In my previous post, I shared my number one trend indicator — the ADX. Now it is time for my second most favorite trend indicator: the DMI (Directional Movement Index). And the way we use it in our hedge fund is nothing like what you will find in any textbook.
The DMI indicator trading strategy I am about to share uses a specific hedge fund trick — shifting the DMI backward by 20 bars — that transforms this indicator from a lagging tool into something genuinely useful for breakout entries. I built this model strategy on the E-mini S&P 500, but it also works unoptimized on the NASDAQ, S&P 400, and Dow Jones. That kind of cross-market robustness is exactly what you want to see.
Watch the full video below, then read on for the complete breakdown.
What Is the DMI and How Most Traders Use It
The Directional Movement Index was created by J. Welles Wilder (the same mind behind the ADX and ATR). It consists of two lines:
- +DI (Positive Directional Indicator): Measures upward price movement strength
- -DI (Negative Directional Indicator): Measures downward price movement strength
The standard textbook interpretation is straightforward:
- When +DI crosses above -DI, the market is trending up — go long
- When -DI crosses above +DI, the market is trending down — go short
- The wider the gap between the two lines, the stronger the directional move
It sounds logical. But if you have ever tried to trade these crossover signals in real time, you know the results are mediocre at best. The signals are late, they whipsaw in choppy markets, and they give you almost no edge. That is because the default DMI settings — typically a 14-period calculation on the current bar — are designed for textbook illustration, not for real trading.
The Hedge Fund DMI Trick: Shift It Back 20 Bars
This is the single most important concept in this entire strategy, and it is something I have never seen anyone else teach.
Instead of reading the DMI value on the current bar, we shift the DMI calculation back by approximately 20 bars. That means the strategy does not care what the DMI says right now. It cares what the DMI said 20 bars ago.
Why does this work? The logic is similar to what I explained in my ADX indicator strategy post about delayed readings. When a trend indicator confirms a strong move on the current bar, you are often looking at the peak of that momentum surge. Entering at that exact moment means you are buying the top of the spike or selling the bottom of the dump.
By shifting the DMI backward, you are asking a different question entirely: “Was the market in a directional state 20 bars ago?” If yes, one of two things has happened since then:
- The trend continued and you are entering on a pullback within that trend — excellent entry timing
- The trend reversed — and your breakout entry logic (which requires price to break a volatility level) will keep you out of bad trades
The shift acts as a natural correction filter. You get the directional information from the DMI without the timing curse of entering at momentum extremes.
DMI Settings: Period 100 and Threshold 35
The second part of the hedge fund trick is the DMI period itself. We do not use the default 14. We use a period of 100 — dramatically longer than what any textbook recommends.
A 100-period DMI smooths out all the short-term noise and captures only the dominant directional bias in the market. Combined with the 20-bar backward shift, you end up with a reading that reflects the medium-term directional state of the market approximately 20 bars ago — filtered through a very long lookback window.
The threshold we use is 35. This is higher than the standard 20–25 range most traders use because the longer period naturally compresses the range of DMI values. A reading above 35 on a 100-period DMI represents genuine, sustained directional strength — not a random blip.
Here is the complete parameter set:
- DMI Period: 100
- DMI Shift: ~20 bars back
- DMI Threshold: 35
- Timeframe: 30-minute bars
- Market: E-mini S&P 500 (ES), full 24-hour session
Traditional DMI vs. Hedge Fund Shifted DMI
This comparison makes the difference clear:
| Aspect | Traditional DMI Usage | Hedge Fund Shifted DMI |
|---|---|---|
| Period | 14 (default) | 100 (captures dominant directional bias) |
| Timing | Current bar reading | Shifted ~20 bars back (avoids momentum peaks) |
| Threshold | +DI/-DI crossover at any level | 35 threshold (filters weak directional signals) |
| Signal type | Crossover-based entries | Directional filter for breakout entries |
| Long/short logic | Symmetrical (same rules both sides) | Asymmetrical (different deployment per side) |
| Typical result | Frequent whipsaws, mediocre win rate | ~60% win rate, $252 average trade on ES |
The shift and longer period transform the DMI from a noisy crossover tool into a robust directional filter — and that is a completely different use case.
