Zerodha API Algo Trading Automation

@durgesh8527

With more than a decade under my belt in web and mobile development, I am well-equipped to handle the complex tasks you require for your Zerodha API Algo Trading Automation. My skill set includes solid experience in both web and mobile applications, comprehensive knowledge of using REST and GraphQL APIs, and a proficient use of Node.js, React, Python and JavaScript – all these make me a perfect fit for you. Additionally, my successful creation of previous live bots for Kite Connect displays my competency in realizing your trading strategy to its fullest potential. Timely order executions are vital in trading scenarios leading me to skillfully address order rejections, partial fills and API timeouts. Moreover, my multi-faceted experience includes handling basket (hedge) orders proficiently which aligns perfectly with your requirements. I also want to clarify that I am India-based and offer you easy coordination through the right timezone together with direct API access.

@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

@Jennycreation

With over 15 years of experience in software development, I am confident in my ability to handle the complex integration and deployment you require for your trading strategy. My team has built numerous live bots aligned with the Zerodha Kite Connect API, allowing for comprehensive testing of our work prior to deployment. Handling order rejections, partial fills, and API timeouts is second nature to us; we have established protocols that ensure robust order management to minimize any potential risks. One of my core competencies is designing and implementing multi-leg/basket orders in trading platforms to better manage margin requirements. To augment this, our team is adept at handling Python code, options trading algorithms, and utilizing Kite's historical data for effective backtesting. Importantly, being based in India grants me convenient access to Kite's API while aligning well with your timezone requirements. I am dedicated to delivering results and following a milestone-focused approach. As a further testament of my commitment and capabilities; I assure you; your valuable API-keys will not be demanded from you.

@Shrutibimpl

You want a secure Zerodha Kite Connect integration for your existing Python options selling strategy to handle basket order margin benefits, active strike scanning, and automated order management. This integration bridges your custom logic directly with Zerodha, letting your algorithm place buy and sell legs in the exact sequence required to secure instant margin relief. By automating execution, order tracking, and automatic end of day square offs, the system shields you from costly slip ups and execution delays. You get complete peace of mind with a paper trade mode that verifies strategy accuracy against your historical journal before risking live capital on the exchange. We will build this integration using the Kite Connect Python SDK, setting up a WebSocket connection to stream live tick data and construct five minute candles for NIFTY and SENSEX option chains. The execution service will use thread pools to handle asynchronous strike scanning, ordering the buy hedge prior to the sell leg, and implementing a database state machine in SQLite to manage partial fills and timeouts. The backtest and paper trade systems will run on local Docker instances to validate execution timing without interfering with your live environment.

@UzeeTech

With over 7 years in full-stack development, I've honed a unique skill set that situates me perfectly for your project. My expertise spans all the essential areas your project calls for; Python programming, Zerodha Kite API, options trading, multi-leg orders, and most importantly, I have already built three live Zerodha Kite Connect bots. Another vital skill you've specified is robust order management- this is an area I really shine. I know how to handle rejections, partial fills and API timeouts with efficiency and precision. My work is focused on clean, safe and well-tested deployment which aligns exactly with what you're looking for. To accelerate your decision making process around my competency level, time and cost estimation let's get transparent together! After fully reviewing the task requirements I'm confident we can achieve efficient results within 30-35 days for $2500-$3000. Additionally, given I am India-based freelancer myself we don't have timezone conflicts and enjoy full access to Zerodha Kite

@smtsbiz

Hi, Your project is a good fit for my background. While I have not yet deployed a production bot on Zerodha Kite Connect, I have extensive experience building and operating automated trading systems using Dhan and Symphony XTS APIs. I have also been actively trading Indian markets since 2007, including options strategies. **1. Kite Connect experience** No live Kite bots yet. However, I have built and maintained live trading bots covering market data, signal generation, order execution, position management, and deployment using other broker APIs. **2. Handling rejections, partial fills & timeouts** I use order-state tracking, broker-side reconciliation, retry logic, partial-fill handling, timeout recovery, position verification, and detailed audit logging to ensure reliability. **3. Multi-leg / hedge orders** Yes. I have experience implementing dependent order workflows where the hedge leg is confirmed before the primary position, with recovery logic for execution failures. **4. Time & Cost** Estimated timeline: 10–15 working days. Initial estimate: ₹37,500. After reviewing the specification and codebase, the final cost may be adjusted up or down depending on the actual integration and testing effort. Based in India (IST) and comfortable with milestone-based delivery, paper-trading validation, and live deployment support. Regards, Syam

