Riding Primary Trends
"Riding primary trends" is the core discipline of position trading: identifying the dominant, months-to-years directional move in an instrument and holding through it — sitting through secondary corrections rather than trading them — until the trend itself reverses. The term traces directly to Dow Theory, which classified market movement into the primary trend (the tide, lasting months to years), secondary reactions (the waves, lasting weeks to months and counter to the primary), and minor ripples (days). The position trader's edge, and his core tension, is the same one: capturing the fat tail of a large move requires deliberately not reacting to the painful 1/3-to-2/3 retracements that scare swing traders out. The hard part is psychological and selective, not analytical — distinguishing a normal secondary reaction (hold) from an actual change in primary trend (exit).
The setups
A position-trade entry on a primary trend keys on the resumption of an established trend after a secondary reaction, or on a confirmed primary trend change. The canonical conditions:
- Establish the primary trend first. Dow's definition of an uptrend is a sequence of higher highs and higher lows; a downtrend, lower highs and lower lows (StockCharts ChartSchool). Position traders read this on the weekly chart, often confirmed by a rising long moving average (50-week or 200-day are commonly used reference lines; the exact value is a convention, not a rule).
- Wait for a secondary reaction. Counter-trend pullbacks "typically retrace 1/3 to 2/3 of the primary move, with 50% being the typical amount" and last weeks to months (StockCharts). A pullback that holds above the prior primary low (in an uptrend) keeps the trend intact.
- Enter on resumption with volume. The trigger is price breaking back beyond the secondary-reaction extreme (e.g. taking out the high that preceded the pullback) with expanding volume in the trend direction. Dow Theory holds that volume should be heavier on advances than corrections in a bull market (StockCharts).
- Confirmation, not prediction. Trend-following is mechanically a reactive discipline — you act after directional momentum is confirmed, accepting that you will never catch the exact bottom or top.
The systematic, quantified cousin of this discretionary setup is time-series momentum: go long instruments with positive trailing returns (the 12-month lookback, excluding the most recent month, is the most-studied window), sized to a volatility target (Moskowitz, Ooi & Pedersen 2012). The two share the same economic logic.
How it's used in practice
Position trading on primary trends differs from swing trading mainly in what you tolerate:
- Hold period and stop width. Position traders hold weeks to months or years and use wide stops to give the trend room to breathe through secondary reactions; swing traders use tight stops and small targets over days to weeks (IG Academy). A stop placed below the last secondary low (uptrend) — not below the last minor dip — is the standard logic.
- Trailing exits. Because the goal is to capture an open-ended move, exits are typically trailing: a moving-average violation, a trendline break, or a Dow reversal signal (a lower low that exceeds the prior secondary low in an uptrend). The position is exited when the primary structure breaks, not on a normal pullback.
- Drawdown acceptance. Trade-level and equity drawdowns are deliberately deeper — practitioner sources cite position-trade drawdowns of 20–30% as routine, justified by playing for moves of 20–100%+ versus a swing trader's 5–20% (EBC, StocksToTrade). These are illustrative practitioner ranges, not measured constants.
- Trend-phase awareness. Dow's three phases (accumulation → public participation/big move → excess/distribution) tell the position trader where in the trend they are entering. The middle "big move" phase is where participation is broadest and the easiest gains sit; entering in the excess phase invites buying near a top (StockCharts).
Adoption, debate & evidence
The concept is among the oldest and most widely held in markets — Dow Theory predates modern technical analysis and underpins all trend-following. Its systematic form, time-series momentum, has unusually strong academic support for a TA-rooted idea:
- Moskowitz, Ooi & Pedersen (2012) found significant time-series momentum across 58 futures markets in equities, bonds, commodities and currencies (1985–2009), with the diversified, volatility-scaled strategy delivering an excess return of more than 1% per month and a gross Sharpe ratio commonly cited around ~1.3 — far above buy-and-hold (their published figures; the ~1.3 diversified-Sharpe figure is also reported via Quantpedia). Note this is a gross (pre-cost), diversified-portfolio number.
- Hurst, Ooi & Pedersen (2017) extended the result across 67 markets over 1880–2016, finding positive average returns in every decade since 1880 and strong performance in 8 of the 10 largest 60/40-portfolio drawdowns — evidence the premium is structural, not period-specific.
- It exhibits "crisis alpha": trend-following was strongly positive in 2008 while the S&P 500 fell ~37%, because it was short equities and long bonds going into the crash.
Important honesty caveats. (1) The robust evidence is for diversified, multi-asset, systematic time-series momentum — it does not automatically transfer to riding the primary trend of a single stock, which is far noisier. (2) Trend-following has had widely-discussed weak stretches in trendless, low-volatility regimes (much of the 2011–2019 period is frequently cited), and crowding into a now multi-trillion-dollar strategy raises legitimate questions about future alpha. (3) Backward-looking signals lag turning points by construction.
Strengths & limitations
Works best in: strongly trending, higher-volatility regimes where moves persist; instruments with real fundamental drivers behind the trend; diversified application across many positions.
Fails in: range-bound, choppy, mean-reverting markets, where the strategy gets whipsawed — repeated small losses as entries reverse before a trend develops. This is the documented primary source of trend-following underperformance.
The #1 misuse: confusing a normal secondary reaction with a trend reversal — either bailing out of a healthy trend on an ordinary 50% pullback (forfeiting the move you positioned for), or its mirror, refusing to exit when the primary structure has genuinely broken and a "pullback" has become a new downtrend. The Dow reversal rule (a counter-move that exceeds the prior secondary extreme) exists precisely to separate the two. A second common error is applying single-name trend-following while citing the diversified-portfolio Sharpe ratios as if they applied to one stock.
Sources
- StockCharts ChartSchool — Dow Theory (primary/secondary/minor trends, three phases, 1/3–2/3 retracement, volume confirmation, reversal rules): https://chartschool.stockcharts.com/table-of-contents/market-analysis/dow-theory
- Moskowitz, Ooi & Pedersen (2012), Time Series Momentum, Journal of Financial Economics: https://www.sciencedirect.com/science/article/pii/S0304405X11002613
- Hurst, Ooi & Pedersen (2017), A Century of Evidence on Trend-Following Investing — summarized via AlphaArchitect: https://alphaarchitect.com/time-series-momentum-aka-trend-following-the-historical-evidence/
- Quantpedia — Time Series Momentum Effect (diversified-strategy Sharpe ~1.3, performance summary): https://quantpedia.com/strategies/time-series-momentum-effect
- IG Academy — Position and swing trading (holding periods, stop width): https://www.ig.com/en/ig-academy/planning-and-risk-management/position-and-swing-trading
- EBC Financial Group — Position Trading vs Swing Trading: 10 Key Differences (drawdown/target ranges, illustrative): https://www.ebc.com/forex/position-trading-vs-swing-trading-10-key-differences
Disputes flagged: practitioner drawdown/target percentages (20–30% / 20–100%) are illustrative ranges, not measured constants. The strong Sharpe-ratio evidence applies to diversified multi-asset systematic trend-following, NOT to riding a single stock's primary trend; post-2010 trendless-regime underperformance and crowding are genuine open debates.