Megatrend Returns

Returns as of 31 October 2024
Currency: USD

On this page, we present the key metrics of the main Megatrends. The calculations are in USD currency over recent years.

The best performing in the last 1 Year is Global E-Commerce, that granted a +57.12% annualized return.

The worst is Self-Driving EV and Tech, with a -3.07% annualized return in the last 1 Year.

Each asset presented here is carefully evaluated. Please research and study in depth if you want to include it in your portfolio.

By exploring these metrics, you can gain insights into performance trends, volatility, and other crucial factors that can help you build a well-diversified and efficient investment strategy. Whether you are a seasoned investor or just starting, this information aims to support your decision-making process in constructing a robust lazy portfolio.

Metrics as of 31 October 2024

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

MEGATRENDS - USD CURRENCY
Return - Risk - Drawdown
Last Update as of 31 October 2024
Highlighted values indicate returns lower than the US Inflation recorded in the same period. US Inflation is updated to Oct 2024. Inflation (annualized) is 1Y: 2.58% , 3Y: 4.50% , 5Y: 4.17% , 10Y: 2.88%
Returns over 1 year are annualized. Last update: 31 October 2024.
Risk is represented as the annualized Standard Deviation of monthly returns.
High values of Standard Deviation mean high fluctuations in prices.
Last update: 31 October 2024.
The maximum Drawdown is calculated considering the end of month prices.
Low Risk Assets usually grant less severe drawdowns.
Last update: 31 October 2024.
Highlighted values indicate returns lower than the US Inflation recorded in the same period. US Inflation is updated to Oct 2024. 2024: 2.17%, 2023: 3.32%, 2022: 6.41%, 2021: 7.18%
Last update: 31 October 2024.
Swipe left to see all data
USD
Return (%) - Oct 31, 2024
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 2024 2023 2022 2021 2020 2019 2018 2017
EBIZ
Global E-Commerce
-3.13
10.51
16.79
57.12
-4.85
9.11
-
 23.87 30.60 30.03 - 2.39 -0.16 0.30 - -51.17 -56.66 - -0.09 0.16 - 34.80 32.56 -
25.83
30.88
-40.96
-13.27
74.37
32.76
-11.01
-
METV
Metaverse
-0.82
2.77
12.72
43.34
-4.34
-
-
 17.31 29.25 - - 2.50 -0.15 - - -55.37 - - -0.08 - - 35.66 - -
16.25
60.57
-52.66
0.40
-
-
-
-
BOTZ
Robotics and Artificial Intelligence
-1.21
3.12
6.44
39.70
-5.36
9.09
-
 18.93 28.66 25.83 - 2.10 -0.19 0.35 - -51.91 -51.91 - -0.10 0.18 - 30.16 23.63 -
11.59
38.97
-42.69
8.65
51.92
31.79
-28.35
58.01
QQQ
[Benchmark] US Nasdaq
-0.86
2.86
14.30
38.85
8.53
20.43
17.85
