Intraday Zerodha Kite Bot Deployment

@mayankinnovative

Hi, As per my understanding: You already have a backtested Python strategy and need a production-grade execution engine using Zerodha Kite Connect for fully automated intraday trading. It must handle zero-touch login (TOTP), real-time execution via WebSockets, strict rate limits, fail-safes (kill switch, auto square-off), and reliable cloud deployment. Implementation approach: I will convert your backtest into a modular live engine using Kite Connect with WebSocket streaming for low-latency execution. I’ll implement automated TOTP login (pyotp), robust order management (including partial fills), and strict rate-limit handling. Failsafes will include auto-reconnect, session validation, emergency kill switch, and forced square-off at 3:15 PM. I’ll deploy on AWS Mumbai with Docker/PM2 for uptime, plus logging and Telegram alerts (heartbeat + trades). Config will be externalized (.json/.yaml), and I’ll validate via paper trading before live rollout. A few quick questions: Does your strategy require multi-symbol or single-symbol execution? Any preferred alert system (Telegram/WhatsApp)? Do you already have AWS setup or need full deployment support?

@prashanpatel557

Hello, I can build your industrial-grade Zerodha Kite execution engine with full automation, reliability, and cloud deployment. Approach: 1. Zero-Touch Authentication Implement secure login using TOTP with auto session generation before market open. 2. Live Execution Engine • WebSocket-based real-time data handling • Translate your backtest logic into production-ready execution • Fast MIS order placement, modification, and exit handling 3. Rate-Limit & Stability • Built-in throttling (3 orders/sec safe guard) • Efficient instrument subscription management • Retry + fallback mechanisms 4. Risk & Failsafes • Auto square-off at 3:15 PM • Emergency kill switch • Partial fill handling + reconciliation logic • Slippage-aware execution 5. Monitoring & Alerts • Telegram/WhatsApp alerts (login, active, trade events) • Structured logging for full audit 6. Cloud Deployment • AWS/GCP setup • Docker/PM2 for 24×7 reliability • Auto-restart + health checks Deliverables: 1. Modular Python code (production-ready) 2. Config file (.json/.yaml) for all parameters 3. Deployment + setup guide 4. Paper trading validation support I have experience with Kite API, intraday systems, and handling real-world issues. One question: Will your strategy generate signals via REST/CSV, or should I directly integrate your existing Python logic into the execution engine?

@Shrutibimpl

Hello, I will develop a production ready execution engine in Python to run your intraday strategy on the Kite Connect platform. I will use the pyotp library to handle automated TOTP login every morning before the market opens. The engine will process live WebSocket data to place and manage your MIS orders while strictly respecting API rate limits to keep your account safe. I will implement a robust error handling layer with a dedicated kill switch and a mandatory square off timer at 3:15 PM. For deployment, I will set up the bot on an AWS Mumbai or Google Cloud India instance using PM2 or Docker to ensure constant uptime and reliability. 1) Is your backtested strategy logic currently contained in a single Python file or a modular project? 2) Do you have the specific cloud credentials for AWS Mumbai or Google Cloud India ready? 3) Are there any additional risk management rules beyond the kill switch and auto square off? I have successfully delivered couple of projects like this. Please check my portfolio here https://www.freelancer.com/u/Shrutibimpl Thanks, Bharat

@Algokage

Hello, I can deliver an industrial-grade execution engine for your intraday equity trading strategy using Zerodha Kite Connect API. I'll implement automated authentication with pyotp, a robust live execution engine, rate-limit management, error handling, and failsafes including a kill switch and auto-square off. I'll deploy the bot on a low-latency cloud instance with a process manager for reliability. My approach includes modular, clean, and well-documented Python code, a simple configuration layer, and a clear deployment guide. With 5+ years of experience in Python development, financial markets, and KiteConnect, I ensure a seamless transition from backtest to live trading. Send a message to discuss further or see samples of similar projects. Thanks, Adegoke. M

@HarjitHundal91

Work can be done Anything in the ***PineScript*** or ***Python*** can be coded just need a good description of the concept Bid Price and Duration to Complete the Project Will be Revised after getting Full Description of the Project Rest we can discuss in chat

