evolution in wallet design. Wallets are expanding beyond basic asset storage and simple token swaps into full-featured financial platforms. MetaMask added staking features. Phantom integrated token launches. Wallets compete on functionality rather than just security or user experience.

\ Prediction markets fit this evolution because they represent a native crypto use case that doesn't require bridging to traditional finance. Users trade with crypto assets on blockchain-based outcomes, creating an experience that feels coherent within the wallet environment. This differs from features like fiat on-ramps or credit cards that blend traditional and crypto finance.

\ The aggregation model also positions Trust Wallet as a discovery layer for prediction markets. Users might explore Myriad markets first, then compare odds across Kalshi and Polymarket when those platforms join the interface. This creates competitive pressure on market makers to offer better prices while giving users better execution.

\

Potential Challenges and Limitations

Wallet-native prediction markets face regulatory questions that standalone platforms have struggled with. The SEC has examined prediction markets for potential securities violations. The CFTC regulates certain event contracts as commodities. Integrating these markets directly into wallets could increase regulatory scrutiny on wallet providers themselves rather than just the underlying platforms.

\ Trust Wallet operates in multiple jurisdictions with different legal frameworks for prediction markets. The platform will need to implement geographic restrictions or compliance measures to avoid legal issues in markets where event-based trading faces restrictions. This could limit the feature's global availability despite Trust Wallet's 220 million user base.

\ There's also the question of whether users actually want prediction markets inside their wallets. Wallets serve as security-critical applications where users store significant assets. Adding trading features increases complexity and potential attack surfaces. Some users prefer keeping their wallet functions minimal and using dedicated applications for trading activities.

\

Final Thoughts

This integration represents a bet on prediction markets becoming a standard crypto primitive. Myriad gains distribution that would take years to build independently, while Trust Wallet adds a differentiating feature.

\ Success depends on whether prediction markets can move beyond election-season spikes into sustained daily usage. The 7.3 million transactions suggest users are actively trading rather than making single bets, but the real test comes when Kalshi and Polymarket join. Competition might reduce Myriad's share even as the overall category grows. For now, the integration proves prediction markets have reached sufficient maturity for major wallet providers to build native features around them.

\ Don’t forget to like and share the story!

:::tip This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYO

:::

\

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