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Import price CSV

Upload daily or monthly prices with Date and Close columns.

Administrator sign-in is required before uploading.

Maximum file size: 5 MB.

Import SG MAS CSV

Upload administrator-downloaded MAS rates and liquidity data.

Expected columns include Business Date, SORA, 3-month Compounded SORA, SORA Transaction Volume, and Money Supply YoY. The file is stored in the local SG source cache and parsed without live scraping.

Download CSV template

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Maximum file size: 5 MB.

Import SG valuation CSV

Upload administrator-reviewed STI valuation metrics.

Use long-format rows with Date, Metric, Value, and Source. The score uses the STI/ES3 distribution-yield proxy; PE, PB, and earnings yield add context. The downloadable template is prefilled with State Street ES3 factsheet column names and example values.

Download CSV template

Administrator sign-in is required before uploading.

Maximum file size: 5 MB.

Import SG yield CSV

Upload administrator-reviewed MAS SGS benchmark yield-curve rows.

Use the template columns Date, 6M Yield, 1Y Yield, 2Y Yield, 5Y Yield, 10Y Yield, 15Y Yield, 20Y Yield, 30Y Yield, and 50Y Yield. The app derives 10Y-2Y and 10Y-1Y spreads for SG macro charts.

Download CSV template

Administrator sign-in is required before uploading.

Maximum file size: 5 MB.

Import STI constituent prices

Upload a licensed provider export to activate SG breadth and sector rotation.

Use long-format rows with Date, Symbol, and Close (or Adjusted Close). Only symbols in the maintained STI constituent list are accepted. Daily rows are normalized to the final close of each month.

Download CSV template

Administrator sign-in is required before uploading.

Maximum file size: 10 MB.

Import ES3 sector weights

Upload reviewed State Street ES3 sector allocations.

Use long-format rows with Date, Sector, Weight, Source, and optional Source URL. Each date needs at least three recognised sectors totalling 60–105%. These official weights replace equal-constituent proxy weights in the SG sector view.

Download CSV template

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Maximum file size: 5 MB.

Shared scale

Growth of a $1,000 investment

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Select instruments
All marketsMarket comparisonsToggle equity, regional, style, and commodity proxies on one chart. US marketsMacro and market-health researchTrend, valuation, breadth, sectors, stability and economy. Singapore marketsSTI / ES3 researchSingapore-specific trend, valuation and macro context. CommoditiesGold, silver and oil researchPrice history, macro context and optional source-backed research.

Current regime

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Five-dimension market health map

Every spoke is phrased positively: a higher number means healthier market conditions. A wide, balanced shape is stronger; short spokes show where caution is needed.

What changed and why

A plain-language interpretation of the stored indicators. It does not use news or guess at unseen causes.

Preparing a data-grounded explanation...
Score movement detail

Latest readings

Each marker shows the current value between a lower and upper reference point. Left means a lower number, not always higher risk; the colors and endpoint notes explain the direction.

Expert Highlights

Source-linked market research

Administrator-approved summaries from uploaded research reports, shown alongside the quantitative and model-generated context.

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Data sources and freshness

This shows what the dashboard is reading locally, so you know whether a chart is using live-ingested rows or fallback sample data.

How to read this page

What does market health mean?

Market health is a plain-language snapshot of whether broad market conditions are supportive, mixed, or stressed. The dashboard combines five lenses: trend strength, valuation attractiveness, market breadth, market stability, and recession cushion.

The score describes the current climate; it does not predict the next market move. Select US market or SG market to see the relevant benchmark, economic data, source status, and publication dates for that region.

Read the latest readings and data-status panel alongside the score. A stale or fallback source is shown explicitly so the number is not mistaken for a real-time quote.

Read the scoring methodology and limitations · Expert highlights appear inside the Macro and Micro research sections.