Global market overview
Explore a consolidated view of markets through regional and sector ETF proxies, exposure maps, and heatmaps, with cryptocurrency research kept separate.
ONGOING PROJECT / STOCK MARKET ANALYSIS
In developmentExplore markets. Test ideas. Understand risk.
A research workspace being developed to bring market context, asset analysis, and portfolio risk into one place. The goal is to help people examine the evidence behind an idea, test their assumptions, and keep a clear record of what they learn.
The current working prototype demonstrates these workflows with synthetic data. It is a private research foundation, with live-data qualification and broader research capabilities still in development. Public app access is not available yet.
Highlights being developed and tested in the synthetic-data prototype.
Explore a consolidated view of markets through regional and sector ETF proxies, exposure maps, and heatmaps, with cryptocurrency research kept separate.
Investigate an asset across four time horizons, compare supporting and conflicting evidence, and see what would invalidate a research idea.
Adjust ranking weights and inspect the component scores behind each research candidate, making comparisons easier to understand.
Explore position sizing, concentration, correlations, and hypothetical stress scenarios before committing to an idea.
Compare research methods with benchmarks using walk-forward demonstrations, transaction costs, sensitivity checks, and calibration tools.
Record simulated positions, close entries, review risk limits, and retain both winning and losing outcomes in a private research journal.
Planned work includes qualified live market data, expanded news and fundamental research, source-grounded AI explanations, and external alerts. These capabilities will require further integration, data quality checks, and independent validation before release.
The project focuses on research and simulated trading. It does not execute real-money trades or provide validated investment signals; demonstration results are not evidence of future returns.
Let’s turn a complex workflow into a focused application.
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