Simulation Settings
Period: January 1975 - April 2025 (~50 years)
Consolidated Returns as of 30 April 2025
Live Update available for May 2025
Consolidated Returns as of 30 April 2025
Live Update available for May 2025
Rebalancing: at every Jan 1st
Currency:
USD
Inflation: US
Results
Value Stock Geek Weird Portfolio
1.00$
Initial Capital
May 1995
May 1995
11.85$
Final Capital
April 2025
April 2025
8.59%
Yearly Return
10.97%
Std Deviation
-32.97%
Max Drawdown
29months
Recovery Period
1.00$
Initial Capital
May 1995
May 1995
5.61$
Final Capital
April 2025
April 2025
5.92%
Yearly Return
10.97%
Std Deviation
-34.08%
Max Drawdown
30months
Recovery Period
1.00$
Initial Capital
January 1975
January 1975
194.20$
Final Capital
April 2025
April 2025
11.04%
Yearly Return
10.87%
Std Deviation
-32.97%
Max Drawdown
29months
Recovery Period
1.00$
Initial Capital
January 1975
January 1975
31.46$
Final Capital
April 2025
April 2025
7.09%
Yearly Return
10.87%
Std Deviation
-34.08%
Max Drawdown
30months
Recovery Period
---
1 Day: ---
---
Month: ---
The Value Stock Geek Weird Portfolio can be implemented with 5 ETFs. This portfolio has a very high risk, meaning it can experience significant fluctuations in value. It is suitable for investors with a high risk tolerance who are seeking substantial returns and can withstand large drawdowns.
The portfolio asset allocation is: 60% on the Stock Market, 20% on Fixed Income, 20% on Commodities. In general, bonds are useful for mitigating overall portfolio risk, especially if they are issued by national entities or highly reliable companies. This portfolio has a 20% allocation to bonds, leading to its classification as very high risk.
As of April 2025, in the previous 30 Years, the Value Stock Geek Weird Portfolio obtained a 8.59% compound annual return, with a 10.97% standard deviation. It suffered a maximum drawdown of -32.97% that required 29 months to be recovered.
Disclaimer: The simulations on this website are provided in good faith but should NOT be taken as investment advice. We are not liable for any errors or actions based on this information.
The authors of the website are not affiliated with the portfolio creators, who are the sole owners of their intellectual property. The translation of asset allocations into ETFs is based on the interpretation of LazyPortfolioETF.com and may not exactly reflect the original intent of the portfolio creators.
Content is for informational, educational, illustrative, and entertainment purposes only.
Table of contents
Resources & Extras
The first official book of 
Build wealth
with Lazy Portfolios and Passive Investing
with Lazy Portfolios and Passive Investing
Set your goal
Use top metrics to evaluate
Join the passive investing strategy
Use top metrics to evaluate
Join the passive investing strategy
Exclusive new asset allocations in EUR and USD
Asset Allocation and ETFs
To effectively implement the asset allocation of the Value Stock Geek Weird Portfolio, investors can utilize the following selection of ETFs. These ETFs have been chosen specifically for their ability to represent each asset class within the portfolio and facilitate ease of management.
60% Stocks
20% Fixed Income
20% Commodities
Loading data
Please wait
| Weight (%) |
ETF Ticker |
ETF Currency |
ETF Name | Investment Themes (Orig.Currency) |
|---|---|---|---|---|
| 20.00 |
IJS
|
USD | iShares S&P Small-Cap 600 Value | Equity, U.S., Small Cap, Value (USD) |
| 20.00 |
SCZ
|
USD | iShares MSCI EAFE Small-Cap | Equity, EAFE, Small Cap (USD) |
| 20.00 |
VNQ
|
USD | Vanguard Real Estate | Real Estate, U.S. (USD) |
| 20.00 |
TLT
|
USD | iShares 20+ Year Treasury Bond | Bond, U.S., Long-Term (USD) |
| 20.00 |
GLD
|
USD | SPDR Gold Trust | Commodity, Gold (USD) |
Most of Lazy Portfolios are made of common components (asset classes), very simple and well defined. For a more complete view, find out the most common ETFs you can use to build your portfolio.
Evaluate your portfolio strategy in 7 different currencies
Portfolio and ETF Returns as of Apr 30, 2025
The Value Stock Geek Weird Portfolio guaranteed the following returns.