 13.93 21.83 21.34 18.48 2.79 0.39 0.96 0.97 -32.58 -32.58 -32.58 0.26 0.63 0.55 15.79 12.53 9.41
18.66
54.85
-32.58
27.42
48.40
38.96
-0.12
32.66
HACK
Cyber Security
1.52
7.81
12.58
36.32
1.95
12.77
-
 15.52 19.17 20.99 - 2.34 0.10 0.61 - -33.99 -33.99 - 0.06 0.38 - 20.05 15.91 -
14.84
37.44
-28.15
7.00
41.33
23.39
6.61
19.68
IFRA
US Infrastructure
-0.15
2.10
12.10
36.09
11.23
13.36
-
 16.36 20.16 21.15 - 2.21 0.56 0.63 - -16.45 -28.74 - 0.68 0.46 - 5.34 7.78 -
18.00
13.43
-3.31
29.81
7.35
27.00
-
-
EMQQ
Emerging Markets E-Commerce
-2.47
17.01
17.73
35.46
-8.84
3.62
-
 19.49 32.00 30.32 - 1.82 -0.28 0.12 - -54.77 -67.75 - -0.16 0.05 - 36.44 42.68 -
24.12
3.63
-30.70
-32.53
80.46
33.86
-29.82
68.20
BLCN
Blockchain
-0.12
-6.79
1.93
34.87
-19.98
1.69
-
 28.77 29.65 29.36 - 1.21 -0.67 0.06 - -62.01 -62.01 - -0.32 0.03 - 47.92 37.43 -
2.94
21.10
-51.76
4.86
60.55
33.95
-20.31
-
IDNA
Genomics Immunology and Healthcare
-1.97
-2.70
7.31
34.78
-20.73
0.62
-
 21.62 24.92 26.33 - 1.61 -0.83 0.02 - -63.04 -65.91 - -0.33 0.01 - 46.32 39.15 -
5.35
-7.61
-42.27
-3.99
64.73
10.77
-
-
IGF
Global Infrastructure
-1.29
7.31
15.50
32.20
7.01
5.57
5.26
 13.36 16.70 18.97 15.27 2.41 0.42 0.29 0.34 -17.00 -29.59 -29.59 0.41 0.19 0.18 6.08 9.50 7.92
16.14
6.17
-1.23
11.58
-6.50
25.81
-9.94
19.34
CGW
Global Water
-5.49
-2.77
5.55
29.56
0.86
9.52
9.23
 17.22 21.17 19.97 16.23 1.72 0.04 0.48 0.57 -32.28 -32.28 -32.28 0.03 0.29 0.29 16.02 13.10 9.73
9.11
15.51
-21.99
31.71
15.42
34.04
-10.42
27.08
SNSR
Internet Of Things
-1.90
-2.99
-1.73
21.34
-2.94
10.33
-
 19.55 25.04 24.35 - 1.09 -0.12 0.42 - -36.31 -36.31 - -0.08 0.28 - 18.14 14.55 -
-3.29
23.05
-25.51
23.66
35.05
47.91
-17.67
28.59
XT
Exponential Techonologies
-3.58
-0.88
5.50
20.33
-2.78
8.84
-
 18.11 21.28 20.44 - 1.12 -0.13 0.43 - -32.25 -32.25 - -0.09 0.27 - 17.42 13.80 -
-1.69
27.03
-27.82
16.43
35.09
30.73
-4.88
33.71
EMIF
Emerging Markets Infrastructure
-4.69
2.71
1.35
17.49
-0.33
-3.33
-1.88
 12.05 17.61 21.41 18.50 1.45 -0.02 -0.16 -0.10 -21.45 -37.28 -39.25 -0.02 -0.09 -0.05 9.55 24.03 21.06
4.24
5.71
-12.57
3.72
-19.97
16.32
-13.69
20.71
ICLN
Global Clean Energy
-10.82
-7.42
-0.34
2.16
-18.71
5.35
4.26
 28.20 28.60 33.37 27.05 0.08 -0.65 0.16 0.16 -47.41 -55.16 -55.16 -0.39 0.10 0.08 31.11 32.63 27.32
-15.31
-20.38
-5.41
-24.19
141.80
44.35
-9.02
21.48
IDRV
Self-Driving EV and Tech
-7.02
0.65
1.01
-3.07
-15.79
4.91
-
 26.41 31.66 30.37 - -0.12 -0.50 0.16 - -44.85 -44.85 - -0.35 0.11 - 31.43 24.71 -
-16.23
7.87
-36.57
27.00
61.90
9.14
-
-
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.
Readings that may interest you

