ASTROCLOCK

ASTROGANN Trading Engine

Last updated: 2026‑07‑14

The ASTROGANN Trading Engine combines W.D. GANN price geometry, Square of 9 projection, planetary aspect confluence, multi-ring validation, Gann Fan structure, and lunation timing into one live signal model.

Important: ASTROGANN is not financial advice, not a trading recommendation, and not a guarantee of future market behavior. Trading and investing involve substantial risk. Any use of the tool is for educational purposes only.

High-level overview

Astro‑GANN transforms market price through a Square of 9 angular conversion, producing a GANN degree used for planetary comparison, target projection, and geometric validation. This angular representation is then compared against planetary longitudes and aspect relationships. If price aligns closely enough with a major planetary aspect, the engine creates a signal anchor. From that anchor, the system derives execution levels using True Gann Fan structure while Square of 9 geometry is used to project and validate potential targets across multiple rings.

Live Price → Scale Factor Normalization → Square of 9 Transformation → GANN Degree → Detect Planetary Trigger → Freeze Anchor → Calculate Gann Fan Structure → Generate Initial Entry + Stop → Project Square of 9 Targets → Validate Targets Through Rings → Apply Risk / Reward Filter → Select Highest Priority Valid Ring → Recalculate Dynamic Entry From Live Fan → Render Signal
Price Geometry Planetary Aspects Square of 9 Gann Fan Lunation Timing

1. Square of 9 Price Transformation

The first step is transforming market price through a Square of 9 angular conversion. Rather than comparing raw price directly to planetary positions, Astro‑GANN first maps price into a Square of 9 degree using Square of 9 geometry. This angular representation can then be compared against planetary longitudes and aspect relationships.

Scale factor

Astro‑GANN automatically derives a scale factor from the current market price. The scale factor is calculated dynamically and allows assets with very different price ranges to be processed through the same Square of 9 framework. This normalization step preserves geometric relationships while keeping calculations consistent across cryptocurrencies, equities, indices, and commodities.

scaleFactor = 10 ^ (floor(log10(price)) - 2) normalizedPrice = price / scaleFactor squareOf9Root = √normalizedPrice priceDegree = (squareOf9Root × 180 − 225) mod 360 If priceDegree is negative: priceDegree = priceDegree + 360

Example:

price = 61,330.49

floor(log10(61,330.49)) = 4
scaleFactor = 10^(4 - 2) = 100
normalizedPrice = 61,330.49 / 100 = 613.30
squareOf9Root = √613.30 = 24.77
priceDegree = (24.77 × 180 − 225) mod 360 = 273.6°

The raw price degree is only the first geometric layer. Subsequent calculations may apply Square of 9 transformations, harmonic projections, planetary validation, target generation, and zodiac mapping.

Live Price → Scale Factor Normalization → Square of 9 Transformation → GANN Degree GANN Degree → Planetary Confluence Scan → Square of 9 Target Projection → Ring Validation → Harmonic Projection → Signal Generation

2. Planetary trigger detection

Once price has a GANN degree, the engine compares it with planetary positions. The system checks five major aspects:

A signal is only created when the closest aspect is within the configured trigger orb.

if aspectOrb <= TRIGGER_ORB: create signal candidate

The display may show broader confluences, but the actual trigger is stricter. This separates interesting background geometry from a real signal anchor.

3. Signal Anchor

When a valid planetary trigger occurs, ASTROGANN freezes the signal anchor and its supporting market conditions.

Planetary Trigger → Freeze Anchor Frozen Values → Anchor Price → Original Entry → Scale Factor → Trigger Planet → Trigger Aspect → Trigger Orb → Validation Planet → Validation Aspect → Validation Orb → Validation Target → Signal Creation Time

The frozen anchor becomes the reference point for all subsequent Square of 9 projections, Gann Fan calculations, and trade validation.

4. Execution Matrix

The ASTROGANN engine separates execution from target generation.

Frozen Anchor → Square of 9 Projection → Candidate Targets Frozen Anchor → Gann Fan Structure → Entry → Stop Planetary Ring Validation → Approved Targets Risk / Reward Filter → Trade Acceptance

Each validation horizon defines its own execution structure. Every ring generates an independent Square of 9 target and planetary validation profile.

