AlgoVue

AlgoVue | No-Code editor for Algo trading

AlgoVue is a ChatGPT-powered no-code editor designed for algorithmic trading. It lets you write fairly complex trading algorithms with nested conditional logic and technical indicators, using a no-code drag-and-drop interface and ChatGPT-3.5 for idea transcription and suggestions. The tool supports backtesting against chosen benchmarks, visualization of allocations and performance, and exporting the finished strategies for use in Backtrader.py, Python, or TradingView Pine Script. The core premise is that your strategies stay locally on your computer, with data sources like Alpaca.markets, and a fast, desktop-first experience built with Flutter.

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Key Capabilities

• ChatGPT-3.5-turbo integration to transcribe algorithm ideas and suggest trading ideas.
• Backtesting and visualization against selected benchmarks using Backtrader.py.
• No-cloud, local-first: strategies stay on your computer; no data uploaded to cloud servers.
• No-code visual editor for complex, nested If/Then control flow logic using technical indicators.
• Generate/export code in Backtrader.py Python or TradingView Pine Script.
• Data sources: Alpaca.markets as a datasource; supports thousands of securities, ETFs, or crypto.
• Portfolio concepts: allocation by percentage, even allocation, or inverse volatility strategies.
• Features for portfolio-level strategies: rebalancing, pairs trading, buying the dip, and more.
• Cross-platform desktop experience built with Flutter for a polished UI.
• Quick experimentation: browse pre-built strategies or start from scratch.

How to Use AlgoVue

1. Create or import a strategy idea. Use ChatGPT to transcribe your concept or write the initial logic.
2. Define logic with the no-code editor. Drag-and-drop to assemble nested If/Else blocks, incorporating technical indicators.
3. Backtest your strategy. Run simulations against your chosen benchmarks and visualize allocations and performance.
4. Export code. Generate Backtrader.py Python code or TradingView Pine Script for deployment.
5. Run locally. Your strategies and data stay on your computer; there is no cloud upload.

What You Can Build

• Portfolio rebalancing strategies
• Pairs trading strategies
• Buy-the-dip and other tactical entry strategies
• Asset allocation systems (equal, percentage-based, inverse volatility)
• Multi-asset and multi-venue strategies using Alpaca and other data sources

Vision and Safety Considerations

• Local-first philosophy emphasizes privacy and control over your strategies and data.
• Backtesting results depend on data quality and historical window; validate with real-world constraints before live deployment.

Core Technologies and Workflow

• Flutter-based desktop app for a beautiful, responsive UI.
• No-code editor for constructing nested If/Then logic with visual cues.
• ChatGPT-3.5-turbo integration to transcribe ideas and suggest strategies.
• Backtrader.py for backtesting; integration with TradingView Pine Script for script-based deployment.
• Alpaca.markets as the primary data source in the described setup.

Safety and Legal Considerations

• Use for educational and testing purposes; ensure compliance with trading regulations and platform terms of service when deploying live.
• Understand that backtesting is not guarantee of future results; perform due diligence before production trading.

Core Features

• No-code visual editor for complex trading logic with nested If/Then flows
• ChatGPT-3.5-turbo integration to transcribe ideas and propose trading strategies
• Backtesting against benchmarks using Backtrader.py
• Local, no-cloud design: strategies and data stay on your computer
• Exportable to Backtrader.py Python and TradingView Pine Script
• Support for multiple asset classes (stocks, ETFs, crypto) via Alpaca.markets and other data sources
• Portfolio allocation options: even, percentage, and inverse volatility
• Prebuilt strategies and the ability to browse expert-created templates
• Flutter-based desktop experience for smooth usability

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Why AlgoVue

• Accelerates idea-to-backtest workflow without writing code
• Maintains privacy by keeping data locally
• Provides a path from concept to production-ready scripts in popular trading environments