Correlations as of 31 October 2024

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 31 October 2024
Swipe left to see all data
QQQ
IDNA
IDRV
XT
BOTZ
HACK
IGF
IFRA
EMIF
ICLN
SNSR
CGW
BLCN
EBIZ
EMQQ
METV
QQQ
 - 0.65 0.45 0.86 0.85 0.72 0.40 0.27 0.48 0.43 0.79 0.47 0.72 0.70 0.28 0.92
IDNA
 0.65 - 0.73 0.89 0.86 0.49 0.66 0.78 0.64 0.76 0.87 0.85 0.85 0.70 0.18 0.77
IDRV
 0.45 0.73 - 0.76 0.62 0.16 0.73 0.76 0.83 0.83 0.67 0.78 0.61 0.84 0.67 0.65
XT
 0.86 0.89 0.76 - 0.93 0.64 0.71 0.63 0.74 0.73 0.94 0.79 0.83 0.85 0.44 0.93
BOTZ
 0.85 0.86 0.62 0.93 - 0.70 0.60 0.55 0.69 0.57 0.92 0.72 0.83 0.85 0.39 0.90
HACK
 0.72 0.49 0.16 0.64 0.70 - 0.07 -0.03 0.23 0.01 0.56 0.18 0.51 0.46 0.03 0.71
IGF
 0.40 0.66 0.73 0.71 0.60 0.07 - 0.76 0.78 0.90 0.69 0.87 0.46 0.64 0.63 0.47
IFRA
 0.27 0.78 0.76 0.63 0.55 -0.03 0.76 - 0.63 0.81 0.62 0.89 0.71 0.63 0.32 0.48
EMIF
 0.48 0.64 0.83 0.74 0.69 0.23 0.78 0.63 - 0.80 0.72 0.80 0.49 0.82 0.75 0.62
ICLN
 0.43 0.76 0.83 0.73 0.57 0.01 0.90 0.81 0.80 - 0.69 0.89 0.54 0.61 0.48 0.50
SNSR
 0.79 0.87 0.67 0.94 0.92 0.56 0.69 0.62 0.72 0.69 - 0.77 0.85 0.78 0.39 0.87
CGW
 0.47 0.85 0.78 0.79 0.72 0.18 0.87 0.89 0.80 0.89 0.77 - 0.67 0.74 0.48 0.62
BLCN
 0.72 0.85 0.61 0.83 0.83 0.51 0.46 0.71 0.49 0.54 0.85 0.67 - 0.71 0.12 0.84
EBIZ
 0.70 0.70 0.84 0.85 0.85 0.46 0.64 0.63 0.82 0.61 0.78 0.74 0.71 - 0.73 0.86
EMQQ
 0.28 0.18 0.67 0.44 0.39 0.03 0.63 0.32 0.75 0.48 0.39 0.48 0.12 0.73 - 0.41
METV
 0.92 0.77 0.65 0.93 0.90 0.71 0.47 0.48 0.62 0.50 0.87 0.62 0.84 0.86 0.41 -
QQQ
IDNA
IDRV
XT
BOTZ
HACK
IGF
IFRA
EMIF
ICLN
SNSR
CGW
BLCN
EBIZ
EMQQ
METV
QQQ
 - 0.74 0.72 0.91 0.90 0.74 0.59 0.66 0.44 0.59 0.86 0.78 0.80 0.71 0.34 0.94
IDNA
 0.74 - 0.70 0.84 0.79 0.64 0.59 0.68 0.45 0.74 0.74 0.78 0.81 0.73 0.40 0.74
IDRV
 0.72 0.70 - 0.86 0.76 0.41 0.67 0.79 0.67 0.70 0.82 0.79 0.74 0.83 0.53 0.75
XT
 0.91 0.84 0.86 - 0.94 0.71 0.72 0.79 0.63 0.73 0.95 0.88 0.85 0.83 0.47 0.89
BOTZ
 0.90 0.79 0.76 0.94 - 0.76 0.65 0.74 0.57 0.67 0.93 0.84 0.82 0.77 0.40 0.90
HACK
 0.74 0.64 0.41 0.71 0.76 - 0.35 0.46 0.25 0.38 0.65 0.54 0.63 0.52 0.12 0.71
IGF
 0.59 0.59 0.67 0.72 0.65 0.35 - 0.86 0.81 0.73 0.70 0.82 0.65 0.66 0.48 0.50
IFRA
 0.66 0.68 0.79 0.79 0.74 0.46 0.86 - 0.68 0.72 0.81 0.92 0.75 0.67 0.29 0.59
EMIF
 0.44 0.45 0.67 0.63 0.57 0.25 0.81 0.68 - 0.53 0.61 0.65 0.52 0.69 0.64 0.43
ICLN
 0.59 0.74 0.70 0.73 0.67 0.38 0.73 0.72 0.53 - 0.69 0.71 0.66 0.61 0.45 0.59
SNSR
 0.86 0.74 0.82 0.95 0.93 0.65 0.70 0.81 0.61 0.69 - 0.89 0.79 0.75 0.39 0.83
