Horary Astrology - The Moon as Oracle
1. Study Overview
Horary Astrology is the branch of astrology that answers specific questions (e.g., "Will I get the job?", "Where is my lost ring?") using a chart cast for the exact moment the question is understood by the astrologer.
Unlike Natal astrology (character analysis), Horary is binary and outcome-oriented: The answer is usually certain (Yes/No/Found/Lost). This makes it hypothetically the most scientifically testable branch of astrology.
2. The Research Problem
Automating Horary research is difficult because the "Significators" (the planets representing the actors) change based on the question:
- "Will I marry him?" -> Check Aspect between Lord 1 (Querent) and Lord 7 (Quesited).
- "Will I get the money?" -> Check Aspect between Lord 1 (Querent) and Lord 2 (Wealth).
Without manual tagging of every chart, a script cannot easily know which planets to test.
3. The "Rethought" Methodology
To bypass the complexity of dynamic significators, this project focuses on Universal Considerations: specifically, the condition of the Moon.
In Horary, the Moon is the "Co-Significator" of the question and responsible for the unfolding of events. Traditional theory states that a safe, positive outcome requires the Moon to be unimpeded.
The "Moon Condition" Hypothesis
We hypothesize that Positive Outcomes correlate significantly with a "Strong Moon" condition, regardless of the specific question type.
Factors Evaluated:
- Void of Course: The Moon makes no further Ptolemaic aspects before changing sign. (Traditionally implies "Nothing nothing will come of the matter").
- Via Combusta: Moon between 15° Libra and 15° Scorpio. (Implies fear/instability).
- Phase: Waxing (Growth) vs. Waning (Decay).
- Speed: Fast/Slow motion.
4. Dataset & Current Status
Current State: Pilot / Proof-of-Concept.
- Source: Analysis currently relies on a small set of historical charts (e.g., William Lilly's Christian Astrology, 1647) where the outcome is historically verified.
- Data Validation: We manually input the date, time, location, and known outcome.
5. Statistical Goals
By collecting a dataset of 100+ verified outcomes, we aim to test the following:
- Null Hypothesis: The frequency of "Void of Course" Moons in "Success" charts is the same as in "Failure" charts (and random chance).
- Alternative Hypothesis: "Success" charts have a significantly lower rate of Void/Combusta Moons.
6. Project Structure
-
analysis.py: Logic to calculate Moon Constraints (Phase, Void status, Via Combusta) for any given timestamp. -
horary_data.csv: Database of Question Time + Outcome (True/False). -
results_summary.md: Running tally of the correlation between Moon Strength and Outcome.
7. How to Contribute
To scale this study, we need Verified Horary Data. Adding a case requires:
- Question: "Will X happen?"
- Time/Date/Place: When the question was asked.
- Outcome: What actually happened (Success/Failure).
Data Provenance
Horary Simulation
- Source: Synthetic Question Data.
- Method: Random generation of 'question' times and outcomes.