Why Asymmetrical Deployment Matters
This is a concept I keep coming back to because it is one of the most overlooked edges in systematic trading: index markets are asymmetrical. They do not behave the same way going up as they do going down.
Bull moves in indexes tend to be slow, grinding, and persistent. Bear moves tend to be fast, violent, and short-lived. This asymmetry is structural — it comes from the long bias of institutional money, buyback programs, and the natural tendency of equity markets to drift higher over time.
Because the market is asymmetrical, your indicator deployment should be asymmetrical too. Using the same DMI settings and logic for both long and short entries is leaving edge on the table. In this strategy, the DMI filter is applied differently on each side to match how the market actually behaves.
This is the same principle I covered in my first trend indicator post with the ADX — flipping the logic for longs versus shorts. The DMI takes it a step further with the shifted reading creating an even more nuanced directional filter.
The Volatility Breakout Entry
The DMI is the filter. The entry itself is a volatility breakout — the same structural approach I use across many strategies.
Here is how the breakout level is calculated:
- Start with the open of the last bar as the base price
- Calculate volatility using the difference between the open and the low (same method I used in the ADX strategy — a clean alternative to ATR)
- Multiply that volatility value by 3 to set the breakout distance
- Add or subtract the result from the open — that gives you the long breakout level (above) and the short breakout level (below)
When price crosses the breakout level and the shifted DMI filter confirms the directional bias, you have a trade. The breakout ensures price has moved meaningfully beyond noise, and the DMI ensures the broader directional context supports the move.
Exits, Timing, and Risk Management
The exit and risk framework in this strategy uses several components that are common in hedge fund systematic trading:
Entry window: 8:00 AM to 3:00 PM only
This restricts entries to the regular session where institutional liquidity is highest. Overnight breakouts on indexes lack the order flow needed for reliable follow-through. If you want to understand why session timing is critical for E-mini S&P 500 day trading, it comes down to this: liquidity drives everything.
Exit: Bars since entry (100 bars)
This is a hedge fund exit technique that deserves its own explanation. Instead of using a profit target or a trailing stop, you simply exit after a fixed number of bars — in this case, 100 bars on a 30-minute timeframe. That translates to roughly 50 hours of market time, or about two and a half trading days.
Why do hedge funds use this approach? Because it removes the need to predict where the market will go. You are giving the trade a fixed amount of time to work, and if it has not delivered by then, you move on. It is clean, objective, and eliminates the emotional trap of “just one more bar.”
Additional risk rules:
- Always exit on Friday — weekend gap risk is uncontrollable and not worth the exposure
- Always use a stop loss — the exact level needs to be optimized for your specific market. Do not skip this step.
- The stop loss needs per-market calibration — what works on the ES will not necessarily work on the NASDAQ or Dow. Test it properly.
Cross-Market Robustness: It Works Beyond the S&P 500
One of the strongest signals that a strategy has genuine edge — rather than curve-fitted noise — is when it works on related markets without re-optimization. This DMI indicator trading strategy was built on the E-mini S&P 500, but it also produces positive results unoptimized on:
- E-mini NASDAQ 100
- S&P 400 MidCap
- Dow Jones (YM)
That kind of cross-market robustness tells you the underlying logic — shifted DMI as a directional filter combined with a volatility breakout — is capturing something real about how index markets behave. It is not an artifact of one specific dataset.
If you want to learn more about building strategies with this kind of structural robustness, I walk through the full process in my masterclass on building breakout strategies that actually work.
Key Takeaways
- The DMI (Directional Movement Index) is my second most favorite trend indicator — and the hedge fund trick is to shift it back ~20 bars so you avoid entering at momentum peaks
- Use a period of 100 (not the default 14) and a threshold of 35 to capture only genuine directional strength
- Deploy the DMI asymmetrically — index markets behave differently on the long and short side, so your indicator logic should reflect that
- The volatility breakout entry uses the open-to-low range multiplied by 3 — same structural approach as the ADX strategy
- Exit after 100 bars (a common hedge fund bars-since-entry technique), always close on Friday, and always use a calibrated stop loss
- The strategy works unoptimized on NASDAQ, S&P 400, and Dow Jones — a strong sign of genuine edge, not curve-fitting
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