Megatrend Returns

Returns as of 30 June 2025
Currency: USD

The best performing in the last 1 Year is Cyber Security, that granted a +33.57% annualized return.

The worst is Blockchain, with a -10.56% annualized return in the last 1 Year.

By exploring the following metrics, you can analyze performance trends, volatility, and other key factors to build a well-diversified and efficient investment strategy. Whether you’re an experienced investor or just beginning, this information is designed to support your decision-making process in creating a strong lazy portfolio.

Additionally, you can choose to view data in different currencies to better align with your investment needs.

Metrics as of 30 June 2025

Columns are sortable, Megatrends are pre-ordered by 1Y return.

MEGATRENDS - USD CURRENCY
Return - Risk - Drawdown
Last Update as of 30 June 2025
Highlighted values indicate returns lower than the US Inflation recorded in the same period. US Inflation is updated to May 2025. Pending updates, the monthly inflation is set at 0% for the subsequent periods. Inflation (annualized) is 1Y: 2.43% , 3Y: 2.82% , 5Y: 4.53% , 10Y: 3.04%
Returns over 1 year are annualized. Last update: 30 June 2025.
Risk is represented as the annualized Standard Deviation of monthly returns.
High values of Standard Deviation mean high fluctuations in prices.
Last update: 30 June 2025.
The maximum Drawdown is calculated considering the end of month prices.
Low Risk Assets usually grant less severe drawdowns.
Last update: 30 June 2025.
Highlighted values indicate returns lower than the US Inflation recorded in the same period. US Inflation is updated to May 2025. Pending updates, the monthly inflation is set at 0% for the subsequent periods. 2025: 0.94%, 2024: 2.90%, 2023: 3.32%, 2022: 6.41%
Last update: 30 June 2025.
Swipe left to see all data
Return (%) - Jun 30, 2025
St.Dev. (%)
Ann. Return / St.Dev.
Max Drawdown (%)
Return / Drawdown
Ulcer Index
YTD(%)
Yearly Returns (%)
Ticker Asset 1M 3M 6M 1Y ▾ 3Y 5Y 10Y 1Y 3Y 5Y 10Y 1Y 3Y 5Y 10Y 3Y 5Y 10Y 3Y 5Y 10Y 3Y 5Y 10Y 2025 2024 2023 2022 2021 2020 2019 2018
HACK
Cyber Security
5.54
20.29
15.95
33.57
23.75
14.40
11.06
 14.69 16.87 19.77 19.68 2.29 1.41 0.73 0.56 -9.89 -33.99 -33.99 2.40 0.42 0.33 3.76 15.82 13.92
15.95
23.49
37.44
-28.15
7.00
41.33
23.39
6.61
METV
Metaverse
9.24
26.24
18.43
30.50
28.58
-
-
 20.00 25.45 - - 1.52 1.12 - - -20.07 - - 1.42 - - 7.33 - -
18.43
24.93
60.57
-52.66
0.40
-
-
-
EBIZ
Global E-Commerce
3.10
7.53
10.66
29.35
22.48
5.73
-
 19.06 28.61 27.14 - 1.54 0.79 0.21 - -18.57 -56.66 - 1.21 0.10 - 7.40 33.00 -
10.66
31.26
30.88
-40.96
-13.27
74.37
32.76
-11.01
EMQQ
Emerging Markets E-Commerce
6.57
9.20
20.85
27.66
9.43
-1.89
5.59
 17.99 30.26 28.40 27.01 1.54 0.31 -0.07 0.21 -29.38 -67.75 -67.75 0.32 -0.03 0.08 9.84 45.76 34.49