CGW
 0.78 0.78 0.79 0.88 0.84 0.54 0.82 0.92 0.65 0.71 0.89 - 0.77 0.75 0.39 0.73
BLCN
 0.80 0.81 0.74 0.85 0.82 0.63 0.65 0.75 0.52 0.66 0.79 0.77 - 0.83 0.44 0.83
EBIZ
 0.71 0.73 0.83 0.83 0.77 0.52 0.66 0.67 0.69 0.61 0.75 0.75 0.83 - 0.76 0.80
EMQQ
 0.34 0.40 0.53 0.47 0.40 0.12 0.48 0.29 0.64 0.45 0.39 0.39 0.44 0.76 - 0.48
METV
 0.94 0.74 0.75 0.89 0.90 0.71 0.50 0.59 0.43 0.59 0.83 0.73 0.83 0.80 0.48 -
QQQ
IDNA
IDRV
XT
BOTZ
HACK
IGF
IFRA
EMIF
ICLN
SNSR
CGW
BLCN
EBIZ
EMQQ
METV
QQQ
 - 0.70 0.78 0.91 0.86 0.76 0.63 0.67 0.48 0.62 0.87 0.78 0.81 0.76 0.43 -
IDNA
 0.70 - 0.69 0.80 0.77 0.64 0.49 0.53 0.42 0.67 0.73 0.65 0.69 0.72 0.50 -
IDRV
 0.78 0.69 - 0.89 0.79 0.54 0.70 0.78 0.65 0.74 0.86 0.80 0.78 0.83 0.57 -
XT
 0.91 0.80 0.89 - 0.92 0.76 0.75 0.79 0.66 0.73 0.96 0.88 0.85 0.85 0.54 -
BOTZ
 0.86 0.77 0.79 0.92 - 0.74 0.65 0.70 0.58 0.68 0.90 0.81 0.80 0.80 0.49 -
HACK
 0.76 0.64 0.54 0.76 0.74 - 0.49 0.52 0.39 0.55 0.71 0.61 0.64 0.60 0.29 -
IGF
 0.63 0.49 0.70 0.75 0.65 0.49 - 0.89 0.85 0.64 0.73 0.83 0.64 0.65 0.42 -
IFRA
 0.67 0.53 0.78 0.79 0.70 0.52 0.89 - 0.74 0.62 0.80 0.89 0.73 0.67 0.33 -
EMIF
 0.48 0.42 0.65 0.66 0.58 0.39 0.85 0.74 - 0.50 0.66 0.65 0.51 0.62 0.49 -
ICLN
 0.62 0.67 0.74 0.73 0.68 0.55 0.64 0.62 0.50 - 0.69 0.67 0.65 0.62 0.52 -
SNSR
 0.87 0.73 0.86 0.96 0.90 0.71 0.73 0.80 0.66 0.69 - 0.87 0.80 0.79 0.48 -
CGW
 0.78 0.65 0.80 0.88 0.81 0.61 0.83 0.89 0.65 0.67 0.87 - 0.75 0.72 0.38 -
BLCN
 0.81 0.69 0.78 0.85 0.80 0.64 0.64 0.73 0.51 0.65 0.80 0.75 - 0.84 0.52 -
EBIZ
 0.76 0.72 0.83 0.85 0.80 0.60 0.65 0.67 0.62 0.62 0.79 0.72 0.84 - 0.79 -
EMQQ
 0.43 0.50 0.57 0.54 0.49 0.29 0.42 0.33 0.49 0.52 0.48 0.38 0.52 0.79 - -
METV
 - - - - - - - - - - - - - - - -
QQQ
IDNA
IDRV
XT
BOTZ
HACK
IGF
IFRA
EMIF
ICLN
SNSR
CGW
BLCN
EBIZ
EMQQ
METV
QQQ
 - - - - - - 0.60 - 0.48 0.59 - 0.75 - - - -
IDNA
 - - - - - - - - - - - - - - - -
IDRV
 - - - - - - - - - - - - - - - -
XT
 - - - - - - - - - - - - - - - -
BOTZ
 - - - - - - - - - - - - - - - -
HACK
 - - - - - - - - - - - - - - - -
IGF
 0.60 - - - - - - - 0.81 0.64 - 0.82 - - - -
IFRA
 - - - - - - - - - - - - - - - -
EMIF
 0.48 - - - - - 0.81 - - 0.56 - 0.65 - - - -
ICLN
 0.59 - - - - - 0.64 - 0.56 - - 0.67 - - - -
SNSR
 - - - - - - - - - - - - - - - -
CGW
 0.75 - - - - - 0.82 - 0.65 0.67 - - - - - -
BLCN
 - - - - - - - - - - - - - - - -
EBIZ
 - - - - - - - - - - - - - - - -
EMQQ
 - - - - - - - - - - - - - - - -
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: