Option Scanner Data Integration, real time alerts and AI integration- Requirement document attached

@onkarkulkarni8

Hi, your "Option Data Integration & Alerts" project is right in my wheelhouse. I build modern JavaScript apps end to end — React/Vue/Next on the front and Node/Express on the back, in TypeScript where it helps. Working with javascript, python, api, signal processing, pine script, data integration, market analysis, financial apis, I focus on responsive, fast UIs, clean component structure, and reliable APIs — no page-builder shortcuts. I'll lock down the scope and key flows first, then ship in reviewable increments. Can we hop on a quick chat to align on your requirements? ⭐ 5.0/5 from a recent client: "Very Professional and On time delivery of the project" Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.

@vishal1145

Your Max Pain calculation will drift if the API throttles requests during high-volatility windows—NSE option chains update every second during expiry days, and most free-tier endpoints cap you at 1 request per 3 seconds. That latency gap will cause your signals to fire 20-30 seconds late, which kills edge in options. Quick question - are you using a paid tier API with websocket support, or polling a REST endpoint? And what is your acceptable signal delay threshold during 9:15-9:30 AM when OI swings are sharpest? Here is the architectural approach: - WEBSOCKET STREAMING: Maintain persistent connection to your data provider with automatic reconnection logic and heartbeat monitoring to avoid dropped frames during NSE circuit breakers. - REDIS CACHING LAYER: Store Call OI, Put OI and Max Pain snapshots in-memory with 500ms TTL so your strategy logic reads from cache instead of hammering the API during compute cycles. - PINE SCRIPT BRIDGE: Push processed signals to TradingView via webhook receiver since Pine cannot natively consume external APIs—I will build a lightweight Flask endpoint that your chart polls every bar close. - TWILIO SMS + PUSHOVER: Dual-channel alert system with fallback routing—if Pushover notification fails to deliver within 2 seconds, it auto-triggers SMS so you never miss a signal. - PARAMETER CONFIG FILE: JSON-based threshold controls for OI divergence percentage, Max Pain distance and cooldown periods between signals so you can adjust without touching code. I have built three similar real-time derivatives alert systems for NSE traders—one handled 12K option strikes across 40 underlyings without lag. Let's schedule a 15-minute call to confirm your API rate limits and finalize the alert delivery method before I start the build.

@Jennycreation

hello sir , i have 17 year experience tech industry i already built trading plateform where i use Zerodha/Alice blue/Angel/Profitmart api for trading order, buy/sell, square off possition /margin etc feature. we also did automated trading using amibroker csv file. let me know i can show you demo. i already work on many Cryptocurrency trading system . i can show you demo also and can do as per your requirement. We already Develop c# based Copy Trading software for crypto Exchange API Binance ,Bybit API and MT4 and MT5. in this software we can copy all master client Trades to All child clients. in this we also do Arbitrage trading from Binance To Bybit and Viceversa. software will use the official Binance And Bybit API. i can show demo for you. let me know your response. i have very good experience in Crypto project come on chat so that i can show my work on Crypto.. i can start work from right now

@prashanpatel557

Hello, I reviewed your requirement document carefully and have experience building Python-based trading scanners, broker/data API integrations, AI-powered dashboards, TradingView indicators, and real-time alert systems. I can develop a modular solution that includes: • Real-time options data ingestion with OI, Max Pain, and turnover filtering • Multi-timeframe technical analysis (RSI, EMA/SMA, GMMA, Camarilla, Keltner) • Breakout scanner with configurable rules and alerts • AI integration (OpenAI/Claude) for trade scoring, TP/SL suggestions, and daily performance reports • SQLite caching, role-based dashboard, Slack/MS Teams notifications • Pine Script overlay to display OI walls, Camarilla levels, and entry signals Workflow: 1. Data/API integration & database 2. Scanner engine & dashboard 3. AI layer & reporting 4. Pine Script overlay 5. Testing, optimisation & deployment I can start immediately and provide clean, well-documented code with deployment support. Best Regards, Prashant

@Algokage

Hello, I can deliver exactly what you need for your NSE and MCX option data integration project, building a real-time authenticated feed for Call OI, Put OI and Max Pain, adjustable signal logic, chart plotting that works with TradingView and instant mobile alert routing that runs reliably during Indian market hours, plus a clear redeployment readme. I have 5+ years of experience building similar market data and alert pipelines for Indian traders. Send me a message to see demos of past similar projects or to discuss any adjustments to your requirements. Thanks, Adegoke. M

@jagratip3

Dear Hiring Manager, I can build a real-time options analytics and signal system for NSE/MCX using direct integration with your chosen data-provider API (not broker feeds). I have strong experience working with real-time financial data pipelines, WebSockets/REST APIs, and trading signal automation systems. I will develop a lightweight, reliable service that streams Call OI, Put OI, and Max Pain during market hours, with efficient caching and stable reconnection logic. On top of this feed, I’ll implement customizable strategy rules to generate clear long/short option signals that you can easily fine-tune. I will also create a TradingView-compatible Pine Script (or alternative integration if needed) to visualize OI data and live signals on charts, along with a real-time alert system using push notifications, SMS, or WhatsApp integration based on your preference. The final deliverable will include clean, well-documented code and a simple README for easy redeployment and API key management. I am ready to start today and move fast once we finalize the API details and signal rules. Best regards, JP

@loxtic

Hi, how are you doing? I have considerable experience pulling real-time OI data and Max Pain from option markets, and I’ve built streaming services that authenticate, read via API or websockets, and cache metrics for quick decision making. I’ve also coded simple long/short signals and can add a TradingView Pine Script to visualise the readings and signals, plus quick alert routes to mobile. I can share previous work on NSE/MCX setups and chart integrations if needed. Let me know further if interested.