@Hemantt841

Hello, I see you need an industrial-grade intraday Zerodha Kite bot that runs your backtested Python strategy live with full automation. You want a zero-touch login, live WebSocket execution, strict rate-limit adherence, and cloud deployment with robust error handling. Your project requires automated TOTP login before 9:15 AM IST, live MIS order management based on your strategy, and a kill switch with auto square-off by 3:15 PM IST. You also want modular, well-documented code with a simple config file, plus a Telegram ping system for status updates and a two-day paper trading validation phase. I built a similar Zerodha Kite Connect bot that handled live WebSocket data with real-time order placement, implemented robust reconnection logic, and managed API rate limits. I deployed it on AWS Mumbai using Docker with PM2 for reliability. I also integrated Telegram notifications for login and trade alerts, ensuring smooth zero-touch operation and emergency handling. I can deliver a production-ready bot with your required features and documentation within 10 days. Let’s discuss how to tailor this solution precisely to your strategy and testing needs.

@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

@kanwaljeetk56

Hi, I already have ready made solution for auto login, Algo order placement. Let me know to discuss further in details about your strategy to backtest and to make it fully automated algo trading.

@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.

@bhartimalu

Hello, I am excited to assist you with the Intraday Zerodha Kite Bot Deployment. - I have extensive experience in developing trading bots using Python and have successfully completed similar projects. - My plan includes: 1. Requirement analysis 2. Bot development 3. Testing and optimization 4. Deployment and monitoring. - I will utilize Python, Zerodha API, and relevant libraries. - The project can be completed within 2-3 weeks, with regular updates via your preferred communication channel. Choose me for my expertise and commitment to delivering a robust solution. What specific features do you want in the bot? Do you have a preferred timeline for deployment? Regards, Bharti M.

@samyak8840

Hi, I am Samyak. I will deliver the product within 2 days. I have 7+ years of trading experience and Python backend development experience. Recently, I delivered 2 trading algo systems, worked with multiple clients and got satisfied feedback from the client. We can connect on chabox. Thanks

@indreshpnk

Hello, I understand you need an industrial-grade Zerodha Kite bot for fully autonomous intraday trading. The goal is to deliver a robust, low-latency, production-ready Python solution that handles pre-market login, live execution, rate-limit management, error handling, and auto square-off without manual intervention. Here’s what I can provide: Automated Live Execution Engine: Converts your backtested strategy to production code with real-time WebSocket integration for MIS orders. Zero-Touch Login & Cloud Deployment: Automated pyotp-based login, deployed on AWS/Google Cloud with PM2/Docker for 24x7 reliability. Failsafes & Monitoring: Auto reconnection, kill switch, and optional Telegram/WhatsApp alerts for trades and bot status. I bring over 4+ years of experience in Python, Pandas, KiteConnect API, and cloud deployments, focusing on financial market automation, latency optimization, and error-resilient trading systems. Just to clarify a few things: Do you prefer live execution first or 2-day paper trading validation before full deployment? Any specific cloud instance or latency target you’d like me to adhere to? Please come to the chat box to discuss more about your project. Best regards, Indresh Kushwaha

@vishala81

Hi, I have built and deployed live Zerodha Kite Connect trading bots before, including fully automated intraday systems. I can convert your backtested strategy into a robust “industrial-grade” execution engine that runs autonomously from pre-market login to post-market shutdown. Key capabilities I will deliver: • Zero-touch login using pyotp (TOTP/2FA) before 9:15 AM • Live execution via WebSocket with reliable MIS order handling • Strict API rate-limit compliance to avoid account issues • Strong error handling: auto-reconnect, session recovery, partial-fill management • Emergency kill switch + mandatory auto square-off by 3:15 PM IST • Telegram/WhatsApp heartbeat alerts (login, active status, trades) • Cloud deployment on AWS Mumbai / GCP India using Docker/PM2 I understand Indian market mechanics (MIS vs CNC, tick sizes, market hours) and real-world trading risks like slippage, latency, and rejected orders — not just backtest conditions. Deliverables: clean modular Python code, configurable parameters file, deployment guide, and successful paper-trade validation before live use. I’ve implemented similar systems that run daily without manual intervention. Happy to discuss details and demonstrate approach.

