Nifty Options Python Developer

@maxscender

I can help you. I will build a robust integration with the XTS API, focusing on reliable socket connections for real-time Nifty options data and seamless order execution. I’ll implement a modular backtesting engine that accounts for slippage and transaction costs before transitioning the strategy to live trading. For visualization, I will use Dash or Plotly to provide clear performance tracking and Greeks monitoring. My approach ensures the bridge between market data and strategy logic is low-latency and handles API rate limits effectively.

@UzeeTech

Drawing on my 7+ years of Full-Stack Development experience, I believe I possess the unique blend of skills necessary to execute your Nifty Options Python Developer project with excellence. My proficiency in Python and experience with trading strategies, particularly options, make me well-suited to build and integrate an efficient Nifty options strategy. Moreover, my familiarity with the very API you wish to employ, and strong background in data visualization tools, will enable me follow your requirements for backtesting, live trading and real-time data utilization. Beyond these essential qualifications, I offer additional advantages. Firstly, my experience building AI-powered solutions pairs adeptly with the sophisticated demands of trading. This might prove crucial down-the-line as we seek to optimize your strategy further. Furthermore, my ability to communicate clearly and regularly, write clean-and-documented codes, and deliver projects punctually aligns neatly with your expectations for a proactive freelancer who gets the job done. Finally, a key reason clients repeatedly choose me stems from the fact that I don't just execute projects mechanically but also engage thoughtfully in the process - ensuring that our end-product aligns perfectly with their initial vision. Let's not just build a functional solution – let's create something exceptional that meets your specific goals.

@kingxanda

Hey, Thanks for your post. I'v read your description carefully. I have relevant experience I can help. some of my skills are: JavaScript, Python, Nodejs, EAs, trading etc Hope you're having a nice day my friend :)

@loxtic

Hi, how are you doing? I have solid Python experience around trading tools, options strategies, and live data feeds, plus hands-on work with backtesting, live execution, and data visualization. I’ve worked with market data APIs and built end-to-end setups that cover historical testing, real-time signals, and clear visuals to review performance. I can share code snippets and demos from similar projects 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

@souvikbasu

Hi, I'm a Python developer with experience building algorithmic trading systems and financial data API integrations — building a Nifty options strategy with backtesting, live trading, and data visualization on the XTS market data API is a clean, well-scoped project I can deliver. My approach: • XTS API integration — real-time Nifty options chain data, historical OHLC feeds, and order execution endpoints • Strategy engine — configurable options strategy logic (spreads, straddles, or custom) with clear entry/exit rules and parameter controls • Backtesting framework — historical simulations with P&L curves, drawdown analysis, Sharpe ratio, and win-rate reporting • Live trading module — paper and live modes with position management, risk controls, and order tracking • Data visualization dashboard — real-time charts for options chain, Greeks, P&L, and strategy performance using Plotly/Dash One question: do you have a specific strategy in mind (e.g., short straddle, iron condor) or should the framework be strategy-agnostic with configurable parameters? Can start immediately.

@niveditaj1

Hello There, As per my understanding you want a high performance Nifty options trading system integrated with the Symphony XTS API for both historical backtesting and live execution. I have hands on experience building institutional grade options execution engines and processing low latency multicast feeds for Indian derivative markets. I will give you a complete trading desk that turns your strategy ideas into automated profits while removing the emotional stress of manual execution. You will get a professional dashboard to visualize your Greeks and PnL in real time, allowing you to monitor your risk across multiple strikes at a glance. This setup ensures your orders are pushed to the exchange with microsecond precision, giving you the peace of mind that your entry and exit points are executed exactly when your conditions are met. I will develop the core logic using Python and the XTS interactive and market data SDKs to capture real time socket feeds for the Nifty option chain. I will build a vectorized backtesting engine using Pandas and NumPy to validate your strategy on historical tick data before going live. The system will feature a Matplotlib or Plotly based visualization layer for real time performance tracking and use a multi threaded architecture to manage heartbeats and order callbacks, ensuring the live trading engine remains resilient against network drops or API timeouts. Best regards, Nivedita Joshi

@windowravi9

Hi, I’m a Python developer with experience in algorithmic trading, options strategies, API integrations, and market automation. I can build and integrate a Nifty options strategy using the XTS market data API with backtesting, live trading, real-time data handling, and visualization dashboards. I have worked on trading bots, technical indicators, strategy automation, and financial data processing using Python, Pandas, FastAPI, and charting libraries. Ready to discuss the strategy logic and implementation plan.

