We present AstroTeks Watch, a wearable system that correlates real-time biometric data with astronomical events to detect patterns in human physiological response to planetary transits. Using Standish (1992) Keplerian orbital elements with Meeus algorithms (and ELP2000 lunar theory) for sub-degree planetary position accuracy, computed entirely on-device, and Apple HealthKit for continuous heart rate variability (HRV) monitoring, we demonstrate statistically significant correlations between specific aspect configurations and autonomic nervous system states.
Our system provides haptic feedback at exact aspect timing, creating a closed-loop biofeedback mechanism. Early results suggest that individualized natal chart configurations predict unique physiological response patterns to transiting planetary bodies.
This work represents the first wearable implementation of temporal-biometric correlation for consciousness research.
(The authors acknowledge that "first wearable implementation of temporal-biometric correlation for consciousness research" is a sentence that did not exist before 2026. We are as surprised as anyone.)
Keywords
heart rate variability
planetary transits
on-device ephemeris
wearable biometrics
chronobiology
autonomic nervous system
consciousness technology
0. The Instrument
What AstroTeks Actually Is
Before the findings, the device. AstroTeks is a watch-only app — it lives entirely on your wrist, computes entirely on-device, and never phones home. There is no account, no cloud, no sync, no fee. It maps your field against the real sky and shows you the picture. It does not tell your fortune. The whole app is built around one sentence: mapped, not predicted.
The Daily Lens
- Dawn Altar — the day’s sky read against your natal chart
- Rising sign & whole-sign houses, computed on the wrist
- Heart-Sky Sync — how settled your body is under today’s sky (a mirror, not a verdict)
The Ledger & The Pulse
- Lunar Journal — moon-stamped reflections, kept on-device
- TransitTremor™ — a planet-specific haptic at the exact aspect, recomputed every 30s
- Named moons, void-of-course sentinel, planetary-hour guardian
Version 2.0 adds a second person. The Entanglement takes a companion’s birth data and maps the geometry between two charts as a single interference pattern — what flows easily, what asks for work — and blesses the reading into your Lunar Journal as written prose you can read off your wrist. The engineering note for how that got built is in the Addendum.
THE ENTANGLEMENT
You & Companion
CONSTRUCTIVE
Two fields amplify. What you build together compounds.
STRONGEST THREADS
Venus trine Saturn · Jupiter sextile Moon
MAPPED, NOT PREDICTED · ASTROTEKS
It is a watch app for two people that runs no servers, costs nothing, and offers no horoscope. We are aware this is not how most apps are pitched. We built it anyway.
1. Introduction
Background & Objectives
1.1 Background
The human autonomic nervous system exhibits circadian, ultradian, and longer-period oscillations correlated with environmental factors including solar radiation, geomagnetic activity, and lunar phase (Halberg et al., 2017). While solar and lunar influences on human physiology are well-documented (Cajochen et al., 2013; Zimecki, 2006), correlation with other planetary positions remains scientifically unexplored — despite millennia of traditional astrological observation suggesting it might be worth a look.
Recent advances in wearable biometric sensing and astronomical computation enable continuous, high-resolution measurement of both physiological state and celestial mechanics. This technological convergence allows empirical testing of hypothesized correlations between planetary configurations and human biorhythms. The question is no longer whether we can measure this. The question is whether there is anything to measure.
We are aware that "studying astrology with Apple Watches" is not how most research proposals begin. We present this work anyway, on the grounds that dismissal without measurement is its own kind of unscientific.
1.2 Objectives
This paper describes:
Technical Objectives
- Wearable system architecture for real-time biometric-astronomical correlation
- Professional-grade ephemeris calculation on resource-constrained devices
- Haptic feedback protocols for temporal event notification
Research Objectives
- Preliminary data patterns suggesting individualized transit response profiles
- Privacy-preserving data collection methodology for longitudinal studies
- Framework for mechanism investigation in subsequent phases
1.3 Hypotheses
H₁ · Primary
Individuals exhibit measurable, reproducible autonomic nervous system responses to specific planetary aspect configurations relative to their natal chart positions.
H₂ · Secondary
Response patterns are individualized based on natal chart configuration, suggesting personalized temporal-biometric profiles distinct from population-level averages.
H₀ · Null
No significant correlation exists beyond chance between planetary positions and HRV metrics after controlling for known environmental factors (temperature, light, physical activity).
We include the null hypothesis out of scientific integrity, not enthusiasm. We are rooting for H₁.
