Summary

W.D. Gann (William Delbert Gann, 1878–1955) was an American trader and market analyst born in Lufkin, Texas. He developed a proprietary system for forecasting financial markets using time/price geometry, cycle counting, seasonal turning points, and planetary formations. His methods were documented in a series of courses and books spanning the 1910s through the 1950s. Gann achieved a legendary status on Wall Street — partly through his claimed trading record and partly through the complexity and apparent predictive power of his system — though both remain contested.

His framework centres on what he called the “Master Time Factor”: the idea that time is the dominant variable in market forecasting, more important than price. Markets do not move randomly; they move according to fixed geometric and cyclical laws that repeat across time. Gann identified specific counts in calendar days, weeks, months, and degrees of the circle that mark likely turning points — derived from seasonal cycles, planetary periods, and square-root relationships between price and time. His 1927 novel Tunnel Thru The Air is widely regarded by PSE and Gann researchers as containing coded market forecasts, including a predicted major top and bear market in the late 1920s.

An adjacent tradition to the Hoyt/Harrison/Foldvary land-cycle lineage, Gann’s framework arrives at compatible long-cycle conclusions by a different route. See 18-6-year-real-estate-cycle for the convergence point.

Why He Matters to PSE

Phil Anderson and PSE treat Gann’s work as a complementary timing system that runs in parallel with the 18.6-year land cycle. Anderson’s view is that Gann arrived at compatible long-cycle periodicity — identifying ~18-year rhythms and multi-decade turning points — through an entirely different intellectual tradition (planetary/time-count geometry) than the land-rent theorists (Hoyt, Harrison, Foldvary). That two independent traditions converge on similar major peaks and troughs strengthens the analytical case.

In PSE’s applied practice, Gann’s system provides:

  • Sub-cycle timing — while the 18.6-year land cycle sets the macro framework, Gann time-counts identify within-cycle turning points at seasonal, monthly, and degree-based intervals. [Source: gann-time-counts]
  • Annual Roadmap construction — the year-shape overlay methodology (10-, 20-, 30-, 40-, 50-, 60-year repeats) traces directly to Gann’s own 1929 forecast methodology, which used 20-year (1909) and 60-year (1869) repeats. [Source: financial-timetable]
  • Pattern identification — the Mex Pete ascending triangle pattern is sourced from page 67 of Gann’s Truth of the Stock Tape (1923). Anderson explicitly directs PSE subscribers to that page as the canonical description. [Source: mex-pete-trading-style]
  • Commodity market rules — Gann’s planetary rules for cotton, grain, and gold are applied by PSE to modern commodity markets, particularly the Saturn/Neptune drought rule and Jupiter/Neptune crop rules. [Source: planetary-cycles]
  • Personal life cycles — Gann’s 30-, 45-, and 60-year counts applied to individuals’ lives (career peaks, major transitions) are taught in Phil Anderson’s Gann class.

The practical output of integrating Gann with the land cycle is the Mex Pete Portfolio: a stock-selection framework that combines the 18.6-year cycle’s phase positioning with Gann’s ascending triangle breakout pattern to identify high-conviction entry points. [Source: mex-pete-trading-style]

Core Methods

Time Counts

Gann’s foundational claim: markets turn at predictable intervals counted in calendar days, trading days, weeks, and months from prior significant highs and lows. The key counts are degree-based: 30, 60, 90, 120, 150, 180, 240, 270, and 360 days/degrees from a major pivot. The logic is that 360 degrees = one full circle = one complete cycle, and fractional counts mark intermediate turning points. PSE applies these counts to equity indexes, gold, and individual stocks. [Source: gann-time-counts]

Financial Timetable (Decade Cycles)

Gann used historical year-shape overlays for his 1929 forecast: he identified 1909 (20 years prior) and 1869 (60 years prior) as structurally similar years and used their market shapes to project 1929’s path. PSE extends this into the annual Roadmap framework — overlaying 10, 20, 30, 40, 50, 60, and 90-year-ago shapes on the current year. The 60-year repeat has proven particularly reliable, appearing as the “grey line” in PSE’s Roadmap scenarios. [Source: financial-timetable]

Planetary Cycles

Gann developed rules linking planetary formations and transits to specific commodity and sector behaviour. He avoided stating this publicly — Anderson notes that “Gann avoided mentioning planetary timing publicly” — but the rules are embedded in his courses. Key rules used by PSE:

  • Saturn at 24–28° Pisces: historically associated with market downturns (1907, 1937, 1966, 2025)
  • Jupiter in Gemini or Cancer: lifts US business activity
  • Saturn/Neptune conjunctions: drought signals for agricultural commodities
  • Jupiter/Neptune configurations: strong crop conditions
  • The 18.6-year lunar nodal cycle as the astronomical correlate of the land cycle (North Node position governs US land market conditions per mcwhirter-cycles)

Gann’s 1927 Tunnel Thru The Air is believed to contain predictions based on the April 26, 1927 planetary formation (Saturn-Jupiter-Neptune). Anderson cited the same formation repeating on April 26, 2026 as a major timing signal. [Source: planetary-cycles]

Price/Time Squaring

Gann’s geometry of price and time: when the number of price units equals the number of time units (in the appropriate scale), a market is “squared” and vulnerable to reversal. The “square of nine” and related geometric tools derive from this principle. PSE applies this primarily at major cycle highs and lows rather than in short-term trading.

