Zerodha Nifty Futures Trading Bot

@vishal1145

Your biggest risk isn't the strategy - it's order rejection during volatile market hours. If your bot doesn't handle Zerodha's freeze limits, margin shortfalls or instrument token mismatches, you'll miss entries or worse, get stuck in losing positions without stop-loss execution. Before I architect the solution, I need clarity on two things: What's your typical position size per trade, and are you trading intraday or carrying overnight positions? This determines whether I build margin checks into pre-order validation. Second, what's your acceptable slippage tolerance during high-impact events like RBI announcements? Kite WebSocket can lag 200-300ms during volatility spikes, so I'll need to know if you want LIMIT orders with price bands or aggressive MARKET orders. Here's the architectural approach: - KITE CONNECT API: Implement OAuth token refresh, instrument dump caching and order status polling with exponential backoff to handle Zerodha's rate limits of 3 requests per second without triggering 429 errors. - WEBSOCKET STREAMING: Subscribe to live tick data for Nifty futures with automatic reconnection logic and tick buffering to prevent data loss during network hiccups or exchange downtime. - RISK MANAGEMENT: Code trailing stop-loss with tick-level precision, position sizing based on real-time margin availability and circuit breaker that halts trading if drawdown exceeds your threshold within a session. - BACKTESTING ENGINE: Build vectorized backtesting using historical NSE bhavcopy data with realistic slippage modeling, brokerage deduction and STT calculation so your backtest P&L matches live results within 2-3%. - CONFIG-DRIVEN LOGIC: Separate strategy parameters into a YAML file so you can tweak entry conditions, stop-loss percentages and time filters without redeploying code or restarting the bot. I've built three algo trading systems for NSE derivatives, including one that executed 400+ trades daily on Zerodha with 99.7% order success rate. I don't take on projects where the client hasn't defined max loss per trade or daily loss limits upfront. Let's schedule a 20-minute call to walk through your rule logic and edge cases like what happens if Kite goes down at 3:20 PM when you're holding an open position.

@Milvetti

Hi, we can help you with your Zerodha Kite Nifty futures bot. We offer lifetime bug fix guarantee. As Milvetti, we help traders automate their strategies. Price is an estimate and may vary by scope.

@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

@mayankinnovative

Hi, As per my understanding: You need a production-ready, fully automated Nifty futures trading bot integrated directly with Zerodha Kite Connect. It must execute trades live based on predefined rules, manage entries, stop-loss, and exits autonomously, process real-time market data, and include a backtesting system with a configurable setup for strategy tuning. Implementation approach: I will build a modular Python system using Kite Connect APIs for order execution and WebSocket streams for live data. The strategy engine will encapsulate rule-based logic for entry/exit with dynamic risk controls. A backtesting module will simulate historical NSE futures data for validation. Configurable parameters (lot size, thresholds, timings) will be externalized via JSON/YAML. Logging, fail-safes, and margin checks will ensure reliability. Final delivery includes documented code, setup guide, and live demo on your Zerodha account. A few quick questions: Do you already have finalized trading rules or need help refining them? Preferred hosting: local machine, VPS, or cloud? Any specific risk limits (max drawdown, capital allocation)?

@techsty2014

Hi, I will build your Nifty futures trading bot in Python with direct Kite Connect integration — automated entry, dynamic stop-loss, and exit execution based on your predefined rules, plus a backtesting engine to validate strategy changes before going live. A config file will let you adjust quantities, time windows, and thresholds without touching code. For the WebSocket streaming, I will implement a heartbeat monitor with automatic reconnection logic. Kite streams can drop during high-volatility windows around market open or expiry days — if the bot misses a tick during an active position, it needs to recover state from the last known order status rather than placing duplicate orders. Questions: 1) Are your entry and exit rules based on price action, indicator crossovers, or a combination? This shapes the data pipeline. 2) Do you need the bot to handle multiple concurrent positions or strictly one at a time? Looking forward to discussing further. Best regards, Faizan