@mrkk4ever

Dear Client I saw your requirements regarding to develop a auto trading bot for stock market of India using Zerodha KITE in 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

@PyMLExpert1

With over ## years of experience as a Python Developer, I have honed my expertise in building sophisticated and secure systems - making me an ideal fit for your Intraday Zerodha Kite Bot Deployment project. Not only am I well-versed with Python but also have a strong understanding of financial markets, to successfully translate your backtested strategy into an 'Industrial Grade' execution engine. I am familiar with pyotp for TOTP/2FA implementation, the very core of "Zero-Touch" login you require, and take measures that incorporate maintainance of seamless session generation before 9:15 AM IST daily. My knowledge of the Zerodha Kite Connect API is vast, and I understand the importance of managing rates limits to avoid account suspension; a task I perform with diligence and consistency. Operating on low-latency cloud instances using PM2 or Docker is my second nature; I've skilled at handling process managers and have managed to build extremely reliable platforms. Additionally, my strategic thinking would add immense value. I ensure that the system can handle emergency situations by incorporating automatic reconnections for Websockets and API sessions alongwith a robust "Kill Switch". Let's get this bot working live.

@tede4

i have experience building production-grade trading systems in python, including real-time data pipelines, websocket handling, and automated execution with strict risk controls. i can take your backtested strategy and convert it into a fully autonomous, reliable execution engine tailored for zerodha kite connect. i will implement zero-touch authentication using pyotp, a robust live execution engine with websocket streaming, and strict rate-limit management to ensure compliance with kite api constraints. the system will include strong fail-safes such as auto-reconnect, partial-fill handling, kill switch, and mandatory square-off before market close. for deployment, i’ll set up the bot on aws mumbai or gcp with docker/pm2, ensuring high availability and low latency. i’ll also add a “heartbeat” notification system (telegram/whatsapp) for login status, bot activation, and trade alerts. the code will be modular, well-documented, and configurable via json/yaml. we’ll validate with paper trading before going live to ensure accuracy and stability. timeline: 5–7 days ready to start immediately and deliver a stable, industrial-grade trading bot

@naves123

Hello there! I have experience in creating kite api client, but using kotlin. I also have experience in python, django and pandas. I can help you with the project

@Mabena1

Dear Client, I am confident in delivering a robust, fully autonomous Python execution engine for your zero-touch intraday equity trading strategy. My skill set positions me well to execute this successfully. I understand your need for a clean, scalable system with automated authentication, live WebSocket data processing, and strict rate-limit management to maintain seamless, error-free operation throughout market hours. With expertise in AI automation, web/app development, and digital solutions, I can build a production-ready, modular, and well-documented bot configured via YAML/JSON, deployed on AWS Mumbai or Google Cloud with PM2/Docker. While I am new to Freelancer, I have strong real-world experience and have completed multiple successful projects off the platform. Could you share your timeline and priorities for the paper trading phase? Best regards, Mpumelelo Mabena

@tradeamplify1

Hi, This is exactly the kind of system I specialize in—taking a backtested strategy and turning it into a reliable, production-grade execution engine on Kite. I understand the key challenge here is not strategy logic, but building a fault-tolerant system that can handle real market conditions—latency, partial fills, rate limits, and session reliability—without manual intervention. My approach: • Zero-touch authentication using pyotp with scheduled session generation before market open • Real-time execution engine using Kite WebSocket for tick data and event-driven order handling • Robust order management handling partial fills, retries, and state reconciliation • Strict rate-limit control (queue-based execution to stay within Kite limits) • Built-in risk layer: kill switch, auto square-off at 3:15 PM, and fail-safe recovery • Telegram alerts for login, bot status, and trade activity (heartbeat included) • Clean modular code with config-driven setup (YAML/JSON) and no code edits required • Deployment on AWS/GCP with Docker or process manager for always-on reliability I’ve worked on trading automation systems and understand the gap between backtest and live execution. I’ll ensure proper handling of slippage, order states, and real-time edge cases. Quick question: does your current backtest logic already account for partial fills and slippage assumptions? Happy to review your strategy and propose an exact execution plan. Best regards, Durgesh