Multi-Timeframe Stock & ETF Trading Alert System with SMS Integration

@softsolution2000

I have extensive experience in PHP, JavaScript, Python, Software Architecture, and Node.js, making me a perfect fit for the "Multi-Timeframe Stock & ETF Trading Alert System with SMS Integration" project. I am confident in my ability to deliver a top-notch solution within your budget and timeline. Please review my 15-year-old profile to see my past work. Let's discuss the project details and get started right away. I am eager to showcase my commitment to this project. Thank you for considering my proposal.

@n2rtechnologies

Hi, You need a real-time VWAP deviation scanner that alerts traders via SMS—that's the backbone. Quick question: are you tracking multi-timeframe signals across specific sectors, or broad-market ETFs? We've built similar engines with Node.js + Python for the heavy lifting and Twilio for alerts. Message me to discuss the architecture. Best Regards, Hasan

@techplusintl

Hi, To build a production-ready engine that scans U.S. stocks and ETFs in real time, I will use Python and Node.js to ensure resilience and efficiency. I will implement the VWAP deviation detection and relative-volume spike alerts, integrating Twilio for SMS notifications. The system will monitor three timeframes simultaneously and apply configurable thresholds for ETFs and equities to minimize false signals. I will ensure the service maintains over 99% uptime during market hours and store all calculations for audit purposes. I will expose a clean API/webhook for easy adjustments to tickers and parameters without altering the codebase. The deliverables will include well-commented source code, an automated test suite, a Docker script for reproducible builds, and a walkthrough demonstrating live alert generation. Could you clarify if you have any specific preferences for the UI/dashboard? Also, do you have existing Twilio credentials? Feel free to share any additional details or files needed to start the project. Thanks!

@extreamcode

Hi there, Asad here , I’ve read your Multi-Timeframe Stock & ETFTrading Alert System brief and I’m confident I can deliver a production-ready engine with near-instant SMS dispatch and rock-solid auditability. I’ve built real-time market data pipelines, VWAP and relative-volume indicators, and Twilio-integrated alerting at scale. My approach is to merge a resilient Python/Node.js stack with Docker for reproducible builds, a lightweight web dashboard for health checks, and a clean REST/webhook API to toggle tickers, adjust thresholds, or pause feeds without touching code. What you’ll get: a three-timeframe (5m, 15m, swing) engine with ETF vs stock parameterization to minimize false signals, 99%+ uptime during market hours, and an audit log of every calculation. You’ll also receive a Docker-based deployment flow, an automated test suite validating VWAP, relative volume, and Twilio SMS delivery, and a short Loom-style walkthrough showing live alerts in action. A minimal UI/JSON dashboard will surface health, alerts, and logs. I’ve shared an initial estimate based on your description, and once we go over a few technical or functional details, I’ll confirm the exact cost and delivery schedule. For a smooth start, I propose a 14-day sprint with iterative demos and a staged deployment on a Linux VPS. What is your preferred latency target for SMS delivery under peak volatility, and would you like the system to retry failed messages with a backoff strategy or escalate via webhook?

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Real-Time Stock Scanner with VWAP Alerts Using Twilio ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a real-time stock scanner. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for stock market automation. I will create a robust engine that scans U.S. stocks and ETFs, detects VWAP deviations, and sends alerts via SMS using Twilio. The system will be built to ensure high availability and low false signals while providing a clean API for easy adjustments. ➡️ Why Me? I can easily build your stock scanning engine as I have 5 years of experience in financial automation, specializing in real-time data processing, alert systems, and API integration. My expertise includes Python, JavaScript, and Docker, ensuring a comprehensive approach to your project. ➡️ Let's have a quick chat to discuss your project in detail. I can show you samples of my previous work, demonstrating my capabilities in building similar systems. Looking forward to chatting with you! ➡️ Skills & Experience: ✅ Python Development ✅ JavaScript/Node.js ✅ API Development ✅ Twilio Integration ✅ Real-Time Data Processing ✅ VWAP Analysis ✅ Alert Systems ✅ Docker Containerization ✅ Automated Testing ✅ Data Analytics ✅ UI/UX Design ✅ Webhooks Waiting for your response! Best Regards, Zohaib

@WebTechDesignBG

Woah Hello, It looks like you're looking for a robust trading alert system that can monitor U.S. stocks and ETFs in real-time, focusing on VWAP deviations and relative-volume spikes. The goal is to deliver fast SMS alerts via Twilio while ensuring accuracy and minimizing false signals. I’d tackle this by setting up a system that runs concurrently across three timeframes, allowing for tailored configurations for ETFs and stocks. With 7+ years of experience in building similar automation, I can leverage technologies like Python or Node.js to create a resilient solution. I’ll ensure that alerts are dispatched swiftly, and implement a clean API for flexible management. Plus, I’ll provide thorough documentation and automated tests to guarantee functionality. Best regards, Ivan Mandinski

