Shoonya API Python Connection

@technologiesit

Being a Full Stack Developer with over a decade of experience, API Development and maintenance are daily bread for me. I have an extensive hands-on experience with the standard Python tools you mentioned like requests, websockets, as well as asyncio. I’m the perfect fit to fix the authentication flow issue in your Python-based trading setup on Shoonya’s platform. I won't let the session die by implementing my well-commented code modules which will handle multi-step login (OTP/token refresh) which provided by Shoonya Moreover, I will expose a minimal latency function that streams or polls real-time quotes specifically designed for your needs. These updates don't take much time. Not only I promise a sound solution delivered in record time, but also pledge continuity in support. Being aware of the significance of this project to you, I aim to deliver a high-quality python module with proper README documentation so that you can start using it right away. Let's get started and turn this bumpy login overhaul into a smooth journey!

@ashinnd84

Hello there, we are a team of Full Stack Developers. Please, send me a message to discuss the work and finish in no time. Thanks Ashish Kumar.

@prashanpatel557

Hello, I can quickly fix your Shoonya API Python connection and deliver a clean, reusable module for login + real-time quotes. Approach: • Handle new multi-step login (OTP/session/token refresh) • Maintain session with auto-refresh • Use requests + websocket/asyncio for low-latency data Module Features: • login() → handles authentication flow • get_quote(symbol) → real-time quote (poll/stream) • Auto reconnect + session keep-alive • Clean, minimal interface (plug-and-play) Code Quality: • Well-commented Python module • Error handling (timeouts, auth failure) • Lightweight and easy to extend Deliverables: • Python module (.py) • Test script (quick verification) • README (setup + API keys + usage) Timeline: Same day / within 48 hours I have experience with broker APIs and real-time trading connections, so this will be stable and quick. Question: Are you currently using Shoonya’s official Python SDK, or a custom request-based setup?

@loxtic

Hi, how are you doing? I have worked on Python-based trading integrations and built lightweight, robust sessions for real-time data with OTP/token refresh flows, plus simple APIs like get_quote for streaming quotes. I’ve used requests, asyncio, and websockets to keep latency low and sessions alive, and I can provide clear, well-commented code plus a short README for quick testing with your keys. I can deliver a compact module today or tomorrow, with a small test script and setup notes. Let me know if you want to share any specific environment details.

@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

@Madnikpvtltd

Hello, I understand Shoonya’s updated auth flow is breaking sessions and you need a clean, reliable Python module focused only on login + real-time quotes, and my approach would be: implement new multi-step authentication (OTP/token handling, session persistence, refresh logic) → secure token storage → websocket/async-based quote streaming (fallback to polling if needed) → lightweight wrapper function like get_quote(symbol) → error handling + auto-reconnect → minimal latency design → clean, modular code with clear comments and quick test script; I’ll keep it plug-and-play so you can directly integrate into your strategy layer, and I’ve worked on similar trading API integrations and real-time data pipelines, so if you need this fixed fast and stable, let’s connect.

@manoval09

**Proposal: Shoonya API Authentication Fix** Hi, I understand the frustration—a broken authentication flow in your Python trading bot means downtime and missed opportunities. I've successfully debugged and restored authentication flows in multiple trading/finance platforms, including REST API integrations with complex login overhauls. **Here's what I'll deliver:** 1. **Rapid diagnosis** of the new Shoonya login flow and identify the exact break points in your current code 2. **Authentication fix** implementing the updated OAuth/token handling correctly 3. **Testing & validation** to ensure your trading bot reconnects and operates smoothly 4. **Clean, documented code** so future changes are easy to manage **My relevant experience:** - 5+ years Python API integration (REST, OAuth, token-based auth) - Built/fixed trading bot infrastructure and data pipelines - Rapid API learning—Shoonya documentation + your codebase = quick turnaround - Debugged similar "post-update" authentication issues across fintech platforms **Timeline & deliverables:** - **3-5 days** for complete diagnosis, fix, and validation - **$600** covers the fix + documentation + one round of post-launch support - Clear communication—daily updates if needed **What I'll need from you:** - Access to your Python codebase (private, encrypted) - Current Shoonya API docs (if you have them) - Details on the exact error or behavior you're seeing Let's get your bot trading again. —Petrovich

@lightninglabs

I work extensively with Python trading APIs and have dealt with Shoonya (Finvasia) authentication flows before — their recent login overhaul (TOTP-based OTP + session token refresh) is a known breaking change. I'll deliver a clean Python module that: - Handles the new multi-step login: TOTP generation, OTP submission, session token storage & auto-refresh - Keeps the session alive with a background token refresh loop - Exposes a simple get_quote(symbol) function using WebSocket streaming for real-time quotes with minimal latency - Falls back gracefully to polling if WebSocket drops - Built on requests + websockets + asyncio (+ pyotp for TOTP) - Short README with setup instructions, env variable configuration, and a test script I can have this ready same-day. Please share your API credentials structure (or point me to the Shoonya API docs) so I can align the module to your exact environment. Ready to start immediately.

@maishiteffo

Hi, I can help with this specifically because the scope is tightly focused on the part that matters most in a trading setup: getting authentication stable again and keeping market data flowing with low latency; I work comfortably with Python integrations, API-driven workflows, session handling, token-based auth, and real-time data pipelines, so I can build you a compact, well-commented module that isolates Shoonya’s revised login flow cleanly, handles session renewal/keep-alive reliably, and exposes a simple quote interface you can plug straight into your own strategy code without unnecessary framework bloat; I also understand the urgency here, so I’d approach it as a practical delivery—module, README, quick test script, and clear configuration points for your credentials—so you can validate the connection fast and move directly into trading logic.

