What Is a Prediction Market Clone Script?
A prediction market clone script is ready-to-deploy software for a platform where users trade shares in the outcome of future events. Each share pays a fixed amount if its outcome occurs and nothing otherwise, so the price of a share is the market probability of that outcome. The aggregate result is a forecast that updates continuously as people put money behind their views.
This is a category rather than a single product, and the choices you make early are hard to reverse: order book against AMM, crypto against fiat, permissionless listing against curated listing, and how much verification you require. This page covers the trade-offs; the specific platform models are on our Polymarket clone and Kalshi clone pages.
What You Receive
| Component | What It Covers |
|---|---|
| Market engine | Binary, categorical and scalar markets with share issuance and redemption |
| Pricing layer | Central limit order book, AMM pricing, or both side by side |
| Settlement | Stablecoin or fiat collateral with automated payout at resolution |
| Resolution system | Named sources, automated reads, challenge windows and adjudication |
| Curation tooling | Market templates, proposal queue, approval and duplicate detection |
| Trader tools | Portfolio, PnL, payout scenarios, alerts and API access |
| Compliance layer | KYC tiers, geo-fencing, limits, surveillance and reporting |
| Source code | Contracts, engine, front end and infrastructure transfer on delivery |
Not sure whether an order book or AMM fits your markets? We will model both against your expected volume.
Get a Free Live DemoOrder Book or AMM: Pick for Your Volume, Not for Fashion
The pricing model is the decision that shapes everything else, and most teams get it backwards by copying whichever platform they admire rather than matching the mechanism to the volume they will realistically have.
An order book gives tight spreads and precise pricing when there are enough participants, and empty, unusable books when there are not. An AMM always quotes a price, which is why low-volume markets survive on it, but that price is worse and liquidity providers carry real risk on markets that resolve to zero.
High expected volume per market favours an order book: better spreads, better price discovery, professional market makers can participate.
Long tail of small markets favours an AMM: always quotable, no matching needed, viable with one or two participants.
Mixed catalogue favours a hybrid: order book on flagship markets, AMM for the tail, with a unified interface.
Market maker programmes are mandatory with an order book, and funding them is a real line item rather than an afterthought.
Liquidity provider risk on an AMM is asymmetric near resolution, so incentives and range limits need designing.
Migration paths matter, because the model you launch with is expensive to change once positions exist.
We will model both mechanisms against your expected volume per market and recommend one, including the case where the honest answer is that your market catalogue is too thin for an order book to work at all.
Surfaces This Scope Covers
Reference concepts for a prediction market build — market, order and resolution surfaces. Not screenshots of a delivered client venue.
Core Features
Markets and Trading
- Binary, categorical and scalar outcome markets
- Order book with limit and market orders, or AMM pricing
- Live probability, depth, spread and volume display
- Position merging, splitting and early exit
- Portfolio with unrealised value and payout scenarios
- Price history and volume charts per outcome
- Watchlists, alerts and public trader APIs
Resolution and Curation
- Structured market templates by category
- Proposal, review and approval workflow with duplicate detection
- Named resolution source and timing fixed at creation
- Automated resolution where the source is machine-readable
- Bonded challenge window with adjudication queue
- Void and invalid path with collateral return
- Public resolution log and dispute history
Settlement and Funding
- Stablecoin collateral with per-outcome position tokens
- Fiat funding and payout through licensed providers
- Gasless trading via relayers or smart accounts
- Multi-chain deposits and withdrawals
- Statements, PnL and tax export
- Fee engine configurable per category and per user tier
Trust and Compliance
- Tiered KYC with limits per verification level
- Geo-fencing and category-level jurisdiction restriction
- Sanctions and PEP screening
- Position and exposure limits per user and market
- Wash trading and manipulation detection
- Audit logging and regulatory reporting exports
Mapped to a release plan
We will send a prioritized MVP plan with a recommended pricing model and launch category set.
Request a Feature PlanHow Prediction Market Clone Script Is Put Together
The modules above map onto these layers. Each one ships with its own tests, documentation and runbook, so nothing arrives as a black box you inherit without an explanation.
Requests flow down, settlement and events flow back up. Every boundary carries logging, so a failure is traceable to a layer instead of guessed at.