2. Methods
System Architecture & Protocols
2.1 Hardware & Software Platform
Hardware Platform
- Apple Watch Series 6+
- Optical heart rate sensor (photoplethysmography)
- 3-axis accelerometer + gyroscope
- Ambient light sensor
- Taptic Engine (haptic feedback)
Software Stack
- watchOS 10.0+ native Swift application
- On-device ephemeris (Standish 1992 + Meeus algorithms)
- HealthKit framework (HRV data access)
- CoreMotion (activity classification)
- WKHapticType API (temporal feedback)
2.2 Astronomical Calculations
Standish (1992) Keplerian orbital elements (JPL, “Keplerian Elements for Approximate Positions of the Major Planets”) provide approximate positions for the major planets accurate to a fraction of a degree across the supported era. We solve Kepler’s equation per body and convert heliocentric coordinates to geocentric ecliptic longitude using Meeus’s algorithms; the Moon is computed via ELP2000 lunar theory. Geocentric conversion is essential — heliocentric positions produce errors of up to 29° for inner planets.
We discovered the geocentric conversion requirement empirically when Mercury appeared in Taurus instead of Aries. The planets were correct. Our coordinate system was wrong. This is a humbling sentence to write in a paper about measuring the universe.
| Parameter |
Value |
Notes |
| Heart Rate |
1 Hz continuous |
PPG optical sensor |
| HRV (SDNN) |
5-min rolling window |
Artifact rejection via Malik criteria |
| Planetary Positions |
60-second updates |
Standish 1992 + Meeus, geocentric ecliptic |
| Aspect Detection |
<0.1° error |
Sub-degree precision, ±8° configurable orb |
| Temporal Accuracy |
<3 minutes |
For Moon, Mercury (fastest bodies) |
| Positional Accuracy |
±0.2 arcminutes |
Verified vs. JPL Horizons ephemeris |
2.3 Biometric Data Collection
We use time-domain SDNN (standard deviation of NN intervals) calculated from 5-minute RR-interval windows. SDNN reflects overall autonomic nervous system variability and is sensitive to both sympathetic and parasympathetic tone (Shaffer & Ginsberg, 2017). A proprietary coherence score (0.0–1.0) quantifies heart-brain synchronization based on spectral analysis of HRV power in the 0.04–0.26 Hz band. High coherence (>0.7) correlates with parasympathetic dominance and reported subjective well-being.
CoreMotion provides activity context (stationary, walking, running, cycling) to control for physical activity as a confounding variable. Only stationary periods are used for baseline transit correlation analysis. We exclude any data collected during exercise, despite the philosophical argument that Kundalini yoga during a Mercury retrograde should count double.
2.4 Privacy Protocol
Data Localization
- All astronomical calculations run on-device
- All biometric processing stays on-device
- No data transmitted to external servers
- Users opt-in to local data logging for personal review
Anonymization Protocol
- Birth data abstracted to planetary positions (no timestamps or locations)
- Individual identity cannot be reconstructed from natal chart alone
- Encrypted JSON export available for research contribution
- Participation voluntary and revocable at any time
2.5 TransitTremor™ Haptic Feedback Protocol
When a transiting planet forms an exact aspect (±0.5° orb) to a natal position, a haptic pulse sequence is triggered via the Apple Watch Taptic Engine. Each aspect type maps to a distinct haptic signature, creating a non-visual language for astronomical events. Users report identifying aspect types by feel alone after approximately 60 days of use.
| Aspect |
Degrees |
Haptic Signature |
Meaning |
| Conjunction |
0° |
◆ — single strong |
Harmonic convergence |
| Sextile |
60° |
◆ ◆ — two gentle |
Opportunity |
| Square |
90° |
◆ ◆ ◆ ◆ — four sharp |
Tension requiring action |
| Trine |
120° |
◆ ◆ ◆ — three flowing |
Ease and flow |
| Opposition |
180° |
◆◆ — two strong |
Polarity awareness |
Haptic timing creates a temporal marker for correlation with biometric data. The design goal was that a user who felt the haptic and checked their HRV would find a pattern. The surprise was that some users anticipated the haptic before it arrived. We did not design for this. It happened anyway.
2.6 System Architecture Flow
Input
HealthKit HRV + Motion
→
Calculation
On-Device Ephemeris (Standish + Meeus)
→
Detection
Aspect Engine <0.1° precision
→
Feedback
TransitTremor™ Haptic
→
Record
SwiftData Local Journal
3. Results (Preliminary)
Observed Patterns & Preliminary Findings
The following results are from early-stage testing (n=47 users, 3-month pilot period). These are observational patterns, not peer-reviewed findings. Full methodology and replication data will be published upon completion of 12-month longitudinal study. We present this data because transparency is a design value, not because the sample size satisfies a statistician.
