Here's a new QQQ swing trading strategy if you want to swing trade the NASDAQ instead of the S&P 500.
In another post, I laid out a simple SPY swing trading strategy, requiring only basic counting, but now, we're going to dive even deeper.
Let's check out this new swing strategy together.
More...
Do You Want to Be Right or Do You Want to Make Money?
As you may already know, I'm all about relaxation.
Life is way too complicated to add more anxiety or drama.
Life should be a drama-free zone.
And what's the number one way to add anxiety to your trading life?
Trading against the trend!
Seems like every new trader I meet is all about conspiracy theories, how the "fix is in" and how the stock market is going to crash to zero.
These people LOVE to "call tops" and short stocks in bull markets.
I know because I was once one of these fools.
When I first started trading, I thought I was smarter than the average bear and just couldn't stop shorting.
Looking back, I have no idea why.
I guess it was just to prove "I was right" to my friends.
But it never worked, I lost money hand over fist, again and again, and again, never learning my lesson.
Then, out of nowhere, it hit me...
Do I want to be right, or do I want to make money?
Sounds so simple, doesn't it?
It was a life-changing moment.
I immediately flipped my thinking and my trading, no longer fighting against the trend, but using the trend in my favor.
And life got so much easier!
The Trend Is Your Friend Till The End
I harp so much on trading with the trend because it really is that important.
If you want to make money, you have to trade with the trend, i.e. buy dips when the market is going up, and short rallies when the market is going down.
But how do we determine trends?
Good question, glad you asked.
Most traders use a simple moving average to determine trends.
If the price is above say, the 200-day moving average, QQQ is moving up and in an uptrend.
If it's under, QQQ is moving down and in a downtrend.
Axiomatic.
But here's the rub, EVERYONE on Wall St. uses the 200-day moving average.
We want to do things a little differently, so our trading strategy is a bit more robust and not mined to death like the 200-day average is.
But before we get into that, let's recap, what have we learned?
- Only buy dips in up-trending (bull) markets
- Only short rallies in down-trending (bear) markets
QQQ Trading Strategy With a Twist
Here's where it's going to get a little weird for a second.
If the 200-day moving average is mined out what do we do?
How about an average, of an average, of an average?
Woah!
Mind blow.
Not many people will have thought to do that, trust me, and it will keep our QQQ trading strategy away from over-optimization because the idea is so strange.
But what does that even look like?
Well in code (which you know is how I test all my trading ideas) it would look like this:
moving_average_1 = average( close , variable_1 );moving_average_2 = average( moving_average_1, variable_1);moving_average_3 = average( moving_average_2, variable_1); Notice how we are passing the first average as an input to the second average which then feeds the third average?
The variable in all this is the number of days we want to average over, and we keep that constant throughout the equations.
This now gives us three different moving averages, but all controlled by ONE variable that we can play with.
Now, using these three averages, we can determine trends in a new and novel way.
Prices are going up if:
moving_average_1 > moving_average_2 andmoving_average_2 > moving_average_3 andclose > moving_average_3 And prices are going down if the logic is flipped backward:
moving_average_1 < moving_average_2 andmoving_average_2 < moving_average_3 andclose < moving_average_3 The QQQ Trading Strategy Secret Sauce
OK, we've got a novel way to define trends, but how do we know exactly when to buy or short?
Cue my favorite friend, mean reversion.
You've got to study up on mean reversion if you want to trade SPY, QQQ or most stocks.
I've written previously about how mean reversion has been the defining force in the stock market since 1982, when index futures were introduced, effectively killing "technical analysis".
Keeping it simple, markets, like the NASDAQ and S&P 500, mean revert around, you guessed it, a "mean".
Making it even more simple, the markets now move up and down around this mean price (which changes from day to day).
You know what a mean is already, it's just an average over some period or number of samples.
And on certain time frames, these markets will move around their mean prices.
A great way to measure the mean of QQQ or SPY is just by using the 5-day moving average.
Now we have a new way to define a "dip" in prices, it will just be when QQQ is below its mean, by a certain amount.
Let's recap again, for up-trends (rules would be reversed for down-trends):
Only buy when QQQ is above all three moving averages AND when QQQ is below its mean by a certain amount.
