The web development process using WordPress begins with requirement analysis and planning, followed by wireframing and UI design to define the website structure. The site is then developed and customized using themes and plugins, with necessary API and third-party integrations. After thorough testing, performance optimization, and SEO setup, the website is deployed to a live server, followed by ongoing maintenance and updates for security and scalability.
Oihelper Trading Analysis Platform Case Study
Client
Oihelper
Industry
Trading Analytics
Headquarters
India (Serving Global Traders)
Services
Financial Data Analytics
5 Months
Oihelper is a FinTech SaaS platform that transforms complex options trading data into actionable insights. It provides real-time open interest analysis, option chain tracking, and market sentiment indicators through a clean, interactive dashboard to help traders make informed decisions.
The platform follows a subscription-based SaaS model with a secure login system, responsive dashboard UI, and scalable backend architecture for handling live financial data.
Traders struggle to interpret complex option chain data and open interest movements, leading to emotional and inconsistent trading decisions. They often rely on scattered information and manual analysis, which increases risk and reduces accuracy. Without structured analytics and clear visual insights, identifying strong support, resistance, and market sentiment becomes challenging.
Oihelper simplifies complex option chain and open interest data into clear, real-time analytics. It provides structured insights on support, resistance, and market sentiment through an intuitive dashboard, enabling traders to make confident, data-driven decisions while reducing emotional bias and risk.
Process Web Development Using WordPress
App Flow
Users sign up and log in to access the dashboard, where live market data and option chain information are fetched through integrated APIs. The system processes open interest changes, PCR values, and strike-level data to generate structured insights. These analytics are displayed through an interactive dashboard with support, resistance, and sentiment indicators. Users analyze the insights, make trading decisions, and manage their subscription within the platform.
Wireframing
Wireframing is the process of creating a structured layout blueprint of the application before development begins. It defines the page structure, content hierarchy, user flow, and placement of key elements such as dashboards, charts, navigation menus, and data panels. This stage helps visualize the user experience, identify usability improvements early, and ensure a clear, conversion-focused design before moving into UI development.
Web Application Design
Oihelper is designed with a modern, data-focused SaaS interface that prioritizes clarity, speed, and usability for active traders. The application follows a clean dashboard layout with a left-side navigation panel for quick access to key analytics modules such as Open Interest, PCR, Option Chain, and Multi-Strike OI.
The top navigation bar provides quick actions including symbol selection, time interval filters, expiry date selection, and user authentication (Sign In / Sign Up). Real-time data updates are clearly displayed to ensure transparency and accuracy.
The core dashboard area features interactive charts and visual indicators that simplify complex options data into easy-to-interpret insights. A soft color palette with highlighted action elements enhances readability while maintaining a professional FinTech aesthetic.
Styleguide / Design System
Results
Improved Trading Accuracy
Structured open interest and option chain analytics helped traders identify stronger support and resistance levels, reducing guesswork in entry and exit decisions.
Faster Market Interpretation
Real-time data processing and visual dashboards enabled users to analyze market sentiment within seconds instead of manually scanning raw option data.
Data-Driven Decision Making
By transforming complex derivatives data into actionable insights, the platform reduced emotional bias and increased confidence in trading strategies.
Scalable SaaS Performance
Built with a scalable architecture, the platform efficiently handles live market data while supporting multiple users under a subscription-based model.