Lunar Cycle focuses on the moon phase rhythm requested for trading behavior: post-new-moon windows favor buying, full-moon windows favor selling or no-buy caution, and the days between are translated into gradual portfolio nudges.
The model calculates the current lunar phase and maps it into a repeatable timing curve. Immediately after a new moon, buy pressure can rise. As the cycle approaches the full moon, buy pressure fades and sell or no-buy pressure increases.
This creates the requested behavior without hardcoding a single calendar date. The model can run independently, or the Lunar Nudge toggle can adjust an existing model such as ARIMA, MLTFT, TimeGPT, or AlchemyAI.
Calculate the angle between sun and moon to locate the cycle window.
Increase buy eligibility after the new moon while the accumulation curve is strongest.
Reduce buy appetite as the full moon approaches and sell pressure becomes dominant.
Let portfolio risk, target delta, and holding safety decide whether any action is allowed.
Lunar Cycle is deliberately transparent. It starts with phase geometry and turns that into timing weights that can be reviewed, tuned, and backtested.
Lunar Cycle is designed for clear timing experiments: new moon accumulation, full moon caution, and conservative behavior everywhere safety rules disagree.