Zerodha Auto Trade Monitor & Exit

@vishal1145

Your exit monitoring system will fail if it relies on polling Zerodha's API every few seconds — you'll hit rate limits and miss critical price movements during high volatility. The solution requires WebSocket streams for real-time position updates, not REST API loops. Quick questions - are you using Kite Connect API with active subscriptions for live market data? And do your Firefox containers share session tokens, or does each account maintain isolated authentication? Here is the architectural approach: - PYTHON + WEBSOCKET: Build a backend service using KiteConnect's WebSocket ticker to stream live LTP updates without hitting rate limits, then calculate MTM in real-time across all positions. - REACT.JS + FIREFOX CONTAINERS: Deploy a local web app on localhost that uses Firefox's contextual identity API to isolate sessions per trading account, ensuring no cookie conflicts between containers. - AUTOMATION + EXIT LOGIC: Implement event-driven triggers for SL/target/MTM thresholds using conditional order placement via Kite's order API, with manual override controls for partial exits when you adjust legs mid-trade. I've built similar multi-account trading dashboards for 2 prop trading firms that required sub-second execution monitoring. Let's schedule a quick call to confirm your Kite API tier and container isolation requirements before implementation.

@Zaiyan

I can build a web-based app that operates in Firefox containers for monitoring and executing trades. The first step will be to set up the framework that allows for trade execution and monitoring based on your specified conditions. Based in Toronto, Canada, I work efficiently and ensure I'm always available for any questions or updates.

@mahads31

With over [X] years of experience as a skilled developer, I have honed my expertise in API, Automation, Node.js, Python, and Web Development, aligning perfectly with the requirements of your Zerodha Auto Trade Monitor & Exit project. My inclination towards building tailor-made, scalable solutions that optimize processes and improve efficiency led me to acquire an in-depth knowledge of diverse technologies including PHP / Laravel, JavaScript (React.js and Node.js), Python and more. My undying zeal to provide results-focused digital solutions has made me well-versed in devising systems like yours which require an eagle-eye to monitor trades in real-time, set stop loss and MTM limits for profit or loss. I've also worked on creating UI/UX-focused apps that offers user-named monitoring features like displaying original buy/sale prices, current prices, MTM gain or loss - similar to your project's vision. Moreover, my past forays into building automation systems proves my capability to ensure proper systems working under varying scenarios ensuring you get the best solution for your overnight and intra-day trades. Equipped with this seamless blend of technical skillsustainable businesses relationships empowersöße usto be the ideal technology partner for your evolving enterprise. Let's chat soon!

@iimtpradeepdash

I don’t do cloud or SaaS—this will be a local-only web app running on your PC, designed to operate inside multiple Firefox containers, one per Zerodha account. Core is local trade monitoring with real-time MTM, modifiable stop loss/MTM settings, fast scan for new trades (even if placed outside the app), and manual assignment of legs to named monitors. Built similar setups for live trading desks (options/MTM controls) as Node.js web apps you run locally. UI would be minimal, using React.js, Node.js backend, storing state in a local file or SQLite. Color-coded monitors, live updates, and persistent configs. What format will you provide Zerodha session/auth—API keys, or do you want browser automation/scraping? That shapes how I hook into the accounts. Can start this week once you clarify session handling. Pradeep

@nemanjam61

Hello, I’ll build a lightweight Node.js service that runs in a Firefox container per account, using Selenium‑WebDriver to hook into the Zerodha web UI and poll the trade table every few seconds. The front‑end will be a React dashboard (styled with CSS) showing live price, MTM, stop‑loss and profit targets, colour‑coded per monitor, and will let you edit percentages or manually close legs on the fly. I’ll also add a watcher that scans the Sensibull page for new positions, auto‑creates a named monitor and syncs any manual leg changes back to the dashboard. One edge case: when a trade leg is partially closed outside the app, the monitor will detect the delta and automatically adjust the remaining stop‑loss/profit thresholds to avoid stale limits. Do you prefer the React UI to be a single‑page app or split into separate tabs for overnight vs intraday monitoring?

@Algokage

Hello, I hope you're doing well. With over five years of experience in developing trading automation tools, I've worked on similar projects that required precise monitoring and execution of trades, including setting stop losses, MTM limits, and crash protection. This project aligns well with my expertise, particularly in creating web-based applications that operate within specific browser environments like Firefox containers. The approach would involve building a lightweight, web-based application that runs locally on your PC, ensuring no reliance on SaaS or cloud solutions. It will monitor executed trades, allow manual adjustments for exit strategies, and display real-time data such as original prices, current values, and MTM gains or losses. The app will also scan and integrate new trades from platforms like Sensibull, enabling you to create and manage monitors with user-defined names. Color-coded buttons will differentiate active monitors for clarity. Clean, well-documented code will ensure the application is maintainable and scalable. If you’d like to discuss this further or see examples of similar work, feel free to send a message. Thanks, Adegoke M.

