How to Build and Launch a Prediction Market Platform Like Coinbase

Imagine opening your favourite financial app and finding a new way to trade your opinions about the future. Instead of buying stocks or cryptocurrencies, you can predict whether a particular event will happen. Will a team win a major tournament? Will inflation reach a specific level? Will a particular economic event take place?

This is the idea behind prediction markets, and the industry is growing rapidly.

According to recent industry data, Kalshi and Polymarket recorded approximately $66.7 billion in combined volume during the first four months of 2026. Bernstein has also projected that the industry could reach around $240 billion in 2026 and approach $1 trillion by 2030. These figures should be independently verified before publication because the market is changing quickly.

Coinbase’s entry into prediction markets has attracted particular attention. Rather than building an entire prediction market exchange from the ground up, Coinbase launched its Predict offering through a partnership with Kalshi, a regulated prediction market operator.

This approach raises an important question for entrepreneurs and fintech businesses.

Should you build your own prediction market platform, or partner with an existing exchange?

In this guide, we will explore how Coinbase approached the market, the technology behind prediction platforms, regulatory considerations, development costs, and the steps involved in launching your own solution.

Whether you want to create a platform like Coinbase, build an independent prediction exchange, or introduce prediction features into an existing financial application, this guide will help you understand the process.

What Is a Prediction Market Platform?

A prediction market platform allows users to trade contracts based on the possible outcomes of real world events.

For example, a platform might offer a contract asking:

Will a particular team win its next match?

Users can purchase contracts representing different outcomes. The price of a contract often reflects the market’s implied probability of that outcome, although it is not a guaranteed or objective probability.

Prediction markets can use several contract formats, including:

• Yes or No
• Above or Below
• Over or Under
• Up or Down
• Long or Short

The exact format depends on the platform’s market design and regulatory structure.

Unlike traditional betting applications, prediction platforms may operate through financial market infrastructure, depending on the jurisdiction, product design, and applicable regulations. This distinction is important because regulatory classification can affect how a platform is developed and operated.

How Coinbase Approached Prediction Markets

Coinbase’s prediction market strategy offers a useful example for businesses entering this industry.

According to the sources cited above, Coinbase announced its prediction market initiative in late 2025 and launched its Predict offering for customers across the United States in January 2026.

The central point is that Coinbase did not initially need to build an entirely new exchange infrastructure.

1. Coinbase Partnered With Kalshi

Coinbase’s initial model relied on Kalshi’s existing prediction market infrastructure. This allowed Coinbase to focus on bringing the product into its customer experience while using an established market operator.

This is an important distinction for founders.

Building an exchange involves much more than designing a trading interface. It requires market infrastructure, compliance systems, contract settlement, liquidity management, and operational controls.

A partnership can reduce the amount of infrastructure a company needs to develop before launch.

However, a partnership does not eliminate the need for legal review. The responsibilities of each party depend on the agreement, jurisdiction, and specific services being provided.

2. The Product Was Integrated Into Coinbase's Ecosystem

According to reports on the launch, users could fund trades through their existing Coinbase USD or USDC balances, with a reported minimum trade amount of $1.

An integrated experience can reduce friction for existing customers. Users do not necessarily need to create a completely separate account or learn an unfamiliar platform.

This highlights an important product development lesson.

A prediction market platform does not always need to attract users through a standalone application. It can also become a feature within an existing financial ecosystem.

For fintech businesses with an established customer base, this approach may create opportunities to test demand before investing in a fully independent exchange.

3. Coinbase's Longer Term Infrastructure Strategy

Reports also reference Coinbase’s agreement to acquire The Clearing Company in December 2025. The company was described as having infrastructure expertise and personnel with experience at major prediction market platforms.

This development suggests that Coinbase’s interest may extend beyond simply distributing prediction market products.

However, the long term impact of the acquisition and Coinbase’s future infrastructure strategy should be assessed using verified company announcements and regulatory disclosures.

The broader lesson remains relevant: companies can begin with a partnership model while evaluating whether they eventually want greater control over their technology stack.

4. Regulatory Questions Remain Important

Prediction markets operate in a legally complex environment.

There has been legal action involving Coinbase and several US states following its launch. There are also ongoing disagreements about whether certain event contracts fall under federal commodities regulation or state gaming laws.

These matters should not be treated as settled across all products and jurisdictions.

For anyone planning to build a prediction market platform, legal advice should be part of the initial planning process rather than something added shortly before launch.

Coinbase’s approach demonstrates how partnership, distribution, and regulatory structure can influence the design of a financial product.

Build vs. Partner: Which Approach Fits Your Business?

There are two broad ways to enter the prediction market industry.

You can partner with an existing operator, or you can develop your own platform and infrastructure.

The partnership model can be useful when speed and distribution are important. The independent model may suit businesses that want to control market listings, user experience, pricing mechanisms, and platform operations.

Neither approach guarantees commercial success.

