Automated Algo Trading System = Stocks

@r4rony

Hi, I can build a fully automated, production-ready trading system that connects your TradingView signals to IBKR via QuantConnect—running 24/7 with real-time execution, monitoring, and control. With strong experience in algorithmic trading systems and API integrations, I’ve worked on pipelines that bridge signal sources (like TradingView webhooks) with execution engines and broker APIs. The key here is reliability, latency control, and safe execution—especially when scaling across ~100 stocks with continuous position flipping. My approach: Webhook Layer (VPS + FastAPI): Receives TradingView signals, validates payloads, and routes them to the execution engine Execution Layer (QuantConnect): Handles order placement, position flipping (always-in-market logic), and portfolio management Broker Integration (IBKR): Ensures stable order execution with proper error handling and retries Data Layer: Tracks positions, logs, and system state for monitoring I focus on building stable, fault-tolerant systems—so your strategy runs continuously without manual intervention. We can communicate more on this matter. Kindly accept the offer so we can discuss further. Thank you Jennifer

@LiveExperts

Hello, As an experienced software developer and engineer, I specialize in Python-based system development - making this project a natural fit for my skill set. Given that you already have a TradingView indicator and an IBKR account in place, I can seamlessly integrate the components to create your automated algo trading system. In addition, I am well-versed with QuantConnect and can effectively utilize the platform for trade execution as per your requirements. Moreover, I come backed with strong financial acumen that aligns positively with this project. Having outshined in financial analysis and holding profound knowledge in JavaScript, PHP, Python, and Software Architecture; I am equipped to design a fully-functional system which incorporates multi-timeframe support that ranges from 5 minutes to Daily interval. I can make sure that your positions are managed capably with fixed dollar position sizing per stock economics, whilst your trades are filtered effectively before corporate earnings events. Importantly, my commitment to delivering high-quality work is unwavering; that means you can expect a fully deployed live-ready trading system accompanied by an easy-to-use dashboard allowing efficient management of the 100 stocks, real-time tracking of positions, trade logs as well as P&L updates. My expertise coupled with my zeal for continuous growth makes me an ideal fit to help turn your vision for an ultra-efficient trading system i Thanks!

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in PHP, JavaScript, Python, Software Architecture, VPS, Software Development, Financial Analysis, API Integration, FastAPI, Streamlit and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@webperfection123

Hi, I can build a fully automated trading system that connects your TradingView indicator with IBKR, ensuring seamless execution without any manual input. My approach involves using Python with FastAPI, integrating with QuantConnect for trade execution, and implementing a custom dashboard for monitoring your trades. I can help organize your strategy to flip long/short as signals arise while efficiently managing up to 100 stocks with fixed position sizing. I have extensive experience in algo trading systems and dashboard development, so I’m confident in delivering a robust solution while incorporating the earnings filter and multi-timeframe logic you require. Let’s discuss your requirements further to align on the best approach! Best Regards, Priyanka

@MashoodurRehman1

I am a seasoned developer with extensive experience in building automated trading systems, especially integrating TradingView signals through platforms like QuantConnect and executing them via IBKR. My background in Python and frameworks like FastAPI, combined with frontend expertise in React, will ensure a robust and efficient system catered to your needs. My proficiency in setting up VPS bridges and developing trading algorithms aligns with your requirements for a seamless, automated trading flow. I understand the importance of real-time execution and the need for a reliable dashboard to manage, monitor, and override operations. With experience in multi-timeframe trading and handling up to 100 stocks with fixed dollar sizing, I am well-prepared for the complexities of this project. I am interested in discussing the nuances of the earnings filter and how best to incorporate it into the trading logic. Please let me know a convenient time for a detailed conversation, or if there are any additional project specifics you would like to share.

@neerajdhameliya

Hello, Managing 100 stocks with a constant long/short flip requires more than a webhook, it requires a state-sync engine that ensures your IBKR positions never drift from your TradingView logic. I will build a FastAPI bridge that sanitizes signals before QuantConnect executes, preventing race conditions across your multi-timeframe setups. I’ll integrate a financial calendar API to automate your earnings filter, force-closing positions, and blocking entries during high-risk windows. For the dashboard, I recommend Streamlit for real-time P&L tracking and bulk management of your 100 tickers. Do your TradingView alerts send specific position sizes, or should the QuantConnect logic calculate the fixed dollar sizing independently upon signal reception? Best, Niral

@diektech

Hi, This is Elias from Miami. I checked your project description and understand you need a fully automated trading pipeline that takes TradingView webhook signals, routes them through a VPS bridge into QuantConnect, and executes directly on IBKR with no manual intervention. The goal is a live-ready system that can manage up to 100 stocks, stay always in market by flipping long/short on each signal, apply earnings protection, and give you a clean dashboard for monitoring, overrides, and bulk updates. My approach would be to build this in clear layers: webhook intake, execution logic in QuantConnect, IBKR-safe order handling, earnings filter, and a secure dashboard for live visibility, edits, and control. I’d be happy to go through the details and suggest the best technical approach. I have a few questions to get a better understanding: Q1 – Will TradingView send one standardized webhook payload for all symbols/timeframes, or do we need to normalize different alert formats before QuantConnect receives them? Q2 – For the earnings filter, do you already have a preferred data source/provider, or should that be included as part of the system design? Q3 – For manual override, should the dashboard allow full position actions like force close / pause / flip, or only safer controls like pause trading and symbol blocking? Looking forward to hearing from you.

