TradingView Algo Dashboard Build

@sdqtrades

Upon reading your project requirements and all provided details, I am super-confident in my trading development skills and years of experience (especially with indicators and EA in Metatrader 4/5 platform) to develop this trading tool as you described. # NDA - All your ideas are 100% confidential. # Intellectual Property - You have full ownership of the software and source code. # Fast and Quality delivery. We shall communicate much better on your project when you open a chat with me. Eni O.

@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

@AZTURK1

Hi there, I will build a Python-first webhook-to-order system that maps TradingView alerts (MA/RSI payloads) into three isolated order segments: F&O stocks, index options (Nifty50/BankNifty/Sensex), and long-term equities. My DevOps background and production-focused architecture ensure modular broker connectors and safe paper→live flow. - Receive TradingView JSON webhooks, parse MA/RSI params, and route orders per segment (F&O, index options, long-term). - Implement REST + WebSocket layer for sub-second updates and a responsive JS dashboard showing live positions, closed-trade P&L, filters and CSV export. - Paper/live toggle with clear status, staged deploy, rollback plan and integration tests to validate <1s order simulation. - Delivery: installation guide, documented code, 30‑minute hand-over session. Skills: ✅ Python ✅ REST API / WebSocket ✅ TradingView webhook parsing (MA, RSI) ✅ Docker / VPS deployment ✅ Risk controls: staged deploy, unit/integration tests, minimal downtime ✅ PostgreSQL / time-series storage (optional) Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 I’m available to start; Which broker(s) do you currently prefer or want to keep options for (X, Zerodha, Interactive Brokers, custom API)? Best regards,

@ASSAMWEB

i don't know much about market much but i have worked in many market data application. Greetings, I have read the project description I have been working on a similar project in recent time "TV data" I am interested in the work open a chat to discuss requirements in details.

@mayankinnovative

Hi, As per my understanding: You need a complete trading automation system where TradingView webhook alerts trigger orders for three segments—F&O stocks, index options (Nifty, BankNifty, Sensex), and long-term stock investments. A Python backend will interpret alert payloads, process logic using indicators like Moving Averages and RSI, and route trades accordingly. The system should support both paper trading and live trading, while a responsive web dashboard displays live positions, historical trades, and P&L analytics with real-time updates. Implementation approach: I will build a modular Python backend that listens to TradingView webhook JSON and routes alerts through an order management layer separated by segments. Indicator parameters from alerts will dynamically influence position sizing and entry/exit logic. A paper-trading engine will simulate orders, while a switchable broker connector layer will enable live trading later without modifying strategies. The backend will expose REST/WebSocket APIs for a responsive dashboard showing live trades, P&L analytics, and exportable history with sub-second updates. Clean architecture and documentation will ensure easy extension. A few quick questions: Which broker APIs are you most likely to use for live trading later? Do your TradingView alerts already include structured JSON payloads? Do you prefer the dashboard built with React or another framework?

@amaank66

Your requirement for a TradingView webhook–driven automated trading system with a real-time dashboard is clear, and I can build a robust solution that handles alerts, executes trades, and provides full visibility across all trading segments. The backend will be developed in Python, designed to receive TradingView webhook JSON alerts, interpret the strategy payload (including indicators such as Moving Averages and RSI), and route orders to the appropriate segment: F&O stocks, index options (Nifty, Sensex, BankNifty), and long-term equity investments. The architecture will be modular so broker connectors can be added or switched easily without modifying the core strategy logic. Key components will include: • Python order management engine for webhook processing and trade routing • Paper trading mode with seamless switch to live trading • REST/WebSocket layer for sub-second updates to the dashboard • Responsive web dashboard showing live positions, closed trades, and full trade history with P&L analytics • Filtering and CSV export of historical trades per segment The system will ensure alerts trigger actions within one second, the dashboard updates automatically, and all three trading segments can run concurrently without conflicts. Clean, modular code and a clear installation guide will be provided, along with a short hand-over session so you can easily modify indicator parameters later. Best regards, Amaan Khan L. (CUBEMOONS PVT.)

