AeroTerminal
Executive Summary
AeroTerminal is a native desktop trading workspace that brings together market analysis, AI-assisted research, trade journaling, and decision tracking into a unified environment.
The project was created to address workflow fragmentation experienced by active traders who frequently switch between charting tools, AI assistants, note-taking applications, broker terminals, and journals.
Rather than focusing solely on trade execution, AeroTerminal explores whether a unified workspace can help traders maintain context throughout the decision-making process.
Problem
Modern trading workflows are fragmented.
A typical trader may use:
- TradingView for analysis
- ChatGPT for research
- Notes applications for idea capture
- Broker platforms for execution
- Journals for post-trade review
This fragmentation leads to:
- Frequent context switching
- Scattered research
- Loss of decision history
- Difficult post-trade review
The reasoning behind a trade often becomes disconnected from the trade itself.
Solution
AeroTerminal provides a single environment that combines:
- Market analysis
- AI-assisted research
- Research whiteboarding
- Quantitative experimentation
- Trade journaling
- Historical review
The platform is organized around the following workflow:
Observe Market → Analyze → Research → Ask Saathi → Create Thesis → Execute → Journal → Review
Current Implementation
Interactive Charting
- Live market data feeds
- Multiple timeframes
- Technical indicators (SMA, EMA, RSI)
- Zooming and panning
Saathi AI Assistant
- Integrated AI interaction
- Research assistance
- Notebook generation
Research Canvas
- Visual whiteboard
- Persistent storage
- Workspace organization
Quant Workspace
- Embedded JupyterLab
- Python experimentation
Market Intelligence
- Screener
- Order book
- Trade flow visualization
Journaling
- Trade logging
- Notes management
- Calendar-based review
Technical Architecture
Technology Stack
- C++20
- CMake
- Dear ImGui
- GLFW
- OpenGL
- IXWebSocket
- WebView2
Current Status
The project currently exists as a functional proof of concept demonstrating:
- Real-time market data ingestion
- Interactive charting
- AI-assisted workflows
- Research workspace integration
- Journaling infrastructure
Future Roadmap
Short Term
- Structured trade thesis management
- Enhanced AI workflows
- Improved persistence layer
- User testing
Long Term
- Broker integrations
- Historical decision intelligence
- Multi-asset support
- Advanced workflow automation
Team Vision
We believe traders have access to more tools than ever before, yet the decision-making process remains fragmented.
AeroTerminal explores whether a unified workspace can reduce that fragmentation and create a more structured approach to market analysis, research, and review.
Log in or sign up for Devpost to join the conversation.