The Six Market Types: Why No Trading System Works Everywhere

Markets, in Van Tharp's classification, come in six types: bullish, bearish, and sideways, each of which can be quiet or volatile, and his central claim is that building a good system for one market type is fairly easy while building one system that works in all six is close to impossible. The practical consequence is a discipline most retail traders never adopt: identify the current market type first, and only then decide which strategy, if any, to run. This is part 4 of Artha's 10-part series on Tharp's Super Trader (McGraw-Hill, 2009); the framework is his, the explanations and Indian adaptations are ours, and this is education, not advice. The series begins with the five steps overview.

What are the six market types?

The six types come from crossing direction with volatility. Direction has three states, up, down, and sideways, and volatility has two, quiet and volatile, giving six combinations: quiet bull, volatile bull, quiet sideways, volatile sideways, quiet bear, and volatile bear.

The two dimensions matter for different reasons. Direction decides which side of the market pays: long strategies in bull phases, short or defensive strategies in bear phases, range-trading approaches in sideways phases. Volatility decides how wide your stops must be, how large positions can safely be, and how violently a strategy's results will swing. A quiet bull and a volatile bull are both "up markets," yet they punish and reward completely different behaviour.

How did Tharp measure market type?

He used rolling 13-week windows on the market index, roughly a quarter of trading. For direction, he looked at the percentage change over the window and compared its absolute value to the long-run average of such changes in his US data, about 5.5%: moves smaller than that threshold marked a sideways market, larger moves marked bull or bear depending on sign. For volatility, he used the average true range (ATR) over the window expressed as a percentage of price, and compared it to its long-run average, about 2.9% in the same data: above average was volatile, below was quiet.

The exact thresholds are calibration details from decades of US data, and a trader applying the idea elsewhere would recompute them for their own market and time frame. What transfers is the method: pick a lookback window that matches your trading horizon, measure directional change against its own historical norm, measure volatility against its own historical norm, and let those two comparisons name the market type.

What did the data show about how common each type is?

The finding most readers remember from Tharp's analysis of 58 years of US market history is that sideways conditions dominated, accounting for a bit over half of all periods, while bear phases were rarer, roughly one period in eight, and quiet bear markets were rarest of all. Volatile and quiet conditions split the record roughly 40:60.

The implication is uncomfortable for the typical retail portfolio, which is built implicitly for one market type: the quiet bull. If trending bull conditions are only a minority of all periods, a bull-only method spends most of its life in environments it was not designed for. That, in Tharp's telling, is why traders who look brilliant for two years can give everything back in six months: the market type changed and the trader did not.

Why can't one system work in all six types?

Because the behaviour that makes money in one type is the behaviour that loses it in another. A trend-following system needs prices to keep going after a breakout; in a sideways market, breakouts fail by definition, and the system bleeds through whipsaws. A range-trading system that sells strength and buys weakness gets destroyed the day a real trend begins. Wide stops that survive a volatile market give back too much in a quiet one; tight stops that maximise gains in a quiet trend get shaken out constantly by volatile noise.

Tharp's resolution was not to search harder for a universal system but to drop the requirement: build or adopt a separate approach for each market type you intend to trade, and, just as importantly, know which types you will simply sit out. Cash is a position, and in some market types it is the best-performing strategy a retail trader has.

How could a trader apply this to Indian markets?

By running the same two measurements on an Indian index such as the Nifty 50. A worked illustration of the method (the numbers are illustrative, chosen to show the arithmetic, not current readings): suppose over the past 13 weeks the Nifty moved from 24,000 to 25,320, a change of +5.5%. Suppose your own study of Nifty history shows the average absolute 13-week change is about 6%. The move is below the threshold, so direction reads sideways, leaning bullish. Now suppose the 13-week ATR works out to 1.8% of the index level against a historical average of 2.2%: volatility reads quiet. Classification: quiet sideways market, an environment where breakout-chasing has a poor record and patience or range-bound approaches historically fare better.

Anyone can maintain this in a simple spreadsheet updated weekly from free index data: one column for the 13-week percentage change, one for ATR as a percentage of price, and two long-run averages as thresholds. The output is a single label, and the label does the strategic work: it tells you which of your documented strategies, from your business plan, is currently allowed to trade.

What does "big picture" monitoring add to market type?

Market type is a measurement of what prices are doing now; the big picture is your view of the forces that could change the type: the rate cycle, currency trends, global risk appetite, domestic flows. Tharp kept both: a monthly review of large factors, and the rolling market-type measurement to time strategy switches. The big picture warns you which transitions are plausible, the market-type measure tells you when a transition has actually registered in prices.

The order of operations he recommended for system design follows from this: first decide the market types you want to trade, then design or select one strategy per type, each near excellence in its own environment, rather than one strategy stretched across all environments. Part 6 of this series introduces the quality ratio Tharp used to judge whether a system is excellent within its type.

What happens when the market type changes against your system?

In Tharp's framework, continuing to trade a system after the market type has visibly turned against it is not bad luck; it is a rule violation, one of the costliest mistakes a trader can log. The disciplined response is mechanical: when the weekly measurement flips the label, the strategies mapped to the old label stand down and the strategies mapped to the new one, or cash, take over.

This is also the honest answer to the trader's lament "my system stopped working." Usually the system did not stop working; it kept working exactly as designed, in a market type that no longer exists. The 1999 tech-boom traders Tharp described, who mistook a raging bull market for personal skill, met this lesson in 2000-2002, and every subsequent cycle has re-taught it, including, for Indian small-cap momentum traders, more than one episode in recent memory.

What this means for you

Tharp's market-type lens replaces the question "is this a good system?" with the better question "which market type is this system good in, and is that the type we are in now?" A trader who can answer both has a reason for every period spent in the market and every period spent out of it. The next article builds the measuring instrument the rest of the framework runs on: expressing every trade as a multiple of initial risk, the R-multiple.

Series credit: this series is based on concepts from Super Trader: Make Consistent Profits in Good and Bad Markets by Van K. Tharp, Ph.D. (McGraw-Hill, 2009). Full credit for the framework belongs to Dr. Tharp and the Van Tharp Institute.