@longngoc2307

Hello, I've built automation systems before that monitor live data and trigger conditional actions without manual intervention, and I'm comfortable working with broker APIs for real-time position tracking. I understand the core requirement here isn't just monitoring, it's a local, non-cloud system that watches multiple accounts independently through separate Firefox containers, tracks MTM in real time, and executes exits the moment your stop-loss, profit, or crash-protection thresholds hit. I'll build this using Zerodha's Kite Connect API to pull live trade and price data, with a local web app running entirely on your PC, no cloud dependency, structured so each Firefox container maps to its own account session. Each trade set gets a named, user-created monitor showing original price, current price, and live MTM gain or loss, with color-coded status buttons, and monitors stay editable if you manually adjust legs mid-trade. New trades placed externally through Sensibull will be scanned and surfaced for you to select into a monitor, and the system will handle both intraday and overnight positions with crash-protection logic watching the underlying continuously. I can start as soon as I have your Kite Connect API access details and a sample of how Sensibull trades appear in your account activity. Thanks for considering my proposal.

@rajeshrolen

Hello, Are you tired of manually monitoring and executing trades on Zerodha? I understand the pain point of monitoring executed trades and setting stop loss, profit limits, and crash protection manually. I propose a web-based solution that operates in individual Firefox containers for different accounts from the same PC. This solution will monitor executed trades, set stop loss, MTM limits for profit and loss, and provide crash protection for the underlying asset. You will have the flexibility to modify trade settings manually if needed. My unique selling points include technical skills in developing custom monitoring and exit systems, clear and responsive communication, a commitment to quality, and reliable post-launch support. You can view examples of my work in my portfolio: https://www.freelancer.com/u/rajeshrolen I would love to discuss your project requirements further. Please open a chat with me to explore how we can create a tailored solution to meet your needs. Sincerely, Rajesh Rolen

@Abror86

Hi — Abror-Yakubov here from Uzbekistan, "ZERODHA TRADE MONITOR SYSTEM" — you need local automation to track positions and control exits safely. I would build a PC-based web app with account-wise monitoring, live trade status, MTM tracking, and configurable exit rules. The key part is handling manual leg changes and new trades so monitors stay accurate instead of acting on outdated positions. Which Zerodha access method should be used for live data and order execution: Kite API, browser automation, or an existing integration? Looking forward to working with you.

@irfanui

Hi, I reviewed your project: Zerodha Auto Trade Monitor & Exit. I can build a scalable SaaS or business application with user roles, admin dashboard, subscriptions/billing, secure APIs, database structure, reporting, and cloud deployment. I focus on clean architecture, maintainable code, clear milestones, and long-term support. Please message me so I can understand your required modules, user flow, timeline, and preferred technology stack. Portfolio: https://www.freelancer.com/u/irfanui Regards, Mohammad 4th Dimension Partners

@jagratip3

Hello, I can develop a desktop-based trade monitoring and automated exit system for Zerodha, designed to run locally on your PC with no SaaS or cloud dependency. The application will support multiple Firefox Containers for different accounts, continuously monitor executed trades (including those placed via Sensibull), and provide configurable stop-loss, MTM profit/loss limits, crash protection, and real-time position monitoring. It will also allow user-defined trade groups, manual leg adjustments, color-coded monitoring status, and support both intraday and overnight strategies. The solution will be secure, fast, and fully documented with long-term support. I'm available to start immediately and would be happy to discuss the architecture and implementation details. Thank you.

@pallavbansal2

Hello, you're essentially asking for a local, web based trading monitor that must run inside separate Firefox Containers per account on the same PC, then auto-detect new trades even when they arrive via Sensibull or other flows. The biggest complexity here is reliably syncing Zerodha execution data into your trade sets and then running exit logic with real-time MTM and crash protection without cloud or SaaS. I'd start by mapping your data flow end to end: how the app will read executed trades, how it will identify new legs, and how we'll persist monitor rules per user and per container. Then I'll implement the core trade set engine first, including manual editable legs, stop loss, MTM profit, MTM loss, and crash protection, plus the live MTM display (original buy/sell, current price, gain/loss) with color-coded buttons so your active monitors are visually obvious during busy sessions. I can build and deploy this fully on your PC, you access it on WiFi. Are you looking to use an existing lightweight local stack (like PHP/Node with a local DB) and a Firefox automation approach, or should we build directly around Zerodha page scraping versus an API-based integration?

@MKCHAND

Hi, first of all see my work, then provide your valuable project to me. I am the master of trading bots automation. You can see my work demo also. I have already created more than 75 trading bots automation with all brokers like Zerodha, Fyers, Dhan, XTS API, UPSTOX etc. Let’s discuss further details on chat.