@prashanpatel557

Hello, Your project is a great fit for my experience with Python-based algorithmic trading systems, Zerodha Kite Connect integrations, options automation, and live deployment workflows. Since the strategy logic, indicators, and core engine are already built, I can focus on code review, Kite integration, order-management robustness, backtesting validation, paper trading, and production deployment. Answers to your questions: 1. I have worked on multiple Zerodha/Kite-based automation projects including options trading, risk-management systems, TradingView webhook execution, and live monitoring dashboards. 2. Order reliability is handled through order-state tracking, retry mechanisms, timeout handling, partial-fill reconciliation, rejection logging, and broker-response validation. Every order event is logged and monitored. 3. Yes, I have experience implementing multi-leg option workflows including hedge-first execution, basket-style order sequencing, margin-aware entries, and position management. 4. Estimated Timeline: 7–14 days Estimated Cost: ₹25,000 – ₹40,000 depending on testing, validation, and deployment scope. Deliverables: • Kite Connect integration • Multi-leg hedge + sell execution flow • Multi-strike scanning engine • Complete source code and documentation Looking forward to reviewing the specification and existing codebase.

@TechWagger2026

Given my extensive experience in web and mobile app development, and a knack for building custom software solutions, I believe I am the best person to take on your Zerodha API Algo Trading Automation project. To give you an idea of my capabilities, I've deployed 3+ live Kite Connect bots in the past, a strong testament to my familiarity with the Kite Connect APIs. I'm well-versed in handling critical scenarios like order rejections, partial fills, and API timeouts. Having worked on multi-leg/basket orders before, I can deliver on your requirement for hedge orders that encompass a BUY before the SELL - ensuring your trading capital is well-managed via margin reduction. You'll appreciate my meticulous approach - offering me this job would mean you entrust me with your fully designed, tested, and validated strategy. As an Indian-based professional, our timezone synchrony and my access to the Zerodha Kite Connect API makes me a logical choice for this project. I propose milestones to track our progress and deliverables effectively. Let's connect!

@loxtic

Hi, how are you doing? I’ve worked on Python-based trading bots with Zerodha Kite Connect, including live deployments and multi-leg orders, and I’ve built robust order management around rejections, partial fills, and timeouts. I’ve deployed several Kite Connect bots (live) and can map your spec to a clean, tested integration with 5-min data, basket hedges, and end-of-day square-off. I can run DRY-RUN first, then move to live, with milestone-based progress and clear backtest validation against your journal. Let me know further if interested

@bhavanim08

Hello, Your requirement is exactly the type of project where a structured integration and deployment approach matters more than strategy design. Since the strategy logic, indicators. My background includes Python development, automation systems, API integrations, and trading-related projects. I have successfully completed stock market and trading indicator development work For your requirements, I can assist with: ✔ Python code review against strategy specifications ✔ Zerodha Kite Connect API integration ✔ Order management workflows ✔ Basket / hedge order execution logic ✔ Multi-instrument monitoring ✔ Backtesting and validation workflows ✔ Paper trading deployment ✔ Live deployment support ✔ Logging, monitoring, and error handling Regarding your questions: 1. I have worked on trading-related development and indicator systems, including stock market automation components. 2. Order failures should be handled using retry mechanisms, status tracking, timeout handling, and detailed logging to ensure system reliability. 3. I am comfortable implementing hedge and multi-step order workflows based on the provided specifications. 4. Exact timeline and cost can be finalized after reviewing the strategy documentation and current codebase. I would be happy to review the specification and deployment requirements. Best Regards, Bhavani M

@Sahyadri96

From Pune 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

@sjohn117

Hi, I’m Sean, an AI & Full-Stack Developer with over 10 years of experience, specializing in financial API integrations and algorithmic trading solutions. I understand that you need to integrate your existing trading strategy with the Zerodha Kite Connect API, focusing on deployment and testing rather than design. I've successfully worked on multiple projects involving Zerodha Kite Connect, including the deployment of similar trading bots that efficiently manage multi-leg basket orders and robust order management systems. My approach will ensure your bot seamlessly implements features like tracking fills, handling API timeouts, and conducting thorough backtesting. Given your fully designed strategy, I will prioritize clean code, rigorous testing, and comprehensive documentation to guarantee a smooth deployment. I can deliver the initial working milestone within one week, allowing us to validate the trading logic in a paper/trial run. I look forward to aligning our efforts and helping you achieve a successful deployment of your trading strategy. Can you share more about your current backtesting process and how you envision it integrating with the live trading? Thanks, Sean

@bizvivo

I have extensive experience deploying live trading bots on Zerodha Kite Connect, with 4 production-grade bots successfully running for clients. Examples include: 1) Intraday NIFTY Option Seller Bot – hedge-first basket orders, margin-efficient spreads, auto square-off. 2) BankNIFTY Straddle Manager – dynamic adjustments based on ATR/ADX, robust order tracking with partial fill handling. 3) Scalping Bot for SENSEX Options – ultra-fast execution, timeout-safe retry logic, cancel-after-3-candles rule. 4) Multi-Instrument Scanner Bot – parallel monitoring of 20+ strikes, async data fetch, rule-based entry/exit. Backtest + Journal Validator – validated trades against client’s 6-month journal, ensuring rule adherence. Order Handling: I implement resilient order management with retry queues, exponential backoff for API timeouts, and continuous polling for partial fills. Rejections trigger fallback hedges or safe exits. Multi-leg Basket Orders: Experienced in sequencing hedge BUY before SELL to optimize margin, using Zerodha’s basket APIs and custom orchestration. I can ensure your strategy is deployed cleanly, safely, and tested thoroughly in dry-run before going live.

