Stock Data System

@vishal1145

Your Upstox integration will fail silently if you don't implement exponential backoff for API rate limits - market data feeds typically throttle at 250 requests per minute, and 500 symbols polled every 60 seconds puts you right at that edge. Without proper retry logic, you'll lose data during volatile trading hours when the API is under load. Before I architect the solution, I need clarity on two things: Does your Upstox plan support bulk symbol queries, or are you making 500 individual API calls per minute? And what's your acceptable data loss threshold - can you tolerate missing 2-3 minutes during network failures, or do you need a queue system that guarantees zero gaps? Here's the architectural approach: - PYTHON + ASYNCIO: Use aiohttp to batch API calls and reduce latency from 30s (sequential) to under 5s (concurrent), keeping you well within the 60-second polling window. - POSTGRESQL + TIMESCALEDB: Implement hypertables for automatic partitioning by date - this cuts query time for daily rollups from 8 seconds to 200ms when you're analyzing months of minute-level data. - CELERY + REDIS: Build a task queue that retries failed API calls with exponential backoff and stores missed polls in a dead-letter queue for manual review, preventing silent data loss. - PANDAS AGGREGATION: Generate daily summaries using vectorized operations that calculate OHLC stats across 390 minutes of trading data in under 1 second, exportable as CSV or HTML. I've built three similar market data pipelines for fintech clients that process 50K tickers per minute without missing a beat. I don't take on projects where API limits aren't mapped upfront - let's schedule a 15-minute call to review Upstox's rate limits and confirm your data retention requirements before I write a single line of code.

@mayankinnovative

Hi, As per my understanding: You need a lightweight, resilient ETL service that polls the Upstox API every 60 seconds for Market Cap data of ~500 equities, stores each timestamped snapshot in PostgreSQL, and generates an accurate end-of-day summary. The system must tolerate API limits, retries, and transient failures while ensuring zero duplicates and clean schema design. Fast initial delivery of a working pull-and-store cycle is important. Implementation approach: I will build a structured polling service (Python + async requests + PostgreSQL) with a normalized schema and indexed timestamp/symbol fields for efficient querying. A scheduler (cron or APScheduler) will trigger 60-second pulls with retry logic, rate-limit handling, and idempotent inserts to prevent duplication. Logging and error tracking will ensure observability. After validating 8+ hours of stable ingestion, I’ll implement an automated daily roll-up using SQL aggregations, exporting to CSV or generating a lightweight HTML dashboard. Delivery includes clean code, setup scripts, and a clear README for one-command deployment. A few quick questions: Do you already have PostgreSQL hosted? Will this run on a VPS or cloud instance? Preferred output format for the daily report? Do you need historical backfill support?

@abdf2010

Hello there, I reviewed your project Stock Data System and understood the requirements at a high level. I focus on delivering clear, stable, and maintainable solutions aligned with the actual scope, I can work with Python, Data Processing, NoSQL Couch & Mongo and follow a clean development process with proper structure and error handling. If this aligns with what you’re looking for, please come to chat to discuss further. Best regards

@fullstack0407

I’ve reviewed your requirement for a Stock Data System and I’m confident I can build a robust, scalable solution that handles data ingestion, storage, query performance, analytics, and real-time processing as needed; with experience in backend development and databases like PostgreSQL, I will design efficient schemas, optimize queries for performance, implement APIs or dashboards for accessing and analyzing stock data, ensure data integrity and security, and maintain clear communication with milestone-based delivery and thorough testing so your system works reliably under load, and I’m available to discuss your specific data sources, feature priorities, and timeline so we can begin promptly.

@AZTURK1

Hi there, I understand you need a resilient ETL service that polls Upstox every 60s for ~500 symbols, stores Market Cap into PostgreSQL with full timestamps, and emits a daily rolled-up summary. I can deliver a production-ready, well-documented solution and show the first working pull within days. - Implement a robust poller (selectable: Python + requests or Go) that queries Upstox every 60s for Market Cap and writes rows to PostgreSQL with minimal latency - Add retry/backoff, rate-limit awareness, idempotent writes (no duplicates) and transient-network handling - Provide end-of-day aggregator to generate CSV/HTML/light dashboard plus schema/init script and README Skills: ✅ Market Cap ✅ PostgreSQL ✅ ETL ✅ Deployment (systemd / cron scheduler) ✅ Reliability (retries, backoff, idempotent writes) ✅ Python + Pandas (or Go + pgx if preferred) Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 I can start immediately and deliver the first pull-and-store cycle within 2-3 days. Do you already have Upstox API credentials and can you confirm the allowed request rate (requests/min) so I can design retries and batching appropriately? Best regards,

@matin1106

Having worked in software and web app development for over a decade, I have extensive experience with the skills you are looking for, particularly in Node.js. Throughout my career, I've built and maintained numerous robust and reliable systems that track large amounts of data, à la your need to poll the Upstox API every minute for 500 equities. Resilience and scalability are the hallmarks of my work. I have always approached projects with a proactive mindset that accounts for network hiccups, API limits, and retries. And my proficiency in writing clean, well-commented code would simplify your database management while making future modifications a breeze. Moreover, as an experienced full-stack developer, I have used various tech stacks like React & React Native (for mobile), Express (for APIs), MongoDB (for data storage) over the years which make me adaptable to your chosen stacks. Working with me guarantees not only on-time delivery but also efficiency and effectiveness throughout the duration of the project. Let's get started together and build an efficient system that matches your needs!

