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This is the fifth special topic in the [ASX order book series](/blog/2026/10/12-reading-the-asx-order-book-how-intraday-traders-actually-find-edge/), after [halts, placements and SPPs](/blog/2026/11/03-halts-placements-and-spps-corporate-action-mechanics-for-traders/). It's about a moment every trader in the journals I read went through, usually more than once: the setup that paid for months suddenly doesn't.

The question at that moment is always the same, and getting it wrong is expensive in both directions. **Is this variance, or has the market changed?** Abandon a good strategy during a normal drawdown and you lock in the loss. Keep trading a strategy whose edge has gone and you bleed indefinitely.

<KeyPoints>

- First test whether a losing stretch is inside normal variance for your statistics.
- Regime change usually has a cause: liquidity, volatility, catalysts, structure or crowding.
- Size down rather than stop, follow the volatility, and be ready to press when it returns.

</KeyPoints>

## Step one: is it within normal variance?

Most traders massively underestimate how long normal losing stretches last. The [win rate vs payoff](/blog/2026/10/21-win-rate-vs-payoff-two-shapes-of-a-profitable-trader/) post showed how often long losing streaks occur by pure chance. The same logic applies to drawdowns.

The practical test is to compare your recent results against what your historical statistics would produce by chance.

```python
import numpy as np

def drawdown_percentile(hist_r: np.ndarray, recent_r: np.ndarray, runs: int = 20_000, seed: int = 0):
    """How unusual is the recent stretch, given historical per-trade R results?
    Resamples historical trades to build the distribution of results over the same number of trades.
    """
    rng = np.random.default_rng(seed)
    n = len(recent_r)
    sims = rng.choice(hist_r, size=(runs, n), replace=True).sum(axis=1)
    return (sims <= recent_r.sum()).mean()

# a result around 0.2 is unremarkable; below 0.02 is genuinely unusual
```

If your recent stretch sits comfortably inside the historical distribution, it's probably variance. If it sits in the extreme tail, something may have changed. This doesn't prove anything on its own, but it stops you from reacting to noise.

## Step two: look for a cause

Variance has no cause. Regime change usually does. These were the causes that showed up in the journals:

<Table data={
    {
        headers: ['Cause', 'What you notice'],
        rows: [
            ['Lower market-wide liquidity', 'Thinner books, smaller auctions, setups that need size no longer have it'],
            ['Fewer catalysts', 'Quiet news flow, fewer stocks in play, more forced trades'],
            ['Lower volatility', 'Moves too small to clear costs, more scratches'],
            ['Choppy, directionless market', 'Breakouts fail, fades work, then neither works'],
            ['Market structure change', 'Auction timings or rules change, a platform or broker changes'],
            ['Crowding', 'Your setup becomes popular and the edge is competed away'],
            ['Sector rotation', 'The sector where your setups lived goes quiet while another heats up'],
        ]
    }
} />

Market-wide activity on the ASX varies a lot from year to year. In a year when listings shrink and daily value traded falls meaningfully, a setup that depends on liquid, active opens simply has less raw material to work with.

## Step three: what to do while you find out

The responses that worked were remarkably consistent across the journals.

<Steps>

1. **Size down, don't stop.** Keep trading the setup at reduced size so you keep collecting data and stay sharp, without paying full price for the uncertainty.
2. **Trade fewer, cleaner setups.** In a poor regime, only A+ setups deserve capital. Several traders went to deliberately small, quick scalps in choppy markets to avoid getting chopped up.
3. **Protect the account.** A defensive stretch with flat P&L is a success if the market isn't offering your setups.
4. **Review by sub-setup.** Often a strategy hasn't died, one variant of it has. Break your statistics down: by time of day, stock price band, sector, gap size, long versus short.
5. **Be patient.** Many regimes come back. Some of the best months in the journals came right after long quiet stretches, when volatility returned to a sector that suited the trader's style.

</Steps>

## Step four: adapting when it really has changed

When the evidence says the regime has genuinely shifted, the traders adapted in a few ways.

**Follow the volatility.** Intraday edges need movement. When one sector went quiet and another heated up (commodity cycles were a frequent driver), the traders who did best moved their attention to where the action was, while keeping the same core skills.

**Add a complementary style.** Several traders who started as pure scalpers added a slower style alongside: multi-day swings, catalyst trades held overnight, or a value-oriented portfolio. The scalping skills still mattered for entries, but the extra style kept the account growing during quiet intraday regimes. Some ended up primarily as swing traders.

**Adjust to structural change.** When market structure changes (auction arrangements, broker platforms, product rules), the core idea usually survives but the details need re-learning. A period of small size while you recalibrate is cheap insurance.

**Retire it.** Sometimes an edge really is gone. Accepting that is easier if you track statistics per setup and have other setups to fall back on.

## Press when it comes back

The flip side of regime awareness is pressing when conditions suit you. When a regime turns in favour of active traders, it tends to happen for many of them at once: record months cluster, because the market is finally serving up the volatility their styles need. The traders who'd survived the quiet stretch with their capital and discipline intact were the ones who could take full advantage.

That's the real reason to manage a bad regime carefully. Not just to lose less, but to still be there, sized correctly and thinking clearly, when the good regime returns.

<SeriesNav series="asx-order-book" />

<Disclaimer />


db509cf37e128f5df17983091e651ed3e4ac14986298c5471e523699286eb026

How to tell if your trading strategy has stopped working or is just in a drawdown, how to detect market regime change, and how day traders adapt.

Every trader in the journals I read went through stretches where a reliable setup suddenly stopped paying. Sometimes it was variance, sometimes the market had changed. How to tell the difference with your own statistics, what to do while you find out, and how traders adapted when the regime really had shifted.

Tag: Market Regime

Tag: Market Regime

When Your Setup Stops Working