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The Systematic Trader
  1. 01Why Be Systematic
  2. 02Constituents of a Trading System
  3. 03Trading Strategy
  4. 04Trading Strategy II
  5. 05Evaluating a Trading Strategy
  6. 06Backtest Metrics
  7. 07Backtest Metrics II
  8. 08Market Regime
  9. 09Real World Backtest Data
  10. 10Risk Management
  11. 11Habit Building in the Market
Chapters08 · Market Regime
  1. 01Why Be Systematic
  2. 02Constituents of a Trading System
  3. 03Trading Strategy
  4. 04Trading Strategy II
  5. 05Evaluating a Trading Strategy
  6. 06Backtest Metrics
  7. 07Backtest Metrics II
  8. 08Market Regime
  9. 09Real World Backtest Data
  10. 10Risk Management
  11. 11Habit Building in the Market
Blog/The Systematic Trader
The Systematic Trader082 min read

Market Regime

A regime, in backtest terminology, is the prevailing market condition.

Let's take one more example from sport. Lawn tennis can be played on a clay court and on a hard court.

Nadal, a great lawn tennis player, was far more successful on clay. Here are his career numbers:

  • Clay: 90.5% (484 wins, 51 losses), the highest clay court win percentage in the Open Era
  • Hard court: 77.8% (387 wins, 111 losses)

Same player. Same training. Same racket. Different conditions, different outcomes.

The stock market also goes through different types of phases. Sometimes it trends upwards. Sometimes it moves sideways for months. Sometimes it is simply very volatile and everything moves too fast.

Some strategies work beautifully in a trending market and do not work at all in a sideways one. This is the reason we care about regime, which is just a name for market phases.

So we should ideally run our backtests across different market conditions, and look at the results per regime rather than as one blended average.

TRENDINGrides itSIDEWAYSchops you upVOLATILEstops out fast
One strategy, three regimes. Nothing about the rules changed between the sections. Only the market did.

That last point is worth sitting with. A metric table that mixes trending-market trades and sideways-market trades into one average can hide the fact that the strategy only works half the time. The blended number looks acceptable. The two halves it is made of tell a completely different story, and one of them is the half you are about to trade into.

How is a regime defined?

There are several parameters you can use. If we want to use the VIX, the volatility index, to classify market behaviour, we can define regimes like this:

  1. Low volatility regime: VIX below 15
  2. Moderate volatility regime: VIX between 15 and 25
  3. High volatility regime: VIX above 25

There are other ways to define a regime as well. You can use the trend of the index itself, the slope of a long moving average, or how many stocks in the market are making new highs. Each one slices the market into phases differently, and none of them is the single correct answer.

What matters is not which definition you pick. It is that you pick one, and then you check your strategy against it honestly, instead of assuming your edge travels everywhere.

In the next lesson we take a real world example and look at actual backtest numbers, across a few different strategies and timeframes, so you can see what all of these metrics look like on real data instead of in a formula.

← Previous07 · Backtest Metrics IINext →09 · Real World Backtest Data

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