Real-Time Market Depth FETCHING AND STORAGE from FYERS API using PYTHON

@MQamar123

With a wealth of experience in Python and over 7 years dedicated to creating data-driven solutions, I am undeniably the best candidate for your project. My expertise extends to fetching real-time market data and processing it effectively for essential analysis. Understanding your need to have live data written to a .csv file continuously for later use, I guarantee not only clean, well-commented source code but also a structurally-sound data storage format. Thank you for considering my bid! I look forward to working with you soon, helping you achieve efficient and effective market depth fetching and storage capabilities through Python with proficiency that guarantees high-performance deliverables. Let's talk more about how I can make this project turn out outstandingly together!

@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

@Algokage

Hello, I can efficiently deliver a Python solution to fetch and store 50-level market depth for 20 futures and options instruments from the FYERS API. I’ll handle auto-login setup using PYOTP or access token generation, fetch live data via WebSocket, derive instruments using formulas, and continuously save updates to CSV files with instrument-specific names. The code will be clean, well-commented, and ready for research and back-testing. With 5+ years of experience, I ensure a robust solution. Message me for samples or to discuss further. Thanks, Adegoke. M

@mubashir021

Hello, I see you need a Python developer to efficiently fetch and store 50-level market depth data from the FYERS API, and I can help you with that. I am Mubashir, a Full-Stack Developer with 6+ years of experience in data processing and automation using Python. I understand that capturing the live order-book snapshots continuously and saving them in well-structured .csv files for future analysis is crucial for your research and back-testing. 1. First, I will set up the auto-login to the FYERS API using PYOTP for seamless access, or generate an access token if necessary. 2. Then, I will implement a websocket connection to fetch live data for the NIFTY and BANKNIFTY indices, ensuring real-time updates. 3. After that, I will apply the required formulas to derive the OPTION and FUTURE instruments from the live data. 4. Next, I will subscribe to the full market depth and extract the 50-level data for each instrument. 5. Finally, I will write this data continuously into separate .csv files named by instrument and date, ensuring each file is organized for easy querying. Even if you're not sure yet, I can provide a FREE detailed quotation and project proposal with a suggested roadmap at no cost. This way, you can use my proposal as a solid reference document, regardless of your final decision. >>> My Work: https://www.freelancer.com/u/mubashir021 <<< Drop me a message and let’s get this sorted. Mubashir

@tamannarajput18

Hi, I’m Tamanna. I can build a robust Python-based system to fetch real-time market depth data from the FYERS API and store it efficiently for analysis. I’ll implement secure API authentication, continuous data streaming (WebSocket/REST), and structured storage using databases like PostgreSQL or MongoDB. The system will handle high-frequency data with proper error handling, retries, and logging. I can also add features like timestamping, data normalization, and optional dashboards for visualization. My focus will be on performance, scalability, and clean architecture so you can reliably use this data for trading insights or analytics.

@alfatrade2

Реализую полную интеграцию с FYERS API для real-time получения 50-level market depth данных по вашим инструментам. Настрою автоматическую аутентификацию через PYOTP с сохранением access token, подключение WebSocket для NIFTY/BANKNIFTY индексов, формирование OPTIONS/FUTURES инструментов по вашим формулам и непрерывную запись в отдельные CSV файлы с правильным именованием. Использую Python с asyncio для эффективной обработки множественных WebSocket соединений и buffered writing для минимизации I/O операций при записи market depth данных. Добавлю систему reconnection handling и data validation чтобы не потерять данные при временных разрывах соединения, что критично для непрерывного сбора биржевых данных.

@utsav007pandya

Ready to build your real-time market depth pipeline—can start immediately! ✔️ I have strong experience with Python, WebSockets, and financial data APIs, and I can reliably fetch and stream 50-level order book data for F&O instruments with high accuracy. ✔️ Recently, I developed a live trading data system that captured depth data, processed instrument logic (index → options/futures), and stored structured outputs for backtesting and analytics. ✔️ I’ll implement FYERS auto-login using PyOTP (or secure token handling), subscribe to NIFTY & BANKNIFTY streams, dynamically generate instruments, and capture full depth updates in real time. ✔️ Data will be written efficiently into separate, well-structured CSV files per instrument/date, ensuring no data loss and easy querying later. ✔️ Code will be clean, modular, and fully documented for scalability and future strategy integration. Let’s connect and build a robust, real-time data pipeline that powers your research and backtesting with precision!