Automated TradingView to any broker Bridge

@NEHABHAT92

I understand that my skill set may not align perfectly with what you are seeking, however, I believe my extensive experience in web development and mobile app design can still be valuable to your project. Over the past nine years, I have honed my expertise in various programming languages such as PHP, Java, HTML, CSS and more. These skills have given me a strong foundation for developing applications and handling complex coding requirements. Moreover, having worked on SEO Services and CMS-based websites, I understand the crucial need for secure environments when handling sensitive information like API keys. Keeping those credentials confidential is a top priority and I always maintain the highest security measures while deploying projects. While I acknowledge this project leans towards the specific field of automated trading, my adaptability has consistently been a strength of mine throughout my career. I am committed to putting in all the necessary efforts to quickly learn and master new tools or technologies required for any given project. In addition to my adaptable nature, selecting me for this job guarantees prompt response times and top-quality work throughout our engagement. Thank you for considering my proposal and looking forward to discussing the project further.

@mdabdullahallm5

I can develop a secure Python-based TradingView webhook bridge for either Zerodha or Dhan that reliably executes your alerts as live trades. The bridge will include a webhook listener (Flask/FastAPI) to parse JSON alerts, log all activity, and translate them into broker API orders (market, limit, stop-loss, take-profit). Position management will handle both entries and exits, supporting any instrument type (equities, FNO, commodities) with flexible expiry, strike selection, and rollover rules. API keys will be stored securely in environment variables with HTTPS communication. I will also provide a testing phase using the broker’s sandbox/paper environment, and clear deployment instructions for a cloud server.

@Shrutibimpl

Hello, I have a few queries regarding the TradingView bridge and broker integration. 1) Which broker API do you want to prioritize first, Zerodha or Dhan? 2) Do you have a server or cloud platform ready to host the webhook listener? 3) Should the bridge support multiple TradingView accounts or just one? I will develop a server side application in Python to act as a bridge between TradingView and your broker. The app will use a standard web framework to listen for incoming webhooks and parse the JSON payload for order details. I will integrate the broker's official API to handle secure authentication and trade execution across various segments like Cash and F&O. The logic will include robust error handling, position tracking, and secure credential management using environment variables. I will also provide a method to map strategy signals to specific strike prices and expiry dates to ensure full flexibility for your trading requirements. Thanks, Bharat

@prashanpatel557

Hello, I can build a secure, production-ready TradingView webhook bridge for Zerodha (Kite Connect) or Dhan (DhanHQ). I have more hands-on experience with Zerodha’s API, including F&O and product-type handling. Approach: 1. Webhook Service FastAPI-based HTTPS endpoint to receive JSON alerts. Structured logging for every webhook (payload + timestamp). Validation layer to prevent malformed or duplicate signals. 2. Broker Integration Secure OAuth login flow. API keys stored in environment variables. Order placement for Market, Limit, SL, SL-M, Target. Position-aware logic: entry, exit, reverse handling. 3. Execution & Risk Symbol mapping (Cash/FNO/Commodity). Strike/expiry selection logic (configurable rollover rules). Stop-loss and target support from webhook payload. Duplicate order prevention + retry logic. 4. Deployment Docker-ready setup. VPS/AWS deployment guide. Estimated timeline: 5–7 days with structured milestones. Ready to discuss broker preference and webhook payload format.

@bhartimalu

Hello, I can build a reliable Automated Bridge between TradingView and any broker using PHP/Python so your alerts trigger real orders with proper authentication, error handling, and logging. I’ll ensure secure webhook processing, customizable strategies, and smooth execution across platforms. Ready to start. Regards, Bharti

@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.

@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

@yuanzhi5

Building a reliable bridge between TradingView webhooks and broker APIs like Zerodha or Dhan requires a robust backend that can handle asynchronous order flow and ensure execution integrity. The core challenge is not just receiving alerts but managing the entire lifecycle—parsing payloads, maintaining state, and handling broker API idiosyncrasies with low latency. Based on this scope, I'd suggest a budget of 200.0 INR for a focused initial implementation plan. This would cover delivering a working prototype using Python and FastAPI to set up the secure webhook endpoint, map TradingView alert structures to a broker order format, and demonstrate a single, validated execution flow to Zerodha's API. This milestone provides a concrete foundation to validate the integration approach before scaling. To refine the technical approach, could you share more about the specific data points your TradingView strategy will include in its webhook payloads? Knowing the exact structure for symbols, quantities, and order types will ensure the bridge parses and routes instructions correctly from the start.