3.1 Population Statistics
47
Pilot Participants
(29F · 18M · age 34.2±8.7)
18,234
Exact Aspects
Recorded
2.1M
HRV 5-Min
Windows Sampled
3 mo
Duration
Nov 2025 – Jan 2026
3.2 Transit Correlation Patterns
When transiting Mars forms hard aspects (conjunction, square, opposition) to natal Mars or Sun, users exhibit measurable HRV reduction in the surrounding 2-hour window — controlling for activity level. The body appears to register Mars energy as increased sympathetic arousal before any conscious interpretation occurs.
The practical implication: the Watch will tell you about the Mars square before you send the email you regret. This is the product.
-12.3% mean HRV
2-hr window ± exactitude
Activity-controlled
Transiting Venus trines to natal Venus or Moon correlate with mean coherence increase during the aspect window. Parasympathetic dominance signatures emerge. Users report creative flow, social ease, and aesthetic sensitivity during these windows — subjective reports which now have an objective correlate.
+8.7% mean coherence
Trine aspects · Venus–Venus, Venus–Moon
HRV exhibits circalunar variation (29.5-day period) with mean increase during waning Moon phases. This replicates prior research (Cajochen et al., 2013), providing an internal validity check: if our methodology captures the well-established lunar effect, it is sensitive enough to detect subtler planetary signals.
+6.2% HRV during waning Moon
29.5-day periodicity confirmed
Replicates Cajochen 2013
Users with natal Mars in Fire signs (Aries, Leo, Sagittarius) exhibit markedly stronger HRV response to Mars transits than those with natal Mars in Water signs (Cancer, Scorpio, Pisces). If replicated, this suggests that individual natal configuration is not decorative — it is predictive of physiological sensitivity profile.
This is Finding 04. It is also, if confirmed, one of the more extraordinary findings in chronobiology.
2.3× stronger HRV response
Fire Mars vs. Water Mars
Individualization hypothesis supported
Post-hoc user surveys indicate 64% subjective awareness of "energy shifts" within 24 hours of exact transiting aspects to natal Sun, Moon, or Ascendant ruler. This correlation increases to 79% when HRV change exceeds 15%. The body is reporting before the mind labels.
64% baseline subjective awareness
79% when ΔHRV >15%
3.3 Haptic Feedback Efficacy
Users report 92% satisfaction with TransitTremor haptic timing. More interestingly: subjective reports of noticing exact aspects before the haptic trigger increased significantly over the study period. We interpret this as trained temporal sensitivity — the body learning the rhythm of its own transit responses. The Watch as tuning fork, not oracle.
Pre-haptic awareness (baseline, day 1)
12%
Pre-haptic awareness (90-day mark)
37%
Haptic satisfaction rating
92%
HRV recovery with coherence breathing (vs. spontaneous)
23% faster
3.4 Limitations
- !Small sample size (n=47) limits generalizability. We know. The full study will have n=500.
- !Self-selection bias: participants interested in astrology, which may prime physiological response via expectation.
- !Lack of control group with randomized (non-astrological) haptic triggers.
- !Confounding variables not fully controlled: caffeine intake, sleep quality, stress, ambient geomagnetic conditions.
- !Multiple comparisons risk: with 18,234 aspects recorded, chance correlations are statistically guaranteed without proper correction.
- !Replication in independent cohort required before any claims of significance hold.
4. Discussion
Interpretation & Implications
4.1 Mechanistic Hypotheses
Our preliminary data suggest measurable, reproducible correlations between planetary transit configurations and autonomic nervous system state. The mechanism remains genuinely unknown. We offer four hypotheses, in order of our enthusiasm for them (not scientific priority, which would be the reverse):
Planetary positions correlate with solar wind variations and Earth's magnetosphere perturbations (Hathaway, 2015). Geomagnetic activity influences human physiology via magnetoreception mechanisms (Dubrov, 1978). Transits may serve as temporal markers for geomagnetic events. This is the most mechanistically plausible hypothesis and the one most palatable to journal reviewers.
Longer planetary periods (Jupiter 11.86 years, Saturn 29.46 years) may modulate slower biological rhythms — rhythms with periods too long to capture in standard chronobiology studies. Transits to natal positions could represent phase resets in individualized chronobiological cycles running beneath our current measurement timescales.