@Shrutibimpl

Hello, I will build your Nifty futures trading bot using Python and the official Zerodha API library. I will implement a robust connection handler for live WebSocket data to monitor price action in real time. The core engine will process your specific trading rules to trigger orders, manage dynamic stop losses, and execute exits automatically. I will also develop a back testing module to test your logic against historical data and a simple configuration file for managing your trade settings like quantity and timing. The system will be designed to handle the nuances of NSE futures, including margin checks and order token mapping, ensuring a stable and autonomous trading experience. 1) Do you have an active Kite Connect API subscription and your login credentials ready? 2) What specific technical indicators or price action rules define your entry signals? 3) Should the bot be hosted on a local Windows PC or a cloud-based Linux server? Thanks, Bharat

@Algokage

Hello, I can deliver a fully-automated Nifty futures trading bot for Zerodha Kite Connect as per your requirements. My approach will involve leveraging advanced Python for modular, testable code, integrating directly with the Zerodha Kite API for real-time market data and order execution, and implementing a rule-based strategy with dynamic risk management. I’ll include a back-testing engine and a simple config layer for adjustments. With 5+ years of experience in trading systems, I’ve worked on similar projects, including Zerodha-based solutions. Send a message to see samples or discuss further. Thanks, Adegoke. M

@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.

@prashanpatel557

hello, I can build your Zerodha Nifty Futures automated trading bot with clean architecture, real-time execution, and proper risk handling aligned with NSE trading behavior. Approach: 1. Real-Time Data Engine • Kite WebSocket for tick-level streaming • Efficient in-memory processing (low latency) • Stable auto-reconnect + session handling 2. Strategy Execution • Convert your rules into modular Python engine • Event-driven (runs on every tick, no delay) • Handles entry, SL, exit logic precisely 3. Order Management • Instant order placement via Kite API • Handles partial fills, rejections, retries • Auto square-off before market close 4. Risk Management • Dynamic stop-loss logic • Max loss/day & trade limits • Time-based filters (NSE session aware) 5. Backtesting Engine • Historical data testing (no lookahead bias) • Metrics: P&L, drawdown, win rate • Same logic reused for live (no mismatch) 6. Config & Deployment • Config file for quantity, timings, thresholds • Ubuntu VPS-ready (headless run) • Clean logs (CSV/JSON) for audit Deliverables: • Full Python codebase (modular) • Live engine • README + setup guide • Demo (live trade cycle/screenshare) Timeline: 7–10 days I have experience with Kite API, intraday automation, and Indian markets, so execution will be stable and practical. Question: Is your strategy based on a single Nifty futures contract or does it require multi-instrument confirmation (spot/options)?

@abdf2010

Hi there, I've taken a close look at your project for a fully-automated Nifty futures trading bot that integrates with Zerodha Kite Connect. It's clear you need a reliable, rule-based strategy that can handle entry, stop-loss, and exit without manual intervention, all running live on Kite. My background in Python and experience with the Zerodha Kite API will be invaluable in delivering this project. I've worked on similar projects that involve creating clean, modular, and testable code, which is essential for a trading bot. My understanding of financial markets and risk management will also help in developing a robust strategy. To get started, I'd like to discuss the specific requirements of your rule-based strategy and how it can be implemented using Python. Let's discuss the details of your project and how I can help you achieve your goals - I'm looking forward to exploring how we can work together to bring your trading bot to life.

@ffulb

Your Nifty futures bot needs Python automation that connects directly to Zerodha Kite for live order execution, real-time data streaming, and rule-based risk management. I'll build this with WebSocket feeds for market data, automated stop-loss logic, and a config system so you can adjust parameters without code changes. I recently built an algorithmic trading bot for crypto markets using REST/WebSocket APIs with automated PnL tracking and risk controls. Also have a Telegram operations bot that monitors multiple systems in real-time, which shows similar automation patterns you'd need here. You can check out my work at ffulb.com. I'm in India and ready to start immediately. Once I take a look at your Zerodha Kite Connect API setup (API key, credentials) I can assess the integration requirements and begin development. Should be straightforward but want to verify the account configuration first before diving into the live trading components.

