A fintech startup approached us to build a prediction market platform inspired by existing players like Polymarket and Kalshi, but customized to their niche audience (sports and crypto). The goal was to launch a scalable, user-friendly platform capable of driving real trading activity without relying on massive upfront liquidity.
Within 90 days of launch, the platform achieved:
$2.3M trading volume
18,000+ registered users
73% user retention rate
120+ active prediction markets
The client’s core goal was to build a prediction market platform that was simple, scalable, and capable of driving real trading activity from day one by focusing on:
Continuous liquidity across all markets without requiring manual market makers.
A simplified trading experience that allows users to participate without understanding complex trading systems
Accurate and tamper-proof market resolution to ensure trust in every outcome
A revenue-driven model powered by trading activity, not speculation or unsustainable incentives
”We didn’t want to launch just another Web3 platform with no real usage. We wanted to build a prediction market that people actually come back to trade on, where liquidity, simplicity, and trust are built into the system from day one.
The Troniex team didn’t just deliver the platform. They helped solve the liquidity problem, simplify the product, and launch something users genuinely engage with.”— PredicONE Team
No liquidity at launch
Prediction markets depend on active participation. Without liquidity, users leave immediately.
Complex user experience
Complex trading interfaces required users to understand order books and pricing models. Traditional trading interfaces create friction for non-technical users.
Lack of technical infrastructure
The client had no existing architecture for smart contracts, pricing models, or settlement mechanisms.
No reliable way to resolve markets
The client had no clear system to validate outcomes. Without a trusted resolution, users question results and avoid trading on the platform. Early attempts resulted in less than $1,000 in trading volume, indicating low engagement and poor market activity.
We approached the project as both a trading platform and a prediction infrastructure. The goal was to solve liquidity, usability, and monetization simultaneously.
Liquidity-first architecture
We prioritized building a system that ensured continuous tradability from day one.
Simplified user experience
We removed complex trading elements and designed an interface focused on binary decision-making.
Built-in monetization
Revenue mechanisms such as trading fees and market creation fees were integrated into the core system.
We developed a scalable prediction market platform using a hybrid architecture that balanced decentralization with performance.
We executed the platform development in clearly defined phases to ensure faster delivery, stability, and seamless scalability from launch.
The initial phase focused on defining the overall platform structure and tokenomics. The team designed the smart contract logic and mapped out the core system architecture. User experience flows were also finalized to ensure a smooth and intuitive interaction for future users.
During this phase, the main technical components of the platform were built. Smart contracts and backend systems were developed to support the platform’s functionality. An Automated Market Maker (AMM) liquidity model was integrated, and the frontend interface was created to allow users to interact with the system.
Extensive testing was carried out to ensure the platform’s reliability. Smart contracts were audited, and pricing algorithms were optimized to maintain stability under real trading conditions. Performance improvements and usability enhancements were also implemented.
In the final phase, the platform was deployed to production. An initial liquidity pool of $50K was seeded to enable trading activity. Early user onboarding strategies were activated to attract and engage the first group of users.
Front-end
Figma
HTML
Tailwind Css
ReactJS
Back-end
Express Js
Node Js
Blockchain
Solidity
Infrastructure
AWS
Cloud-based
Database
Mongo Db
PostgreSQL
Oracle Integration
Chainlink
Oracle Layer
$2.3M+ Trading Volume, generated within the first 90 days of launch
18,000+ Registered Users, actively participating across multiple prediction markets
73% User Retention Rate, driven by simplified UX and consistent liquidity
120+ Active Markets, covering high-interest categories with continuous trading activity
$25K–$40K Daily Trading Volume, sustained after initial liquidity stabilization
<1% Transaction Failure Rate, ensuring smooth and reliable trade execution
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