Automated Zerodha Options Trading Bot

@tinuvj

Hi, I have 15+ years of experience in the software development. You can see my recent ALGO projects, reviews & demos here: ► https://www.freelancer.in/u/tinuvj ✅ TRADING SOFTWARE EXPERIENCE - Experience in Zerodha, Fyers, Angel One, Kotak, Flat Trade, IIFL, Alice Blue, ICICI Direct, Upstox, Motilal, Finvasia Shoonya APIs - Trading View Pine Script, Development & Back testing - Bridge Software to execute Trading View, Charink & Amibroker Signals - Copy Trader Software: Copy all Master account trades to unlimited client accounts - One-Click Quick Option Trading software with Auto SL, Target, TSL & Averaging - Software to monitor and auto-exit the position - Amibroker AFL Development and Backtesting - Algo Development in Node.js, Python & Pine Script ✅ RECENT-ALGOS - Tripple Super Trend Algo - Option Selling Strategies - Banknifty Price Action Algo - Tick Analysis - PriceAction Breakout - RSI-Based Option Selling - Pivot Reversal Algo - SMA & EMA Strategy - 9:20 AM Short Straddle - Heikin-Ashi Breakout - Multi Indicator Algos MACD, EMA, ADX, CCI , ST & RSI - Pivot Level Algo - Crude Options Some of my other projects. - Automated login to various Indian bank websites to fetch the account statement to perform some automated tasks. - Automated login and trade execution in various Indian stockbroker platforms - WhatsApp API & Chat Bot Using WhatsApp Web Automation Thanks & Regards Tinu Jose

@NEHABHAT92

My name is Neha, a seasoned developer with over 9 years of experience in web and mobile development. I have extensive experience in E-commerce and CMS-based websites design. My expertise goes beyond just website development, I am passionate about transforming ideas into reality using technology - that's why this project aligns perfectly with my skillset and passion. One of the main reasons why you should choose me for this project is my versatility with tech stack including Python, Kite Connect API, WebSocket Streaming, and knowledge of algo trading systems. Building an automated intraday options trading system using the Zerodha Kite Connect API is not only within my capabilities but also something I have prior experience with. Moreover, my commitment to agile development ensures that the product undergoes thorough testing before delivery. Rest assured that by choosing me, you're choosing to work with a skilled and reliable professional who will deliver clean, modular Python code accompanied by a comprehensive setup guide for easy deployment on a VPS.

@souvikbasu

Building reliable algo trading systems on Kite Connect requires getting the order lifecycle right — particularly around deduplication, restart handling, and trailing SL without race conditions on WebSocket feeds. These are exactly the areas where most implementations break. My approach: a Python service with clean separation between data ingestion (KiteTicker WebSocket), signal engine (breakout/momentum rule evaluation), and order manager (state machine enforcing one-trade-per-day, handling partial fills, managing trailing SL updates). Config lives in YAML so strategy parameters can be swapped without touching code. Full structured logging of signals, order events, and SL changes — easy to audit post-session. I'll deploy on Linux VPS with a systemd service that handles restarts gracefully, persisting intraday state to disk so a crash mid-session doesn't cause duplicate orders or missed exits. Paper trading verification first to confirm SL and exit logic is solid before going live. I've built Python systems with real-time data pipelines and API-driven order execution. The modular design means you can later plug in new entry conditions or instruments without rearchitecting. Ready to start immediately — can run a paper trading demo for you to verify execution behaviour before live deployment.

@nutankumarftp

Having over a decade of experience developing full-stack web and mobile applications, I am well-equipped to take on the challenge of building your automated options trading bot. My expertise lies in Python (a core requirement for the project) as well as various other languages that may come in handy during development such as Java and PHP. This wide skill set makes me adaptable and capable of solving complex problems within the project. In addition to my mastery of the technical aspects, I have substantial experience with API integrations – a crucial requirement for this task. As requested, I can set up Kite Connect API integration seamlessly to ensure your system takes full advantage of real-time market data from Nifty and Sensex. One of the key areas where I believe I stand out is my commitment to thorough testing, risk management, and state handling. Proper order execution and risk management are paramount in an automated trading system – I understand this implicitly and will make it my priority. Overall, you can expect clean and modular Python code, a comprehensive setup guide, a fully functional system delivered on time, with scalability for any potential refinements later on.

@prashanpatel557

Hello, I can build your fully automated Zerodha intraday options bot with clean execution, strict risk control, and VPS stability. Approach: • Python + Kite Connect (REST + WebSocket) • Event-driven engine: data → signal → execution → monitoring • Designed for one-trade-per-day logic with no duplicates Core Features: • Real-time market data (WebSocket) • Breakout + momentum entry engine • Market/limit order support • Single trade lock system Risk Management: • Fixed SL + dynamic trailing SL • Time-based exit (auto square-off) Execution Reliability: • Order state tracking (placed → filled → managed) • Retry + fail-safe logic • Duplicate/missed trade prevention Logging & Monitoring: • Logs: signals, orders, SL updates, outcomes • Console + file logs (structured) Config System: • JSON/YAML-based parameters (no code edits) Deployment: • VPS-ready (Linux) • Auto-reconnect + restart-safe design Deliverables: • Modular Python codebase • Setup + deployment guide • Demo (paper/live test) Timeline: 10–12 days I have experience with Zerodha API, options automation, and real-time trading systems, ensuring stable execution. Question: Will your strategy require option strike selection logic (ATM/ITM/OTM) or will you provide exact symbols?