20.85
13.79
3.63
-30.70
-32.53
80.46
33.86
-29.82
IGF
Global Infrastructure
2.03
10.11
15.16
27.65
11.63
12.34
7.02
 9.20 15.36 14.98 15.32 3.01 0.76 0.82 0.46 -13.56 -17.00 -29.59 0.86 0.73 0.24 4.48 4.86 7.43
15.16
14.81
6.13
-1.23
11.58
-6.50
25.81
-9.94
IFRA
US Infrastructure
3.37
9.56
7.29
19.10
15.39
18.04
-
 18.25 19.79 19.15 - 1.05 0.78 0.94 - -13.07 -16.45 - 1.18 1.10 - 5.67 5.23 -
7.29
17.02
13.41
-3.31
29.81
7.35
27.00
-
EMIF
Emerging Markets Infrastructure
5.14
15.38
17.16
16.68
6.65
5.49
-0.35
 11.09 15.82 17.04 18.22 1.50 0.42 0.32 -0.02 -14.23 -22.13 -39.25 0.47 0.25 -0.01 5.52 8.40 20.90
17.16
1.21
5.68
-12.57
3.72
-19.97
16.32
-13.69
QQQ
[Benchmark] US Nasdaq
6.39
17.77
8.19
15.79
26.14
18.07
18.71
 14.70 19.43 20.50 18.75 1.07 1.35 0.88 1.00 -15.23 -32.58 -32.58 1.72 0.55 0.57 5.40 12.52 9.48
8.19
25.58
54.86
-32.58
27.42
48.40
38.96
-0.12
CGW
Global Water
2.39
12.23
15.31
15.59
14.27
12.69
9.99
 13.74 19.13 18.59 16.44 1.13 0.75 0.68 0.61 -16.12 -32.28 -32.28 0.89 0.39 0.31 5.44 12.67 9.75
15.31
4.55
15.50
-21.99
31.71
15.42
34.04
-10.42
XT
Exponential Techonologies
6.92
13.74
9.73
11.70
11.47
8.67
-
 13.15 19.85 19.18 - 0.89 0.58 0.45 - -16.15 -32.25 - 0.71 0.27 - 5.34 13.84 -
9.73
0.29
27.03
-27.82
16.43
35.09
30.73
-4.88
IDRV
Self-Driving EV and Tech
2.87
5.69
5.69
9.67
-4.01
3.56
-
 13.53 30.02 28.08 - 0.72 -0.13 0.13 - -36.11 -44.85 - -0.11 0.08 - 24.98 28.79 -
5.69
-16.05
7.84
-36.57
27.00
61.90
9.14
-
BOTZ
Robotics and Artificial Intelligence
5.92
15.00
2.44
6.09
17.35
6.67
-
 17.47 24.64 25.09 - 0.35 0.70 0.27 - -21.86 -51.91 - 0.79 0.13 - 7.69 24.28 -
2.44
12.26
38.97
-42.69
8.65
51.92
31.79
-28.35
SNSR
Internet Of Things
7.08
14.79
8.34
5.86
14.49
9.94
-
 16.62 23.14 22.51 - 0.35 0.63 0.44 - -19.07 -36.31 - 0.76 0.27 - 5.93 14.53 -
8.34
-0.45
23.05
-25.51
23.66
35.05
47.91
-17.67
ICLN
Global Clean Energy
4.57
16.02
16.43
0.44
-10.43
2.21
3.50
 18.66 26.47 31.02 26.89 0.02 -0.39 0.07 0.13 -48.50 -60.77 -60.77 -0.22 0.04 0.06 31.67 38.64 29.18
16.43
-25.72
-20.40
-5.41
-24.19
141.80
44.35
-9.02
IDNA
Genomics Immunology and Healthcare
2.12
0.83
-8.71
-10.22
-10.00
-10.89
-
 15.14 22.65 23.92 - -0.68 -0.44 -0.46 - -42.60 -65.91 - -0.23 -0.17 - 25.34 44.45 -
-8.71
-0.73
-7.63
-42.27
-3.99
64.73
10.77
-
BLCN
Blockchain
8.42
22.07
-8.92
-10.56
-2.26
-3.17
-
 32.48 31.91 31.12 - -0.33 -0.07 -0.10 - -35.09 -62.01 - -0.06 -0.05 - 19.26 41.92 -
-8.92
5.62
21.10
-51.76
4.86
60.55
33.95
-20.31
Return over 1 year are annualized | Gray background returns are below inflation for the same period
For further information about the market seasonality, check the Asset Class Seasonality page.
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Correlations as of 30 June 2025

Monthly correlations are calculated over different timeframes.