@Syedh1998

Hi, I can build a **Python-based TradingView webhook system with a real-time trading dashboard** that routes alerts into paper or live trades across your three segments—F&O stocks, index options, and long-term equity positions. The backend will **listen to TradingView webhook JSON**, parse indicator parameters like **Moving Averages and RSI**, and route signals through a modular **order manager** designed so broker connectors can be added or switched later without affecting the strategy layer. Paper trading and live trading will be separated with a clear **mode toggle and safety checks**. For the frontend, I’ll create a **responsive web dashboard** connected through REST/WebSocket so positions update in real time without page refresh. You’ll be able to **monitor live trades, view closed trades with P&L, filter history by segment, and export data** for further analysis. The system will be **modular, documented, and capable of processing alerts within ~1 second**, allowing all three trading segments to run concurrently. I’ll also include a **setup guide and walkthrough** so you can easily extend indicator parameters or strategies later. Syed

@ahmetTC

Hope you are doing well! Lets start! Building a full-flow system for TradingView alerts requires designing a Python backend that reliably receives webhook JSON, interprets the payload per segment, and executes or simulates trades while feeding real-time updates to a responsive web dashboard. Previous projects involved connecting TradingView alerts to Python order managers for equities, options, and long-term holdings, handling multiple segments simultaneously, and reflecting indicator-based parameters like Moving Averages and RSI accurately in position sizing and trade execution. A common challenge was ensuring sub-second processing from alert reception to order placement; this was solved by using async webhook handling, efficient JSON parsing, and a fast communication layer via WebSockets or REST APIs to the dashboard. Another challenge was creating a dashboard that reflects live positions, P&L, and historical trades without manual refresh; this was addressed by building a modular front end with auto-updating components, filters, and export functionality while keeping the code maintainable for future broker integration. I know what do I build for you, can complete it to your full satisfaction within your timeline. I am ready for you and waiting here. Thank you.

@modesorehari6

Hi, I’m Malix Azis ✨ This is exactly the kind of TradingView → Python automation I enjoy building—I’d create a modular Python backend that receives webhook JSON, classifies each alert into F&O stocks, index options (Nifty/Banknifty/Sensex), or long-term equities, then applies MA/RSI-driven position sizing and entry/exit logic with a simple mode toggle for paper vs live trading ⚙️ A lightweight REST + WebSocket layer will stream updates to a responsive web dashboard where you can see live P&L, segment-wise positions, and filter/export closed trades, while broker connectors stay pluggable so we can swap APIs without touching the core strategy engine ⭐ I’ll keep latency under 1s from alert to simulated/live order and ensure all three segments run concurrently with clean, documented code and a clear hand-over on extending indicator parameters. Which broker(s) are you leaning toward right now, and do you already have a preferred hosting environment (VPS, cloud provider) for the Python backend and dashboard? Excited to get your full-flow system live!

@bhartimalu

Hello, I am excited about the opportunity to build your TradingView Algo Dashboard. - I have extensive experience with TradingView integrations and webhook systems. - My plan includes: 1. Understanding your specific alert requirements. 2. Developing a webhook listener. 3. Translating alerts into orders. 4. Testing and deploying the system. - I will use tools like Node.js, Webhooks, and a database for storage. - The project can be completed in 4-6 weeks with regular updates. Choose me for my commitment to quality and timely communication. What specific alerts do you want to implement? Do you have a preferred tech stack? Regards, Bharti 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.