@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 17) Binance Bitcoin tradingview strategy python bot 18) Fyers Tradingview python bot 19) Dhan Python order manager I can deliver any project in Trading. Readymade setups for Python available

@anandan1995

I am from chennai Hello, I have read your job description and I am interested in your job post. I am ready to start now. Please send me a message to discuss more about your project, Can you please give me a chance I am a Senior Software Developer with over 8+ years of experience in designing and developing scalable web and desktop applications. I specialize in Microsoft technologies and delivering high-quality, secure, and performance-driven applications. My Expertise: Backend Development: ASP.NET, ASP.NET Core, MVC, Web API, Web Forms, Laravel, WCF Services Programming Languages: C#, Php Frontend Development: JavaScript, Angular, React, TypeScript jQuery, AJAX, HTML, CSS Database Technologies: SQL Server, MySQL Reporting Tools: Crystal Reports, RDLC, SSIS, SSRS

@fizaa170

Your project is more than an API integration—it's a real-time trading signal engine where reliability, low latency, and clean strategy logic are critical. I can build a service that securely connects to your chosen NSE/MCX data provider, streams or polls Call OI, Put OI, and Max Pain, caches the data efficiently, and generates configurable long/short option signals based on rules we define together. I'll also create a TradingView-compatible Pine Script (or recommend the best alternative if API limitations exist), integrate instant alerts via WhatsApp, SMS, or push notifications, and provide clear documentation for deployment, API key updates, and strategy configuration. The solution will be modular, optimized for Indian market hours, and designed so you can easily adjust thresholds or extend the strategy without changing the core architecture. Before we start, which market data API are you using (Sensibull, TrueData, GDFL, NSE Data API, etc.), and does it provide WebSocket support or only REST endpoints?

@mussaibb7

I'll focus on building a backend flow that integrates your chosen data-provider API, handling real-world API, deployment, and error conditions. This involves crafting a reliable, maintainable structure using Python and FastAPI. I've successfully tackled related work through Jarvis AI - Personal Automation Assistant. Here, I built a system to orchestrate 30+ automated workflows across scraping, system actions, and API-driven automation. This experience will help me navigate the complexities of integrating your data-provider API. My execution plan involves: - Designing a clean backend structure with error handling and deployment reliability in mind - Integrating the data-provider API and setting up environment instructions - Delivering a working backend flow with a README for future maintenance To ensure a smooth implementation, I need clarification on the deployment target, API boundaries, and whether this is a greenfield or existing service. Should the first milestone focus on a working backend flow or on hardening an existing service?

@arav38vilayatkar

With over a decade of experience as a data scientist, I have developed substantial expertise in Python that aligns perfectly with your project needs. Not only am I well-versed in powerful data manipulation techniques, but I also have an in-depth understanding of streaming API integration, caching and real-time data analysis - all crucial components for the successful execution of your project. My proficiency is not limited to raw coding however. I have consistently demonstrated my ability to create practical business intelligence solutions that cater specifically to unique business needs. This means, in addition to delivering a robust script or small service as required, I will be fully involved in transforming the raw data into practical trading signals that leverage these three metrics. My aim is always to ensure my analysis helps drive concrete business actions just as you anticipate. More significantly, I understand the acute concerns around system performance and reliability when dealing with real-time data, which are extremely paramount given the nature of Indian market hours. My experience with data-driven projects on a large scale has helped me develop debugging and problem solving skills essential for running your solutions reliably. Moreover, I have firsthand experience optimizing thresholds and can elegantly accommodate any changes you might foresee in the future thanks to concise documentation

@Geetam00

As an experienced full-stack developer and data enthusiast, I am primed to integrate your chosen data-provider API and build the comprehensive solution you need for trading options on NSE and MCX. With proficiency in JavaScript and Python, I possess the technical skills necessary to effectively pull and process real-time data, translating it into robust trading signals. In addition to my development capabilities, I understand the nuances of Indian market hours automation and appreciate the importance of a stable and adjustable solution. Your strategy logic for flagging long or short opportunities would be implemented with utmost precision. Moreover, my proficiency with TradingView-compatible approaches such as Pine Script will ensure that we effectively visualize the OI readings and strategy signals on live charts. What truly sets me apart is the relentless passion I bring to every project. Client satisfaction is at the core of what I do: And this means listening to your needs, understanding your business goals, and tailoring solutions accordingly. Having delivered over 1000 projects with 100% client satisfaction rate, I assure you reliable top-quality work that aligns precisely with your vision. Let's collaborate to create a practical trading solution that not only meets but exceeds your expectations!

