Interactive charting tools that allow users to plot multiple securities, apply technical indicators, and compare performance across different timeframes. Users can customize charts with annotations, trend lines, and various chart types including candlestick, line, and bar charts.
Powerful screening tool that filters thousands of securities based on hundreds of criteria including valuation metrics, growth rates, profitability measures, technical indicators, and ESG factors. Users can create, save, and share custom screens.
Extensive collection of macroeconomic data including government statistics, central bank data, and proprietary economic indicators that can be charted, analyzed, and correlated with security performance.
Built-in tools for creating professional investment reports, presentations, and client communications with drag-and-drop functionality, customizable templates, and brand consistency features.
REST API that allows institutional clients to access YCharts data programmatically and integrate it into their own systems, portfolio management software, or client reporting platforms.
Specialized tools for analyzing mutual funds and ETFs including holdings analysis, performance attribution, fee comparison, and portfolio overlap detection across different funds.
Financial advisors use YCharts to research investment opportunities, compare securities, and prepare client presentations. They leverage the screening tools to identify suitable investments based on client risk profiles and investment objectives. The platform helps advisors justify investment recommendations with data-driven analysis and maintain compliance through proper documentation of research processes.
Portfolio managers utilize YCharts to monitor existing holdings, identify concentration risks, and rebalance portfolios. They set up custom alerts for price movements or fundamental changes in held securities. The economic indicators help managers understand macroeconomic trends that might impact portfolio performance, enabling proactive rather than reactive management.
Wealth management firms use YCharts' report builder to create regular client statements, performance reviews, and market commentary. The white-label capabilities allow firms to maintain brand consistency while providing professional, data-rich reports. Live data links ensure clients always see current information without manual updates from staff.
Hedge funds, pension funds, and other institutional investors use YCharts for deep fundamental research and idea generation. The platform's normalized financial data allows for accurate peer comparisons, while the screening tools help identify mispriced securities. API access enables integration with proprietary models and trading systems.
Educational institutions and training programs use YCharts to teach investment concepts with real-world data. Students can access the same tools professionals use, analyzing historical market events and testing investment hypotheses. The visual nature of the platform makes complex financial concepts more accessible to learners.
Public companies use YCharts to monitor their stock performance relative to peers and benchmarks. Investor relations teams create materials for earnings calls and investor days using the presentation tools. The platform helps companies understand how they're perceived by the investment community and identify potential investor concerns.
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15Five operates in the people analytics and employee experience space, where platforms aggregate HR and feedback data to give organizations insight into their workforce. These tools typically support engagement surveys, performance or goal tracking, and dashboards that help leaders interpret trends. They are intended to augment HR and management decisions, not to replace professional judgment or context. For specific information about 15Five's metrics, integrations, and privacy safeguards, you should refer to the vendor resources published at https://www.15five.com.
20-20 Technologies is a comprehensive interior design and space planning software platform primarily serving kitchen and bath designers, furniture retailers, and interior design professionals. The company provides specialized tools for creating detailed 3D visualizations, generating accurate quotes, managing projects, and streamlining the entire design-to-sales workflow. Their software enables designers to create photorealistic renderings, produce precise floor plans, and automatically generate material lists and pricing. The platform integrates with manufacturer catalogs, allowing users to access up-to-date product information and specifications. 20-20 Technologies focuses on bridging the gap between design creativity and practical business needs, helping professionals present compelling visual proposals while maintaining accurate costing and project management. The software is particularly strong in the kitchen and bath industry, where precision measurements and material specifications are critical. Users range from independent designers to large retail chains and manufacturing companies seeking to improve their design presentation capabilities and sales processes.
3D Generative Adversarial Network (3D-GAN) is a pioneering research project and framework for generating three-dimensional objects using Generative Adversarial Networks. Developed primarily in academia, it represents a significant advancement in unsupervised learning for 3D data synthesis. The tool learns to create volumetric 3D models from 2D image datasets, enabling the generation of novel, realistic 3D shapes such as furniture, vehicles, and basic structures without explicit 3D supervision. It is used by researchers, computer vision scientists, and developers exploring 3D content creation, synthetic data generation for robotics and autonomous systems, and advancements in geometric deep learning. The project demonstrates how adversarial training can be applied to 3D convolutional networks, producing high-quality voxel-based outputs. It serves as a foundational reference implementation for subsequent work in 3D generative AI, often cited in papers exploring 3D shape completion, single-view reconstruction, and neural scene representation. While not a commercial product with a polished UI, it provides code and models for the research community to build upon.