@alluankit01

✨ Hi, I can build and integrate your Nifty options strategy in Python using the XTS market data API, with backtesting, live data handling, visualization, and live trading logic. I have experience with Python, options strategy automation, real-time market data APIs, backtesting engines, pandas, NumPy, Plotly/Matplotlib dashboards, entry/exit rules, stop-loss/target handling, trade logs, and risk controls. My first step would be to review your exact strategy rules and XTS API access, then separate the system into data feed, strategy engine, backtester, live execution module, risk manager, and visualization layer. I’ll make the tool practical for both testing and live use: historical performance reports, live option data processing, signal generation, order placement flow, P&L tracking, and clear logs for every trade decision. I’ll also keep the code modular so the strategy can be modified later without rewriting everything. Best regards Ankit

@bizvivo

Hi, I lead a team of software developers, data scientists and full stack engineers with 20+ years of combined experience in developing and deploying enterprise grade software solutions. We have several years of experience in automated trading bot development and can design bots based on indicators like RSI, MA, MACD, Bollinger bands, harmonic and Fibonacci. recently, we created an algorithm for trading based on advanced machine learning research. Looking forward to discussion, Best Regards, Radhika

@manoval09

Dear Client, Thank you for posting this project. I have extensive experience in Python. I'm confident I can deliver high-quality results: - Technical expertise: Proven track record with similar automation projects - Timeline: Efficient delivery with minimal delays - Support: Full testing and debugging included I'm ready to start immediately and am flexible with communication. I would appreciate the opportunity to discuss your specific requirements in detail. Best regards, Petrovich

@techmadigital

Hi, everything is already ready from my side. I just need to integrate your strategy with XTS API, live trading, and visualization flow. Come to live chat, I’ll show you live working bots and execution systems.

@ChadiS5

Options strategies fail in live markets when the backtesting layer isn't built to the same standard as execution. I build both ends with equal rigour. I'll integrate the XTS market data API in Python, build a clean backtesting engine for your Nifty options strategy, wire up live trading execution, and deliver interactive data visualisation — P&L curves, Greeks, drawdown charts — so you always know what the system is doing and why. Stack: Python, XTS API, Pandas/NumPy, Matplotlib/Plotly. Modular code so you can swap or extend strategies without rewriting the core. Message me with your strategy logic and I'll outline the build plan same day. Eng. Chadi Saliba

@cyrus580529

Hi, I can build the Python side of this as a practical XTS API trading tool, with the trading rules kept explicit and testable instead of hidden in a black box. My first step would be to confirm the exact option strategy: entry signal, exit/stop-loss/target rules, position sizing, instruments, timeframe, and whether you want paper trading before live orders. Then I would structure the work into three parts: historical backtest, real-time market data integration, and a simple dashboard/report for trades, P&L, drawdown, and signal history. For live trading, I would add safety controls such as dry-run mode, max daily loss, max trades per day, logging, and clear error handling for API disconnects. I will not promise trading profit, but I can deliver clean Python code that makes the strategy measurable, repeatable, and easier to review. Before starting, please confirm whether you already have XTS API credentials and whether the strategy rules are fixed or still need to be defined.

@juan99lizano

You need a Python developer to build a Nifty options strategy with backtesting, live trading, and visualization on the XTS market data API. I've built algorithmic trading systems in Python integrating broker APIs (Zerodha Kite, Upstox) for options strategies — including Greeks-based delta-neutral setups — with backtesting via Backtrader and live P&L dashboards using Plotly/Dash. Reduced manual trade execution time by 80% for one client. I can deliver: XTS API integration, a configurable options strategy engine (entry/exit rules, SL/target), backtesting module with performance metrics, and a real-time visualization dashboard — in 10–14 days. What specific Nifty options strategy are you targeting — directional (CE/PE buying), spreads, or premium-selling setups like strangles/iron condors?

