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AI and machine learning tools for investment research.

Mathematical problem entry with a structured symbol palette

An Eclipse-based C/C++ IDE for building, running, debugging, and profiling software on QNX systems.

Search Kubernetes network traffic by workload, API, and network context, then save packet captures for later review.

AI text analysis tool that turns text into knowledge graphs to reveal patterns and content gaps

Create word clouds from text or two-column CSV

Calculate returns, portfolio statistics and allocation weights in Python

Analyze network traffic, flows, hosts, and protocol behavior through a web-based monitoring console.

Track crypto portfolios across exchange accounts and public wallet addresses

Keep reading notes, quotations, analysis, and source details beside the writing they inform.

Automates Kubernetes canary and blue-green rollouts using traffic analysis and validation checks.

Follow multichain wallet activity, with optional portfolio analysis

Edit Python in a scientific IDE with an interactive console, variable inspection, plots, and debugging tools.

Arrange market-analysis panels into reusable trading workspaces

Scans source code for security issues and gives teams a place to review findings.

A graphical environment for building measurement, instrument-control, and test applications with the G language.

Explore crypto derivatives and purchase selected historical datasets

Scans infrastructure-as-code and related artifacts for cloud misconfigurations and security policy failures.

Checks code quality and security with JetBrains static analysis in IDEs and CI pipelines.

Turn portfolio returns into charts and risk-analysis summaries

Extract text and other visual signals from images through a managed image-analysis API.

A Python and R IDE that pairs script and notebook editing with live data exploration tools.

A research repository linking findings to original study material

Analyze customer conversations with project limits and controlled data exports.