@iosifpeterfi

I'm Iosif Peterfi, 15+ years delivering resilient, security-minded tech solutions for finance and enterprise. This is my speciality: turning real-time market data into trusted, auditable alerts while enforcing risk controls and compliance. You're building a production-ready engine that watches U.S. stocks and ETFs across three timeframes-5-minute, 15-minute, and a swing interval-detects VWAP deviations paired with relative-volume spikes, and fires BUY or SELL alerts via SMS, with separate ETF versus stock thresholds, 99% uptime during market hours, and full audit-ready history plus an API/webhook to toggle tickers, adjust parameters, or pause the feed without touching code. I'll deliver a resilient, containerized service with clear deployment steps, a lightweight health/dashboard view, and an API for control. Business value comes from timely, accurate alerts, reduced risk from false signals, and auditable records that support compliance and governance, all while easy parameter tuning and future scalability. Last year I delivered a live market-alert system for a regional trading firm that combined price signals and SMS alerts. Despite noisy data, alerts remained reliable and latency stayed under five seconds in production, helping the team cut decision time and improve trust in the feed. In another retail-finance project, a similar setup achieved 99% uptime during market hours with zero missed signals in a full-day test window.

@rbtech1984

Hello There!!! ★★★★ ( Multi-timeframe stock & ETF alert system with SMS ) ★★★★ I understand you need a resilient engine that monitors U.S. stocks and ETFs across 5-min, 15-min, and swing intervals, detects VWAP deviations with relative-volume spikes, and triggers immediate SMS alerts via Twilio. The system must run with high uptime, store calculations for audits, and allow parameter adjustments via API/webhook without code changes. ⚜ Real-time scanning of stocks & ETFs across multiple timeframes ⚜ Detect VWAP deviations combined with relative volume spikes ⚜ Send BUY/SELL alerts instantly via Twilio SMS ⚜ Configurable thresholds for stocks vs ETFs ⚜ Log all calculations for audit and analytics ⚜ Expose API/webhook for control & parameter updates ⚜ Lightweight dashboard for monitoring and historical alert logs I have built similar automation using Python and Node.js with market data feeds, technical indicators, and Twilio notifications. I focus on clean, maintainable code, fast execution, and reproducible deployments via Docker. Warm Regards, Farhin B.

@waqaswebmaster

I specialize in architecting high-frequency trading engines that bridge the gap between "market volatility" and actionable SMS intelligence. For your VWAP and Relative Volume scanner, I move beyond basic API polling to implement Asynchronous Multi-Timeframe Logic. This ensures your 5m, 15m, and Swing intervals run in parallel without race conditions, firing Twilio alerts in under 5 seconds. Sub-Second Trigger Architecture: I’ll build the engine using Python (Pandas/NumPy) for vectorised technical calculations, ensuring VWAP deviations are caught the moment a candle closes. Dual-Threshold Filtering: I’ll engineer separate validation layers for ETFs vs. Equities, preventing "noise" signals by adjusting sensitivity based on the asset class's specific volatility profile. Resilient Webhook Control: I’ll expose a FastAPI/Node.js endpoint, allowing you to toggle tickers or adjust parameters in real-time without restarting the core scanning engine. Timeline: 5–7 Business Days for a production-ready VPS deployment. Should we hop on a quick chat to discuss which Market Data Provider (Alpaca, Polygon, or Interactive Brokers) you prefer for the real-time WebSocket feed? Best regards, Waqas Ahmad

@anirudhat

Building a real-time VWAP-deviation and relative-volume alert engine across multiple timeframes is exactly the kind of low-latency, high-reliability system I specialize in. I'd architect this in Python (asyncio + FastAPI) with Redis for streaming state and PostgreSQL for the full audit trail, running each timeframe scanner as an independent async task so a hiccup in one never blocks the others. Twilio dispatch will sit behind a deduplicated queue to guarantee sub-five-second delivery with zero duplicate alerts, and separate YAML config files for ETFs versus equities will keep threshold tuning dead simple. Everything ships Dockerized with a pytest suite covering VWAP math, volume spike logic, and SMS integration. I can start immediately.

@kareemmaize

Hi there To build a production-ready alert engine that detects VWAP deviations with relative-volume spikes across 5-minute, 15-minute, and swing intervals, the most critical part is keeping the signal pipeline accurate, low-latency, and fully deduplicated across timeframes. I’ll approach this by structuring the system as a real-time indicator engine with separate config layers for ETFs vs equities, then connecting it to a persistent audit store and Twilio dispatch flow so alerts stay fast, traceable, and easy to tune without code changes. This ensures the system is resilient during market hours and practical to operate day to day. This means I understand your goal is not just generating alerts, but delivering a dependable trading signal service with clean controls, historical visibility, and production-safe behavior. My process is simple: define market data flow and signal logic first build the multi-timeframe engine, API controls, and SMS pipeline test alert timing, deduplication, and full-day simulation behavior I’m ready to begin with the architecture and signal-rule design, then move into phased implementation..

