TradingView-Zerodha Algo Integration

@koolvishruth

Hi Sir, I am from banglore. I have prior experience in trading algorith development using dhan,zerodha api.I will build end to end as mentioned & deliver.I would like to connect through chat for it

@ashinnd84

Hi, Your project "TradingView-Zerodha Algo Integration" is a good fit -- Python backend and automation work is my main line of work. How I would run it: 1. Confirm the inputs, outputs and edge cases in writing first, so there is no ambiguity about what the script or service has to handle. 2. Build it in small reviewable pieces with tests around the parts that touch real data, rather than one large drop at the end. 3. Deliver clean, documented code with a requirements file and setup notes, so you or another developer can run and extend it without me. Matching your listed skills: API, Trading, Backtesting, Risk Management, Python, Software Architecture, C++ Programming, Algorithm. My bid is ₹10625, within your ₹1500-12500 range. Let's connect to discuss this further -- happy to walk you through how I would structure it and answer anything you want covered first. Thanks for your time. Best regards, Ashish & Team

@bhanucoder

Hi Sir, I can build a high-speed, reliable automated execution system between TradingView and Zerodha that guarantees sub-2 second order placement. I will refine and backtest your Pine Script strategy to optimize entry/exit logic and provide a clear performance report. The integration will feature full risk management controls—including position sizing, dynamic stop-loss, max daily drawdown, and automatic error handling for margin or connectivity issues. You'll also get an easy-to-use configuration file so you can adjust contracts, quantities, and risk parameters anytime without touching code.

@Shrutibimpl

Hello, I can refine your Pine Script option strategy and build a secure Python bridge to execute trades on your Zerodha account. My plan is to optimize your TradingView strategy for option signals, incorporating dynamic stop loss, position sizing, and maximum daily drawdown limits. I can build a lightweight Python middleware using FastAPI to receive incoming webhooks from TradingView. The service will parse the option parameters, apply risk checks, and route market or limit orders directly to Zerodha using the Kite Connect API. I can include error handling, logging, and an external configuration file to let you edit lot sizes, strike rules, and risk caps easily. In a past project I built a Python FastAPI bridge that processed TradingView webhooks and executed automated options orders on Zerodha with low latency. 1) Are you trading Nifty or BankNifty options, and do you select At-The-Money or Out-Of-The-Money strike prices? 2) Do you already have active developer API credentials for Zerodha Kite Connect? 3) Where do you plan to host the Python bridge, such as a local machine or a cloud VPS? Thanks, Bharat

@prashanpatel557

Hello, Your project is an excellent match for my expertise in Python algorithmic trading, TradingView Pine Script, Zerodha Kite Connect API, and automated execution systems. I’ve developed end-to-end trading applications with TradingView webhooks, WebSocket market data, risk management, paper/live trading, backtesting, and VPS deployment for Indian markets. I can refine your existing TradingView strategy, optimise the entry/exit logic, and build a robust Python middleware that receives TradingView webhook alerts and executes option trades through Zerodha Kite Connect with low latency. The system will include configurable position sizing, dynamic stop-loss, trailing exits, maximum daily loss limits, duplicate signal protection, comprehensive logging, automatic retry handling, and a simple configuration panel for changing contracts, quantities, and risk parameters without modifying the code. If you’d like a more scalable solution, I can also develop a Python-based web dashboard (Flask/FastAPI) that runs on your local PC or VPS, allowing you to monitor live trades, P&L, webhook events, broker connectivity, and strategy settings from both desktop and mobile. I’m ready to start immediately and can deliver a production-ready solution with complete source code, deployment assistance, backtesting support, documentation, and a live end-to-end demo on your Zerodha account.

@prabhathk5

Hi Sir Hope you doing well! I’ve reviewed your requirement and would like to discuss it further. I’m Prabhath — an MQL4/MQL5, Pine Script, Python, and C++ developer with strong experience in building trading systems, advanced studies, and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5 and TradingView. As an active trader, I work with concepts like ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic. I build EAs and indicators that follow precise rules and match the user’s trading methodology perfectly. My expertise includes: Institutional-grade EA and indicator development ICT/SMT-based trading systems Pine Script indicators and automated strategies Python tools for data analysis, signals, and external integrations C++ modules for high-performance components Backtesting, forward testing, and full strategy optimization Strategy development, refinement, and consulting Once we discuss your project and you select me as the developer, I prefer a short call to confirm all details before starting. This ensures perfect clarity and avoids misunderstandings. I fix and optimize existing trading code by removing errors, correcting logic issues, and making your EA/indicator/bot stable and production-ready. Thank you.

