Real-Time Stock Screener Using QuoteMedia API

@AwaisChaudhry

Hi there, I’ve built real-time financial tools and stock screeners with low-latency data pipelines, including setups that rely on market data APIs. I will design a robust real-time screener using the QuoteMedia API to monitor all U.S. equities and refresh metrics every second. My approach covers a scalable backend that streams prices, volumes, relative volumes, gaps, change from close, and short interest, with derived calculations as needed. I’ll implement a fast, responsive web UI where each ticker is clickable to pull the latest news from QuoteMedia News API, and I’ll optimize for throughput, parallel data handling, and fault tolerance to maintain accuracy under peak trading hours. Deliverables include source code, comprehensive docs, deployment instructions, and an architecture outline you can hand to your team. After setup, I can provide a fixed-price milestone plan and a realistic timeline. I will integrate monitoring and tests to ensure data freshness and error handling. 1) What is your target latency tolerance for each data pull and UI refresh? 2) Do you require any specific data normalization or unit conventions for metrics like relative volume and gap? 3) How many concurrent users do you expect on the front end? 4) What authentication and access control do you need for internal vs external users? 5) Do you need historical data retention and backfilling capabilities? 6) Which environments will you deploy to (cloud providers, containers, serverless)? 7) How will you ha

@Herculesz

Hi I can build a low-latency, real-time U.S. equity screener on QuoteMedia with 1-second updates, fast filtering, and a clean web UI that feels like a proper trading tool. My approach would use a streaming-friendly backend (Node.js or Python) with WebSockets, an in-memory cache (Redis) for hot tick data, and a relational store for reference data and configs. A common technical problem in 1-second scanners is UI “thrash” and backend overload when you naively refetch/republish the full universe every tick. I solve that by maintaining a live symbol roster, batching and diffing updates, publishing only changed fields, and using efficient client-side virtualization so thousands of rows stay smooth. For your derived metrics (RVOL daily, RVOL 5-min %, gap %, change from prev close), I’ll compute them server-side with consistent market-session rules and guardrails for partial data. The news panel will be wired via the QuoteMedia News API with a ticker-click event that loads headlines quickly and keeps the screener responsive. You’ll get well-documented source, deployment-ready setup, and a structure that can scale to more filters, alerts, and user presets later. Thanks, Hercules

@divumanocha

Hello, I came across your project and found it truly interesting. With over eight years of hands-on experience in this field, I have successfully delivered high-quality solutions to clients worldwide. My dedication to excellence is reflected in the 180+ positive reviews from satisfied clients. I’d love to bring this expertise to your project and ensure outstanding results. However, I do have a few important points I’d like to clarify to align perfectly with your vision. Let’s connect via chat, where I can also share relevant examples of my past work. I'm looking forward to hearing back from you! Best Regards, Divu.

@Tanmoy236

Warm Hello! I can build a low-latency, real-time U.S. stock screener powered by the QuoteMedia API that updates every second, scales cleanly, and feels responsive—similar in spirit to Warrior Trading’s scanner, without copying it. How I’d approach it Data ingestion: Persistent QuoteMedia streams/polling to maintain a live universe of actively traded U.S. equities. Metrics engine: Real-time calculation of price, volume, daily RVOL, 5-min RVOL %, gap %, % change vs. prior close, and short interest—derived where needed from QuoteMedia data. Low latency: In-memory caching, async processing, and WebSockets/SSE for 1-second client updates. News integration: Clickable tickers open a side panel with QuoteMedia News API results filtered per symbol. UI: Clean, fast web UI with sorting, filters, and column controls; responsive for large lists. Suggested stack Backend: Python (FastAPI) or Node.js (Nest/Express), async I/O, Redis for hot data. Realtime: WebSockets (or SSE) for push updates. Frontend: React with virtualized tables for performance. Deployment: Dockerized services; cloud-ready (AWS/GCP/DO) with autoscaling options. Deliverables Experience I’ve built real-time market dashboards and screeners using financial APIs (quotes, volume analytics, news) with sub-second updates and scalable backends.

