Prediction Market

Prediction Market Platform Development: Build the Next Polymarket or Kalshi

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Priyadharshini Suriyanarayanan

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A few years ago, we would not have even imagined that we could make a profit just by predicting the outcome of real-world events. But now platforms like Kalshi and Polymarket are turning that notion into a multi-billion-dollar business.

 

By 2030, prediction market platforms’ trading volumes could reach $1 trillion, says a report.

 

Last year, both of these companies alone handled $50 billion in trades, and this year, they have shot up even higher, to more than $130 billion.

 

From the US presidential election alone, Kalshi’s contract trading volume is $1billion and $40billion worth of trades on sports markets in just 3 short months.

 

Polymarket recently secured $600 million in funding and is set to raise another $400 million - all at a reported valuation of $15billion. Also, Coinbase's $100m annual revenue from prediction markets

Robinhood crosses 16 billion in event contracts; all these stats show one thing clearly: people’s interest in betting, as this makes prediction markets a proven business model for entrepreneurs and startups, inspiring them to invest in prediction market platform development to build their own.

 

What is a Prediction Market Platform?

 

A prediction market platform is a software application that processes all the stages of an event-based market's life cycle, including market creation, trading, and settlement. This platform is complementary to the crypto exchange, where people do not trade crypto-assets or any other assets; instead, they predict and trade on contracts linked to specific outcomes of events.

 

How Does a Prediction Market Platform Work?

 

A prediction market platform allows users to bet on the real-world event outcome possibilities rather than buying or selling traditional assets.

 

The events may be Political outcomes, such as elections or Economic indicators, like interest rate decisions or inflation data; crypto-related events, such as price movements or protocol developments; or Sporting events, such as match outcomes or league results.

 

Now, how does it work? The process starts by creating a market for a single question, like "Will Team A win the FIFA World Cup match? With the measurable outcomes, yes or no. Let's say a group of people believes it is possible to win, then others believe that not possible.

 

Once the market goes live, users trade based on their beliefs. They start trading. If the market is 0.6%, then there is a 60% chance of an event happening.

 

As trading continues, market prices change according to demand and participants' confidence in each outcome. Higher confidence increases the price of a prediction contract, while lower confidence decreases it.

 

After the event concludes, the platform verifies the official result using trusted data sources or oracles. It then settles the market by rewarding users who predicted the correct outcome and closes the market. This process is repeated for every new event.

 

Who Can Launch a Prediction Market Platform?

 

Prediction market platforms can be launched by businesses that already operate in the trading industry or those looking to expand into event-based trading. Here are some examples:

 
  • Crypto exchanges that are looking to offer crypto prediction market development alongside spot or derivatives trading.
  • Forex (FX) brokers want to diversify their trading products.
  • Fintech platforms that are planning to introduce new investments in the prediction market clone software or trading experiences.
 

For all the above, prediction market platform development can be a natural product extension. Event-driven trading can be added as a feature without the need to rebuild the existing trading infrastructure or business model.

 

How Prediction Market Prices Fluctuate

 

Prediction market prices are affected by traders' decisions. Imagine a prediction market for today's FIFA World Cup match:

The market Question is, will England beat DR Congo?

When the market opens, the Yes contract trades at $0.58.

A few hours before the match, England announces its starting line-up, including its all-star players. The probability that England will win the game has increased among the traders, and thus the price of the Yes contract has risen to $0.69.

Right before the kick-off, there is an expectation of heavy rain, which may increase the unpredictability of the match. A few traders have decreased their probability that England will win, and hence the price of the Yes contract has decreased to $0.64.

Halfway through the match, England leads 2-0. The expectation that England will win the match has now increased, and therefore the Yes contract price increases to $0.94.

When the final whistle blows and England wins the match, the Yes contract settles at $1.00, while the No contract settles at $0.00.

As expectations change, the contract price changes, making prediction market platform development a real-time indicator of market sentiment.

 

Key Features of a Prediction Market Platform

 

1. Order Matching

 

The system automatically connects people who want to buy with people who want to sell, at a price both agree on. This happens instantly, like how a stock market works.

 

2. Automated Liquidity

 

Sometimes there aren't enough traders on a market to keep it active. This feature uses automated systems (bots or algorithms) to always be ready to buy or sell, so people can still trade even when few humans are around.

 

3. Multi-Outcome Markets

 

Not every event is just "yes or no." Some events have three or more possible results, like an election with three candidates. This feature lets the platform create markets for those situations, not just two-choice ones.

 

4. Outcome Verification

 

When an event ends, the platform needs to know the correct result. It checks multiple trusted sources such as live news or official records to confirm the outcome. If people disagree with the result, there's a process to dispute it and get it reviewed.

 

5. Real-Time Account Updates

 

Users can see their trades, profits/losses, and account balance updates immediately as things happen, with no need to refresh the page.