Chains and Assets We Work With
Settlement asset and chain choice follow oracle availability and cost per resolution. A market that cannot be settled cheaply and verifiably is a dispute waiting to happen.
How We Build Your Platform
Mechanism selection and resolution design come first, because both are expensive to change after launch.
Model selection
Order book, AMM or hybrid, chosen against your expected volume per market and liquidity plan.
Output → mechanism recommendation with volume modelling
Market and resolution design
Categories, rule templates, resolution sources, dispute mechanics and limits.
Output → market rulebook and resolution specification
Compliance scoping with your counsel
Permitted categories, verification tiers, restricted jurisdictions and reporting.
Output → jurisdiction and feature restriction matrix
Build and audit
Contracts, engine, front end and admin tooling, then independent audit and penetration testing.
Output → audited platform on staging for your review
Launch and operations
Seeded markets, liquidity programme, monitoring and an adjudication rota.
Output → live platform with runbooks and escalation paths
Market categories we support
Development Timeline
| Scope | Timeline | Includes |
|---|---|---|
| White label platform | 5 to 7 weeks | Rebranded platform, standard categories, one settlement asset |
| Standard custom platform | 10 to 14 weeks | Chosen pricing model, resolution flow, curation tooling |
| Platform with full compliance | 4 to 6 months | KYC tiers, geo-fencing, surveillance, reporting, audit |
| Multi-chain platform with apps | 6 to 9 months | Several chains or fiat rails, native mobile apps, APIs |
What extends the timeline: compliance depth, which is the largest single variable; hybrid pricing, which is effectively two engines; fiat rails, which move on your payment partner schedule; and audit remediation, which is not compressible.
Revenue Models
| Model | How It Works |
|---|---|
| Trading fees | Taker, maker or spread fees on matched volume |
| Settlement fees | A cut of winning payouts at resolution |
| Market creation fees | Charges for listing user-proposed markets |
| Liquidity programmes | Value captured by directing rebates and incentives |
| Premium tiers | Advanced analytics, higher limits, API access |
| Data licensing | Selling probability and volume feeds |
| White label licensing | Licensing the platform to other operators |
Fees directly affect market quality here: too high and spreads widen until the probability signal degrades, which is the product itself. We build fees as per-category configurable parameters.
Related services
Who This Is For
Launching event markets as a new product category.
Adding event contracts to an existing venue.
Monetising audience and expertise with markets.
Listing outcome markets around events they cover.
Using markets for collective decision-making.
Serving languages and categories global platforms ignore.
Why Choose Coinsclone
Mechanism chosen with evidence
We model order book and AMM pricing against your realistic volume and recommend one, including when neither supports your catalogue yet.
Resolution as a first-class system
Rule templates, named sources, bonded disputes and adjudication tooling, because contested outcomes are the normal case at scale.
Liquidity planned, not assumed
Market maker programmes and seeded depth, since a market with no depth produces no usable probability.
Compliance to your counsel
Category restriction, verification tiers, geo-fencing and reporting implemented to your legal advice.
Manipulation monitoring from launch
Wash trading, self-matching and coordinated resolution pressure detected, not discovered after a scandal.
Full source code ownership
Contracts, engine, front end and infrastructure transfer to you on delivery.
What Our Clients Say
Operators who launched with us, in their own words. Hover to pause.
A members-only NFT marketplace for Digital Freemasonry
Digital Free MasonryNFT marketplace · delivered and liveNext phase in progress: the ODFT Token and the MasonicVerse platform.
Working with Coinsclone has been one of the best professional experiences I have had in the blockchain industry.
From the very beginning of our NFT Marketplace project until its successful completion, the entire team demonstrated exceptional technical expertise, professionalism, patience, and commitment. Every stage of development was handled with great attention to detail, and every challenge we encountered was approached with a solution-oriented mindset.
Read the full client note
Our project was far from a standard NFT Marketplace. It included custom blockchain architecture, Polygon integration, ERC-721 and ERC-1155 standards, royalty implementation, token-gated access through Masonic Passport, multiple payment methods, marketplace customization, advanced testing, and many unique business requirements. Throughout the entire process, the team consistently delivered high-quality work while maintaining clear communication, transparency, and a strong commitment to excellence.