@UmairBuildsAI

Hey, I can help build a local web-based trade monitoring and automation system for Zerodha accounts with real-time tracking, configurable exit rules, and a clean dashboard interface. You can review my work here: https://www.freelancer.pk/u/UmairBuildsAI I have experience building automation systems, API integrations, dashboards, and backend workflows using Python, Node.js, React, and REST APIs. For your requirement, I can help develop a PC-hosted application that connects with Zerodha APIs, monitors executed trades, displays live P&L/MTM data, and applies configurable rules for stop loss, profit targets, loss limits, and crash protection. My approach would be to first understand the Zerodha API flow and your multi-account Firefox container setup, then design a reliable local architecture with a monitoring engine, database storage, and responsive dashboard. The system can support multiple trade sets, manual adjustments, user-defined monitors, and real-time status updates while keeping the solution locally hosted instead of cloud-based. Could you please confirm whether you already have Zerodha Kite API access for each account and how many accounts need to be monitored simultaneously? Happy to jump on a quick call to review the project flow and get your project live smoothly. Best Regards, Umair

@rakhshanz3

As an experienced CTO and AI specialist, I have the skills to create a bespoke solution for your Zerodha trade monitoring and exit system, all while keeping in mind your unique requirements. Not only do I have extensive knowledge in web-based applications and API integrations – perfect for creating a Firefox-based system on your PC – but my solid proficiency in Node.js and React.js ensures a scalable and secure frontend/backend architecture. Furthermore, my deep expertise in AI and machine learning enables me to build a system that can seamlessly monitor executed trades, set stop loss and MTM limits for profit and loss as per your specifications. I understand the necessity of adapting a system that will allow you to modify these monitors if certain legs are manually modified or need adjusting to limit losses or gain profits. With nearly two decades of experience under my belt, encompassing both academia and software engineering, I offer not just technical know-how, but a sharp problem-solving mindset. I recognize the significance of crash protection ATO in underlying trades and the crucial value of displaying original buy/sale price, current price, MTM gain or loss, all color-coded for easy identification - which is exactly what I plan to deliver. Opting for my services would mean choosing an expert who not only meets needs but exceeds expectations in delivering personalized software solutions.

@shigurer

I have experience building local trading automation tools, broker API integrations, and real-time monitoring dashboards. Based on your requirements, I would develop a PC-based Zerodha trade monitoring system with Firefox container support, live trade tracking, customizable risk monitors, MTM calculations, and automated exit execution. My approach is to build a lightweight local application that connects securely with Zerodha, detects new trades, allows custom monitor creation, and provides clear visual controls for stop loss, profit targets, loss limits, and crash protection without relying on cloud infrastructure. I have worked with Python, APIs, automation systems, trading workflows, and real-time dashboards, and I'm confident I can deliver a reliable solution. I'd be happy to discuss your trading flow and outline the implementation roadmap.

@heenafullstacken

A successful SaaS needs more than features—it needs a structure that can grow. For Zerodha Auto Trade Monitor & Exit, I can build user roles, admin controls, subscriptions, billing, reports, secure APIs, and a scalable database. I work with clear milestones and maintainable code so future upgrades remain simple. Send me the required modules, user flow, and preferred launch timeline, and I will outline the best technical approach. Portfolio: https://www.freelancer.in/u/heenafullstacken Best regards, Heena A Plus IT House

@kishank499

For your Zerodha Auto Trade Monitor & Exit system, operating in separate Firefox containers for different accounts, I will build a reliable local application. You need to monitor executed trades and automatically manage exits based on custom stop loss and MTM limits, even when trades originate from other sources like Sensibull. I will build a web-based app that runs on your PC within individual Firefox containers. It will monitor active trades, display real-time original/current prices and MTM gain/loss, and allow you to manually set and modify stop loss, MTM profit, MTM loss, and crash protection for each trade set. The system will also scan for new trades executed via other means, letting you select legs and create user-named monitors. I’ve previously built automation agents using Node.js and Playwright to scan multiple external sources and process information, which is directly relevant to scanning trades from Sensibull. How critical is it for the system to instantly react to sudden internet disconnections or Zerodha API rate limits? Let's discuss further.

@ankits0192

Hi, I am Ankit. I’d first confirm whether your Mumbai setup already uses Zerodha’s Kite APIs in those Firefox containers, or if you expect the app to read positions purely via browser automation inside each container profile. A focused local monitor helps Indian traders manage multi‑account MTM, SL, profit caps and crash protection without any cloud dependency, running entirely on your PC over Wi‑Fi. I’d build a React/Node or Python‑web UI that tracks legs, shows entry/current/MTM, colour‑codes active monitors, and lets you rename and modify trade sets as Sensibull or other flows add new positions. A common risk is automation breaking when Zerodha updates UI or login flows, so I’d keep the design modular and favour official APIs wherever possible. Let's discuss in more detail now. Do you prefer a pure browser‑automation approach tied to Firefox containers, or are you open to a small local backend that talks to Zerodha APIs and only uses the browser for display and manual overrides.