@Mayanks010

Hi there, You’re absolutely in the RIGHT PLACE. I’ve delivered SIMILAR PROJECTS multiple times and know EXACTLY how to execute this efficiently and correctly from day one. To lock down the SCOPE, TIMELINE, AND PRICING, I’ll need to ask you a few key questions. Unfortunately, Freelancer’s 1500 CHARACTER LIMIT doesn’t allow me to break everything down properly here. Let’s jump on CHAT so I can show you my PROVEN PAST WORK, walk you through the REAL RESULTS I’ve delivered, and outline a CLEAR ACTION PLAN for your project. You’ll immediately see why my approach is DIFFERENT and EFFECTIVE. If you’re serious about getting this done RIGHT, I’m ready to move forward. Looking forward to CONNECTING and WINNING TOGETHER. Cheers, Mayank Sahu

@Hemantt841

Developing a fully-automated trading bot for Nifty futures on Zerodha Kite Connect demands a precise blend of market insight and technical expertise, especially given the live trading environment with zero tolerance for latency or errors. The core challenge lies in seamlessly integrating rule-based trade execution with dynamic risk management, all while ensuring real-time responsiveness to market data streams. Understanding the nuances of NSE futures, including margin requirements and intraday price behavior, is crucial to architect a system that not only executes trades flawlessly but adapts swiftly to market conditions without manual intervention. Leveraging advanced Python capabilities, the bot will be constructed with modular, testable components designed for clarity and efficiency. Integration with Zerodha’s Kite API will be handled via WebSocket streaming for real-time data ingestion, alongside robust order placement logic that respects instrument token mapping and margin constraints. The solution will include a comprehensive back-testing engine, enabling validation of strategy tweaks against historical data before deployment. A user-friendly configuration layer will empower you to adjust parameters like trade quantity and thresholds, ensuring flexibility without code changes. This approach guarantees a resilient, maintainable system tailored to live trading demands. Commitment to quality will be demonstrated through a live end-to-end demo on your Zerodha account, showcasing the entire trade lifecycle with transparent performance metrics. Deliverables will include thoroughly documented source code, a detailed README for environment setup, and a walkthrough video comparing back-test results with live execution. Open communication and, if feasible, an in-person session in Bangalore can expedite fine-t

@kuldeepsharma30

Hello, This is not just a trading bot—you need a reliable, rule-based automation system for Nifty futures that executes live trades on Zerodha with precision, risk control, and stability. I have worked on Python-based trading systems with real-time data streaming, rule engines, and API integrations for automated execution. My approach: Build modular Python system integrated with Zerodha Kite Connect APIs Implement rule-based engine for entry, stop-loss, and exit logic Use WebSocket streams for real-time market data processing Add risk management with dynamic SL and controlled execution Develop backtesting module to validate strategies before going live Provide config layer for easy parameter updates without code changes Clean, documented code with demo, walkthrough, and deployment guide Budget: ₹75,000 (complete development, testing, and live demo) Timeline: 2–3 weeks for end-to-end delivery Quick questions: Do you already have finalized trading rules or should I help structure them? Will this run on a VPS for continuous execution? Regards, VK

@anandan1995

Hello, I have read your job description and I am interested in your job post.I am ready to start now. Please send me a message to discuss more about your project, already work with Kite api integration in .net Can you please give me a chance I am a Senior Software Developer with over 8+ years of experience in designing and developing scalable web and desktop applications. I specialize in Microsoft technologies and delivering high-quality, secure, and performance-driven applications. My Expertise: Backend Development:ASP.NET, ASP.NET Core, MVC, Web API, WebForms, WCF Services Programming Languages:C#, Frontend Development:JavaScript, jQuery, AJAX, HTML, CSS Database Technologies:SQL Server, MySQL Reporting Tools:Crystal Reports, RDLC, SSIS, SSRS

@bagdenavdeep

Hello, I have experience in building bots for stock exchange and crypto. Built several successful bots by applying client's specific strategy. With 9 years of experience in software development, I would be the ideal candidate for the project. Lets catch up and start the project right away.

@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

@mrkk4ever

Dear Client I saw your requirements regarding to develop a NIFTY FUTURES TRADING BOT using Zerodha KITE API in python. I can develop this application ASAP. I developed many applications is similar to your requirements. Such as an Indicators, Charts, Analysis Applications, Screener Applications and Trading BOT for various exchanges including Zerodha KITE API. Let share further details. Thanks and Regards Kannadasan K

@rahulb617

Hi, I have made bots in fyers, binance,shoonya and dhan app recently I have made bot in dhan app future and options I can help u with all your requirements let discuss and I will also show the recent bot I have made for future and options