@shaktistanwar

With my 15+ years of experience as a Software Architect and Full-Stack Developer, I am the perfect candidate to turn your vision for an automated algo trading system into reality. I have built various high-performance web and mobile applications, and steering challenging projects from ideation to successful deployment is my strength. Whether it's creating an enterprise-grade software architecture or developing secure APIs for your QuantConnect integration, my expertise across JavaScript, PHP, Python (FastAPI) and more will ensure a polished, scalable, and efficient result. What sets me apart is my business-focused approach. I understand that the ultimate goal of an algorithmic trading system is not just about executing trades automatically but also improving your performance. My strong background in financial software development combined with my ability to design architectures that scale makes me uniquely suited to develop strategies like flip trading and multi-timeframe support that maintain a consistent presence in the market while adapting to different temporalities.

@gunslinger

Hi, I went through your setup and this isn’t just about connecting TradingView to IBKR, it’s really about making sure signals are executed reliably under real conditions. I’ve built a trading platform before named stockwitstop, so I’m used to handling signal flow, execution, and systems that need to run continuously. For your case, I’d route alerts through a FastAPI webhook and process them in a controlled queue so nothing gets missed or duplicated when multiple signals hit, while keeping a single source of truth for positions so flips, earnings filters, and tracking stay consistent. Not a generic bid, I read your requirements carefully and this is something I can build cleanly. Kindly contact me for further discussion.

@AITSoft

Hello, I understand you need a fully automated algo trading system that takes signals from your TradingView indicator and executes trades on IBKR without manual input. My approach would involve setting up a VPS to receive webhook signals and bridge them to QuantConnect, where the algo handles trade execution. I'll ensure the strategy flips long/short on every signal, supports multiple timeframes from 5 minutes to daily, and manages up to 100 stocks with fixed dollar sizing. The earnings filter will block and close trades around earnings to reduce risk. For monitoring, I'll build a dashboard to track live positions, P&L, and logs, with manual override options and bulk editing, all secured by login. I can use Python with FastAPI for backend, and React or Streamlit for the frontend based on your preference. I will also provide a clear setup guide for a smooth handover. Do you want the system to support any specific order types or IBKR features that should be integrated beyond basic market orders? Best regards,

@corpmember29

Hello, I have reviewed your requirement for a fully automated algo trading system (TradingView → QuantConnect → IBKR) and clearly understand the need for a reliable, 24/7 execution pipeline with webhook integration, multi-timeframe logic, and portfolio management. With 10+ years of experience in Python, algorithmic trading systems, and API integrations, I can build a robust solution including VPS bridge, QuantConnect execution engine, and a secure dashboard for managing up to 100 stocks with real-time tracking, P&L, and manual overrides. I will ensure clean architecture, earnings filter implementation, and stable deployment for live trading. I WILL PROVIDE 2 YEAR FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE, WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO PUBLISHING ON STORES. I am ready to start immediately and will deliver a fully functional, live-ready system with proper documentation and handover. I eagerly await your positive response. Thanks.

@Herculesz

Hi I’ve built automated trading pipelines using TradingView webhooks, Python FastAPI bridges, QuantConnect, and Interactive Brokers, and your system aligns closely with that architecture. A common issue in these setups is unreliable signal routing and latency between webhook triggers and execution, which can cause missed flips or duplicate trades. I solve this by implementing a resilient webhook queue with validation, idempotency keys, and state tracking to ensure every signal is executed exactly once. For your system, I’ll design a VPS based FastAPI bridge connected to QuantConnect with robust position management, multi timeframe handling, and earnings aware trade blocking logic. The dashboard will provide real time status, bulk controls, and manual overrides with secure authentication, while maintaining consistent portfolio state across up to 100 stocks. I’ll also optimize IBKR order execution, logging, and recovery handling to keep the system stable for 24/7 operation. Thanks, Hercules

@teodorgeorge

Hello, I can develop a fully automated algo trading system that integrates your TradingView signals with QuantConnect and IBKR, ensuring 24/7 operation without manual intervention. The system will include a VPS bridge, multi-timeframe strategy with flip long/short signals, and a custom dashboard for live monitoring, trade logs, and manual override that supports managing 100 stocks and earnings-based filters. I will implement this with Python (FastAPI), and build the dashboard using React or Streamlit as preferred, providing a secure and user-friendly interface. You'll receive a fully deployed live system and a comprehensive setup guide for easy handover. Thanks, Teo

@taimoorkhan311

Hello, With 4 years of experience in Python, QuantConnect, and IBKR integration, I am well-equipped to handle your project. I have carefully reviewed your requirements for the Automated Algo Trading System, including the VPS bridge, QuantConnect algo, custom dashboard, and key features such as earnings filter and real-time tracking. I am confident in my ability to deliver a fully automated trading system that meets your specifications. I have expertise in FastAPI, React, and Streamlit, which will be instrumental in creating the frontend dashboard for managing and monitoring the system. I am keen to discuss the project further and collaborate on bringing your vision to life. Please feel free to connect with me in the chat to explore this opportunity in more detail. Best regards, Taimoor from Pixels Soft

@jayprakashyadav

As an experienced software developer with strong expertise in Python automation, APIs, and backend systems, I can build a reliable automated trading solution tailored to your needs. I have worked with FastAPI, webhooks, and real-time data systems, ensuring smooth signal execution and zero manual intervention. I can design multi-timeframe logic, integrate with broker APIs like IBKR, and build dashboards to monitor multiple stocks efficiently. My focus is on performance, accuracy, and stability in live trading environments. From development to deployment, I ensure a scalable, well-tested system ready for real-world use. I am ready to start immediately and deliver a robust solution. Thanks & Regards, Jay

@devendrathakur12

i’ve done very similar recently wiring tradingview webhooks to quantconnect and ibkr with a fastapi bridge and live dashboard how are signals formatted in the webhook payload and do they include symbol + timeframe mapping? do you want hedging across timeframes or strict single position per symbol? i suggest adding a message queue (redis) between webhook and execution to handle bursts and avoid missed trades. i also suggest a state sync layer with ibkr to reconcile fills and prevent drift from expected positions. i will build a fastapi webhook service and validate payloads, then implement quantconnect algo with flip logic and earnings filter. next i will add dashboard with live sync, deploy on vps, and run end to end tests before handover. Best, Dev S.

@kishanbwts

You want a fully automated system to bridge signals from your TradingView indicator through QuantConnect to IBKR, running 24/7 with no manual input. I’ve built similar algo systems that connect webhook-based signals to execution platforms while handling real-time position management and risk filters. The key challenge is ensuring smooth, reliable communication between TradingView, VPS webhook, and QuantConnect algo, especially with multi-timeframe support and the earnings filter. I suggest starting with a robust webhook listener on the VPS that tags signals with timeframe and stock info, then triggers QuantConnect orders with correct sizing and filtering logic. For the dashboard, React works well for live updates and manual override features—Streamlit could limit scalability for 100 stocks. Do you need the dashboard hosted on the same VPS or prefer a separate environment? Also, would you like automated alerting if trades are blocked or execution fails? I’ll deliver a fully tested system with live monitoring, bulk management, earnings filter, and thorough setup docs so you can run it immediately once deployed. Ready to start building this complete pipeline for you.

@rbtech1984

Hello There!!! ★★★★ ( Fully automated TradingView → QuantConnect → IBKR algo system ) ★★★★ I understand you need a 24/7 algo trading system that executes signals from your TradingView indicator directly on IBKR, with multi-timeframe support, earnings filter, fixed position sizing, and a dashboard to monitor & manage up to 100 stocks. ⚜ VPS bridge: webhook → QuantConnect ⚜ QuantConnect algo for automated execution ⚜ Multi-timeframe logic (5min → Daily) ⚜ Earnings filter & auto-close before events ⚜ Dashboard with live P&L, positions, trade logs ⚜ Manual override & bulk edits ⚜ Secure login + setup guide I have strong experience in Python, FastAPI, QuantConnect, IBKR API integration, and building financial dashboards. I’ll deliver a fully deployed system with multi-timeframe logic, earnings filter, and a user-friendly dashboard, ready for live trading. Looking forward to discussing your strategy and starting ASAP. Warm Regards, Farhin B.

@nextolive

Hi, I can build and deploy your fully automated TradingView → QuantConnect → IBKR trading system end-to-end. I have solid experience with Python (FastAPI), webhook integrations, algorithmic trading logic, and broker APIs. I’ll set up the VPS bridge, implement the QuantConnect algo (multi-timeframe, always-in-market logic, position sizing), integrate IBKR for execution, and build a secure dashboard for managing stocks, capital, and real-time monitoring. I’ll also implement the earnings filter, trade logs, and manual override controls. Ready to start immediately and deliver a production-ready, stable system with full documentation and handover. Let’s discuss and get this live ?