@craigd43

With broad experience in development using Java, PHP and Python, including my adeptness with data scraping, I am an ideal fit to develop your Zerodha Options Trading Bot. In particular, my skills in extended web scraping will be valuable in fetching real-time market data using API/WebSocket. My skills in configuration management via JSON and YAML will enable systematic organization of strategy parameters for easy customization and optimization even after the initial system development. For a fully automated trading system like the one you seek, stability and reliability are paramount. Having worked extensively on deploying applications using Linux on VPS, I have developed high fault-tolerant systems that can withstand restart scenarios without any negative impact. These same robust practices will be applied in developing your bot thus ensuring its stable running throughout the trading session. Prior to deployment, rigorous testing will be carried out to achieve flawless execution. I must note that I completely understand your need to stay away from 'guaranteed profit' claims. Instead, I assure you 100% commitment to a clean modular code build, stepwise setup guide, demonstrations of the bot's functionality through both live and paper executions as well as furnishing you with detailed instruction on modifying parameters. Choose me for this project if you want effective solutions that scale seamlessly

@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

@goranm16

Hi, I can build this in Python with Kite Connect, WebSocket streaming, JSON/YAML config, clean order-state handling, and full logging for signals, entries, SL moves, exits, and restart recovery. I’ve worked on broker/API-driven trading systems where the key issue was duplicate orders after reconnects. The fix was a simple trade-state machine, idempotent order checks, and persistent session logs so the system always knew whether it was flat, entered, protected, or exiting. I’d start with the live data + paper execution loop first, then add the breakout/momentum rules, SL, trailing SL, and time exit around it. The main risk is missed or duplicated trades during WebSocket/API failures, so I’d handle reconnects, order verification, and one-trade-per-day locking carefully before live testing. Thanks!

@manoval09

Hi, You're building an intraday options trading system that needs to handle real-time market data, execute trades, and manage risk—all under volatile market conditions where milliseconds matter. That's complex, and the Zerodha API integration alone requires understanding their Connect protocol, order routing, and Greeks calculations for options. I've built real-time trading systems using Python + asyncio, integrated Zerodha's tick-by-tick data via WebSocket, and implemented stop-loss + position-sizing logic to prevent catastrophic loss. For this build, I'd structure it in three layers: data ingestion (Zerodha market feed), strategy engine (your rules + Greeks), and execution (rate-limited order placement). I'd use asyncio for concurrent operations rather than threading—cleaner for I/O-heavy trading code. Here's what matters: fully automated options trading is high-risk. Before we lock in a scope, I need clarity on one thing—what's your risk per trade (max loss per position), and are you wanting to paper-trade first or live-trade immediately? That changes architecture and timeline significantly. A sound system should include backtesting, position tracking, and logging for every decision the bot makes. Best regards, Val

@mrkk4ever

Dear Client I saw your requirements regarding to develop an auto trading bot development using Zerodha KITE API v3 in python. I can develop this bot based on your requirements ASAP. I developed many application is similar to your requirements. Such as an indicators, charts, analysis applications and auto trading bot for various exchanges including Zerodha KITE API. Let share further details. Thanks and Regards Kannadasan K

@rahulb617

hi, i have done all my projects on algo tradings only in apps like shoonya,dhan,fyers,zerodha and binance recently i have made bot in zerodha(top 20 losers/winners) with , paper mode and auto execution of buy/sell when it meets the criteria i can fulfill all your requirements lets get in touch

@ttobio69

Hi there, I read your requirements carefully, and I can build a clean, modular Python-based Zerodha options trading bot using Kite Connect API with real-time WebSocket data, automated trade execution, stop-loss, trailing SL, time-based exit, and proper logging. I will structure the system with configurable JSON/YAML strategy parameters, safe order/state management to avoid duplicate trades, one-trade-per-day logic, signal/order/SL logs, and restart handling for VPS deployment. I can also run paper trading tests for several hours to confirm stability before live execution. I understand this is a risk-managed automation system, not a guaranteed-profit tool, and I’ll focus on reliable execution, clean code, and clear documentation. Cost: ₹10,000 || Timeline: 1 days Best regards,

@Sadiyasyeda24

Hello, I understand the task and will ensure your expectations are me. I am an experienced freelancer with 4 years of experience in PHP, Java, Python, Software Architecture. Visit my profile to view latest projects. Please connect in chat so we can discuss. Warm regards, Syeda Tahreem

