ESX Trade: Crypto & Stock Trading App Case Study

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

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.