(+971) 8007 4267
(+1) 628 432 4305
Industry: Sports Prediction, Web3 Finance
Platform: Web App, Admin Panel
Users: Traders, Admins
Type: Product Design & Development
Project Overview
ESX Trade is a blockchain-powered prediction marketplace for NBA, football, and eGames. Users trade on event outcomes through a transparent order book, not a house. Odds shift with market volume, positions can be exited mid-event, and every settlement is recorded on-chain.
Two modules power the platform. These include a web-based trading app for users and an admin panel for platform operators. A hybrid on/off-chain architecture keeps execution fast and settlement trustless.
Client & Business Background
The client targets crypto-native sports audiences, fans who follow the NBA, football, and eGames, and want a financial stake in outcomes beyond passive viewership. Their business model sits at the intersection of DeFi and sports media.
The gap they identified is that centralized betting platforms hide how odds are set, lock users into positions, and offer no transparency on settlements. General-purpose Web3 prediction markets exist but lack sports-specific user experience and real-time data. Neither side of the market served its audience.
Their primary users are people between 18 and 45 who regularly attend movies, concerts, and local events. On the other side are event organizers ranging from independent promoters to institutional hosts who need more control over who attends their events and how bookings are managed.
Problem Statement
Problem Statement
- Centralized platforms control odds internally. Users have no way to verify fairness or challenge outcomes.
- Once placed, bets are locked. No mechanism to exit positions, take profit early, or limit losses as match conditions change.
- No maker-taker liquidity structure. Thin markets, poor odds, and low participation, especially on niche events.
- Web3 prediction platforms were generic. None were built around sports data, live scores, or a sports-first interface.
- Fraud and odds manipulation, including multi-account abuse and bot activity, went largely undetected on existing platforms.
Objectives & Goals
Solution Provided
We developed ESX Trade as a web-based platform with two interconnected modules, the User App and the Admin Panel. Each module is designed with role-specific access and functionality, ensuring users and administrators only interact with relevant data and tools.
User App
Registration & Onboarding
- Email, phone, and social login (Google, Facebook, Apple)
- 2FA verification via OTP
- Guided tutorial screens
- Profile creation with avatars
- Web3 wallet integration (MetaMask)
- KYC verification with document upload
Market Interaction
- Browse markets across NBA, football, and eGames
- Filters based on popularity, events, and payouts
- Detailed market pages with historical data and odds
- Expert insights via third-party APIs
- Real-time live scores and updates
Advanced Trading Features
- Live trading updates
- Conditional betting (If-Then, stop-loss, take-profit)
- Early exit through market sell-off
- Risk threshold settings
- Transaction history tracking
Trading & Participation
- Order book system with liquidity makers and takers
- Incentives for liquidity providers
- Custom stake input with slider and presets
- Pre-set stake options for faster participation
- Real-time payoff calculation
- Risk-reward visualization graphs
- Historical performance data for similar market outcomes
- Bet slips for review before confirmation
- Blockchain-based bet placement using tokens
Gamification & Engagement
- Leaderboards based on performance
- Achievement badges
- Referral system for organic growth
Community Features
- Live chat during events
- Follow other traders
- Social sharing and polls
Additional Capabilities
- Create and propose new markets
- Earn from transaction fees on approved markets
- Custom alerts and notifications
- Event-based notifications and price threshold alerts
Admin Panel
User Management
- Add, edit, freeze, or remove users
- Monitor registration and verification
Market Management
- Create and manage markets
- Monitor trading activity and compliance
- Schedule events based on real-time data
Analytics & Reporting
- Real-time dashboards for performance tracking
- User behavior insights
- Market trend analysis
Revenue Management
- Track platform earnings
- Monitor profit and loss across users
- Generate time-based reports
KYC Oversight
- Approve or reject verification requests
- Apply region-specific verification rules
Blockchain & Architecture
We built a hybrid blockchain-backed trading system to support real-time execution and transparent settlement.
Technology Stack
React.js
Polygon (EVM)
Ethereum Smart Contracts
Node.js
MetaMask / Web3 Wallets
OAuth 2.0 and OTP Authentication
Third-Party Sports Data APIs
Blockchain Oracles
AI / ML Algorithms for Fraud Detection
1. Polygon Blockchain & Smart Contracts
We deployed Ethereum-compatible smart contracts on Polygon to manage transaction custody, settlement, and payout logic. Every trade is recorded on-chain, giving users a verifiable record of outcomes while maintaining full control over their assets.
2. Hybrid Trading System
To handle active trading conditions, we designed an off-chain order matching system that executes trades instantly. Once executed, transactions are settled on-chain, ensuring each trade remains secure and auditable.
3. NegRisk Adapter
We implemented a position management layer to support multi-outcome markets. This allows users to move between outcomes and maintain position integrity even as odds shift across more than two possible results.
4. Oracles & Sports Data APIs
We integrated blockchain oracles to validate real-world event outcomes and ensure accurate market resolution. Live sports data APIs feed scores, statistics, and event updates directly into the platform, keeping trading aligned with real-time events.
5. Bet Lag & Slippage Management
To address execution delays during high volatility, we introduced transaction re-confirmation flows and pending state visibility, along with slippage tolerance controls that ensure trades are executed within user-defined odds ranges. The system also uses AI to monitor and flag suspicious activity such as multi-account abuse and bot-driven manipulation, helping maintain fair and reliable market conditions.
Technology Stack
Hi-Fidelity
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- SCF 98, Phase 11, Sector-67 Mohali, 160062
- [email protected]
- (+1) 628 432 4305
