Zerodha F&O Algo Implementation

@vishal1145

Your non-directional F&O strategies will fail in live markets if the system doesn't handle Zerodha's order rejection edge cases - specifically when NSE throttles API calls during high volatility or when margin requirements spike mid-trade. I've seen three algo traders lose ₹2-4 lakhs each because their scripts didn't implement proper order state reconciliation after network timeouts. Before architecting this, I need clarity on two things: What's your target capital allocation per strategy, and are you running multiple strategies simultaneously? This determines whether we need position-level margin tracking or portfolio-level Greeks aggregation. Second, what's your tolerance for slippage on option spreads - are you okay with 0.5% slippage per leg, or do you need smart order routing that splits large orders across price levels? Here's the architectural approach: - ZERODHA KITE API: Implement WebSocket streaming for tick-by-tick Greeks calculation and REST fallback with exponential backoff to handle rate limits (3 requests/second). I'll add idempotency layers so duplicate orders never get placed during retries. - PYTHON + PANDAS: Build a vectorized backtesting engine that simulates order book depth and realistic fill prices - not just closing prices. I'll include transaction costs, STT, and intraday margin requirements so your Sharpe ratio reflects actual P&L, not theoretical returns. - OPTIONS PRICING: Calculate live IV surfaces using Black-Scholes with volatility smile adjustments. The system will auto-adjust strikes when realized vol deviates more than 15% from your entry assumptions, preventing blowups during event-driven moves. - AWS DEPLOYMENT: Dockerized microservices on ECS with CloudWatch alarms. If the strategy hits 70% of max loss or margin utilization exceeds 80%, it'll auto-square positions and send you a Telegram alert before things get worse. - RISK CONTROLS: Hard-coded circuit breakers - no strategy can exceed predefined notional exposure, and the system force-exits all positions 15 minutes before market close to avoid assignment risk on ITM options. I've built similar systems for two prop desks trading NSE derivatives - one scaled from ₹10L to ₹1.2Cr daily turnover without manual intervention. I don't take on projects where the trader hasn't defined their edge clearly, so let's get on a call to walk through your strategy logic and failure scenarios before we write a single line of code. If your backtests show consistent alpha and you're serious about risk management, we'll have this live in 3-4 weeks.

@NEHABHAT92

As a developer with a strong background in Node.js, I can confidently handle the task of automating your F&O trading strategies. My years of experience in web and mobile development have invariably honed my problem-solving and analytical skills – qualities which are indispensable in algorithmic trading. In addition to my programming prowess, I perfectly match your Zerodha stack requirement. I'm quite familiar with the Zerodha's Kite API - its functionalities, commands, and limitations. This could ensure the smooth execution of your project from day one. Furthermore, having an AWS instance for hosting will significantly speed up the implementation phase. Nevertheless, we can explore other cloud setup alternatives if you find them more efficient. Once deployed, I would provide you with real-time updates using Slack or Telegram or e-mail alerts, and a lightweight dashboard for modifying and squaring-off orders – keeping you in full control of your trades even when market hours are in play. To complement my qualifications, you can access my Github account where I have snippets of similar projects that demonstrate robust strategies implemented for automated trading. I am fully committed to delivering a production-ready solution that meets your satisfaction. With me on board, clarity, stability, and risk controls will be the guiding principles throughout the execution phase of this project. Start-> Happy Journey

@deepak7737

hey i have 11 years of experience in trading and developing strategy F&O. Also, I can code your strategy in python and I have made many trading bots on Dhan Fyers and zerodha Let me know when we can speak

@Ussama91

Automate my trading workflow by codifying non-directional strategies in Python, integrating with Zerodha's Kite API, and deploying a live dashboard for order management, complete with safety checks, alerts, and documentation, adapting to the proposed budget and leveraging my existing Zerodha account and AWS instance. Waiting for your response in chat! Best Regards.

@prabhathk5

Thanks for sharing the details. I’ve reviewed your requirement and would be glad to discuss it further. I’m Prabhath, an experienced MQL4/MQL5, Pine Script, Python, and C++ developer specializing in automated trading systems and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5, TradingView, and standalone platforms. Along with MQL5 systems, I also build fully automated trading software in Python and C++ for Indian stock markets and global exchanges (US, EU, and others). These solutions can be tailored for stocks, indices, futures, forex, and crypto based on project needs. As an active trader, I work with ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic, ensuring each strategy follows the client’s trading methodology. My expertise includes institutional-grade EA and indicator development, ICT/SMT-based trading systems, Pine Script automation, Python and C++ systems for Indian and global markets, backtesting, paper trading and live trade integration, strategy optimization, and low-latency execution. I also fix, optimize, and enhance existing trading systems to make them stable and production-ready. Where permitted, I can share demos or walkthroughs of previously completed projects while respecting client confidentiality. Thank you for your time and consideration.

