top of page

DAX Index: What Seasonality and Volume Say About Q4 2025

Writer: Nicola Abis
Nicola Abis
Sep 15, 2025
3 min read

Updated: Jul 18

After a strong rally at the beginning of the year and again between April and May, the DAX Index has entered a prolonged sideways phase. What can investors expect in the final quarter of 2025? Let’s take a look at the latest data to understand whether market trends are about to shift.


Chart Daily Dax 40 Germany Index con Volume Profile settembre 2025
Dax Index Germany: Volume Profile

Volume Profile

The chart above shows the DAX Index’s volume profile.


Risk Factor: The highest trading volumes of 2025 are currently clustered near the peaks. This should never be underestimated, as such concentration often coincides with market tops that have triggered significant pullbacks.


Positive Factor: The lower-volume zone (yellow box) is currently supporting prices, which remain above the upward trendline without breaking it. Another key signal is the shape this broad range—starting in June—is taking: the lows recorded in early August and September are both rising, with neither having broken the previous low so far.


DAX Index Seasonality Statistics

Dax Index Seasonality
DAX Index Germany - Normalized Seasonality Pattern

You can see in this chart the seasonal trends of the DAX Index, with prices normalized on our dashboard (this method helps eliminate statistical distortions caused by extreme or unusual price years).

We can highlight three key observations:


1)  Seasonality vs. 2025 Price Action

The DAX’s sideways movement since June is consistent with the average seasonal pattern calculated by our dashboard. (Remember, this pattern is generated from the start of the year—the software does not use 2025 price data when producing its statistics.)


Dax Index Seasonality Trading Forecast
Dax Seasonality (dorato) vs Dax 2025 (azzurro)


2) The Most Bearish Period for the DAX

Historically, the worst stretch for the DAX runs from September 17 to October 1. Looking at 40 years of data, 60% of years during this period experienced declines, with an average loss of 4.95%. Not a shocking statistic—so it should be taken with caution—but it does indicate a risk-reward skewed toward the downside.




3) The Dax Index Year-End Rally

From October onward, the DAX has historically tended to enter its year-end rally phase. The dashboard scanner examines over 32,000 time windows in a few seconds and shows those that have been most consistent in the past:


Seasonality AI Agent
Seasonality AI Agent

Below is the walk-forward backtest of that window from the 1980s to today: past data, not a result achievable in the future.

Dax Index Backtest Portfolio Dashboard Software Trading

It’s important to note that seasonality reflects an average trend. As a result, these periods can sometimes start a little earlier or later than expected.

How should you handle it? Like any investment technique, it requires knowledge of the right entry strategies and proper contextualization within a broader market cycle—exactly what we teach in our training courses.


Of course, not every year will be an exact copy of another. Understanding these trends helps you read the market through data rather than opinion, which is what backtests show, within their limits. Seasonality is also studied in academic research.


The strength indicators on our dashboard help check whether the seasonal pattern is playing out this year. For now, the overall momentum is still tilted to the downside, but current support levels and volume patterns deserve careful attention.


Dax Index Trading Signals Indicator

The 45-Day Cycle


chart di analisi ciclica su dax index con strumenti e cicli di Gann simili a Timing Solution
Cyclical Analysis Trading Dashbaord

Recently, the DAX has been moving on a cycle of roughly 45 days, with the next turn falling this week.


Time will tell if the statistics hold true this round as well, but it’s worth noting that historically, when the DAX reached mid-September with positive performance, the year-end close saw further gains in nearly 90% of years. This is a descriptive statistic about the past, not a forecast.


Trading Statistics – Tools for Financial Advisors and Portfolio Management
Year Analysis Tool: We asked our system to estimate the probability of further DAX gains when the performance from January 1 to September 15 is positive.


Anyone interested in learning more about these techniques or moving on to using professional-grade tools can reach out to us via chat or email.

Happy trading to everyone!







Disclaimer: The materials provided on this website are for informational, instructional, and educational purposes only and should never be interpreted as investment advice, financial guidance, or any form of recommendation.

Premium Analysis

Analisi 8 Marzo
21:23
Analisi 2 Marzo
23:06
Analisi 17 Febbraio
28:51
Analisi 8 Febbraio
20:26
Analisi 31 Gennaio
27:57
Analisi 25 Gennaio
22:27
Analisi 18 Gennaio
22:36
Analisi 11 Gennaio
42:54
Onda digitale astratta

Contact us

Type of request
Dashboard
Courses
Other
General Enquiries:
Technical Support: 

DISCLAIMER

 

The materials provided on this website are for informational and educational purposes only and should not be construed as investment advice, financial guidance, or any form of recommendation. The information contained on this website does not constitute a solicitation, offer, or recommendation to buy or sell any security, financial instrument, or asset to any person or entity in any jurisdiction. Users are solely responsible for their investment decisions. ​Trading and investing in financial markets involve substantial risk, including the potential loss of your entire investment. Past performance is not indicative of future results, and there is no guarantee that the information, analyses, or strategies provided on this website will result in profitable trading or investment outcomes. Market conditions, economic factors, and individual circumstances can all influence investment results, and these can vary widely. Additionally, the generated statistics are based on market data obtained from third-party providers. Stockstatistics.ai is committed to sourcing data from the best providers; however, it cannot be held responsible for any errors in the data provided. ​Stockstatistics.ai and operators disclaim any and all liability for any direct or indirect loss or damage arising out of or in connection with the use of this website or any materials contained herein. This includes, but is not limited to, any loss of profit or any other financial loss, which may arise from reliance on information provided on this website. Investing in financial markets requires careful consideration and should only be undertaken after fully understanding the associated risks. This disclaimer is subject to change, and it is the responsibility of the user to review it periodically for any updates.

​

​

COPYRIGHT NOTICE

​

All materials, information, analyses, graphics, and content on this website are protected by copyright and other intellectual property laws. Any form of copying, reproduction, distribution, publication, modification, use, or exploitation, even in part, of the content on this website is strictly prohibited without the express written consent of the website owner. ​The service is intended exclusively for subscribed and authorized users. Sharing, distributing, or making the service content accessible to third parties in any form or medium is strictly prohibited. Any violation will be prosecuted under applicable laws, including but not limited to civil and criminal laws concerning copyright and intellectual property protection. ​By using this website, the user agrees to and is bound by these terms.

​​​

Copyright © ​2026 by​ StockStatistics.ai
All rights reserved.

​

​

​

​​​


www.stockstatistics.ai

​

​​

​​

bottom of page