@samyak8840

Hi, I am Samyak. I am developer + trader having 7+ years of experience in both. I worked with 8 clients and received good feedback. I have Mastery in FastAPI I will make all connectivity in lesser time. We can connect on chatbox. Thanks

@dineshk743

Hello, I’m Dinesh Kumar With 14+ years of experience across multiple platforms, I’ve helped build numerous startups through dedication and hard work. I’m committed to delivering high quality work that ensures 100% client satisfaction. Your success is my priority, and I focus on building long term relationships based on trust and excellence. Expertise: Web & App Development – React.js, Node.js, JavaScript, PHP, MySQL, WordPress, Magento, CodeIgniter, Shopify, .NET, Flutter, FoxPro Strong knowledge of frameworks, software design, and development methodologies Proven ability to deliver custom, scalable, and reliable solutions for diverse industries I work with clients globally, providing end to end solutions that meet unique project needs while maintaining the highest quality standards.

@rahulb617

hi,i have already created trading platforms using fyers, binance , nifty futures and options and shoonya trading app looking at your requirements i can help you with your project dm me

@matthewc382

Hello, As an experienced developer specializing in Python and backend engineering, I am an ideal fit for your Automated TradingView to any broker Bridge project. My previous work with complex API integrations, including popular brokerage platforms like Zerodha and Dhan, gives me the edge you need to create a robust and secure trading bridge. My proficiency in aligning with webhooks, extracting key parameters from JSON payloads and manipulating them to execute trades will be highly beneficial in developing the effective Webhook Listener Module you require. Moreover, my risk management abilities will enable me to ensure smart execution logic and thorough order management for stop-loss, target-profit orders and more. Security is of prime importance while handling sensitive API credentials and I am well-versed with storing such confidential information securely (e.g., environment variables) and using HTTPS communication. Additionally, my experience in designing clean architectures and deploying server-side applications effectively will contribute seamlessly to building and deploying this project smoothly on cloud servers like AWS or DigitalOcean. With me at your side, rest assured that not only will I develop a system tailored to your specific trading requirements but also that it will be comprehensively tested in Sandbox environments before deployment. My proficiency extends from Python libraries to FastAPI for systemizing RESTful Thanks!

@mikodevofficial

As an experienced Full Stack Developer, I am confident in my ability to create a robust and efficient trading bridge for you. While my background leans towards PHP, I have extensive experience with both Python and web development frameworks like Flask and FastAPI which are highly relevant to this project. I have also worked with TradingView webhooks extensively and possess strong skills in handling JSON payloads. When it comes to choosing the right API partner, I have had significant experience with Zerodha's Kite Connect API, having built several web services around it. However, I am confident that due to my familiarity with APIs and their integration, I can quickly adapt and work effectively with DhanHQ API as well.

@lokdeshwark

I believe I am the perfect fit for your Automated TradingView to any broker Bridge project. With several years of experience in Python, Security, Software Architecture, and Web Development, I am well-equipped to handle the challenges associated with creating a reliable, secure, and fast application like a trading bridge. Additionally, my expertise extends to working on Trading APIs and I have notable experience with integrating with Zerodha's Kite Connect API. My approach to this project would prioritize not only the effective integration of webhooks but also ensuring robust error handling for API failures as this is paramount to maintaining smooth trading operations. Utilizing my wealth of knowledge, I intend to design an efficient system capable of executing trades instantly upon receiving a valid webhook alert while effectively managing positions, risk, stop-loss and take-profit orders.

@mfilipovacfl

Hi, I can build your TradingView → Broker automated bridge in Python, handling Zerodha Kite Connect or DhanHQ API securely and reliably. Here's a concise approach: Experience & Approach: * Python & Webhooks: I’ll use FastAPI or Flask to receive JSON webhook alerts from TradingView. Payloads will be parsed for ticker, order_type, quantity, price, product_type, stop-loss, and target. * Broker API Integration: I have more experience with Zerodha Kite Connect API, including placing market, limit, SL, and target orders. I’ll structure API calls to ensure any strategy signal (buy/sell, cash, F&O, commodity, expiry, strike) executes correctly. * Trade & Position Management: The system will track existing positions to handle entries and exits automatically. Flexible enough for rollovers and expiry selection by date/strategy. * Security: API credentials stored securely via environment variables, HTTPS enforced, with detailed logging for all actions and errors. * Testing & Deployment: I’ll implement a sandbox/paper trading phase before live execution and provide a clear deployment guide for a cloud server (AWS/DigitalOcean/VPS). Timeline: ~2–3 weeks I can start immediately and ensure reliable execution of all signals from TradingView to the broker. Do you want me to propose a milestone-based plan with costs next?