@Algokage

Hello, I can efficiently deliver your Zerodha F&O algo implementation focusing on non-directional strategies like iron condors and calendar spreads using the Kite API. I’ll provide clean Python code, historical back-tests with detailed metrics, live deployment scripts with safety checks, and alerts via Slack/Telegram/email. I’ll also include basic documentation for easy parameter adjustments. With 5+ years of experience in algo trading and familiarity with AWS, I’ll ensure a robust, production-ready solution. Send a message to see samples of similar work or discuss further. Thanks, Adegoke. M

@DigitalNightOwl8

Hello Mate!Greetings , Good morning! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in Python, Backtesting, Pine Script, Financial Analysis, C++ Programming, Java, Software Architecture, Node.js and API. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Thank you

@nageshsrivastav9

With over a decade of experience as a web developer, Python specialist, and Selenium expert, I am confident that I can tackle the nuances of your Zerodha F&O Algo Implementation project with ease. Automation is my specialty, and with extensive expertise in CSV and Excel manipulation, I can bring unparalleled efficiency to your trading strategies. Moreover, my proficiency in Software Architecture ensures that the final solution will be clean, well-commented, and scalable. As part of my comprehensive approach to this project, I would provide detailed historical back-tests along with clear performance metrics for a thorough analysis of each strategy's viability. My aim is to deliver not just a quick script but a production-ready solution that is robust and reliable. Additionally, my mastery over API integration including Zerodha’s Kite API will allow for seamless order routing and data processing. Lastly, my commitment to quality does not end with the completion of the project. I provide full support post-project delivery to ensure smooth operations and address any future enhancements or issues. With me on your team, you can gain confidence in your non-directional strategies knowing that they are optimally deployed during market hours with all necessary safety checks enforced. Feel free to reach out; let's make automation work for you!

@jowharfazal

Hi, I can get your algo trading app (web app) developed and delivered as per your requirement, namely: - non-directionaly strategy selection or alternatively, a strikes selection so as to build a strategy. - other configurable parameters (with a config page) - execute trades on Zerodha based on strategies that are set to be 'active' I have more than 30 years of programming experience and I have delivered algo apps here on freelancer. I have been trading for more than 7 years and have used python scripts.

@coretus

Hey, I’ve already built an AI-powered algorithmic trading platform that automates strategy execution and monitoring across multiple brokers including non-directional setups like iron condors, straddles, and calendar spreads. I’ve worked hands-on with Zerodha Kite, AWS, and low-latency data feeds. Estimated timeline: 10–14 days for full backtest + live-ready deployment Output: Well-documented codebase + deployment guide If you’re looking for something you can trust to run during live hours not just a backtest script, I can deliver that. Best regards, Anil

@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

@KaleRiddhesh

Ok I can give you a full Python Code that will fetch live options data from API. You will be able to select stratgies like iron condors from Sensibull or custom logic based directly from admin login page for you. You can track live P&L , place orders and much more just like everything you need I can get it done. If you are focused about quality work you can assign me without zero doubts. Thanks

@Hemantt841

I understand that you’re looking to automate your trading strategies in the Indian Futures and Options market, specifically focusing on non-directional strategies like iron condors and short straddles. You need a robust

@ixorawebmob

Hello, I’ve gone through your project details on automating your futures and options trading. This is something I can definitely help you with. With over 10 years of experience in developing robust trading algorithms and hands-on expertise with Zerodha’s Kite API, I focus on building clean, well-documented code that is both scalable and secure. I'll ensure that the strategy logic is implemented effectively, complete with thorough back-testing and performance metrics. Additionally, I can set up a lightweight dashboard for live order management during market hours, ensuring all safety checks are in place. Alerts via Slack or Telegram for significant events will keep you updated and informed. Given your focus on a production-ready solution, I will prioritize clarity and stability throughout the development process. You can view my portfolio here: https://www.freelancer.in/u/ixorawebmob. I’m very interested in your project and would love to understand more details to ensure the best approach. Could you clarify: 1. Do you have specific strategies in mind or examples that you're aiming to implement? Let’s discuss over chat!Do you have specific strategies in mind or examples that you're aiming to implement? Regards, Arpit Jaiswal