The right decision depends on your target users, regulatory requirements, funding, technical expertise, and long term business objectives.

Step by Step Guide to Building a Prediction Market Platform

1. Define Your Regulatory Strategy First

Before hiring developers or designing your trading interface, determine how your platform will legally operate.

This is one of the most important decisions & prediction market development company like Opinios labs can help you with it.

Depending on the intended market and jurisdiction, possible approaches may include working with a licensed operator, pursuing applicable registration, or establishing a structure for international operations.

The regulatory requirements depend on factors such as:

• The countries where users are located
• The type of contracts being offered
• Whether contracts involve financial or sports related outcomes
• How trades are executed and settled
• Whether the platform holds customer funds
• The role of third party service providers

In the United States, businesses may need to evaluate applicable CFTC requirements, including potential designated contract market or derivatives clearing organization obligations. These are not universal requirements for every prediction product, so a qualified legal professional should assess the specific model.

State gaming laws also require attention, particularly for sports related contracts.

A practical approach: Prepare a regulatory requirements document before finalising your technology architecture. This will help your development team avoid building features that later require substantial redesign.

2. Choose Your Market Making Model

Your platform needs a mechanism that allows users to trade contracts.

Two common approaches are a central limit order book and an automated market maker.

A central limit order book matches buy and sell orders submitted by users or liquidity providers. This approach can provide detailed control over order execution and pricing.

An automated market maker uses a predefined pricing mechanism and liquidity pools. This model is common in some blockchain based financial applications.

Each approach comes with different technical and operational requirements.

An order book requires matching engine infrastructure, order management, and liquidity management. An automated market maker requires pricing formulas, liquidity pool design, and controls against manipulation or abnormal trading behaviour.

Your choice should reflect your regulatory model, expected trading activity, market types, and available liquidity.

For a deeper discussion of automated market makers and order book systems, see our related article on building a platform like Limitless Exchange.

3. Build the Core Technology Stack

A prediction market platform requires several connected systems.

The trading interface is only one part of the product.

Your core infrastructure may include:

• Matching engine or market maker: Processes trades and applies the platform’s execution rules.
• Market creation system: Allows authorised administrators to create contracts with clearly defined terms.
• Event resolution layer: Determines how outcomes are verified and settled using reliable data sources and documented rules.
• User accounts: Provide registration, authentication, account management, and access controls.
• Funding infrastructure: Supports approved payment methods, withdrawals, and transaction processing.
• Compliance systems: Handle identity verification, transaction monitoring, and geographic restrictions.
• Pricing interface: Displays contract prices, market activity, and relevant trading information.

If your platform supports digital assets, you may also need blockchain infrastructure, wallet integrations, custody systems, and smart contract security reviews.

The architecture should be designed around the platform’s legal and operational requirements. Adding compliance and settlement features later can be significantly more difficult than considering them during the initial design.

4. Solve Liquidity Before Launch

Liquidity is one of the biggest challenges for new trading platforms.

A user may discover an interesting market but decide not to participate if there are few available orders, wide spreads, or limited opportunities to exit a position.

A platform with a visually attractive interface can still deliver a poor experience if its markets are inactive.

Before launch, consider how liquidity will be generated.

Potential approaches include:

• Partnering with established liquidity providers
• Allocating capital according to an approved market making strategy
• Launching a limited number of markets
• Integrating with an existing exchange
• Developing incentives that comply with applicable regulations

The partnership approach used by Coinbase illustrates one possible way to access existing market infrastructure.

For independent platforms, liquidity planning should begin during product design, not after development is complete.

Start with a focused set of markets that your team can monitor and support effectively. Expanding too quickly can make it difficult to maintain consistent market quality.

5. Design Compliance, KYC, and Custody Systems

Financial applications need strong controls for user verification and transaction monitoring.

Prediction markets introduce additional considerations because the platform may serve users across different regions and offer contracts connected to regulated activities.

Your compliance architecture may need to support:

• Know Your Customer verification
• Geographic restrictions
• Age and eligibility checks where applicable
• Transaction monitoring
• Suspicious activity review
• Account restrictions
• Record keeping
• Customer fund management

The exact requirements depend on the business model and jurisdiction.

Custody also deserves careful consideration. If your platform holds fiat currency or digital assets, you need to determine how funds are stored, transferred, reconciled, and protected.

A secure custody arrangement can help reduce operational risks, but it must be designed to meet the relevant legal and security requirements.

Compliance should be integrated into the platform’s user journey. Users should understand why verification is required and what restrictions apply to their accounts.

6. Design for Distribution, Not Just Technology

Many founders focus on building the platform and leave user acquisition for later.

That can be a costly mistake.

Prediction markets need active participation. Without enough users and liquidity, even a well designed product may struggle to gain traction.

Coinbase’s approach demonstrates the potential value of integrating prediction markets into an existing financial ecosystem.

