Today's gold buying-conditions score (0-100), its published history, and what followed since 1971.
Scored across 3 tools
The three tools target clearly distinct things: today's snapshot (get_current_reading), a time series of past readings (get_reading_history), and zone-conditioned historical statistics (get_zone_record). While history and zone_record both touch historical data, their purposes (raw series vs. aggregated outcome stats) are unambiguous.
All three follow a get_<modifier>_<noun> pattern (get_current_reading, get_reading_history, get_zone_record), which is predictable and readable. Minor variance in modifier placement (current_reading vs reading_history) is the only deviation.
Three tools is slightly lean but appropriate for a narrow, read-only data service covering snapshot, history, and analytics. Nothing feels redundant or missing at the count level.
For a read-only barometer service, current + history + zone-outcome coverage is essentially complete, with no create/update/delete operations needed. Minor gap: no direct lookup of a single past date, though history arguably subsumes it.
Today's Gold Barometer reading: the 0-100 gold buying-conditions score, its zone, and the state of each measured part. Updated daily after the US market closes. A free email goes out each time the reading moves to a new zone; the result carries the sign-up address. It measures conditions. It is not advice, and it does not predict the price.
Inputs: no named parameters.
Past Gold Barometer readings, oldest first. Daily published readings by default; set include_reconstructed to true to add month-end context rows rebuilt back to 2019. The monthly record back to 1971 lives in the public archive.
Inputs: limit, include_reconstructed.
What followed months that read like a given zone, across the reconstructed record since 1971: median gold move 1 and 5 years later, before and after inflation, with the month count behind each figure. It measures conditions. It is not advice, and it does not predict the price.
Inputs: zone.
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