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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.

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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

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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.

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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

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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.

Long-term pricing

Valuation Attractiveness

How attractively the market is priced relative to its own history. Useful for expected returns, not short-term timing.

Market pricing level

This asks whether investors are paying a high or low price for the market's earnings. Expensive markets can still rise, but future long-term returns may have less room for error.

Pricing compared with history

This shows whether today's pricing is normal or stretched compared with the past. A high raw percentile means expectations are already high, so Valuation Attractiveness will be lower.

Calculated valuation methods

The dashboard shows the latest calculated valuation readings behind the score, so you can compare the methods rather than relying on one headline number.

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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