The current implementation uses the same dynamic Gann Fan execution model for all rings:

Targets, validators, planetary confirmations, and resulting risk/reward profiles differ between rings.

5. Multi-ring validation

The engine does not rely only on the original trigger. It also validates projected targets across three rings:

The highest-priority validated horizon becomes the system bias. The hierarchy follows Macro → Mid-Term → Short-Term.

Short = BUY
Mid   = WAIT
Macro = BUY

System Bias:
Macro BUY
Priority Order Macro ↓ Mid-Term ↓ Short-Term The first validated ring in the hierarchy becomes the active execution horizon.

The execution horizon and macro bias can differ. A trader may execute a short-term trade while remaining aware of the dominant long-term directional bias.

Short-Term Ring

Uses Moon, Mercury, Venus, and Mars. This ring reflects fast-moving tactical pressure.

Mid-Term Ring

Uses the Sun. This ring acts as an intermediate timing validator, sitting between fast tactical pressure and slower structural confirmation.

Macro Ring

Uses Jupiter, Saturn, Uranus, Neptune, and Pluto. This ring reflects longer-term structural pressure and broader market cycles.

A ring is only considered valid if its projected trade passes the minimum risk/reward requirement. Rings failing the risk/reward filter are converted to WAIT.

Planetary Validation → Target Approved Reward ÷ Risk if R:R < Minimum Threshold → WAIT else → VALIDATED RING

6. Signal quality score

Each signal receives a quality score. The score combines trigger precision, number of confluences, planet weight, and multi-ring alignment.

Very High = score ≥ 70 High = score ≥ 55 Medium = score ≥ 40 Low = score below 40

7. Entry risk filter

The entry price is checked against potentially difficult planets:

If the entry degree forms a tight hard aspect with one of these bodies, the system marks the entry as elevated or high risk.

orb <= 0.50° → HIGH RISK orb <= 1.50° → ELEVATED else → NORMAL

8. Risk / Reward Validation

Every trade candidate is evaluated using projected reward and projected risk.

Reward = | Target - Entry | Risk = | Entry - Stop | R:R = Reward / Risk

Signals failing the minimum risk/reward threshold are rejected automatically.

if R:R < 1.25 → WAIT else → VALID SIGNAL

This prevents geometrically valid signals that offer insufficient reward relative to their risk.

9. True Gann Fan Structure

ASTROGANN uses a true Time-Price Gann Fan derived from real market swings.

Swing Range = Swing High - Swing Low Swing Duration = Days Between High and Low True Gann Unit = Swing Range / Swing Duration

The engine determines:

In uptrends the Fan Anchor is the Swing Low. In downtrends the Fan Anchor is the Swing High.

1x2 = Slower Structure 1x1 = Primary Structure 2x1 = Strong Trend

Fan Zones

Below 1x2 = Weak Structure
Between 1x2 and 1x1 = Primary Structure
Between 1x1 and 2x1 = Strong Structure
Above 2x1 = Accelerated Structure

The nearest fan line is shown as:

Current Fan Zone: 1x1

This allows traders to identify the dominant structural level controlling price.

Execution Models

Astro‑GANN supports multiple execution styles depending on where the dynamic Gann Fan sits relative to the original signal anchor.

BUY Dynamic Entry Above Anchor → BREAKOUT BUY Dynamic Entry Below Anchor → PULLBACK BUY SELL Dynamic Entry Below Anchor → BREAKDOWN SELL Dynamic Entry Above Anchor → RALLY SELL

The engine does not automatically enter when a planetary trigger occurs. Instead, the trigger freezes the anchor while the dynamic Gann Fan determines where execution should occur.

This allows the system to distinguish between: • Momentum continuation trades (Breakout / Breakdown) and • Retracement trades (Pullback / Rally)

BREAKOUT BUY Price ≥ Dynamic Entry ↓ Trade Active PULLBACK BUY Price ≤ Dynamic Entry ↓ Trade Active BREAKDOWN SELL Price ≤ Dynamic Entry ↓ Trade Active RALLY SELL Price ≥ Dynamic Entry ↓ Trade Active

Dynamic Gann Entry

Unlike a traditional static limit order, ASTROGANN treats Gann Fan levels as time-dependent structures.