@Ujjanferoz

Shoonya auth breaks are a known pattern. I've handled similar reauth flows for Indian trading APIs—Zerodha, Finvasia, Shoonya. The multi-step OTP + token refresh you're describing is standard; I know exactly what you need. **You'll get:** • Bulletproof login module (new Shoonya spec included) • get_quote(symbol) streaming real-time quotes • Auto session refresh + reconnect logic • Minimal, well-documented code • Test script + README (plug-and-play) **Guarantee:** Same-day or next-day turnaround. If I hit any Shoonya API unknowns, I'll reach out immediately—no delays. **Why this works:** I focus only on what matters: connection stability + quote retrieval. No scope creep, no unnecessary features. You integrate, you move to strategy logic. **Bid:** ₹1,200 | **Delivery:** 18–24 hours *Can jump on a call to review current auth errors before starting—cuts debugging time in half.*

@NulznDev

I’m a strong fit for this project because I can focus on the exact layer that is currently blocking your trading setup: authentication stability and low-latency quote access. Shoonya’s API supports Python integration, session-based authentication, and WebSocket market data, so my approach would be to keep the solution compact and reliable rather than overbuilding it. I would deliver a clean Python module that handles the updated login flow, keeps the session alive, and exposes a simple interface for quote retrieval so you can plug it directly into your own strategy code. I also understand that speed matters here. Instead of mixing in order logic or strategy features, I would keep the scope tightly focused on connection reliability, readable code, and a short README so you can add your credentials, run a test, and move straight into development. That makes me a good fit for this job: I can deliver a practical integration layer quickly, with code that is easy to understand and extend.

@engabdullahh2

Hi! I am a System Architect & AI Engineer specializing in financial API orchestration. I build production-grade trading backends that prioritize session stability and high-speed data ingestion. I deliver minimalist, well-commented Python code designed for immediate integration into your trading pipeline. Shoonya’s recent API overhaul has broken your authentication flow, stalling your trading operations. You need an urgent, reliable module to handle the new multi-step TOTP login and maintain persistent sessions, alongside a low-latency get_quote function to restore your real-time data stream immediately. I will develop an asynchronous Python module using websockets and asyncio for the new Shoonya handshake. I’ll integrate pyotp for automated TOTP handling and implement a robust heartbeat mechanism to prevent session timeouts. The get_quote function will be architected as a high-speed listener, ensuring real-time symbol data is processed with minimal latency. Scope of Work Multi-step Login module (TOTP/Token Refresh). Async Session Heartbeat management for 24/7 stability. get_quote streaming function for real-time symbols. Test script and README for instant setup. Out of Scope Order execution or position management. Strategy/Bot development. Milestones Auth Core: Completion of TOTP and login handshake logic. Streaming: Implementation of WebSocket quote ingestion and final handover.

@ayushj293

Hi, I carefully reviewed your project “Shoonya API Python Connection” and I’m confident I can assist you in setting up and working with the API. I have experience working with APIs and Python, including handling authentication, data fetching, and integration. I understand the importance of a stable and error-free connection, especially for trading or real-time data systems. What I can help with: • Setting up Shoonya API connection in Python • Handling login/authentication securely • Fetching and processing data via API • Clean and well-structured code • Quick debugging and issue fixing I’m ready to start immediately and can adapt based on your exact requirements. Let’s discuss the details so I can provide the best solution for your project. Looking forward to working with you. – Ayush Jayswal

@Defensivedev

Hello, I can help you fix Shoonya’s updated authentication flow and build a clean Python module for reliable quote retrieval. I’ve already started testing the login + quote flow and understand the recent changes in authentication (OTP/token handling). I will implement: • Multi-step login with session handling • Token reuse / refresh mechanism • Simple function like `get_quote(symbol)` • Optional WebSocket or fast polling for low latency • Clean, well-commented module + README I’ll keep the solution minimal and focused so you can plug it directly into your strategy system. I can deliver within 24–72 hours and can share a quick test output during development. Let’s get your system back up quickly. Best regards

@kevinh353

❤️❤️❤️ Restore Shoonya login and quote access with a compact, reliable Python module. ❤️❤️❤️ ⫸ I’m a Python API developer experienced with broker integrations, session handling, and low-latency market-data workflows. ◆ What I’ll deliver: → I can implement the new Shoonya login flow with OTP/token refresh and keep the session alive. → I can expose a clean get_quote(symbol) interface for fast polling or streaming quotes. → I can include a short README and test script so you can plug in keys and start strategy work fast. ◆ Deliverables: → A well-commented Python module for login and quote retrieval. → Session maintenance and minimal-latency quote access. → README with setup, API key placement, and quick test steps. I’d use the official Shoonya Python wrapper or standard requests/websocket tooling because Shoonya documents login and quote access through its API flow, including login, token reuse, and market-data subscription. If you want persistent live quotes, I’d also structure the code so it can fall back between polling and websocket streaming depending on the endpoint behavior. A key point is matching the updated auth path exactly, since Shoonya’s recent login changes use OTP/TOTP and token refresh steps that must be handled cleanly.