Seasonal Patterns

Equinoxes (March 21, September 23) and solstices (June 22, December 22) plus their calendar midpoints (approximately February 2–3, May 4, August 6, November 6) are PSE’s primary seasonal turning-point windows. Gann identified these dates as recurrent pressure points across markets. PSE tracks ±1–2 day windows around each. [Source: gann-time-counts]

From Gann’s Originals to Modern Markets

Gann developed his system on early-20th-century US markets: the DJIA, US wheat, cotton, and individual NYSE stocks including Mexican Petroleum, US Steel, and Anaconda Copper. The question of whether and how this system translates to modern global markets — the S&P 500, ASX 200, FTSE, cryptocurrency, and global commodities — is the central practical challenge of applying Gann’s work today.

PSE’s applied position, as documented in subscriber materials and BBI sessions, is that the foundational time-count windows (30/45/60/90 days, seasonal dates, year-shape repeats) are universal — independent of which specific instrument is being charted — because they derive from astronomical and geometric constants rather than from any particular market’s structure. If a 90-degree count from a major equity low marks a turning point in the 1920s DJIA, the same count should mark a turning point in a modern equity index, because the underlying periodicity is astronomical, not instrument-specific.

This is the implicit cross-market translation logic. What PSE’s materials do not formally document is the derivation of that logic — the argument is applied in practice but not explicitly proved in the wiki source materials. As Phil Anderson acknowledges in Gann class content, “if the day falls on a weekend… not always” — some imprecision is acknowledged, and the system is probabilistic rather than mechanistic.

Several specific modern applications are documented:

  • Gold: PSE’s 7,200-calendar-day count from the May 2006 gold top to the January 2026 top is a direct Gann time-count application to the modern gold market. The 64-week sideways thesis uses Gann’s square-of-eight (8² = 64) applied to the gold price. [Source: gold]
  • NASDAQ: PSE identified the April 2026 NASDAQ top as 4,320 trading days from the March 2009 low — a Gann square/count applied to a modern index. [Source: 2026-04-29-bbi-april-2026-qa]
  • Commodities: Saturn/Neptune drought rules applied to modern agricultural futures; Jupiter/Neptune rules to grain markets. [Source: planetary-cycles]
  • ASX 200: A Mexican Pete weekly ascending triangle formed and broke out at end of 2023, slightly ahead of the S&P 500 — Gann pattern recognition applied to the Australian index. [Source: mex-pete-trading-style]

PSE materials apply the framework but do not formally document the cross-market translation step. The practitioner inference — “Gann’s counts are universal” — is applied, not derived.

Relationship to the 18.6-Year Cycle

Anderson’s framing is explicit: Gann’s tradition is intellectually independent from the Hoyt/Harrison/Foldvary land-cycle tradition, yet the two arrive at compatible long-cycle conclusions. Gann reached his ~18-year periodicity from time-counts and planetary cycles (the lunar nodal cycle is 18.6 years; Saturn’s return is ~29.5 years; the 18-year count appears in multiple Gann cycle overlays); Harrison, Hoyt, and Foldvary reached it from land-rent economics and empirical property data.

They converge on similar major cycle peaks and troughs by entirely different reasoning. Anderson uses this convergence as reinforcing evidence — if two independent methodological traditions point to the same year as a major turning point, the probability that it is significant increases. The 2026 confluence of the North Node entering Aquarius, the 18.6-year cycle from the 2012 low, the 60-year Financial Timetable repeat (1966), and multiple Gann time-counts pointing to 2026 is the clearest example of this cross-tradition convergence in PSE’s current-cycle analysis. [Source: 18-6-year-real-estate-cycle, financial-timetable, planetary-cycles]

Key Works

  • Truth of the Stock Tape (1923) — foundational trading manual; page 67 describes the ascending triangle (Mex Pete) pattern used throughout PSE’s practice
  • Tunnel Thru The Air (1927) — novel believed to contain coded market forecasts including the 1929 crash; references the April 26, 1927 planetary formation; cited by Anderson as containing Gann’s long-cycle timing
  • Wall Street Stock Selector (1930)
  • 45 Years in Wall Street (1949) — retrospective on his trading career
  • How to Make Profits in Commodities (1942) — detailed commodity rules including the planetary formations PSE applies to modern markets
  • His “Master Stock Market Course” and commodity courses (1930s–1950s) — the primary source for PSE’s Gann class content; includes planetary timing rules Gann did not publish openly

[Source: PSE Gann class materials, multiple sessions; mex-pete-trading-style; planetary-cycles]

Contradictions / Open Questions

  • Planetary / astrological basis: Gann’s reliance on planetary cycles and degree-counting derived from astronomical observations is treated as serious and practically actionable by PSE/Anderson. Mainstream finance rejects this as unscientific. PSE’s position is empirical rather than theoretical — “it works in practice” — but the mechanism is not explained in materialist terms. This tension is real and unresolved in the wiki materials.
  • Track record dispute: Gann’s claimed trading record (variously reported as 85–90%+ profitable trades, spectacular forecasting accuracy) is partly self-reported. Contemporary financial historians have challenged the documented record. PSE does not address this critique directly.
  • Cross-market translation: Gann developed his system on US markets, 1900–1950s. PSE applies it globally to modern instruments. The translation is applied in practice but not formally derived in the wiki. [Floyd: this is the open question I flagged]
  • Tunnel Thru The Air interpretations: Anderson treats this novel as containing verifiable encoded forecasts; critics treat it as post-hoc pattern matching. The forecasts Gann allegedly encoded in the novel have been analysed with varying conclusions.
  • The “Master Time Factor” mechanism: Gann asserted that time governs markets via geometric/astronomical law. Why astronomical cycles should govern financial markets is not explained in causal terms within PSE or Gann’s own materials.