@techsty2014

Interesting project, I will build your alert engine in Python — scanning stocks and ETFs across 5-min, 15-min, and swing timeframes, computing VWAP deviations with relative-volume spikes, and firing BUY/SELL SMS through Twilio under five seconds from trigger. Separate config files for ETF vs stock thresholds and a REST API for toggling tickers and parameters live. For speed, I will use WebSocket market data feeds with in-memory rolling windows per ticker per timeframe so VWAP stays current without repeated DB reads. Every calculation persists to Postgres for audit. Dockerized and fully tested. Questions: 1) Which market data provider do you have — Polygon, Alpaca, or another? 2) How many tickers at launch? 3) What interval for the swing timeframe — 1-hour, 4-hour, or daily? Send me a message and we can go over the details. Best regards, Faizan

@SmartCodeDev

Hello, I can build this production-ready VWAP + relative-volume alert engine for U.S. stocks and ETFs. I’ve implemented similar real-time market alert systems in Python, combining multiple timeframes, technical indicators, and Twilio SMS notifications for instantaneous trading signals. The engine will run 5-min, 15-min, and swing intervals concurrently, store all calculations for auditing, and allow fully configurable thresholds per ETF and stock. I’ll expose a clean API/webhook to toggle tickers, adjust parameters, or pause the feed without code changes, plus a lightweight dashboard for health checks and historical alert logs. Deliverables will include fully commented source code with a README, automated test suite, Docker container, and a short walkthrough showing live alerts firing. Alerts will trigger in under five seconds, with no duplicates or missed signals across all timeframes, using separate config for ETFs, stocks, and Twilio credentials. I’ve done a similar system that monitored crypto and equities in real-time, applying VWAP deviations and volume spikes, sending Twilio alerts; I can share a GitHub repo and a short demo Loom video on request.

@arslanshahid386

Hi there, I’m excited about your project to build a trading alert system for U.S. stocks and ETFs. You need a tool that can monitor multiple timeframes and detect VWAP deviations while sending SMS alerts through Twilio. With 4+ years of experience in developing similar real-time systems, I can create a robust solution that meets your needs. I’d approach this by leveraging technologies like Python or Node.js for seamless real-time data processing, ensuring alerts are triggered swiftly and accurately. I understand the importance of minimizing false signals, so I’ll implement configurable thresholds tailored to ETFs and stocks. Plus, I’ll include a clean API for easy management. One question I have is about the specific thresholds you’re considering for ETFs versus individual stocks. This will help me fine-tune the system to your expectations. Best regards, Arslan Shahid

@shakilan4

Hi, I can build a production-ready real-time market scanner that tracks VWAP deviations and relative volume across multiple timeframes, triggers instant Twilio SMS alerts (<5s), and provides a configurable API/dashboard with high uptime, clean logging, and Dockerized deployment. Best regards, Shakila Naz

@Techroj

Hi, I’d be happy to help build this system. I have professional experience as a freelancer developing real-time data processing tools, trading automations, and alerting systems that integrate with APIs and messaging services. I can design a reliable engine that monitors multiple timeframes simultaneously, calculates VWAP and relative volume signals, and triggers alerts through Twilio with minimal latency. My focus is on stability and clean architecture so the system runs smoothly during market hours while logging all calculations for auditing and analysis. I can also include a lightweight API or dashboard to manage tickers, adjust parameters, and review alert history without touching the core code. I’d be glad to walk through my approach and similar work over DMs. With regards, Rojan Uprety

@DigitalNightOwl8

Hey , Good evening! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in PHP, Node.js, Docker, Software Architecture, JavaScript, Twilio, Python and API. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Thanks and Regards

@edwardm38

Hello, I can deliver a production-ready real-time stock and ETF alert system that monitors multiple timeframes (5-min, 15-min, and swing intervals), detects VWAP deviations paired with relative-volume spikes, and sends BUY/SELL alerts via Twilio in under 5 seconds. The system will be fully configurable, highly reliable (99%+ uptime), and include complete logging for audit and analytics. You’ll get Docker deployment, automated tests, and a concise walkthrough showing live alerts in action. I’ve built similar market-data and Twilio notification systems before, so I can ensure this solution is robust, accurate, and ready for real-world trading. Best regards, Edward M.

@RadoslavPompura

With my breadth of experience in the realm of sports betting, web scraping, and application development, I am ready to craft your Multi-Timeframe Stock & ETF Trading Alert System with SMS Integration. I understand the gravity of real-time data in your project and have aced similar high-stakes projects before. Personally, I have developed many automated betting systems that harnessed bookie data like your project needs. I reckon you can appreciate the parallels between the real-time odds assessments and relitave-volume checks required by your system here. Above all these reasons what really sets me appart is my deep commitment to quality work. My codes are commented clearly for seamless deployment on a Linux VPS but that's just a start; my deliverables will also include automated tests proving accuracy of VWAP, relative volume, and SMS dispatch ensuring a perfect job through and through. Additionally, I will provide a sophisticated API/webhook interface empowering you to have total control over the tweakables while enjoying near realtime alert logs via SMS integration through Twilio