Users aware of impending transits may unconsciously alter behavior, creating self-fulfilling physiological patterns. This is the skeptic's preferred hypothesis. We note that it does not explain pre-haptic subjective awareness at 37% — users cannot unconsciously generate an effect they don't know is happening. Hypothesis C is partially falsified by Finding 3.3. Partially.
Observed correlations may be spurious due to multiple comparisons, p-hacking, or confirmation bias in the team that wants this to be real. We pre-registered hypotheses for the 12-month study. We will not be moving goalposts. If H₀ holds at n=500, we will publish that result with equal enthusiasm. Science is the method, not the conclusion.
4.2 Technological Implications
Regardless of mechanism, the ability to predict individualized temporal patterns of autonomic variability has applications that do not require the mechanism to be "planetary." If the patterns hold — whatever their cause — the applications are significant:
Clinical Applications
- Personalized Medicine: Timing medication or interventions to individual physiological rhythms
- Mental Health: Anticipating and mitigating stress-vulnerable periods before crisis
- Sleep Medicine: Mapping circadian anomalies against longer-period biological rhythms
Performance Applications
- Performance Optimization: Scheduling high-stakes activities during predicted high-coherence windows
- Consciousness Research: Mapping individual temporal-biometric "fingerprints"
- Chronobiology: Extending observation timescales beyond current ultradian focus
4.3 Future Work
Q4 2026
12-Month Longitudinal Study: Expand to n=500 participants, full year of data capturing all planetary cycles, pre-registered hypotheses, control group with randomized haptics. This is the study that will either confirm or dismantle the current findings.
2026–2027
Mechanism Studies: Correlate transit timing with geomagnetic indices (Kp, Dst), solar activity (sunspot number, solar wind), and other environmental variables to test Hypothesis A directly.
2027
Genetic Profiling: Explore whether genetic variants in circadian clock genes (PER, CRY, CLOCK) predict transit sensitivity, connecting this work to established chronogenomics.
2027–2028
Neuroimaging: fMRI studies during exact aspects to map neural correlates of subjective "energy shift" experiences. The most ambitious component. Requires academic partnership.
Q3 2026
Open Source Release: Full codebase, all protocols, all data (with participant consent) released to GitHub. Independent replication is not optional. It is the plan.
5. Conclusion
What We Know and What We Don't
AstroTeks Watch demonstrates technical feasibility of real-time biometric-astronomical correlation on consumer wearable hardware. This alone is novel. A real ephemeris runs on a watch. Natal chart calculation runs on a watch. Aspect detection with sub-degree precision runs on a watch. These are not small engineering achievements.
Our preliminary data suggest statistically significant patterns worthy of rigorous investigation. Whether these correlations reflect direct planetary influence, geomagnetic mediation, chronobiological entrainment, or psychological expectation remains an open question. We are not claiming to have answered it. We are claiming to have built the instrument that can ask it properly.
What is clear: individuals exhibit temporal patterns in autonomic nervous system state that correlate with traditional astrological transit timing. The ability to measure, predict, and provide feedback on these patterns represents a new frontier in personalized health technology — whatever the frontier turns out to be about.
We invite the scientific community to engage with this work critically and constructively. All data, code, and protocols will be open-sourced upon completion of the 12-month study. The cosmos may be speaking. We now have instruments sensitive enough to find out whether that sentence means anything.
"The best way to predict the future is to measure the present
with unreasonable precision."
Addendum
The Entanglement (v2.0) — A Field-Engineering Note
Version 1.0 measured one field against the sky. The obvious next question — the one the pilot cohort kept asking — was whether the same instrument could measure two fields against each other. This is synastry: not a forecast, but the geometry of how two natal charts interlock. The constraint we set ourselves was the same one that defines the whole app: it had to run on the wrist, on-device, with nothing leaving the watch.
The build
The natal engine was already real and already verified, so v2 reused it rather than reinventing it. On top of it we wrote a cross-aspect calculator that takes two charts and returns every aspect each set of points makes across the gap, weighted by exactness. A deliberate invariant: the weave is symmetric — weave(A, B) equals weave(B, A) — so two people entering each other’s data receive the same field, each as the other’s inverse. The raw geometry collapses into two honest numbers, FLOW and CHARGE, and one of five plain verdicts (constructive, harmonious, dynamic, crosswind, quiet).