  

6. Identity Verification and Compliance

 

Before people can trade, the platform checks who they are (identity verification) and makes sure they're allowed to trade based on where they live, since laws differ by country/region. This keeps the platform legal.

 

7. Trading Fees

 

Every time someone makes a trade, the platform takes a small fee. This is the main way the platform makes money. People who trade a lot might get a discount on these fees.

 

8. Market Setup Tools

 

Tools that let someone like an admin or market creator set up a new market, deciding what the event is, what the possible outcomes are, and how the result will be determined.

 

9. Reporting

 

The platform keeps track of trading activity and volume and can generate reports. These are useful for regulators (to prove the platform follows the law) or investors (to see how the business is performing).

 

Centralized vs Decentralized Prediction Markets

 

Centralized Prediction Market

Here, one company runs the entire platform, user accounts, payments, the creation of markets, and the settlement of winning trades. Users simply come in and trade, while the platform acts as the trusted middleman handling everything behind the scenes.

The best example of this is Kalshi, which operates as a centralized prediction market. Users create an account, deposit funds with the platform, trade on event contracts, and receive payouts directly from Kalshi once the event outcome is officially confirmed.

Decentralized Prediction Market

This model runs entirely on blockchain technology. Smart contracts take care of executing trades and settling markets automatically, while users hold onto their own digital wallets the whole time.

Polymarket is a decentralized prediction market built on blockchain. Users connect wallets such as MetaMask, trade using cryptocurrency, and receive payouts automatically through smart contracts after the market is resolved.

 

Risks and Challenges of Running a Prediction Market Platform

 

1. Risk Management

You can't run a white label prediction market platform without built-in safeguards; it needs continuous exposure monitoring, position limits, and circuit breakers to prevent a single trader or some chaotic news event from misinterpreting prices.

2. Market Manipulation

The real risk in a blockchain-based prediction market is oracle manipulation, when someone with enough capital tries to make a fake outcome look like the real deal... and then there are the chances of wash trading and spoofing, which raise fake volume or push the price in a false direction.

3. Data Reliability

Buying resolution needs trustworthy data; that's where things get tricky. Sometimes, sources disagree, or the verification process is running behind real events, and vague market descriptions turn resolution into a dispute instead of a fact-check.

4. Liquidity Challenges

Some market niches of turnkey prediction market platforms have very few people; in that case, you need to deal with very thin trading, which causes wide spreads and unpredictable prices. Spreading capital across thousands of simultaneous markets makes this worse, and new markets often start with no real price signal at all.

5. Regulatory Considerations

Legal status varies by jurisdiction and is still being contested (derivative vs. security vs. gambling), forcing platforms into geofencing, KYC requirements, and extra scrutiny on sensitive topics like elections.

 

Prediction Market Platform Development Costs

 

Prediction market development costs can vary depending on the model you choose and its complexity:

  • Basic Centralised MVP: $25,000 - $45,000
  • Full Centralised Platform: $45,000 - $70,000
  • Decentralised Platform: $60,000 - $100,000
  • Hybrid Platform: $100,000 - $150,000+

Apart from this, if you need regulatory compliance, third-party audits, or add-ons, then it may cost another $10,000 to $30,000.

 

How a Prediction Market Development Company Helps Overcome Challenges

 

Prediction market platform development is not always about hiring a coder and going. You're dealing with real money, legal areas, and systems. Mistakes can cost users trust or lost funds.

Here’s exactly: the development partner matters more.

You know the platform you want, the markets, the experience, the feel of it. Only the right partner builds your vision into a perfect platform with the right technical plan.

Bugs, oracle failures, and pricing exploits are the major issues that may arise in prediction market solutions. Clarisco's team, which has experience building this before, knows where things get difficult.

Compliance, security audits, scaling for traffic spikes: this is specialized work. Our team brings that expertise in-house so you're not stuck researching regulations or hiring five different specialists yourself.

If you want to build a product that scales as your user base grows and not spend months debugging smart contracts, then reach out to our capable team and take the technical weight off your shoulders and focus on strategies for your business growth.

 

Final Thoughts

 

Today, traders are actively predicting the outcome of the Texas Senate election. When that event ends, attention shifts towards the next new event, whether it's another election, tournaments, an AI company's IPO, or a major Federal Reserve announcement.

Prediction markets don't have a finish line because the world never stops creating new events. That is what makes this industry so attractive for businesses.

Every headline is another chance for prediction market development services to attract users and grow your platform. Start now, and you'll be ready to grab opportunities before your competitors do.

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Priyadharshini Suriyanarayanan

Founder & CEO, Clarisco Solutions Private Limited

12+ years in AI, Web3, and enterprise software delivery. Led 650+ product launches across AI agents, generative AI, tokenization, crypto exchanges, DeFi, and NFT platforms. Specializes in AI-driven Web3 product engineering and regulation-ready system architecture.