@mihajlodjokic

Let me get it done, I'll build a robust, modular Python-based trading engine that interfaces with the Zerodha Kite Connect API to automate your breakout and momentum strategy, ensuring precise order execution, strict risk management, and reliable performance on a Linux VPS. Your project will be finished in 2 weeks, I have done similar stuff before. Here is how I would approach it: 1. I can do a free demo if needed. We will plan everything out together, go through all the requirements, and then start. 2. Develop the WebSocket client for real-time market data streaming and logic for signal detection based on your breakout parameters. 3. Implement order management logic, ensuring state preservation and preventing duplicate trades using local logging or a lightweight database. 4. Integrate dynamic stop-loss, trailing logic, and time-based exit mechanisms into the core engine. 5. Deploy to a Linux VPS with automated restart capabilities and provide comprehensive documentation for parameter configuration via YAML files. Let's talk as soon as possible and get it done. Best Regards, Mihajlo

@pramodayar

With broad experience in development using Java, PHP and Python, including my adeptness with data scraping, I am an ideal fit to develop your Zerodha Options Trading Bot. In particular, my skills in extended web scraping will be valuable in fetching real-time market data using API/WebSocket. My skills in configuration management via JSON and YAML will enable systematic organization of strategy parameters for easy customization and optimization even after the initial system development. For a fully automated trading system like the one you seek, stability and reliability are paramount. Having worked extensively on deploying applications using Linux on VPS, I have developed high fault-tolerant systems that can withstand restart scenarios without any negative impact. These same robust practices will be applied in developing your bot thus ensuring its stable running throughout the trading session. Prior to deployment, rigorous testing will be carried out to achieve flawless execution. I must note that I completely understand your need to stay away from 'guaranteed profit' claims. Instead, I assure you 100% commitment to a clean modular code build, stepwise setup guide, demonstrations of the bot's functionality through both live and paper executions as well as furnishing you with detailed instruction on modifying parameters. Choose me for this project if you want effective solutions that scale seamlessly

@nshidbaby

Hi, I can build your fully automated Zerodha options trading bot in Python. **Features:** * Real-time data via Kite Connect WebSocket * Rule-based entry/exit (breakout + momentum) * Risk management (SL, trailing SL, time exit) * One trade/day with proper state handling * Logging (signals, orders, outcomes) * Configurable via JSON/YAML **System:** Modular, VPS-ready, crash-safe with restart recovery. I can include paper trading for testing before live deployment. Happy to review your strategy rules and get started. Best, Nashid Shabazz

@kishank499

You’re building a fully automated intraday trading system, and the real challenge here is not just strategy logic, but making sure execution is reliable (no missed/duplicate trades) and risk handling works perfectly in live conditions. I’d approach it like this: → Python service using Kite Connect (REST + WebSocket for real-time data) → Strategy engine (breakout/momentum rules, easily configurable via JSON) → Execution layer with strict state management (1 trade/day, no duplicates) → Risk module (fixed SL, trailing SL, time-based exit) → Logging (signals, orders, SL updates, P&L) → Restart-safe design (persist state so bot resumes correctly) Focus will be on stability during full market hours, not just “it works once”. I’ve worked on API automation systems and real-time workflows, so handling things like WebSocket streams, order execution, and edge cases is something I’m comfortable with. Also, I’m currently building my profile here, so I’ll make sure this is delivered with proper attention and clean, maintainable code. Quick question: how do you want to run signals fully inside this system or from an external module? Happy to discuss flow before starting. Best, Kishan

@NithinVarma3

Hello, I’ve carefully reviewed your requirements and understand that this project requires a stable, fully automated trading system with accurate execution and strong risk management. My approach would be structured and reliability-focused: • Develop a modular Python-based system for signal generation, execution, and monitoring • Integrate Zerodha Kite Connect API for real-time data and order execution • Use WebSocket streaming for low-latency market data handling • Implement strict risk management (fixed SL, trailing SL, and time-based exits) • Ensure only one trade per day with proper state tracking • Add detailed logging for signals, trades, and system activity I will design the system to be: * Stable for full trading sessions * Restart-safe with proper state recovery * Configurable using JSON for easy parameter updates I understand the importance of reliability in trading systems and will focus on clean, maintainable code with proper testing (paper trading before live execution). I’m ready to start with a basic version and refine the strategy as needed. Looking forward to working with you. Best regards, Nithin

@CauaAlves

Dear Client, I have carefully reviewed your requirements for the fully automated intraday options trading bot using Zerodha Kite Connect API. I will develop a clean, reliable Python solution featuring: Real-time market data via official Kite WebSocket for Nifty/Sensex index options Rule-based breakout + momentum entry logic (exact conditions will be implemented precisely as you provide) Automatic order execution (market/limit orders) with strict one-trade-per-day rule Full risk management: fixed stop-loss, dynamic trailing stop-loss, and time-based exit before market close Robust state management, error handling, and duplicate-trade prevention Complete logging of signals, orders, SL updates, and trade outcomes Configurable parameters via JSON/YAML Production-ready deployment on Linux VPS with restart resilience Deliverables: modular and well-commented Python code, detailed setup guide (API keys + VPS), and full paper-trading demo. I specialize in Zerodha Kite algo-trading bots and can start immediately upon award. Looking forward to delivering this for you.