@devendrathakur12

Hello, I specialize in building real-time stock tools and have built and customized large scale screeners that update every second without lag. The main challenge here is keeping data fast, accurate, and clean while tracking all U.S. stocks together. I am certified in Python and Node.js development, and I will solve this using a low-latency backend, WebSockets for live updates, and a smooth web UI similar to the Warrior Trading scanner. I’ll calculate all metrics directly from QuoteMedia data and keep it scalable. A few quick questions: Do you want pre-market and after-hours data included? Should filters update instantly while data streams? Do you expect future strategy-based alerts? How many users may run this at the same time? I’ll make it fast, clear, and trader-friendly. Best regards, Dev S.

@Sohail748

Hi there, I’m offering a 25% discount on this project. With experience in financial data integration and real‑time web applications, I will develop a dynamic stock screener that pulls live market data via the QuoteMedia API, allowing users to filter, sort, and monitor equities based on custom criteria. I’ll start by reviewing your screening requirements and QuoteMedia API documentation. I will then build a responsive web interface (using React, Vue.js, or similar) that connects to the API, displays real‑time quotes and fundamentals, and enables filters for price, volume, technical indicators, and fundamental metrics—with optional user accounts to save custom screens. You’ll receive a fully functional stock screener web application, hosted backend for API integration, and documentation on usage and maintenance. Let’s turn market data into actionable insights. Best regards, Sohail

@asifalimzd

Hello, I can build your real‑time stock screener using QuoteMedia API, optimized for low latency and high‑frequency updates, with integrated news feeds per ticker. What I’ll Deliver - Data Integration: Live list of all U.S. equities pulled from QuoteMedia API. - Metrics: Current price, volume, relative volume (daily + 5‑minute), gap %, change from previous close, short interest. - Real‑Time Updates: Refresh every second, optimized backend for scalability and performance. - News Integration: Each ticker clickable; opens a panel with relevant news articles via QuoteMedia News API. - UI: Responsive web interface with filtering, sorting, and clear visualization of metrics. - Reference: Functionality similar to Warrior Trading’s scanner (for inspiration, not duplication). - Deliverables: Fully functional screener, source code, documentation, deployment instructions. Approach 1. Architecture: Backend in Python (FastAPI) or Node.js for real‑time data handling. 2. Frontend: React or Vue for responsive UI and smooth updates. 3. Data Handling: WebSockets or server‑sent events for low‑latency streaming. 4. Optimization: Efficient caching, async API calls, and lightweight data structures. 5. Testing: Latency benchmarks, API reliability checks, and UI usability tests. 6. Deployment: Setup instructions for VPS/cloud environment, with monitoring tools. Thanks Regards, Asif Ali Zaman

@Feriver

Hi, I can build a low-latency, real-time stock screener powered by the QuoteMedia API, designed to reliably track all actively traded U.S. equities with one-second refresh intervals. The system will ingest live market data, maintain an updated universe of symbols, and compute required metrics including current price, volume, daily and 5-minute relative volume, gap percentage, percentage change from previous close, and short interest using efficient in-memory processing. The backend will be optimized for high-frequency updates, scalability, and stability, ensuring minimal latency even under heavy data loads. A clean, responsive web-based interface will present sortable and filterable results for fast decision-making. Each ticker will be fully interactive, opening a dedicated news view powered by the QuoteMedia News API to display relevant, real-time articles. The final delivery will include a fully functional screener, complete source code, API integration, documentation, and clear deployment instructions. The architecture will be modular and extensible, allowing future enhancements without rework while maintaining reliable real-time performance comparable to professional trading scanners. Regards, Asif Al Balushi

