Prediction market developmentMarkets people can trust.

Prediction market development combines three hard problems: an exchange people want to trade on, markets that resolve fairly, and money that settles exactly as promised. We have built this end to end — including Space, a leveraged prediction market on Solana with a central limit order book — and we design the trading engine, the on-chain logic and the app as one product.

01 — Is this you?

When you need a prediction market team

  1. 01

    You are launching a prediction market — general-purpose or focused on one niche such as sports, crypto or politics — and need the exchange, the contracts and the app built together.

  2. 02

    You want features beyond simple yes/no pools: limit orders, an order book, leverage, or markets created and resolved at scale.

  3. 03

    You need outcomes users can verify for themselves, with resolution rules that hold up when real money is on the line.

  4. 04

    You have a prototype or a pool-based market and need it rebuilt for production traffic, security and a trading experience people return to.

02 — Capabilities

What we build

01

Trading engines

Central limit order books with limit and market orders, or automated market makers when you need guaranteed liquidity from day one.

02

Leverage and margin

Leveraged positions with explicit margin rules, liquidation logic and limits per market — the model we built for Space, with up to 10x leverage.

03

Market lifecycle

Creating, listing, pausing, resolving and closing markets, with admin tools so your team can run hundreds of markets without touching code.

04

Resolution and settlement

Outcome resolution from oracles or defined sources, dispute windows where needed, and on-chain settlement that pays out exactly what the rules say.

05

The trading app

Market discovery by category, the order book, portfolio and P&L, leaderboards and wallet connection — fast enough for live events.

06

Data and indexing

Market data, price history and positions indexed and served to the app, plus the analytics your team needs to run the exchange.

03 — Before you build

Decisions to make before you build a prediction market

Order book or AMM?

An order book gives traders precise pricing and limit orders, and suits active markets; an automated market maker guarantees a price even when few people are trading. Many teams start with one model and add the other — we help you choose per market type.

How will markets resolve?

Every market needs a clear question, a trusted source of truth and a plan for disputes. Ambiguous resolution is where prediction markets lose user trust, so we design the rules and the resolution pipeline before the first market goes live.

How much leverage, and for whom?

Leverage makes markets more engaging and more dangerous. Margin requirements, liquidation thresholds and per-market limits need to be designed and tested as carefully as the contracts themselves.

Where can you legally operate?

Prediction markets are regulated differently from one country to the next. We are engineers, not lawyers: get legal advice for your target markets, and we will build the controls your counsel asks for, such as access restrictions or verification steps.

04 — Process

How we build prediction markets

  1. 01

    Discovery

    Market types, trading model, resolution sources and risks first — including how markets could be manipulated and what happens when an outcome is disputed.

  2. 02

    Design

    Exchange and contract architecture, leverage and margin rules, admin roles, and the trading flows for placing orders, managing positions and claiming payouts.

  3. 03

    Build

    On-chain programs in Rust on Solana (or Solidity on EVM chains) with tests on every path, the matching and data backend, and the trading app in Next.js.

  4. 04

    Launch

    Code review, static analysis, load testing for live events, testnet rehearsal and an independent audit coordinated before mainnet.

  5. 05

    Scale

    Monitoring, new market categories, liquidity and trading features as your exchange grows.

05 — Security from day one

A prediction market holds user funds and pays out on outcomes, so mistakes are expensive and public. We threat-model the exchange before writing code — manipulation, oracle failure, liquidation edge cases — test every path, review every change and coordinate independent audits for critical deployments. An audit lowers risk, it does not remove it, so we keep the on-chain logic as simple as the product allows.

Threat model Tests on every path Code review Independent audit where it matters

06 — What you get

Deliverables

  • Market and resolution specification
  • Threat model and risk parameters
  • On-chain programs and test suite
  • Trading engine and data backend
  • Trading web app and admin tools
  • Deployment runbook and documentation

Stack & networks

Technology

Rust·Solidity·Next.js·Node.js·PostgreSQL·The Graph·ethers.js·wagmi
SolanaEthereumPolygonArbitrumOptimism

Typical timeline

Timelines depend on the trading model, leverage and chain; we confirm them after discovery.

08 — FAQ

Commonquestions.

Why METACODEBOX

One team,contract to interface.

  • End-to-end product development under one roof — contracts, backend, frontend and design.
  • Deep expertise in blockchain and Web3, from token logic to full DeFi protocols.
  • Direct access to senior engineers, weekly demos and transparent communication.
  • Ongoing support and maintenance after launch.

Related services

Explore more

Let’s scope it

Tell us whatyou’re building.

Get a free consultation and a tailored proposal within 24 hours — engineering expertise, no sales pitch.