@NEHABHAT92

As a seasoned developer with a strong command of Python, I have the technical proficiency and problem-solving mindset to elegantly bring your vision to life. I understand that not just building an integration, but fine-tuning it with robust risk controls is crucial for success. My 9+ years in the industry working on complex projects - including E-commerce and CMS based websites that required precision decision-making - have honed my skills when it comes to handling mission-critical operations, like yours. Moreover, my extensive experience in webscraping and API integrations make the TradingView and Zerodha meshup well within my wheelhouse. I have successfully delivered fast, responsive solutions that require low-latency data handling such as you are looking for here. Additionally, I can assure you clean coding practices with comprehensive logging and error-handling mechanisms that ensure the highest level of accountability and transparency. Lastly, you can count on me not only to deliver a robust system, but also to provide dependable support post-delivery. Whether it's about scaling the system as per your needs or dealing with any unexpected glitches down the road, I will be there for you. Let’s get started on creating a powerhouse solution to transform your TradingView signals into automatic orders on Zerodha!

@Algokage

Hello, I hope you're doing well. I am an experienced trading and algorithm development professional with a strong background in financial markets and trading platforms. With over 3 years of experience in trading and algorithm development, I have successfully designed and implemented trading strategies for various asset classes, including options. My expertise lies in developing and optimizing trading algorithms, particularly in the MetaTrader 4 (MT4) environment, which is similar to the TradingView platform you mentioned. The project's goal of integrating TradingView option-trading signals with Zerodha's Kite Connect API is a challenging yet achievable task. I propose a solution that leverages TradingView webhooks and Python middleware to create a seamless and efficient trading system. By utilizing Python, we can ensure a low-latency connection between TradingView and Zerodha, allowing for real-time order execution. The middleware will be designed to handle alerts, route orders, and implement robust risk management controls, including position sizing, dynamic stop-loss, and maximum daily drawdown limits. I deliver high-quality, well-documented code, ensuring that the solution is easy to maintain and adjust. Upon project completion, I will provide a revised TradingView strategy script with clear entry and exit logic, a backtesting report showcasing performance metrics and annotated trades, and a comprehensive installation guide. I am confident that my expertise and approach will result in a reliable and efficient trading system that meets your requirements. Thanks, Adegoke M.

@nexvative

Hi, I can help you turn your TradingView option signals into a fully automated, production-ready trading system integrated with Zerodha Kite Connect. I have experience building algorithmic trading platforms, TradingView webhook integrations, broker API automation, and Python-based trading systems with robust risk management. I'll refine your TradingView strategy, optimize entry/exit logic, validate it through backtesting, and develop a low-latency Python middleware that receives TradingView alerts, performs pre-trade risk checks, and executes option orders through Kite Connect. The system will include configurable position sizing, dynamic stop-loss, daily loss limits, order retry logic, detailed logging, and automatic handling of API failures, margin issues, and connectivity interruptions. You'll receive: • Optimized Pine Script strategy with documented logic • Comprehensive backtesting report with performance metrics • Python middleware with TradingView webhook integration • Easy configuration for contracts, quantities, and risk settings • Complete deployment documentation and handover support

@alluankit01

Hi, I can integrate your TradingView option-trading signals with Zerodha Kite Connect API using a reliable Python middleware for real-time automated order execution. The best solution is to first review your TradingView strategy logic, option contract selection rules, alert format, risk limits, and current backtest results. Then I’ll refine the Pine Script logic, configure webhook alerts, build the Python bridge, and add checks for position sizing, dynamic stop-loss, max daily drawdown, exits, margin errors, rejections, and connectivity issues. I’m comfortable with TradingView Pine Script, Zerodha Kite Connect API, Python automation, webhook handling, options trading workflows, backtesting, risk management, logging, configuration files, and live order execution testing. Deliverables will include: * Revised TradingView strategy script * Documented entry and exit rules * Backtesting report * Python webhook middleware * Zerodha order placement integration * Position sizing and risk checks * Stop-loss and exit handling * Error handling and logs * Configurable settings * Installation guide and handover support I’ll focus on safe execution, clean logging, and strict risk controls so the system can be tested carefully before moving into full live use. Best regards Ankit

@loxtic

Hi, how are you doing? I have considerable experience integrating TradingView alerts with Zerodha Kite Connect for automated option trading, with backtesting, risk controls, and clear logs. I’ve built Python-based bridges that handle real-time alerts, latency under two seconds, and robust error handling, plus configurable risk limits and simple dashboards. I can revise your strategy script, generate backtesting reports, and deliver an end-to-end setup with installation notes and a hand-off call. Let me know further if interested.

@shivamhardia

Automating TradingView option signals into reliable Zerodha execution requires more than webhook integration it needs robust risk controls, low-latency order routing, and fail-safe handling to ensure trades execute consistently in live market conditions. I have experience building algorithmic trading and portfolio management platforms using Node.js, Python, Trading APIs, WebSockets, and real-time event processing. Recently, I developed an API-based Portfolio Management System where a single admin manages 200+ client portfolios through automated trading workflows, live portfolio synchronization, risk controls, and broker API integrations. My approach is to review and optimize your TradingView strategy, validate it through backtesting, build a secure middleware that processes TradingView webhooks and executes option orders via Zerodha Kite Connect, and implement configurable risk management, detailed logging, and automatic recovery for order failures or connectivity issues. Deliverables: TradingView strategy refinement, backtesting report, Zerodha Kite middleware with risk controls, configuration panel/file, installation guide, and deployment handover. Let's connect to discuss your current strategy and the execution workflow. Thank you!

