Fyers Option Data Automation Alerts

@webmasters486

Hi there, I’ve carefully reviewed your project requirements, and with my extensive experience in developing Python scripts and applications, I’m confident that I can deliver a high-quality solution tailored to your needs. Whether it’s automation, data processing, or custom application development, I have the skills to ensure your project’s success. I’d love to discuss how I can contribute and help bring your vision to life. Feel free to check out my portfolio for more examples of my work: Portfolio: https://www.freelancer.com/u/webmasters486 Looking forward to hearing from you! Best regards, Muhammad Adil

@Rahulsingh5xz

Hello, My name is Rahul Singh from Team Velora, running successfully for 3+ years with a team experienced in Python, real-time market data streaming, and broker APIs like Fyers. We understand your requirement to stream option-chain data, implement user-defined crossover alerts, and provide a lightweight GUI with configuration for Windows. Let’s connect in the chat box to finalize the approach and start immediately.

@Sahyadri96

Readymade setups for fyers 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

@sumitwebrainbows

As an experienced .NET developer with a strong track record in building reliable Windows software, I'm confident that I can create a tailored Python-based script or small GUI app that aligns perfectly with your needs. My robust experience in working with APIs will prove decisive in pulling the live option-chain information you require from Fyers and smoothly stream it to your local application on Windows. More importantly, I specialize in delivering custom-built solutions that demonstrate low-latency data handling, adding value to real-time applications such as yours. In terms of your envisioned flow, my proficiency in building web applications using ASP.NET Core will come handy as I can help store the 'incoming feed' in a lightweight local database or CSV directory for thorough analysis. Rest assured, I'll ensure the tool gives you the ease of editing alert rules from a simple configuration screen or JSON file without necessarily disturbing the codebase. Finally, I take pride in fostering strong client relationships and believe in walking the extra mile to ensure my clients are comfortable with the deliverables. Hence, once we have a fully functional tool ready, I'd be happy to set up a short hand-off call or video walkthrough to guide you on how to run it seamlessly on your PC without any hand-holding. With me at the helm, we can expect nothing but timely and efficient delivery

@abhindandy

Hi, i am a python developer with 7+ years of experience as an algo strategy developer. I have experise in developing custom algo, and have developed all kinds of algo over the years. I can help you build this project. Ping me for further discussions.

@DrRevathiV25

Hello, I’ve reviewed your requirement for a real-time Fyers option-chain data automation with crossover alerts, and this fits perfectly with my recent work. I have recently developed a Swing Algo Options system using Python, where I handled live option data, indicators, crossover logic, and alerting. You can see the related review on my profile, and I can also showcase relevant code on GitHub to demonstrate structure and reliability. What I’ll build for you: Python-based script or lightweight GUI that authenticates with Fyers (API/WebSocket) and streams live option prices, volume, and open interest. Real-time processing engine to evaluate user-defined crossover conditions (MA cross, ratios, or custom logic). Instant alerts via desktop pop-up plus webhook or email, with precise trigger time and values logged. Local storage (CSV or lightweight DB) for historical analysis. Editable configuration (JSON or simple config screen) so you can change thresholds without touching code. Clear setup instructions and a short walkthrough call/video. I focus on low-latency data handling, clean architecture, and well-commented code, so the tool remains stable and easy to extend. I can start immediately once we align on symbols and alert rules. Best regards, Satya Eswari Revathi V.

@mrkk4ever

Dear Client I saw your requirements regarding to develop a screener applications using fyers api for an options using python. I can develop this application ASAP based your requirements. I developed many applications is similar to your requirements. Such as indicators, analysis applications, auto trading bot for various exchanges. Let share further details. Thanks and Regards Kannadasan K

@nadiad382

This project needs a clean, professional, user-friendly solution with a seamless, integrated experience. I focus on clarity, intuitive structure and making sure every part works smoothly together. No overcomplication - just a reliable, well-thought-out result that feels natural to use and easy to maintain. Your need for a real-time, automated alert system based on user-defined crossovers using Fyers API data is clear and I will ensure all data streams continuously and triggers alerts with minimal latency. I offer strong Python development skills, experience with API integration, real-time data processing, and user-friendly configuration interfaces. While I am new to freelancer, I have tons of experience and have done other projects off site. Message me today - let's build something that works for your business. Regards, Nadia Du Preez