When a signal is created, the original entry is frozen and stored for historical reference. However, the live executable entry continues to follow the current Gann Fan.

Signal Creation Original Entry: 1784.00 Current Dynamic Entry: 1784.40 Gann Fan Drift: +0.40 (+0.02%) Execution Type: BREAKOUT BUY

This preserves the time component of Gann geometry. A trade remains aligned with the live fan structure instead of using a permanently frozen breakout level.

10. Lunation volatility window

ASTROGANN also calculates the next New Moon or Full Moon. The engine scans forward through Sun and Moon longitudes and refines the exact lunation crossing.

New Moon: Sun–Moon Longitude Difference = 0° Full Moon: Sun–Moon Longitude Difference = 180°

The time distance to the next lunation is classified as volatility context:

This does not create the trade by itself. It only describes the broader timing environment.

11. Harmonic Zodiac Projection

A unique part of the ASTROGANN integration is that important price levels are rendered inside the zodiac SignCards as synthetic ASTROGANN bodies.

The following price points are projected into zodiac signs:

Price Level → GANN Degree GANN Degree → Harmonic Projection Harmonic Projection → Zodiac Longitude Zodiac Longitude → Sign Placement Sign Placement → Aspect Scan Aspect Scan → Planetary Confluences → Aspect Type → Orb Distance

This lets users inspect how a GANN-derived price level maps into the zodiac through harmonic projection and how that position relates to nearby planetary structure. These price points are not planets; they are synthetic objects used for geometric visualization.

Note: Astro‑GANN uses two different representations of price. The trading engine uses a Square of 9 angular transformation for signal generation, planetary confluence detection, target projection, and trade validation. SignCards use a circular zodiac projection:

scaleFactor = 10^(floor(log10(price)) - 2) visualDegree = (price / scaleFactor) % 360

As a result, the trading degree used by the Astro‑GANN engine and the visual degree displayed inside SignCards are intentionally different representations of the same market price.

In addition, Validation Matrix values are frozen when a signal is created and represent the exact planetary configuration that approved the trade. SignCard aspects are recalculated from current live planetary positions and therefore continue to evolve over time. For this reason, SignCard aspect orbs may differ from the validation orb originally used by the Square of 9 Target Validation process. This behavior is intentional: Validation data is historical and frozen, while SignCards always reflect the current sky.

12. Signal lifecycle

ASTROGANN has several signal states:

Signals also use orphan protection. If price reaches the target before entry, the setup is cleared.

13. Simplified pseudocode

price = getLivePrice()
planets = getPlanetaryPositions()
trigger = detectPlanetaryConfluence()
if trigger:
    anchor =
      freezeAnchor()
    fan =
      calculateGannFanState(
        anchor
      )
rings =
  calculateRingValidation(
    anchor,
    fan
  )

All Rings:
Entry = Dynamic 1x2 Fan
Stop = Fan Anchor

Targets differ by Square of 9 Ring Projection
selectedRing = getSelectedRing(rings)
originalEntry = selectedRing.entry
dynamicEntry = fan.fan1x2
entryType = determineExecutionModel(dynamicEntry, anchor)
if entryType == BREAKOUT BUY:
  wait until
  price >= dynamicEntry
if entryType == PULLBACK BUY:
  wait until
  price <= dynamicEntry
if entryType == BREAKDOWN SELL:
  wait until
  price <= dynamicEntry
if entryType == RALLY SELL:
  wait until
  price >= dynamicEntry
  
stop = selectedRing.stop
target = selectedRing.target
bias = selectedRing.bias

return signal

Limitations

ASTROGANN combines mathematical price geometry with astrological timing. It should be used for educational purposes only, not treated as a predictive certainty.

Disclaimer: ASTROGANN is for educational purposes only. Do not use it as the sole basis for financial decisions.

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