@Sahyadri96

Completed projects till now 1) Python + DhanAPI +Excel + VBA option scalping strategy 2) Python 21 EMA and 9 EMA crossover strategy on DhanAPI 3) Google sheet + FyersAPI trading 4) Google sheet + Algomojo + Upstox 5) Tradetron Banknifty option scalping strategy 6) Excel 2600 NSE 10 years data 7) Copytrading using python 8) Tradetron Supertrend + MACD Crossover Strategy 9) Dhan option chain with Greeks in Google spreadsheet via Google Appscript 10) Backtesting of Nifty options for wait and trade strategy 11) Trigger orders for Dhan Nifty options 12) Shoonya API:- Wait and trade strategy 13) Tradetron: RSI + ADX + EMA strategy 14) Python Moving avarage channel trading Algo 15) Kotak Neo: Turtle scalping strategy for options 16) Fyers Filtered option chain in Excel I can deliver any project in Trading. Readymade setups for Python available

@growwithgdp

✅ I’ll build a Python (async) + PostgreSQL pipeline using httpx/asyncio to poll Upstox every 60s for 500 symbols, ensuring fast, non-blocking ingestion with retry + rate-limit handling. ✅ Data stored with indexed timestamps; daily rollup via Pandas/SQL → CSV or HTML dashboard auto-generated post-market. ✅ Deliver clean code, scheduler (cron/systemd), schema setup script, and resilient ETL workflow with logs & deduplication.

@shibbuquadir

At Paper Perfect, we have the skills and expertise needed for your Stock Data System project. Our proficiency in Node.js and Python uniquely positions us to create the reliable, high-performing system you need for polling the Upstox API and persisting data in PostgreSQL with minimal latency. We also have extensive experience in working with ETL processes and handling network hiccups, API limits, and retries gracefully. We prioritize producing clean, well-commented code to ensure maintainability. You can even expect a comprehensive README from us explaining all aspects of setup and cron/scheduler configuration. Considering our commitment to exceptional results within budget and on time, we are confident that we can deliver a working pull-and-store cycle within a few days. We understand how market volatility can impact data quality, so getting your feedback early to fine-tune the system is something we heavily emphasize. Let Paper Perfect be your partner in building this stock data solution - we won't just meet your expectations but exceed them!

@Hemantt841

Thank you for considering me for your Stock Data System project. The detailed requirements you've outlined truly caught my attention, and I am excited about the opportunity to work on this. With over 7 years of experience in software development, I have successfully completed projects that required real-time data processing and database management. For this project, I would leverage my expertise in Python and Pandas to efficiently poll the Upstox API every minute and store the Market Cap data in PostgreSQL with minimal latency. My approach to completing this project would involve: - Setting up a cron job to poll Upstox API every 60 seconds - Using Python scripts to retrieve data and write it to PostgreSQL - Implementing error handling and retries for network hiccups and API limits - Automating the generation of a daily summary report in CSV format - Providing clean, well-commented code and a detailed README for easy setup and configuration In a recent project, I developed a similar real-time data processing system for financial market data feeds, ensuring data integrity and accuracy. This experience has equipped me with the skills needed to meet the acceptance criteria you've specified. As I delve into this project, I am curious about your preferred method for consuming the daily summary report. Would you prefer a CSV file, an HTML page, or a lightweight dashboard for easy

@ghulamm501

As a highly skilled Flutter Developer with a solid background in Python, I am adept at problem-solving and crafting efficient, clean code—two key qualities that are indispensable for this Stock Data System project. Additionally, I have a deep understanding of API usage and integrating databases, making me the perfect fit for this task. Although I haven't directly worked on market data feed projects or utilized the Upstox SDK in the past, my experience in ETL operations has honed my ability to promptly capture, decode and store real-time data with minimal latency. Having worked with Firebase and REST APIs in various data-intensive projects, I am well-versed in handling network hiccups, API limits, and retries—skills that will prove invaluable for maintaining smooth data flows and ensuring minimal disruptions during heavy load periods. My expertise alongside your immense trading know-how can form a synergy that takes your business to new heights. In conclusion, I am confident that my extensive problem-solving skills, robust Python knowledge, and knack for clean code execution - backed by comprehensive Python + Pandas experience - position me as an ideal choice for your Stock Data System venture. Let's create magic together!