I would especially like to express my sincere appreciation to Mr. Jeeva, Mr. Bala, Mr. Saravanan, Mr. Veeramani, Mr. Akshay, and the entire development team for their outstanding support, professionalism, responsiveness, and dedication throughout the project. Their technical expertise, patience, and willingness to understand even the most complex business requirements gave us complete confidence during every phase of development.
What impressed me the most was not only their excellent blockchain development skills, but also their ability to understand our vision and transform it into a secure, scalable, and highly professional NFT Marketplace.
For me, Coinsclone is not simply a software development company — they are a trusted long-term technology partner. After successfully completing our NFT Marketplace, we are now preparing to continue our collaboration on the next major phase of the Digital Freemasonry ecosystem, including the development of the ODFT Token and the future MasonicVerse platform.
I highly recommend Coinsclone to anyone looking for a reliable, experienced, and highly professional blockchain development company. They have earned my complete trust and respect, and I sincerely look forward to working with them again on future projects.
Start Your Prediction Market
Tell us your market categories and expected volume and we will respond with a recommended model and a scoped proposal.
- Working event market demo with your branding applied
- Order book against AMM modelled for your catalogue
- NDA signed before technical discussion
Request received
A solution architect will reply within one business day with a scoped proposal and demo link.
Frequently Asked Questions
What is a prediction market clone script?
Ready-to-deploy software for a platform where users trade shares in future event outcomes. Each share pays a fixed amount if its outcome occurs and nothing otherwise, so its price is the market probability of that outcome.
Should I use an order book or an AMM?
It depends on expected volume per market. Order books give tight spreads with enough participants and unusable empty books without them. AMMs always quote a price, which keeps low-volume markets tradeable, at the cost of worse pricing and real risk for liquidity providers.
Can I run both models on one platform?
Yes, and for a mixed catalogue it is often the right answer: an order book on flagship markets and AMM pricing for the long tail, presented through one interface. It is effectively two engines to build and maintain.
How are markets resolved?
Against a resolution source named in the rules at creation, read automatically where the source is machine-readable. Contested outcomes go through a bonded challenge window and adjudication, with a defined void path when a fair settlement is impossible.
What makes resolution difficult?
Ambiguity is the normal case at scale. Rules that seemed obvious become disputable once real money sits on both sides. Precise rule text, sources committed up front, bonded disputes and a public audit trail are the only durable defences.
Do users need to be verified?
That depends on your jurisdiction and settlement asset. We build tiered verification so limited activity can be available with light verification and higher limits require full KYC, with geo-fencing and category restriction on top, all configured to your legal advice.
Is running a prediction market legal?
It varies by country and by market category, and in several jurisdictions event contracts are regulated as derivatives or as gaming. We build the technical compliance layer to the specification your counsel provides; licensing and legal opinions remain with them.
Crypto or fiat settlement?
Stablecoin settlement is faster to launch, works globally and suits crypto-native users. Fiat settlement reaches a much larger audience and requires banking partners, client money handling and usually a licence. Many operators start with one and add the other.
How do new markets get liquidity?
Seeded positions plus a market maker or liquidity provider programme funded from fee revenue. This matters more than on a spot exchange because thin depth does not just widen spreads, it destroys the probability signal users came for.
How does the platform make money?
Trading fees, settlement fees on winning payouts, market creation fees, premium analytics and API tiers, data licensing and white label licensing. Fee levels have to stay low enough to keep spreads tight.
How long does it take to build?
A white label platform launches in 5 to 7 weeks. A standard custom build takes 10 to 14 weeks. Full compliance takes 4 to 6 months, and multi-chain or fiat-rail platforms with mobile apps take 6 to 9 months.
Will I own the source code?
Yes. Contracts, engine, front end and infrastructure transfer to you on delivery with no licensing dependency on Coinsclone.
Estimate Your Build
Pick a scope and the extras you need. Resolution design and regulatory scoping move this timeline more than the trading interface does.
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Ranges assume decisions arrive on time. Licensing, banking and third-party audits run on their own schedules and we plan around them rather than inside them.
Get This Scoped ProperlyReady to Launch Your Event Market?
Share your categories and expected volume and receive a recommended pricing model with a scoped proposal covering resolution, compliance and timeline.