@Visharaa2024

Hello, I am an experienced Python developer with strong expertise in algorithmic trading, Zerodha Kite Connect integration, options trading automation, and multi-leg order execution. Since your strategy logic, specifications, and core engine are already completed, I can focus on reviewing the existing codebase, integrating it with Kite Connect APIs, implementing reliable multi-leg hedge-first order execution, and building robust order management for fills, partial fills, rejections, API failures, retries, cancel-after-3-candle logic, and end-of-day square-offs. I have experience working with live trading systems, real-time market data streams, option chain scanning, and automated risk management. I can also validate the strategy against your trade journal, build the required backtesting workflow using historical data, and assist with paper trading before live deployment. My approach emphasizes reliability, detailed logging, safety checks, and deployment readiness to ensure smooth operation in live markets. I am comfortable working milestone-based and documenting the complete setup for future maintenance. Based on the scope, I estimate a development timeline of 2–4 weeks, depending on integration complexity and validation requirements. I would be happy to review the specification and existing codebase and discuss the most efficient deployment plan for your trading system.

@manoval09

Hi, You're looking to move an options-selling strategy live on Zerodha, which means integrating position tracking, real-time order execution, and loss-cutting logic into Kite's WebSocket feed—all under live market conditions. I've built exactly this kind of deployment: strategy logic → Kite API order pipeline → reconciliation on fills. My approach: I'll wrap your strategy in a state machine that monitors positions via Kite's data feed, executes sells through the order API with proper error handling, and enforces hard stops via GTT orders for risk control. I'll use Kite's built-in websocket client for tick feeds rather than third-party libraries—fewer moving parts, lower latency. Backtesting harness included so you can validate the live logic against historical data first. First 24 hours: I'll map your strategy's entry/exit rules into executable Kite API calls and confirm you can place test orders on Kite's sandbox. One question up front—do you manage position limits externally, or should the bot enforce a max position size autonomously? Best regards, Val

@dushyant317

I have hands-on experience integrating and deploying automated trading systems with broker APIs, including robust order lifecycle management, paper trading, and live execution workflows. Since your strategy logic is already built and tested, I can focus on validating the implementation against your specification, integrating Kite Connect, handling multi-leg hedge-first execution, and building a reliable deployment pipeline with extensive logging and fail-safe controls.

@serviceaxisgroup

Hi, I can help with deploying your options-selling strategy on Zerodha Kite Connect so it scans, places the hedge-then-main multi-leg orders, and auto square-offs reliably. I’ll start by reviewing your Python engine and spec line-by-line, then wiring Kite Connect for 5‑min live data, basket construction, and full order lifecycle with detailed logs. To reduce risk, I’ll implement DRY-RUN/paper mode first, add strict validation against your rules, and verify fills/rejections/timeouts plus cancel-after-3-candles before switching live. How many live Kite Connect bots have you deployed? Do you want the DRY-RUN to mirror your real order timestamps and 3-month journal matching? Happy to align on milestones and begin review.

@MKCHAND

Hello, I am an experienced Python algorithmic trading developer with hands-on experience building and deploying automated trading systems using Zerodha Kite Connect and other broker APIs. Since your strategy logic, specifications, and core engine are already developed, I can focus on integration, validation, testing, and deployment. ✔ Review and validate the existing strategy against specifications. ✔ Integrate Zerodha Kite Connect for live data and order execution. ✔ Implement multi-leg hedge-first basket execution for margin optimization. ✔ Handle partial fills, order rejections, API timeouts, retries, and auto square-off. ✔ Build multi-instrument scanning for NIFTY and SENSEX option strikes. ✔ Validate backtests against your trade journal and deploy safely in paper mode before live trading. For order management, I use event-driven monitoring, automatic retries, position reconciliation, and risk-control safeguards to ensure reliable execution. I have experience with multi-leg options strategies and broker API integrations. Timeline: 3 working days Project Cost: ₹12,500 (milestone-based) Looking forward to discussing the project details. Best Regards M.K. Python & Algorithmic Trading Developer

@ayuscoder8

I have strong experience with Python-based trading automation and can help review your strategy engine, integrate Kite Connect, implement hedge-first multi-leg execution, robust order management, backtesting validation, and live deployment. I follow a milestone-based approach with paper trading before production to ensure execution matches strategy rules and trade journal expectations. Contact at (+91) 88264-50850