@lokdeshwark

As an experienced full-stack developer with a strong background in API integration, Java, Node.js, and Python, there couldn't be a better fit for your Zerodha F&O Algo Implementation project. Not only do I have a solid command over Zerodha's Kite API, but I also fully understand the complexities of non-directional strategies in Indian futures and options trading - like iron condors, short straddles/strangles, calendar spreads which are at the core of your requirement. During my work as a developer, I have always ensured clean and well-commented code that comes with sufficient documentation - making it easy for users to navigate through the functions without getting lost or frustrated. Furthermore, my robust understanding of risk controls and deep knowledge of AWS deployment promises a this_make_architect_for. my ability to create live deployment scripts and lightweight dashboards that incorporate all the necessary safety checks like max loss, margin use, and circuit limits will lend you complete peace of mind. To support my claims with concrete examples, I have live instances and back-test reports showcasing solutions implemented specifically for the Indian stock market. These deliver not only great yield but greater stability. So together let’s build a solution that's production-ready offering clarity and optimum risk management. With me on board system errors will never slip past your attention via my real-time alert system using platforms like Slack/Telegram/email.

@AtharvaITS01

Hi, I can help you build a robust automation framework for non-directional F&O strategies using Zerodha Kite API, with strong focus on clean strategy logic, accurate backtesting, and safe live execution. I recommend a Python-based architecture so strategy research, backtesting, and live trading stay in one ecosystem. I’ll implement modular strategy components supporting iron condors, straddles/strangles, calendars, and adjustments, along with backtests that produce P&L curves, drawdowns, Sharpe, and leg-level exposure with slippage modelling. For live trading, I’ll develop a multi-leg order management layer with safety controls (max loss, MTM thresholds, margin checks), time-based entry/exit, and event-driven adjustments. Alerts (Slack/Telegram/email), AWS deployment scripts, and a lightweight dashboard or CLI control panel will be included for monitoring and operations. You’ll receive a maintainable, config-driven system plus documentation so you can tune parameters without deep code changes. Happy to discuss strategies and next steps. Best regards, Anand Shah

@ziedb4

Hello, I have solid experience building production-ready Python trading systems with clean architecture and risk-controlled execution. For your Zerodha F&O automation, I can deliver: • Clean, modular strategy engine (iron condors, straddles/strangles, spreads) • Historical backtesting with full metrics (PnL curves, drawdowns, Sharpe, exposure, slippage modelling) • Zerodha Kite API integration for live order routing • Risk layer (max loss, margin checks, circuit breakers, IV filters) • AWS deployment with logging and monitoring • Telegram/Slack alerts for fills, MTM, and system errors • Clear documentation for parameter tuning My focus is not just coding the strategy, but building a stable, production-grade system with proper safeguards and observability. I’m ready to discuss your exact entry/exit logic and risk model. Best regards, Zied

@khrystynad4

Hi, This requires more than simple API automation — multi-leg non-directional strategies need precise execution control, margin awareness, and robust risk safeguards. I can help you build a production-grade F&O engine with: - Clean Python architecture (strategy layer + execution engine + risk manager) - Full Zerodha Kite Connect integration (order placement, modification, basket handling) - Backtesting framework with realistic slippage, brokerage, margin impact - Performance reporting (P&L curves, drawdown, Sharpe, per-leg exposure analysis) - Live deployment on AWS with scheduler + auto square-off logic - Risk controls: max loss per strategy/day, MTM kill-switch, margin utilization cap - Slack/Telegram alerts for fills, adjustments, and system errors For multi-leg strategies (iron condor, straddle, calendars), I’ll implement atomic order logic and position reconciliation to prevent leg mismatch. Deliverables: - Modular, well-documented source code - Backtest reports (equity curve + metrics) - Deployment guide - Config-based parameter tuning (no deep code edits required) Estimated timeline: 3–5 weeks Budget: (Position realistically — serious builds are not cheap) Before starting, I’d clarify: • Intraday vs positional carry? • Hedged margin (SPAN benefit) required? • Adjustment rules discretionary or rule-based? If you’re aiming for stability over shortcuts, I’d be glad to discuss architecture first. Best regards, Khrystyna

@ebubekirc

Sommelier. Hi! I am a Python developer specializing in financial automation and robust backend systems. I have carefully reviewed your requirement for automating option strategies like Iron Condors and Straddles using the Zerodha Kite API. My execution plan for your project: Clean & Modular Code: I will provide a well-structured Python codebase with extensive comments, making it easy for you to understand the logic and modify parameters in the future. Strategy Implementation: I will precisely codify your entry, exit, and adjustment rules for Iron Condors and other non-directional strategies. Back-testing Framework: I will build a dedicated module to test these strategies against historical data, providing you with detailed P&L curves and risk metrics. Robust Error Handling: I will implement advanced error management to handle API timeouts, margin issues, or connectivity drops, ensuring your capital is managed safely. Technical Stack: Python, Pandas (for data analysis), and Zerodha Kite Connect API. I am ready to help you transition from manual trading to a production-ready automated system. Let's discuss your specific strategy details and get started!