If your screen resolution is not wide enough, scroll table horizzontally to explore the full dataset.

MEGATRENDS MONTHLY CORRELATIONS - USD CURRENCY
Last Update as of 30 June 2025
Swipe left to see all data
QQQ
IDNA
IDRV
XT
BOTZ
HACK
IGF
IFRA
EMIF
ICLN
SNSR
CGW
BLCN
EBIZ
EMQQ
METV
QQQ
 - 0.29 0.46 0.89 0.94 0.92 0.29 0.45 0.33 0.22 0.92 0.24 0.76 0.63 0.22 0.97
IDNA
 0.29 - 0.26 0.54 0.54 0.31 0.53 0.72 0.00 0.27 0.35 0.69 0.61 0.30 0.14 0.32
IDRV
 0.46 0.26 - 0.57 0.46 0.22 0.37 0.33 0.57 0.53 0.37 0.44 0.15 0.66 0.66 0.48
XT
 0.89 0.54 0.57 - 0.94 0.81 0.50 0.65 0.37 0.42 0.91 0.52 0.79 0.74 0.38 0.92
BOTZ
 0.94 0.54 0.46 0.94 - 0.91 0.45 0.61 0.25 0.27 0.92 0.39 0.81 0.70 0.31 0.92
HACK
 0.92 0.31 0.22 0.81 0.91 - 0.28 0.37 0.23 0.15 0.85 0.19 0.74 0.55 0.09 0.88
IGF
 0.29 0.53 0.37 0.50 0.45 0.28 - 0.75 0.40 0.73 0.32 0.86 0.51 0.57 0.48 0.36
IFRA
 0.45 0.72 0.33 0.65 0.61 0.37 0.75 - -0.02 0.41 0.53 0.76 0.81 0.65 0.20 0.57
EMIF
 0.33 0.00 0.57 0.37 0.25 0.23 0.40 -0.02 - 0.76 0.14 0.42 0.03 0.25 0.60 0.32
ICLN
 0.22 0.27 0.53 0.42 0.27 0.15 0.73 0.41 0.76 - 0.21 0.79 0.19 0.32 0.46 0.30
SNSR
 0.92 0.35 0.37 0.91 0.92 0.85 0.32 0.53 0.14 0.21 - 0.28 0.76 0.60 0.19 0.91
CGW
 0.24 0.69 0.44 0.52 0.39 0.19 0.86 0.76 0.42 0.79 0.28 - 0.51 0.41 0.31 0.34
BLCN
 0.76 0.61 0.15 0.79 0.81 0.74 0.51 0.81 0.03 0.19 0.76 0.51 - 0.57 0.00 0.82
EBIZ
 0.63 0.30 0.66 0.74 0.70 0.55 0.57 0.65 0.25 0.32 0.60 0.41 0.57 - 0.61 0.72
EMQQ
 0.22 0.14 0.66 0.38 0.31 0.09 0.48 0.20 0.60 0.46 0.19 0.31 0.00 0.61 - 0.25
METV
 0.97 0.32 0.48 0.92 0.92 0.88 0.36 0.57 0.32 0.30 0.91 0.34 0.82 0.72 0.25 -
QQQ
IDNA
IDRV
XT
BOTZ
HACK
IGF
IFRA
EMIF
ICLN
SNSR
CGW
BLCN
EBIZ
EMQQ
METV
QQQ
 - 0.71 0.68 0.90 0.91 0.76 0.58 0.63 0.46 0.60 0.84 0.67 0.79 0.68 0.34 0.94
IDNA
 0.71 - 0.72 0.84 0.79 0.55 0.71 0.77 0.53 0.71 0.75 0.81 0.79 0.70 0.35 0.69
IDRV
 0.68 0.72 - 0.85 0.75 0.41 0.69 0.73 0.70 0.74 0.79 0.76 0.63 0.84 0.57 0.73
XT
 0.90 0.84 0.85 - 0.94 0.71 0.73 0.77 0.64 0.74 0.94 0.82 0.83 0.84 0.51 0.91
BOTZ
 0.91 0.79 0.75 0.94 - 0.74 0.66 0.73 0.57 0.65 0.93 0.77 0.79 0.76 0.41 0.91
HACK
 0.76 0.55 0.41 0.71 0.74 - 0.32 0.44 0.28 0.29 0.67 0.44 0.63 0.47 0.07 0.75
IGF
 0.58 0.71 0.69 0.73 0.66 0.32 - 0.83 0.78 0.80 0.68 0.89 0.66 0.74 0.61 0.59
IFRA
 0.63 0.77 0.73 0.77 0.73 0.44 0.83 - 0.56 0.71 0.78 0.90 0.81 0.74 0.38 0.64
EMIF