@sachinsharmaiitd

Hi there, I specialize in building high-frequency data automation tools using Python and AsyncIO. I can build a robust alert system for your Fyers Option Data requirements. My Technical Approach: Fyers API Integration: I will connect directly to the Fyers V3 API to fetch Option Chain data in real-time. Zero-Lag Processing: Unlike standard loops, I use Python's asyncio library to handle multiple symbol checks simultaneously, ensuring you get alerts the millisecond a condition is met. Smart Filtering: I will implement the logic (e.g., OI crossovers, Price vs. Moving Average) efficiently using Pandas for speed. Reliability: The script will include auto-reconnection logic (in case the API disconnects) so you never miss a trade. I have experience building data pipelines that process 700k+ records, so handling option chain data is well within my expertise.

@Fel85

I can develop a Windows-ready Python application that connects to your Fyers account, streams live option-chain data (price, volume, and open interest where available), and triggers real-time alerts based on configurable crossover rules. The tool will authenticate using the Fyers API and subscribe via WebSocket to selected option symbols. Incoming data will be processed in real time, stored locally (SQLite or CSV) for later analysis, and continuously evaluated by an alert engine driven by a simple JSON configuration file—allowing you to adjust moving averages, ratios, or thresholds without modifying the code. Alerts will trigger instantly on any defined condition and include: • Windows desktop pop-up • Webhook notification (email optional) Each alert will be logged with exact timestamp and trigger values. The application will be designed for low latency and stability, with logging and automatic WebSocket reconnection. I will provide clear setup instructions so you can run everything locally on your PC, plus a short hand-off call or video walkthrough once the build is ready. I have strong experience building real-time Python systems using APIs, WebSockets, and data-processing pipelines, and I focus on clean, maintainable architectures. Estimated delivery: 5–7 days for a working MVP.

@RajGuptagg

Using python will be a mistake for this. Many Strike Price's data will be calculated simultaneously for crossovers. Ill use GO for building this. Instead of a python script I'll provide a desktop app written in GO usinf Fyne framework. To setup my own account on Fyers(for testing) I'll need one more day, excluding the 4 days of commitment. In addition to this, I will need an extensive discussion with you over google meet about Alert Rules and configuring them. This part is very personalized. Also regarding the database design since you mentioned that youll analyse them later. This also has to be specific. Day 1 -> Setting up logic for websocket connection and indicators calculation. Database schema Day 2 -> setting up Custom Alert Logic handling. Adding credentials handling. Day 3 -> Frontend + testing. Day 4 --> testing + tweaking. I'll keep you updated on the above mentioned milestones everyday. ?

@LiamKJ

Your core challenge is reliably capturing and analyzing live option-chain data from Fyers to enable instantaneous, user-configurable alerts without requiring ongoing developer intervention. Failing to implement low-latency, stable data streaming and flexible alert configuration risks missed signals or excessive manual upkeep. Leveraging focused experience with financial APIs and real-time monitoring systems, I deliver resilient solutions that seamlessly bridge brokerage feeds to local analytics with intuitive controls. Having executed similar projects outside this platform, I am offering a limited discounted rate to demonstrate value and establish credibility here. Let me know if you’d like me to outline the initial integration approach or clarify any requirements before we proceed. Liam Jasson

@VnMxMadMax

Hello, I can build a stable, low-latency Windows-based tool that streams live option-chain data from your Fyers account and triggers real-time alerts based on configurable crossover logic. I have experience working with broker APIs, WebSocket market feeds, and real-time data processing using Python. The solution will authenticate via the official Fyers API, subscribe to selected option symbols, and continuously stream prices, volume, and open interest. Incoming data will be processed in real time and optionally stored locally (CSV or SQLite) for later analysis. An alert engine will monitor user-defined conditions such as moving-average crossovers, ratios, or custom formulas. All alert rules will be editable through a simple JSON configuration file or a lightweight configuration screen, allowing you to adjust thresholds and logic without changing code. When a condition is triggered, the system will instantly show a desktop pop-up and send a webhook or email notification, while logging the exact trigger time and values. You will receive: • A working Python desktop script or app • Real-time alert engine with detailed logs • Editable configuration and clear setup instructions • Short hand-off call or video walkthrough Estimated delivery: 7–10 days including testing and hand-off. I focus on reliability, low latency, and clean design so the tool can be extended later if needed. Looking forward to discussing your requirements.