If you already operate a fintech application, trading platform, or digital wallet, you may be able to introduce prediction features to your current user base, subject to applicable regulatory and contractual requirements.

For standalone platforms, distribution strategies may include:

• Educational content
• Community building
• Partnerships
• API integrations
• Developer tools
• Targeted marketing
• Market specific experiences

Recent reporting also highlights the growing role of AI agents in prediction market trading. This suggests that API access and programmatic trading infrastructure may become important considerations for some platforms.

However, estimates of agent driven volume should be verified carefully, as methodologies differ across sources.

7. Plan Your Launch Around Market Demand

A prediction market platform needs a launch strategy that matches user interest.

Certain events can generate significant attention, including elections, major sporting events, economic announcements, and corporate developments.

Your launch calendar should consider the markets you are legally permitted to offer and the users you intend to serve.

Instead of launching with too many categories, consider introducing a smaller number of clearly defined markets.

A focused launch can help your team evaluate:

• User onboarding
• Trading activity
• Liquidity
• Settlement processes
• Customer support
• Compliance workflows
• Platform reliability

Once the initial experience is stable, you can assess whether expanding into additional market categories makes sense.

How Much Does It Cost to Build a Prediction Market Platform?

The cost of developing a prediction market platform depends on the scope of the project.

A partnership based integration may require less custom infrastructure than a fully independent exchange. However, costs depend on the partner, commercial agreement, integration requirements, compliance responsibilities, and product complexity.

A complete exchange build may involve substantial expenditure on engineering, security, legal services, compliance operations, infrastructure, and liquidity.

These categories are not fixed price estimates. Public benchmarks vary significantly, and a reliable budget should be prepared after reviewing the product requirements.

At Opinios Labs, project scoping can be structured around the features, infrastructure, integrations, and regulatory requirements relevant to your business model.

The development timeline will also depend on whether you are integrating an existing exchange or building core market infrastructure yourself.

Prediction Market Statistics Every Founder Should Know

The following figures are drawn from recent industry reporting and should be independently verified before publication.

Market growth: Recent reporting cites approximately $66.7 billion in combined Kalshi and Polymarket volume during the first four months of 2026.

Industry projection: Bernstein is cited as projecting approximately $240 billion in industry volume for 2026 and close to $1 trillion by 2030.

User growth: Industry data references growth in monthly active users from approximately 4,000 in early 2024 to more than 600,000 by late 2025.

AI trading: Some sources estimate that AI agents account for a significant share of trading activity on major prediction platforms.

These figures help demonstrate why prediction market infrastructure is attracting attention from fintech businesses, technology companies, and investors.

However, volume figures may use different definitions, including notional volume, trading volume, or settled activity. User counts can also vary depending on how active users are measured.

For a business plan, use consistent definitions and verify the latest available data.

Common Mistakes to Avoid

Treating Regulation as an Afterthought

A platform’s legal structure affects its technology, markets, customer onboarding, and operating model.

Seek professional legal guidance early.

Launching Without a Liquidity Strategy

Users expect markets to be active and tradable. Plan liquidity before opening the platform to a wider audience.

Building Too Many Features at Once

A large initial product can increase development time and operational complexity.

Start with a focused scope that supports your core business objectives.

Ignoring API and Developer Access

Programmatic access may be valuable for trading tools, integrations, and institutional or automated users. Evaluate whether APIs are appropriate for your target audience and regulatory model.

Underestimating Custody and Security

Account protection, transaction monitoring, and fund management should be considered core platform capabilities.

Using Unclear Market Resolution Rules

Every contract should have clear terms describing how its outcome will be determined. Ambiguous settlement rules can lead to disputes and undermine user confidence.

Conclusion: Build Your Prediction Market Platform With Opinios Labs

Coinbase’s entry into prediction markets demonstrates one possible route into a growing financial technology sector.

Rather than immediately developing an entire independent exchange, Coinbase used an existing market operator’s infrastructure to introduce prediction market functionality to its customers.

For other businesses, the right approach may look different.

Some companies may benefit from integrating with an established operator. Others may want to develop a customised platform with greater control over its technology, market design, and user experience.

Regardless of the approach, several components require careful planning: regulatory strategy, market infrastructure, liquidity, settlement, custody, security, and distribution.

The most effective development process begins by understanding your business model and the users you want to serve.

Opinios Labs can help businesses explore prediction market platform development, from product architecture and trading infrastructure to compliance aware design and launch planning.

Whether you are considering a Coinbase inspired integration or an independent prediction market exchange, a well defined technical and operational strategy can help you make informed development decisions.

The prediction market industry continues to evolve, and its long term potential will depend on user demand, regulatory developments, market quality, and sustainable infrastructure.

If you are planning to enter this space, now is the time to evaluate your concept, define your requirements, and determine which development model fits your goals.

Ready to explore your prediction market platform idea? Connect with Opinios Labs to discuss your project and development requirements.