 0.46 0.53 0.70 0.64 0.57 0.28 0.78 0.56 - 0.68 0.56 0.65 0.49 0.72 0.74 0.53
ICLN
 0.60 0.71 0.74 0.74 0.65 0.29 0.80 0.71 0.68 - 0.72 0.81 0.58 0.64 0.53 0.63
SNSR
 0.84 0.75 0.79 0.94 0.93 0.67 0.68 0.78 0.56 0.72 - 0.80 0.77 0.74 0.41 0.84
CGW
 0.67 0.81 0.76 0.82 0.77 0.44 0.89 0.90 0.65 0.81 0.80 - 0.72 0.72 0.43 0.66
BLCN
 0.79 0.79 0.63 0.83 0.79 0.63 0.66 0.81 0.49 0.58 0.77 0.72 - 0.77 0.37 0.82
EBIZ
 0.68 0.70 0.84 0.84 0.76 0.47 0.74 0.74 0.72 0.64 0.74 0.72 0.77 - 0.75 0.79
EMQQ
 0.34 0.35 0.57 0.51 0.41 0.07 0.61 0.38 0.74 0.53 0.41 0.43 0.37 0.75 - 0.48
METV
 0.94 0.69 0.73 0.91 0.91 0.75 0.59 0.64 0.53 0.63 0.84 0.66 0.82 0.79 0.48 -
QQQ
IDNA
IDRV
XT
BOTZ
HACK
IGF
IFRA
EMIF
ICLN
SNSR
CGW
BLCN
EBIZ
EMQQ
METV
QQQ
 - 0.67 0.73 0.91 0.87 0.76 0.59 0.64 0.40 0.57 0.86 0.73 0.78 0.71 0.35 -
IDNA
 0.67 - 0.66 0.79 0.76 0.59 0.53 0.57 0.43 0.63 0.70 0.70 0.66 0.67 0.42 -
IDRV
 0.73 0.66 - 0.85 0.75 0.48 0.66 0.71 0.60 0.70 0.81 0.75 0.68 0.80 0.52 -
XT
 0.91 0.79 0.85 - 0.92 0.74 0.72 0.76 0.58 0.67 0.95 0.85 0.82 0.83 0.48 -
BOTZ
 0.87 0.76 0.75 0.92 - 0.72 0.63 0.69 0.53 0.63 0.91 0.78 0.78 0.77 0.42 -
HACK
 0.76 0.59 0.48 0.74 0.72 - 0.41 0.46 0.30 0.50 0.69 0.56 0.63 0.55 0.21 -
IGF
 0.59 0.53 0.66 0.72 0.63 0.41 - 0.84 0.75 0.61 0.69 0.81 0.63 0.64 0.42 -
IFRA
 0.64 0.57 0.71 0.76 0.69 0.46 0.84 - 0.56 0.56 0.77 0.86 0.76 0.65 0.28 -
EMIF
 0.40 0.43 0.60 0.58 0.53 0.30 0.75 0.56 - 0.44 0.55 0.54 0.42 0.57 0.51 -
ICLN
 0.57 0.63 0.70 0.67 0.63 0.50 0.61 0.56 0.44 - 0.62 0.64 0.57 0.57 0.48 -
SNSR
 0.86 0.70 0.81 0.95 0.91 0.69 0.69 0.77 0.55 0.62 - 0.83 0.78 0.76 0.41 -
CGW
 0.73 0.70 0.75 0.85 0.78 0.56 0.81 0.86 0.54 0.64 0.83 - 0.71 0.69 0.36 -
BLCN
 0.78 0.66 0.68 0.82 0.78 0.63 0.63 0.76 0.42 0.57 0.78 0.71 - 0.80 0.42 -
EBIZ
 0.71 0.67 0.80 0.83 0.77 0.55 0.64 0.65 0.57 0.57 0.76 0.69 0.80 - 0.76 -
EMQQ
 0.35 0.42 0.52 0.48 0.42 0.21 0.42 0.28 0.51 0.48 0.41 0.36 0.42 0.76 - -
METV
 - - - - - - - - - - - - - - - -
QQQ
IDNA
IDRV
XT
BOTZ
HACK
IGF
IFRA
EMIF
ICLN
SNSR
CGW
BLCN
EBIZ
EMQQ
METV
QQQ
 - - - - - 0.78 0.60 - 0.48 0.59 - 0.74 - - 0.53 -
IDNA
 - - - - - - - - - - - - - - - -
IDRV
 - - - - - - - - - - - - - - - -
XT
 - - - - - - - - - - - - - - - -
BOTZ
 - - - - - - - - - - - - - - - -
HACK
 0.78 - - - - - 0.48 - 0.42 0.53 - 0.60 - - 0.43 -
IGF
 0.60 - - - - 0.48 - - 0.80 0.65 - 0.83 - - 0.47 -
IFRA
 - - - - - - - - - - - - - - - -
EMIF