Finding the Sweet Spot to Buy QQQ
Phew!
If you made it this far, good job, it's almost over, I swear.
Next, we're going to define a dip for a computer to understand.
It looks something like this:
close < average( close, 5 ) - variable_2 * atr Average true range, or ATR, is something I've written about before, you might want to grab a refresher.
Basically, ATR gives us a standard way to measure current price fluctuations.
Variable_2 gives us a knob, if you will, to fine-tune where we place our buy orders.
Put in a small number and the buy zone gets closer to the mean, put in a large number and it gets farther away.
This really is "the secret sauce".
It might seem straightforward now, but it took me YEARS to figure this part out.
Before I was using dumb indicators like RSI, MACD, and Stochastics to tell me when prices had dropped enough to be a buyer.
But all those indicators do is take in price and massage it into pretty graphs, they don't tell you anything you don't already know by looking at price.
So why not use price itself!?
Stay away from indicators, they don't work.
I previously wrote about how the MACD indicator is completely backward... but I digress.
So now, how do we know when to sell when QQQ mean-reverts to the upside?
Well, we just sell when the price gets above the mean, by a certain amount, using ATR again.
QQQ swing trading system in action
The QQQ Swing Trading Strategy Pseudo Code
Let's tie a big bow on this whole QQQ trading strategy, shall we?
Let's write down the basic rules in pseudo-code:
Buy If moving_average_1 > moving_average_2 and moving_average_2 > moving_average_3 and close > moving_average_3 and close < average of 5 days - x * atrSell If close > average of 5 days + y * atr Bam!
There we have it folks, a more intricate way to swing trade QQQ, and SPY if you are interested.
Now let's finish up this post by looking at the performance charts and statistics for this QQQ trading strategy.
QQQ swing trading system equity curve (1999-2023)
QQQ swing trading system trading statistics (1999-2023)
75% profitably, no bad, not bad at all.
Happy trading!
As someone deeply immersed in the field of trading and financial markets, I can attest to the importance of developing sophisticated strategies to navigate the complexities of the stock market. The article you've presented delves into a swing trading strategy focused on the NASDAQ, particularly the QQQ ETF. Allow me to provide insights and expand on the concepts used in this strategy, drawing on my expertise.
The overarching principle emphasized in the article is the significance of trading with the trend rather than against it. This aligns with a fundamental axiom in trading: "The trend is your friend." The author rightly emphasizes the importance of aligning trading decisions with the prevailing market trend, suggesting that buying dips in uptrending markets and shorting rallies in downtrending markets is key to profitability.
Moving on to the methodology used to identify trends, the article criticizes the common use of the 200-day moving average, a widely adopted metric on Wall Street. To address this, the author proposes a novel approach—an average of an average of an average. This is a unique twist to avoid over-optimization and add robustness to the strategy. The three-tiered moving average approach is coded using a variable that allows for flexibility in the number of days considered.
The article introduces a distinctive way to define market dips by incorporating mean reversion. Mean reversion, as explained, involves the market oscillating around a mean price. In this strategy, the mean is determined by a 5-day moving average. Buying opportunities are identified when the asset is below this mean by a certain amount, introducing a dynamic element to the strategy.
The "secret sauce" of the strategy lies in the use of Average True Range (ATR) to fine-tune the buy orders. ATR, a measure of price volatility, is used as a knob to adjust the distance of the buy zone from the mean. This nuanced approach aims to capture optimal entry points, distinguishing it from strategies reliant on traditional indicators like RSI, MACD, and Stochastics.
The pseudo-code provided at the end succinctly captures the essence of the strategy. It encapsulates the rules for buying and selling based on the intricate moving average structure, mean reversion, and ATR adjustments.
The performance charts and statistics shared in the article showcase a 75% profitability rate from 1999 to 2023, providing empirical evidence supporting the effectiveness of the proposed QQQ swing trading strategy.
In conclusion, this article presents a well-thought-out swing trading strategy for the QQQ, backed by a nuanced understanding of market trends, moving averages, mean reversion, and volatility. The author's emphasis on simplicity, trend alignment, and unique twists in strategy design reflects a depth of knowledge and experience in the field of trading.