@shanec35

Hello, I have carefully analyzed your project requirements and previously worked on real-time financial dashboards where I integrated market data APIs to track U.S. equities with second-level updates, calculating metrics like relative volume, gap percentage, and intraday changes for active traders. Your project requires low-latency data handling with the QuoteMedia API, continuous monitoring of all U.S. stocks, real-time calculations, and a clean, fast interface similar to the Warrior Trading scanner. I will address this by designing an optimized backend for high-frequency updates, implementing efficient data calculations, integrating the QuoteMedia News API for clickable tickers, and building a responsive web-based UI focused on speed and clarity. I am available to begin work immediately and am fully committed to delivering a high-quality, scalable stock screener within the shortest possible timeframe. Kind regards, Elenilson

@juanjosec63

Hello, I’m excited about the opportunity to contribute to your project. With strong experience building low-latency, real-time web tools and integrating market data APIs, I can deliver a production-ready stock screener that streams all active U.S. equities, refreshes every second, computes your required metrics accurately, and stays performant at scale. I’ll tailor the architecture around QuoteMedia (quotes + news), implementing an efficient ingestion layer, fast calculations for relative volume/gap/change, and a clean web UI with filtering plus clickable tickers that open a news panel similar in workflow to the Warrior Trading scanner reference. You can expect clear communication, fast turnaround, and a high-quality result with clean source code, documentation, and deployment instructions that fit seamlessly into your workflow. Best regards, Juan

@jovani81

Hi, this is right in my wheelhouse. I’ve built real-time stock screeners and low-latency data pipelines where the key challenge was handling per-second updates across thousands of tickers without UI lag; I solved it with efficient streaming, in-memory caching, and async APIs. With 8+ years in production as a Machine Learning Engineer, I design fast, reliable data systems, integrate market APIs, and deliver clean, scalable tools ready for real trading workflows.

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam

@brayanstiven5

Hi, there, I am an experienced freelance engineer with a background in building financial data tools and trading platforms. My expertise includes working with high-frequency data updates and integrating APIs like QuoteMedia into real-time systems. ✅ Leveraging my skills in Python and Node.js, I will develop a low-latency, real-time stock screener using the QuoteMedia API. ✅ Implementing key metrics such as current price, volume, gap percentage, and more for all U.S. equities. ✅ Ensuring the screener operates with low latency and updates data every second for optimal performance. ✅ Integrating a news panel for each stock ticker, providing access to relevant articles from the QuoteMedia News API. ✅ Delivering a fully functional screener with source code, documentation, setup instructions, and a user-friendly interface. I look forward to working with you. Best Regards. Brayan

@Julian29

Hello, I have 10+ YEARS OF EXPERIENCE developing FINANCIAL DATA PLATFORMS, REAL-TIME DASHBOARDS, AND HIGH-FREQUENCY SYSTEMS, I understand the performance, accuracy, and architectural discipline this kind of product demands. I have reviewed your brief and fully grasp that you’re looking to build a LOW-LATENCY, REAL-TIME STOCK SCREENER powered by the QUOTEMEDIA API, capable of tracking ALL ACTIVELY TRADED U.S. EQUITIES with SECOND-BY-SECOND UPDATES and trader-focused metrics. My understanding of your core needs: LIVE MARKET DATA INGESTION from QuoteMedia Computation of PRICE, VOLUME, RELATIVE VOLUME (DAILY & 5-MIN), GAP %, % CHANGE, SHORT INTEREST 1-SECOND REFRESH RATE with optimized backend processing CLICKABLE TICKERS opening a dedicated NEWS PANEL via QuoteMedia News API RESPONSIVE WEB UI inspired by Warrior Trading scanners (feature reference only) Technical execution focus: REAL-TIME DATA PIPELINE optimized for low latency Scalable backend (Python / Node.js) with efficient caching Clean, filterable UI built for speed and clarity Delivery & collaboration: COMPLETE SOURCE CODE with documentation and setup guidance AGILE WORKFLOW with incremental validation 2 YEARS OF FREE ONGOING SUPPORT post-delivery Assistance from INITIAL SETUP THROUGH DEPLOYMENT & HANDOVER I have a few technical and data-handling questions to align expectations, which I’d like to discuss IN CHAT before proceeding. Awaiting your positive response. Thanks