@Hemantt841

Hello, I see you need a full-flow system that listens to TradingView webhook alerts and translates them into orders for F&O stocks, index options, and long-term stock investments, all displayed on a custom web dashboard. Your requirement for a seamless switch between paper and live trading modes is clear and important for safe strategy iteration. You want the core logic in Python to handle alerts carrying Moving Averages and RSI parameters, ensuring position sizing and entry/exit logic are updated accordingly. The dashboard should be responsive, showing live positions, closed trades with P&L, and allowing filtering and exporting of historical data. Also, the system must support modular broker connectors for flexible live deployment. I built a similar system where Python handled real-time trading signals from TradingView alerts, routing orders to different segments with REST and WebSocket communication to a React-based dashboard. The dashboard displayed live updates, trade history, and toggle modes for paper/live trading, all while maintaining clean, modular code for easy extension. I can deliver this system within 4 weeks, ensuring thorough testing and documentation. Let’s discuss how to tailor the dashboard and backend workflows to your exact needs.

@mariamz24

Hi, We would like to grab this opportunity and will work till you get 100% satisfied with our work. We are an expert team which have many years of experience on PHP, JavaScript, Python, Software Architecture, Financial Analysis, Web Development, Trading, REST API Please come over chat and discuss your requirement in a detailed way. 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 I can deliver any project in Trading. Readymade setups for Python available

@robertw0802

Hi there! I’m Robert, a Senior Full-Stack & AI Engineer with over 10 years of experience architecting and delivering SaaS platforms, automation systems, and intelligent applications, specializing in Python, REST APIs, and web development. I have successfully developed a trading system that integrates with various platforms, translating alerts into actionable orders and maintaining real-time data updates. My technical background aligns perfectly with your requirements for a TradingView Algo Dashboard, especially in ensuring seamless integration with webhook alerts and creating a responsive web dashboard. I can complete this project perfectly and deliver scalable, production-ready results. I am committed to clean architecture, structured documentation, CI/CD automation, and ensuring that the code is modular and easy to extend for future updates. Let’s connect to refine your requirements and begin building a solution that exceeds expectations. What specific features or analytics do you want most on the dashboard?

@Visharaa2024

Hello, I can complete this task quickly and accurately by installing the required app from the Wix App Market, allowing it to run for the requested 10 minutes, and then preparing a clear and concise review report based on the experience. I am familiar with the Wix platform and app installations, so I can ensure the process is completed smoothly without any issues. After testing, I will provide a short but structured report covering the installation process, usability, performance, and any observations that may be useful for evaluation. I am available to start immediately and can deliver the completed review within your timeline.

@rahulb617

hi, i have made trading bots in fyers,shoonya,dhan and nifty F/O i have seen your project details with paper testing i can also add backtesting dm me

@basimm8

Hi ,there! That is my major . No problem. After only 1 hours , you will get a perfect result . Because I am a new freelancer , I will do my best at a fair rate. Please contact me , let's start right now

@mudassirs52

✔ I deliver 100% work — 99.9% is not for me. ✔ Workflow Diagram TradingView Webhook Alerts ⟶ Python Backend ⟶ Segment Router (F&O Stocks / Index Options / Long-Term Stocks) ⟶ Position Manager ⟶ Paper/Live Mode ⟶ REST/Socket API ⟶ Web Dashboard ⟶ Live Updates, Historical Analysis, P&L Key Highlights ✔ TradingView integration — Python backend receives JSON alerts and maps them to specific trade segments (F&O, index options, long-term stocks). ✔ Indicator-aware logic — supports Moving Averages and RSI, dynamically adjusting position sizing and entry/exit rules as TradingView parameters change. ✔ Dual trading modes — toggle seamlessly between paper trading and live trading, ensuring safe strategy iteration. ✔ Segmented order routing — orders dispatched independently per segment, avoiding conflicts between F&O, Nifty/Banknifty options, and long-term stock positions. ✔ Real-time web dashboard — live positions, closed trades with P&L breakdowns, historical filters, and export capabilities. Sub-second updates via WebSocket or REST API. ✔ Modular broker connectors — architecture allows swapping or adding broker integrations without rewriting strategy logic. ✔ Clean, maintainable code — fully documented Python backend, modular structure for strategies, order management, and dashboard interaction. Best Regards, Asad Trading Automation & Python Developer | Web Dashboard Specialist