@shaunv9

We recently helped a business improve their online platform and streamline their digital experience, which led to better engagement and smoother performance across their website. We can help you create a clean, professional, and user-friendly solution that aligns with your goals and delivers a seamless experience for your users. I noticed you’re looking for something that feels modern, integrated, automated, and easy to use, while still maintaining strong performance and reliability throughout the project. We specialize in full-stack development, responsive web applications, API integrations, backend systems, and scalable solutions using modern technologies. We have 75+ 5-star reviews on similar projects and rank in the top 1% among 75 million users! I'd love to chat about your project! The worst that can happen is you walk away with a free consultation! Regards, Shaun.

@bhargav922002

Hello, My name is Bharghav, and I bring over 10 years of experience in custom financial data integration, specializing in Python and JavaScript. I focus on building real-time data pipelines and algorithmic trading solutions that connect directly to market APIs. I understand you need a reliable system to fetch Call/Put OI and Max Pain data for NSE and MCX options, generate trading signals, and stream alerts. I will build a lightweight Python service to authenticate with your data provider, pull real-time metrics using websockets, and store them in an efficient local cache. On top of this feed, we will code the long/short strategy logic with adjustable thresholds. To handle the visualization, I will develop a Pine Script to plot these live OI metrics directly on your TradingView charts. Finally, I will integrate a JavaScript-based webhook or Twilio API to route instant alerts directly to your phone via SMS or WhatsApp, and deliver a clean documentation guide for easy redeployment. Let's start a chat to discuss your API provider and fine-tune the strategy parameters. Best regards,

@arshkumar213

Hi, I can build this end-to-end solution. I have experience with JavaScript, Python, API integrations, TradingView/Pine Script, and real-time data processing. I'll develop a reliable service to fetch Call OI, Put OI, and Max Pain, implement configurable long/short signal logic, create TradingView visualization, and integrate instant mobile alerts (WhatsApp/SMS/Push). The code will be modular, well-documented, and easy to maintain and customize.

@CauaAlves

Dear Client, I understand you need real-time Option Data Integration (Call OI, Put OI, Max Pain) from a data provider API for NSE/MCX, with trading signals and alerts. I will deliver: Robust script/service pulling data via API (polling or WebSocket) Strategy logic for long/short signals (adjustable parameters) Pine Script for TradingView charting with OI and signals Instant mobile alerts (WhatsApp/SMS/push) Clean, documented code with easy redeployment Tested during market hours, reliable and fast. Ready to start immediately. Which data provider API are you using? Looking forward to it.

@ammad1709

This project needs a reliable market-data pipeline first, then strategy logic on top. I can build it as a small Python/Node service that connects directly to your chosen data-provider API, authenticates securely, pulls Call OI, Put OI, and Max Pain for NSE/MCX options, and caches the values efficiently during market hours. I’d structure it like this: * API integration via polling or WebSocket, depending on provider support * Clean storage/cache layer for live OI and Max Pain values * Configurable strategy logic for long/short option signals * Thresholds kept easy to edit without touching core code * Signal logs for debugging and later tuning * Mobile alerts through WhatsApp/SMS/push notification * README for setup, redeployment, and key rotation For TradingView, I’ll be honest: Pine Script cannot directly call arbitrary external APIs, so I’d first check the exact provider and then use the cleanest compatible route — Pine plotting if the data is available inside TradingView, or an external signal service with alert routing if not. I can also add a lightweight dashboard if you want to monitor OI, Max Pain, and generated signals outside TradingView. Before starting, I’d need the API documentation, instruments to track, update frequency, and your first version of signal rules so we can build the MVP cleanly and tune it after live testing.

@Lighthour

Hi — this is right in my wheelhouse. I build options-analytics and alerting tools for the Indian market, and my recent work lines up almost exactly with this brief: • Options data (Call/Put OI, Max Pain): I've built OI-tracking and options-analytics tools that pull and process live NSE option-chain data. • Pine Script / TradingView: I have a merged pull request in PineTS, the open-source Pine Script → TypeScript engine, so Pine Script logic and TradingView-style charts are familiar territory. • Mobile alerts: I built a self-hosted WhatsApp messaging API plus email/SMS alerting, so WhatsApp/SMS/push routing is something I've already shipped. What I'll deliver: • Authenticated integration with your NSE/MCX data provider (WebSocket/polling) for Call OI, Put OI, and Max Pain • A strategy engine generating long/short signals with adjustable thresholds • Pine Script / TradingView-compatible chart visualization • Mobile alerts via WhatsApp, SMS, or push • Deployment documentation so you can configure it independently • Reliable operation through Indian market hours, with auto-reconnect on the live feed A few quick questions to scope it precisely: 1. Which data provider/API are you using (e.g., Global Datafeeds, TrueData, or a broker API)? 2. WhatsApp, SMS, or push for alerts — any preferred provider? 3. What core strategy/signal rules do you want at launch?