 0.48 - - - - 0.42 0.80 - - 0.56 - 0.65 - - 0.55 -
ICLN
 0.59 - - - - 0.53 0.65 - 0.56 - - 0.67 - - 0.56 -
SNSR
 - - - - - - - - - - - - - - - -
CGW
 0.74 - - - - 0.60 0.83 - 0.65 0.67 - - - - 0.49 -
BLCN
 - - - - - - - - - - - - - - - -
EBIZ
 - - - - - - - - - - - - - - - -
EMQQ
 0.53 - - - - 0.43 0.47 - 0.55 0.56 - 0.49 - - - -
METV
 - - - - - - - - - - - - - - - -
Terms and Definitions
Correlation values range between -1 and +1
  • A correlation of +1 indicates that the returns of the two assets move in perfect synchrony; when one asset's returns go up, the other asset's returns also go up by the same percentage, and vice versa. This perfect positive correlation implies that the assets perform similarly in different market conditions.
  • A correlation of -1 indicates a perfect inverse relationship between the returns of the two assets. When one asset's returns go up, the other asset's returns go down by the same percentage. This perfect negative correlation suggests that the assets move in opposite directions, providing a diversification benefit by reducing overall portfolio risk.
  • A correlation of 0 means that there is no linear relationship between the returns of the two assets. The returns of one asset do not predict the returns of the other.

Understanding the correlation coefficient between different assets is crucial for several reasons:

  • Diversification: Knowing the correlation helps investors diversify their portfolios effectively. By selecting assets that have low or negative correlations with each other, investors can reduce overall portfolio risk.
  • Risk Management: It helps in managing risk by understanding how different assets react to market events. High correlation means that asset prices move together, increasing risk, while low correlation means they move independently, reducing risk.
  • Optimizing Returns: Correlation analysis aids in optimizing returns by combining assets that complement each other, potentially enhancing the risk-adjusted returns of the portfolio.
  • Strategic Asset Allocation: It informs strategic asset allocation decisions, helping investors align their portfolios with their risk tolerance and investment goals.

In summary, the correlation coefficient is a vital tool for constructing a balanced and resilient investment portfolio.

You can also focus on more specific Investment Themes, like the following: