You will get Trading View to Interactive Broker bridge app using webhook
Top Rated

Top Rated

Project details
Update
• March 2024 - Add in simple UI
• Aug 2024 - Improve UI, add testing feature by using simulated alert.
You will get a bridge program that acts as an intermediary between TradingView and Interactive Brokers.
• TradingView have to generate entry signals, forwarding these alerts with parameters.
• The bridge program will gather all necessary parameter from the TradingView alert and perform action, parameters are ticker, action, volume, price.
• Bridge program will place order with Interactive Brokers according to the parameters.
• Can run in Mac, Windows, Linux
• Support different asset, fx, stock, future, options.
• Require public SERVER to operate, read faq to understand about it
• March 2024 - Add in simple UI
• Aug 2024 - Improve UI, add testing feature by using simulated alert.
You will get a bridge program that acts as an intermediary between TradingView and Interactive Brokers.
• TradingView have to generate entry signals, forwarding these alerts with parameters.
• The bridge program will gather all necessary parameter from the TradingView alert and perform action, parameters are ticker, action, volume, price.
• Bridge program will place order with Interactive Brokers according to the parameters.
• Can run in Mac, Windows, Linux
• Support different asset, fx, stock, future, options.
• Require public SERVER to operate, read faq to understand about it
What's included $249
These options are included with the project scope.
$249
- Delivery Time 2 days
- Number of Revisions 1
Optional add-ons
You can add these on the next page.
One time Installation fee
+$49
Customisation
(+ 5 Days)
+$499
1 month Window Testing Server
(+ 5 Days)
+$50Frequently asked questions
11 reviews
(8)
(3)
(0)
(0)
(0)
AP
Albert P.
Jun 30, 2024
Installation of a bridge connecting Tradingview to Interactive Brokers. The purpose was so that strategies in Tradingview could be used to automatically trigger live trades with a broker. Contractor communicates well and exhibits a strong work ethic.
JK
Josh K.
Apr 9, 2026
Customized Trading Automation System
Han Shyong helped me implement a rules‑based trading algorithm and later assisted with an initial machine‑learning extension. He was consistently communicative and willing to iterate as the project evolved, especially as the strategy requirements became more detailed over time. The core filters and indicator logic were implemented as requested, and he provided a workable foundation for further development. Some parts of the system required additional refinement on my end, but Han remained cooperative throughout the process. Overall, he contributed meaningfully to the early stages of a complex trading automation project.
LB
Luigi B.
Oct 2, 2025
30 minute consultation
DP
David P.
Mar 20, 2025
Automated Trading Bot Development: Discord to Interactive Brokers Integration
Extremely competent and communicative. Many Thanks! I higly recommend
PP
Phonuture P.
Mar 3, 2025
Mandarin English Speaking Full Stack Developer
Really enjoyed working with Hans. I would work with him again.
SB
Stefano B.
Sep 21, 2024
IBKR Consultation
About Han Shyong
Full Stack | OpenClaw | Interactive Brokers | Trading View | Crypto
100%
Job Success
Selangor, Malaysia - 4:51 am local time
1. TradingView Bridge to IBKR - Webhook automation to IBKR order placement with simple setup and robust reliability.
2. OpenClaw X Interactive Brokers - OpenClaw place order to Interactive Brokers through Xerolite
We are a team of seasoned professionals delivering intelligent, web-based trading automation systems. With over 20 years of experience in IT and deep expertise in Interactive Brokers (IBKR), algorithmic trading, cloud environments, and AI integration, we build tailored, high-performance solutions that give our clients a competitive edge in the markets.
** Core Skill Set **
- Programming: Java, Python, React, Spring Boot
- AI & LLM Integration: LangChain, OpenAI, RAG (Retrieval-Augmented Generation)
- Custom agent workflows and chatbot integrations
- Financial document Q&A and signal-triggered automation
- Broker Integration: IBKR TWS API, IB Gateway, Crypto Exchanges (Binance, Bybit, etc.)
- Cloud & DevOps: Google Cloud, AWS, Huawei Cloud, Docker, Kubernetes, CI/CD
- System Architecture: Real-time trading engines, REST/WebSocket APIs, scalable backend services
** AI & LLM-Powered Use Cases **
- LLM-Driven Strategy Interface: Natural language interaction to retrieve or trigger trading logic
- Custom Chatbots: Embedded assistants for trading platforms using LangChain + RAG
- Financial Document Automation: Use AI to summarize filings, detect events, or trigger trade actions
- Knowledge Bases: Build RAG pipelines for real-time financial knowledge retrieval
- Auto Decision Systems: Integrate AI agents to assist or automate signal generation and execution
** Supported Asset Classes **
Forex | Stocks | Futures | Options | Cryptocurrency
** Trading Algorithm Types **
- Technical Analysis: Multi-indicator strategies
- Arbitrage: Multi-broker & cross-asset execution
- AI & NLP: LLM-enhanced workflows, RAG for decision support
- External Signal Integration: TradingView, Telegram, Email, API, Custom forums
** Solutions **
1. Trade Management System (IBKR/Exchanges)
Unified interface for execution, analytics, backtesting, and automation.
2. Master-Slave Trade Copier
Multi-user real-time trade sync with controls on quantity/IP/risk limits.
3. LLM Chatbot + Trading System
AI assistant for strategy explanation, signal insights, or user-guided automation using LangChain + OpenAI.
4. Backtesting & Strategy Validation App
Evaluate strategies across assets with flexible parameter tuning and visualization.
** Notable Project Experience **
- Web-based trading bot systems with automation and live sync
- AI-enhanced trade analytics platform
- Data pipeline integrations with financial APIs and data sources
- LangChain-powered assistants embedded in trading dashboards
- Real-time dashboards, order tracking, and transaction audit logs
- Financial document processors with RAG for summaries and decisions
** Why Work With Me? **
- LLM + LangChain + RAG Expertise for Fintech
- Full-Stack Developer with Deep Trading Domain Knowledge
- Cloud-Native Deployment with DevOps Best Practices
- Seamless Broker & Market Data Integration
- Top-Rated on Upwork with Proven Results
- Transparent Communication & Scalable Solutions
** Let’s Connect **
If you're looking for a partner who bridges fintech and AI, we’re here to build scalable, intelligent systems that turn your trading vision into reality.
Steps for completing your project
After purchasing the project, send requirements so Han Shyong can start the project.
Delivery time starts when Han Shyong receives requirements from you.
Han Shyong works on your project following the steps below.
Revisions may occur after the delivery date.
Server setup
Once the server environment is ready, we will setup in the server.
Traving view setup
Client have to setup the alert at Trading view