@ApieTech

Hi, I've built Nifty options trading systems in Python before (backtesting + live execution + dashboards), most recently on Zerodha Kite and IIFL XTS Connect. A couple of things before I get specific: 1) Is the XTS API you're using IIFL's XTS Connect, or a different vendor's feed? 2) Do you already have a strategy in mind (straddle, iron condor, momentum-based), or should I propose one based on a backtest first? Suggested approach: start with the backtest module on historical data, validate the edge with you, then plug in the live trading layer + a clean dashboard for real-time PnL and Greeks. Happy to share code samples from similar work. - Rohan, APIE Tech

@rohithrreddy64

Hello, I’m a Python developer with experience building AI-powered backend systems, automation workflows, REST APIs, and real-time data processing applications. I can help develop and integrate your Nifty options trading strategy using the XTS market data API with support for backtesting, live trading, and visualization dashboards. My experience includes: • Python-based automation and API integrations • Real-time data handling and analytics • Strategy logic implementation and optimization • Building dashboards and visual reports • FastAPI, Pandas, NumPy, and data visualization tools For this project, I can build: • Real-time market data integration with XTS API • Modular options strategy engine • Historical backtesting system with performance metrics • Live trading execution workflow • Data visualization dashboards for monitoring trades and analytics • Logging, alerts, and risk-management features Suggested Stack: • Python • Pandas / NumPy • FastAPI • Plotly / Matplotlib • WebSocket integrations • XTS Market Data API I can deliver a clean, scalable, and well-documented solution optimized for future strategy enhancements and live deployment. Looking forward to discussing the strategy details and workflow requirements further.

@MDshimulBD

Drawing on my 7+ years of Full-Stack Development experience, I believe I possess the unique blend of skills necessary to execute your Nifty Options Python Developer project with excellence. My proficiency in Python and experience with trading strategies, particularly options, make me well-suited to build and integrate an efficient Nifty options strategy. Moreover, my familiarity with the very API you wish to employ, and strong background in data visualization tools, will enable me follow your requirements for backtesting, live trading and real-time data utilization. Beyond these essential qualifications, I offer additional advantages. Firstly, my experience building AI-powered solutions pairs adeptly with the sophisticated demands of trading. This might prove crucial down-the-line as we seek to optimize your strategy further. Furthermore, my ability to communicate clearly and regularly, write clean-and-documented codes, and deliver projects punctually aligns neatly with your expectations for a proactive freelancer who gets the job done. Finally, a key reason clients repeatedly choose me stems from the fact that I don't just execute projects mechanically but also engage thoughtfully in the process - ensuring that our end-product aligns perfectly with their initial vision. Let's not just build a functional solution – let's create something exceptional that meets your specific goals.

@fayazh7

? Hi! I'm Fayaz — a Full Stack Developer who builds end-to-end, production-ready web apps. I work across the entire stack — from designing clean REST APIs to building responsive, user-friendly frontends. My recent hands-on work includes: ✅ Django + Payment Gateway Integration — full backend with Razorpay webhooks, order management & signature verification ✅ CLI-based Trading Bot — backend logic, live API calls with HMAC auth, and a polished terminal UI ✅ Frontend Interfaces — responsive, modern UIs built with HTML/CSS/JS and React My Stack: Backend: Python, Django, FastAPI, REST APIs Frontend: React, HTML5, CSS3, JavaScript Tools: Git, Postman, ngrok, Linux Bonus: AI-assisted development (Claude, ChatGPT, Prompt Engineering) for faster delivery I'm a final-year Engineering student — hungry, fast, and focused. No inflated timelines, no vague updates. You get clean code, clear communication, and a developer who actually reads your requirements before writing a single line. What sets me apart: I debug independently and don't disappear when problems arise I document and comment my code properly I care about your end user's experience, not just making it "work" Drop me a message — let's build something solid. ?