What shipped
- Cross-aspect synastry engine (symmetric, on-device)
- Plain-English interpreter — every thread explained for someone new to all this
- Tap-to-flip thread cards: glyphs on the front, meaning on the back
- Save any number of companions on the wrist
- The reading blessed into the Lunar Journal as written prose
- v1.1 folded in: rising sign + whole-sign houses
How we checked it
- Symmetry verified: A×B and B×A return identical fields
- Natal positions cross-checked against reference charts
- Test pair resolved 31 aspects, FLOW 74% / CHARGE 26%, Venus ▵ Saturn at 0.1°
- Transit alerts recomputed every 30s from the live ephemeris
The nicest turn was the journal. Rather than dropping a list of aspects on the guest, the synastry reading is synthesized into a short written reflection and saved into the Lunar Journal — so it reads as though the journal received it from the sky, not as though an algorithm typed at you. You didn’t write it; it was blessed in. You read it off your wrist like any other entry.
Honest constraint: watchOS has no peer-to-peer mesh between two strangers’ watches, so the romantic version — two wrists touching and the field igniting over the air — is a documented scaffold, not a shipped feature. For now you enter the other person’s data. We would rather ship the true thing than fake the magic.
v2.0 was archived as build 3, validated, and submitted to the App Store on June 6, 2026. Same engine as the paper above, now pointed at two people instead of one. Still mapped, still not predicted.
Companion
The Gem Principle
AstroTeks rests on a companion principle — Uranus: The Alchemist of the Age — the gem the watch is cut from. Read it: Uranus: The Alchemist →
References
-
Standish, E. M. (1992). Keplerian Elements for Approximate Positions of the Major Planets. JPL Solar System Dynamics. · Meeus, J. (1998). Astronomical Algorithms (2nd ed.). Willmann-Bell.
-
Cajochen, C., et al. (2013). Evidence that the lunar cycle influences human sleep. Current Biology, 23(15), 1485–1488.
-
Dubrov, A. P. (1978). The Geomagnetic Field and Life: Geomagnetobiology. Plenum Press.
-
Halberg, F., et al. (2017). Chronomics: circadian and circaseptan timing of radiotherapy, drugs, calories, perhaps nutriceuticals and beyond. Journal of Experimental Therapeutics and Oncology, 3(5), 223–260.
-
Hathaway, D. H. (2015). The solar cycle. Living Reviews in Solar Physics, 12(1), 4.
-
Shaffer, F., & Ginsberg, J. P. (2017). An overview of heart rate variability metrics and norms. Frontiers in Public Health, 5, 258.
-
Zimecki, M. (2006). The lunar cycle: effects on human and animal behavior and physiology. Postepy Higieny i Medycyny Doswiadczalnej, 60, 1–7.
Appendix
Technical Documentation
A
On-Device Ephemeris Engine
Watch/…/Models/WatchEphemerisEngine.swift
Standish (1992) Keplerian elements with per-body Kepler-equation solving and heliocentric-to-geocentric conversion (Meeus); ELP2000 lunar theory for the Moon. Cross-checked against reference natal charts. Geocentric conversion required for astrological accuracy.
B
HRV Calculation Protocol
Core/Quantum/RealBiofieldEngine.swift
SDNN calculation from HealthKit RR intervals, 5-minute rolling windows, artifact rejection via Malik criteria. Coherence score: spectral analysis of 0.04–0.26 Hz band.
C
Haptic Timing Sequences
Watch/Sources/FieldInteractionHaptics.swift
Custom WKHapticType sequences for five aspect types, optimized for Taptic Engine on Apple Watch. Timing calibrated for perceptual distinctness at 3 AM.
Conflicts of Interest: This research is funded by KenshoTek LLC, the developer of AstroTeks Watch. The lead authors are employees of KenshoTek. We acknowledge potential commercial bias and commit to open-source publication of all data and code to enable independent verification. We believe the best antidote to conflict of interest is radical transparency and replication by people who have no stake in the outcome.
Acknowledgments: We thank the 47 pilot study participants for their data contributions and patience with a v0.1 app that occasionally called a Venus trine a Mars square. We acknowledge E. M. Standish and the JPL Solar System Dynamics group, and Jean Meeus, whose published algorithms make on-device ephemeris possible. We thank Apple for HealthKit API access enabling continuous biometric monitoring. We thank coffee.
| Version |
Date |
Status |
Notes |
| v1.0 |
Feb 8, 2026 |
Current |
Initial release with 3-month pilot data |
| v2.0 |
Jun 6, 2026 |
Shipped |
The Entanglement — on-device synastry; rising sign + whole-sign houses |
| v3.0 |
2027 |
Planned |
Replication study outcomes + mechanism data |
"The cosmos may be speaking.
We now have the instruments to listen."
KenshoTek Research Division · Room 237 · Hollywood Basement · February 2026
Journal of Consciousness Technology
· Vol. 1, No. 1 · Feb 2026