@DigitalNightOwl8

Hi , Good afternoon! 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 Data Management, NoSQL Couch & Mongo, API Development, Node.js, Data Processing, ETL, Elasticsearch, PostgreSQL, Python and Data Integration. 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.. Thank you

@ssldevmaster

Hi, I can easily DO your work IN 24 HOURS, DM me now to get started, PRICE NEGOTIABLE 100% Work satisfaction is provided

@QuickMentor

I’m an experienced Full Stack Developer skilled in JavaScript (React, Node.js, Angular), Python (Django, Flask), PHP (Laravel, WordPress), and mobile frameworks like Flutter. I build high-performing, scalable, and fully responsive web and mobile applications tailored to your business needs. I ensure clean, efficient code and timely delivery. To kick things off, I also offer a free initial consultation to fully understand your project requirements. Let’s discuss your project today and start building a solution that exceeds your expectations!

@Wizztron

I recently delivered a project with this exact scope. Your need for a clean, professional, and user-friendly system that polls APIs every minute and stores precise Market Cap data seamlessly into PostgreSQL is clear. The requirement for an automated daily summary report aligns perfectly with creating an integrated, reliable pipeline. My expertise includes building robust ETL solutions, handling API limits and retries gracefully, and writing clean, maintainable code with detailed documentation. While I am new to freelancer, I have tons of experience and have done other projects off site. I would love to chat more about your project! Regards, MN Williams

@ikramzafar1

I can build a robust, lightweight system to poll the Upstox API every minute for 500 equities and persist the Market Cap metric into PostgreSQL. Proposed Solution: • Poll Upstox every 60 seconds with retries for network/API hiccups • Store each data point with a timestamp, ensuring no duplicates and minimal latency • Auto-generate a daily summary report as CSV, HTML, or simple dashboard • Clean, modular, well-commented code with a README for setup, cron/scheduler, and database schema initialization Tech Stack: • Python + Pandas + SQLAlchemy (or Node.js + Knex, if preferred) for ETL logic • PostgreSQL for storage • Scheduler (cron or APScheduler) to automate pulls and daily reporting Deliverables & Milestones: First working pull-and-store cycle for review (within a few days) Resilient, production-ready polling service Daily summary report generation Full documentation for deployment and operation The solution ensures eight+ hours of trading data are captured reliably, reports match manual spot checks, and code is clean and maintainable.

@PetrusLubbe

‼️ IF YOU'RE NOT HAPPY YOU DON'T PAY ‼️ Partner, I understand you need a clean, professional, user-friendly system that seamlessly integrates with the Upstox API to automate Market Cap data collection every minute, store it reliably in PostgreSQL, and generate an automated daily summary report. I bring strong ETL skills, experience in building robust, automated jobs with clear, well-commented code. While I am new to freelancer, I have tons of experience and have done other projects off site, ensuring data integrity and minimal latency in similar environments. I would love to chat more about your project! COME CHAT WITH ME, WORSE CASE YOU GET A FREE CONSULTATION. Regards, Pietie Lubbe

@sakshigweb

Hello, You need a reliable minute-level polling service for ~500 equities via Upstox, storing Market Cap into PostgreSQL with clean timestamps, plus an automated daily rollup report. I can build this as a resilient ETL-style service using Node.js + PostgreSQL (or Python if preferred), structured for stability and clarity. Implementation approach: • Scheduled 60-second polling with controlled concurrency • Idempotent inserts (unique constraints to prevent duplicates) • Retry logic + exponential backoff for API/network issues • Lightweight schema optimized for time-series querying • End-of-day aggregation job generating CSV or simple HTML dashboard • Clear README with one-command setup (schema + scheduler) The focus will be minimal latency writes, clean indexing, and predictable behavior across full 8-hour trading sessions. I can deliver the first working pull-and-store cycle within a few days so we can validate data accuracy before layering reporting. My priority is building this cleanly and reliably from the start. Once we align on environment and deployment preferences, we can comfortably finalize timeline and budget. Looking forward to discussing this.

@arbazk710

Hi, I am a Full Stack Developer and Data Engineer with 5+ years of experience in building resilient ETL pipelines and financial market integrations. For this project, I will architect a high-performance polling engine using Python and SQLAlchemy to capture Market Cap data for your 500 equities every 60 seconds. My approach involves using asynchronous API calls to handle Upstox rate limits and a PostgreSQL schema optimized for time-series data with indexed timestamps. I will deliver a Dockerized solution that includes automated daily CSV/HTML reporting, robust error handling for network hiccups, and a single-command setup to ensure a "set-and-forget" reliable data flow. Let's Connect. Thanks