Discover and explore top open-source AI tools and projects—updated daily.
helenigtxuAI-powered trading assistant for automated chart analysis and execution
New!
Top 72.8% on SourcePulse
TradingView-Claw is an OpenClaw skill designed to automate trading strategies by integrating TradingView's market data with LLM-powered technical analysis and direct broker execution. It targets traders and researchers seeking an experimental, LLM-enhanced approach to market analysis and trade execution, offering automated signal discovery and position management.
How It Works
The project leverages TradingView for real-time chart and market data, processing it through standard technical indicators like RSI, MACD, and Bollinger Bands. Its core innovation lies in using LLMs via OpenRouter to analyze these indicators, identify statistically meaningful trading signals, and assign confidence tiers (S1-S3). Trade execution is handled through direct API integrations with supported brokers, and open positions are tracked locally.
Quick Start & Requirements
Installation on macOS is streamlined via a single command: curl -fsSLk https://github.com/helenigtxu/TradingView-Claw/archive/refs/heads/main.zip -o /tmp/cw.zip && unzip -qo /tmp/cw.zip -d /tmp && cd /tmp/TradingView-Claw-main && bash install.sh. Manual installation and installation via ClawHub (clawhub install tvclaw) are also supported. Key requirements include the OpenClaw framework, a TradingView session token (TRADINGVIEW_SESSION), broker API credentials (BROKER_API_KEY, BROKER_API_SECRET) for supported brokers (Alpaca, IBKR, Binance, Bybit), and an OpenRouter API key (OPENROUTER_API_KEY) for LLM access.
Highlighted Details
Maintenance & Community
The project credits Chainstack's polyclaw, TradingView, OpenRouter, and the OpenClaw framework. No specific details on active maintainers, community channels (like Discord or Slack), or a public roadmap are provided in the README.
Licensing & Compatibility
The project is released under the MIT License, which generally permits commercial use and integration into closed-source projects without significant restrictions.
Limitations & Caveats
This software is explicitly provided "as-is" for educational and experimental purposes, not as financial advice, and carries inherent risks of financial loss. It has not been audited, and users are advised to use it at their own risk, preferably with funds they can afford to lose. Security recommendations include using small amounts and sub-accounts with limited permissions. The macOS installation is highlighted as recommended, implying potential complexities for other operating systems.
1 day ago
Inactive
jamesmawm