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.

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