@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

@jaroslavcaprata

Hi, You already have the TradingView strategy logic in place, so the main challenge is turning it into a reliable execution system rather than just connecting alerts to orders. The important parts will be validating the strategy rules, handling real-time webhook events, and adding proper safeguards before any live trading happens. I would approach this by reviewing the existing Pine Script logic first, identifying any gaps in entries, exits, and risk handling, then building a Python-based middleware layer around TradingView webhooks and Zerodha Kite Connect API. The execution layer would include order validation, position sizing rules, stop-loss and exit management, logging, and handling for API failures, rejected orders, or connectivity issues. Before deployment, I would test the complete flow with backtesting results and a controlled live demo to verify that signals, orders, and risk limits behave as expected. One important detail: is your current TradingView script already using strategy functions with historical backtesting, or is it currently only generating indicator alerts? Thanks.

@Ritesh11gupta

I see you're looking to automate your TradingView signals with Zerodha. I have solid experience with Python and API integrations, which makes me a great fit for this. What specific features do you want the automation to have?

@mikes126

Hi there I've built and deployed exactly this kind of TradingView → Zerodha automation bridge before - Python middleware that listens for webhook alerts, validates them, and fires option orders through Kite Connect with sub-2-second latency. - TradingView strategy refinement - I'll review your existing Pine Script, fine-tune entry/exit logic, and document everything clearly. - Backtesting - I'll run your strategy through historical data and deliver a performance report with annotated trades. - Python middleware - Lightweight webhook listener with validation layer, Kite Connect integration, and comprehensive logging. I'll include a simple config file so you can adjust contracts, quantity, and risk limits without touching code. - Risk controls - Position sizing, dynamic stop-loss, max daily drawdown, and clean exit rules enforced on every order. - Error handling - Automatic handling of rejections, margin errors, and connectivity drops. Deliverables: Revised Pine Script, backtesting report, middleware with risk checks, installation guide, and a hand-off call. Timeline: 10 days. I'll do a live demo with your Zerodha account in a small-size session before final sign-off. Let's hop on a call to review your current TradingView strategy and confirm the webhook payload structure. Best, Mikya

@bizvivo

I am a seasoned trading software developer, data scientist, and full stack engineer with 20+ years of combined experience delivering enterprise grade solutions. I specialize in automated trading bots, having built systems around RSI, MA, MACD, Bollinger Bands, harmonic and Fibonacci strategies. Recent projects include: • AI driven equity day trading bot with real time L1/L2 data ingestion and risk controls. • Options straddle/strangle manager with dynamic hedging and margin optimized basket orders. • Multi asset scalping bot tuned for ultra low latency execution. • Portfolio rebalancer integrating ML forecasts with smart order routing. • Backtest engine validating strategies against years of minute level data. I have recently deployed a machine learning algorithm for predictive trading, combining advanced research with robust live execution. Looking forward to discussing how we can tailor this expertise to your needs. Best Regards, Radhika

@thiagofoz87

Your project requires more than a simple TradingView webhook relay. The critical part is guaranteeing reliable execution under real market conditions while enforcing risk controls before every order reaches Zerodha. I would structure the solution in three layers: - TradingView strategy refinement and signal normalization, including clear entry/exit rules, position sizing logic, stop-loss handling, and daily drawdown protection. - A low-latency middleware service (Python is a good fit here) responsible for webhook ingestion, validation, risk checks, retry policies, order routing to Kite Connect, and detailed execution logging. - Operational tooling with configurable parameters for contracts, quantities, risk limits, and execution behavior without requiring code changes. For reliability, I would include: - Idempotent order processing to avoid duplicate executions - Graceful handling of API failures, rejected orders, and connectivity interruptions - Structured logs and execution traces for debugging and auditability - Real-time latency monitoring between TradingView alerts and broker execution I can also provide a backtesting workflow with performance metrics and annotated trades so the live deployment is based on measurable results instead of raw signal assumptions. The final delivery would include the revised TradingView script, middleware source code, deployment instructions, and a live validation session on your Zerodha account using controlled position sizing.

@Heorhii01

Hi, I hope you're doing well. I understand you're looking to automate your existing TradingView options strategy by integrating it with Zerodha while ensuring the execution is reliable, low-latency, and protected by robust risk management. The goal is to refine the strategy, validate its performance through backtesting, and deploy a dependable trading pipeline for live execution. I will enhance the TradingView strategy logic, build a Python middleware that receives TradingView webhooks and securely routes orders through the Zerodha Kite Connect API, and implement configurable risk controls including position sizing, stop-loss management, drawdown limits, and error handling. I will also provide detailed logging, backtesting results, clear documentation, and end-to-end testing to ensure stable live operation. My focus is on delivering a reliable, maintainable algorithmic trading solution with clean implementation, strong risk controls, comprehensive testing, and a smooth handover process. Best regards, Heorhii