@jackson325

Hello, I understand that you need a low-latency, real-time stock screener using the QuoteMedia API, designed to monitor actively traded U.S. stocks with frequent updates. My extensive experience in developing financial data tools and stock scanners positions me well to meet your expectations. In my previous projects, I successfully created a trading platform that processed high-frequency data and displayed real-time metrics efficiently. My focus on optimization ensured low latency and scalable solutions, which can be critical in a trading environment. ✅My Plan: - Leverage the QuoteMedia API to maintain a live list of U.S. equities. - Implement metrics display including current price, volume, and other required metrics. - Ensure data refreshes every second for real-time updates. - Integrate a clickable news feature that pulls relevant articles through the QuoteMedia News API. - Deliver comprehensive source code and documentation, along with setup instructions. Best regards, Hongqiang Chen

@sarbtech123

As an experienced Python developer with a specialisation in API development and Django, I am uniquely positioned to handle your project. What sets me apart from the competition is my history of building stable, efficient and scalable systems that can effectively harness large volumes of data in real-time. These traits are essential in fulfilling your core requirements for the construction of a low-latency stock screener. In addition to this, my skill set extends to automation and integrations, which will prove vital when working with the QuoteMedia API for sourcing and processing the financial data on US equities. My past work reflects my proficiency in this area, as I have developed solutions similar to those required by your project within both the financial sector and high-volume data industries. Finally, one of my key strengths is clear communication, which also emphasizes my commitment to regular updates throughout the course of a project. Therefore, if selected for this role, you can trust that you will be consistently apprised of progress and have peace of mind knowing that your project is being handled by a seasoned professional who understands the importance of on-time delivery without compromising quality. Let's make this happen together!

@mykhaylob4

✋ Hi there. I can build your real-time stock screener using QuoteMedia API that monitors all U.S. equities, updates every second, calculates key metrics, and displays a responsive, interactive interface with integrated news for each ticker. ✔️ I have solid experience building financial data tools, stock scanners, and trading dashboards using Python and Node.js. In a previous project, I created a low-latency stock screener that processed live market feeds, calculated derived metrics like gap and relative volume, and displayed clickable tickers with integrated news panels. ✔️ For your project, I will connect to QuoteMedia API, fetch all active U.S. stocks, calculate required metrics in real time, and design a web-based UI with filtering and sorting. Each ticker will open a news panel using QuoteMedia News API, and the system will be optimized for low-latency performance and scalability. ✔️ I will deliver the full source code, deployment instructions, API integration, and a functional interface ready for immediate use. Documentation will cover setup, maintenance, and any future scaling needs. Let’s chat to review your access, layout preferences, and expected launch timeline. Best regards, Mykhaylo

@Ahmedh058

Hi there, I’m Ahmed from Eastvale, California — a Senior Full-Stack Engineer with over 15 years of experience building high-quality web and mobile applications. After reviewing your job posting, I’m confident that my background and skill set make me an excellent fit for your project — Real-Time Stock Screener Using QuoteMedia API . I’ve successfully completed similar projects in the past, so you can expect reliable communication, clean and scalable code, and results delivered on time. I’m ready to get started right away and would love the opportunity to bring your vision to life. Looking forward to working with you. Best regards, Ahmed Hassan

@Ussama91

I can build a low-latency real-time stock screener using QuoteMedia API, monitoring all U.S. stocks, displaying key metrics, and updating every second. I'll integrate QuoteMedia News API for clickable stock tickers to view relevant news. I'll provide a fully functional screener, source code, documentation, and setup instructions, adapting to the proposed budget. Waiting for your response in chat! Best Regards.