@mishrac2

I made similar using Zerodha API key and I can show a live demo of a TradingView webhook bridge that executes trades instantly via Kite Connect. The system receives TradingView alerts, parses JSON payloads, and places market/limit/SL orders with proper logging, position management, and error handling. I have strong experience with Zerodha Kite Connect API and have also worked with DhanHQ API. However, I am more experienced with Zerodha, including authentication flow (request token → access token), order placement, position tracking, and handling edge cases like rejected orders or insufficient margin. My Approach: 1. Architecture Build a secure webhook listener using FastAPI (preferred for speed) or Flask. Deploy on a VPS/AWS with HTTPS enabled. Structured logging for all incoming alerts and order responses. 2. Webhook Handling Validate and parse TradingView JSON (ticker, side, qty, price, product, SL/TP). Map strategy signals dynamically (cash, FNO, commodity, expiry-based contracts). Flexible strike & rollover logic based on month/date rules. 3. Execution & Position Management Entry & exit signal handling. Check existing positions before placing new trades. Support MIS/CNC/NRML. SL & target order placement (regular or bracket-style logic). Robust error handling with retry logic. 4. Security API keys stored in environment variables. Token auto-refresh handling. IP-restricted webhook endpoint.

@Royalitservices

As a Full-Stack Digital Developer with a strong background in web services and API integrations, I have the skills and experience you're looking for to create this automated TradingView to broker bridge. I specialize in working with Python, Flask, and FastAPI -- all of which are ideal for building the type of server-side application you need. I am familiar with the Zerodha Kite Connect API, and am confident in my ability to integrate with DhanHQ's API as well given their shared nature. Security is always at the forefront of my mind when handling API credentials. I commit to storing sensitive information securely in environment variables and using HTTPS for all communication, ensuring your data is always protected. Plus, I understand the importance of a robust error handling system in automated trading; I'll make sure to record all logs and send you error notifications so you can stay on top of any issues. I approach projects with an emphasis on delivering clean, scalable solutions built for performance and growth. If you choose me for this project, I will ensure a thorough testing phase to verify every aspect works as intended before deployment. You can trust that your cloud-based server will be set up efficiently with clear deployment instructions. Let's get started on transforming your trading strategies into reliable automated executions!

@hezarfen4

I can build a reliable TradingView-to-broker webhook bridge that handles signal ingestion, auth management, and order routing to any supported broker API automatically. Delivery plan: 1) Lightweight Python service (Flask or FastAPI) to receive TradingView webhook alerts securely. 2) Broker adapter layer supporting configurable endpoints, auth tokens, and order parameters. 3) Signal-to-order mapper: translates alert JSON to broker-native order format with retry logic and error handling. 4) Audit log for every signal received, order sent, fill confirmed, and exception raised. I have hands-on experience building live trading automation pipelines. Can start immediately and share a first working prototype quickly.

@niketu88

Hi, You need a secure, production-ready Trading View webhook bridge that converts alerts into real broker executions on Zerodha or Dhan with full flexibility for cash, F&O, commodities, strike logic, and rollovers. I will build this in Python (FastAPI preferred): - Webhook Listener (HTTPS endpoint, JSON parsing, structured logging) - Execution Engine (market/limit/SL/TP support) - Position Manager (entry/exit sync, duplicate prevention) - Strike & expiry selection logic (date based monthly rollover) - Risk module (SL/Target validation before order fire) - Secure credential storage via environment variables - Robust error handling + retry logic Experience: Stronger with Zerodha Kite Connect (WebSocket + order lifecycle). Security: API keys via .env, encrypted storage, no hardcoding. Milestones: Webhook module Broker integration Order management logic Sandbox testing Cloud deployment guide Let’s define broker choice and strike logic rules to begin.