What Was the Moon Phase Last Night
The moon phase last night can be checked using real time tools from NASA and the US Naval Observatory, which publish daily illumination percentages, moonrise and moonset times, and current phase names such as waxing crescent, full moon, or waning gibbous. For investors and traders tracking sentiment, these sources provide exact data on the percentage of the moon illuminated and its position in the lunar cycle, which can be used to compare current conditions with historical patterns. You can see the latest official moon data and charts from NASA and the US Naval Observatory here: NASA Moon Phase and US Naval Observatory Moon Phases.
Public databases and astronomy apps now deliver minute level updates on the moon age in days, distance from Earth in kilometers, and angular diameter, allowing users to determine whether the moon last night was near perigee or apogee. These figures matter because a supermoon or micromoon can affect tidal forces and, by extension, sectors tied to shipping, coastal real estate, and marine logistics. The same data feeds are used by analysts who study lunar cycles alongside market calendars to identify potential correlations between moon phases and asset behavior.
How the Moon Phase Last Night Affects Financial Markets
Some quantitative studies and financial research platforms have examined whether lunar phases correlate with volatility, volume, or returns in equities, commodities, and currencies, using historical price data and statistical models to test for significance. While results vary across asset classes and time periods, these analyses often reference moon illumination levels, new moon and full moon dates, and the timing of moonrise relative to market open and close to control for confounding factors. For a detailed look at how market analysts incorporate lunar data alongside other calendar effects, see this overview from Forbes: Forbes on Lunar Cycle and Markets.
Institutional desks and algorithmic trading teams sometimes include lunar phase indicators in their alternative data sets, treating the moon as one of many cyclical variables alongside economic releases, earnings seasons, and options expiration cycles. These teams rely on precise timestamps, standardized phase labels, and reproducible data pipelines to avoid spurious patterns, and they often cross reference moon data with volatility indices and sector rotation signals to assess whether any observed effect is statistically robust or simply noise.
Where to Find Reliable Moon Data for Trading and Research
Trusted sources for moon phase and visibility data include government agencies such as NASA and the US Naval Observatory, as well as open APIs and astronomy libraries that provide machine readable feeds for illumination percentage, moon age, and distance. These datasets can be integrated into financial models and dashboards, enabling researchers to backtest lunar hypotheses across multiple decades of price history while controlling for calendar effects and market microstructure.
For users who need programmatic access, platforms that aggregate space data often offer endpoints that return JSON or CSV files with the current moon phase, next full moon date, and upcoming supermoon events, which can be piped directly into trading systems or research notebooks. When using these tools, it is important to verify the source, check the timestamp of the last update, and compare multiple providers to ensure consistency in phase naming conventions and illumination calculations.