Returns are calculated in USD, assuming:
- no fees or capital gain taxes.
- rebalancing: at every January 1st. How do returns change with different rebalancing strategies?
- dividend reinvestment, when applicable.
VALUE STOCK GEEK WEIRD PORTFOLIO
1 January 1975 - 30 April 2025 (~50 years)
Live Update: May 2025
Swipe left to see all data
| Chg (%) | Return (%) | Return (%) as of Apr 30, 2025 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 Day | Time ET(*) | --- |
YTD (4M) |
1M | 6M | 1Y | 5Y | 10Y | 30Y |
MAX (~50Y) |
|||
| Investment Return | --- | --- | 4.69 | 0.42 | 1.94 | 15.09 | 6.49 | 5.75 | 8.59 | 11.04 | |||
| Components | |||||||||||||
|
IJS
|
USD | iShares S&P Small-Cap 600 Value | --- | --- | --- | -15.15 | -5.81 | -12.47 | -2.66 | 11.75 | 6.27 | 9.73 | 14.73 |
|
SCZ
|
USD | iShares MSCI EAFE Small-Cap | --- | --- | --- | 9.47 | 4.67 | 6.87 | 12.45 | 9.05 | 5.33 | 6.72 | 10.45 |
|
VNQ
|
USD | Vanguard Real Estate | --- | --- | --- | 0.18 | -2.44 | -4.30 | 15.55 | 7.01 | 5.21 | 9.24 | 11.82 |
|
TLT
|
USD | iShares 20+ Year Treasury Bond | --- | --- | --- | 3.51 | -1.36 | -1.17 | 5.65 | -9.37 | -0.88 | 5.01 | 7.04 |
|
GLD
|
USD | SPDR Gold Trust | --- | --- | --- | 25.46 | 5.42 | 19.83 | 43.38 | 13.85 | 10.35 | 7.06 | 5.69 |
| Returns over 1 year are annualized | |||||||||||||
| (*) Eastern Time (ET - America/New York) | |||||||||||||
| The live monthly return is calculated by assuming, for each asset, the weight defined by the base asset allocation. | |||||||||||||
In 2024, the Value Stock Geek Weird Portfolio granted a 2.69% dividend yield. If you are interested in getting periodic income, please refer to the Value Stock Geek Weird Portfolio: Dividend Yield page.
Capital Growth as of Apr 30, 2025
An investment of 1$, from May 1995 to April 2025,
would be worth 11.85$, with a total return of 1084.56% (8.59% annualized).
The Inflation Adjusted Capital would be 5.61$, with a net total return of 461.22% (5.92% annualized).
The Inflation Adjusted Capital would be 5.61$, with a net total return of 461.22% (5.92% annualized).
Loading data
Please wait
An investment of 1$, from January 1975 to April 2025,
would be worth 194.20$, with a total return of 19319.96% (11.04% annualized).
The Inflation Adjusted Capital would be 31.46$, with a net total return of 3045.71% (7.09% annualized).
The Inflation Adjusted Capital would be 31.46$, with a net total return of 3045.71% (7.09% annualized).
Loading data
Please wait
Portfolio Metrics as of Apr 30, 2025
Metrics of Value Stock Geek Weird Portfolio, updated as of 30 April 2025, provide a comprehensive overview of the portfolio's performance and risk characteristics.
These metrics include detailed data on returns, volatility, drawdowns and other key performance indicators. By examining them, you can gain insights into how the portfolio has performed over various time periods and understand its risk profile.
Metrics are calculated based on monthly returns, assuming:
- no fees or capital gain taxes.
- rebalancing: at every January 1st. How do returns change with different rebalancing strategies?
- dividend reinvestment, when applicable.
VALUE STOCK GEEK WEIRD PORTFOLIO
Advanced Metrics
1 January 1975 - 30 April 2025 (~50 years)
Swipe left to see all data
| Metrics as of Apr 30, 2025 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
YTD
(4M) |
1M | 3M | 6M | 1Y | 3Y | 5Y | 10Y | 20Y | 30Y |
MAX
(~50Y) |
|
| Investment Return (%) | 4.69 | 0.42 | 1.92 | 1.94 | 15.09 | 3.91 | 6.49 | 5.75 | 7.86 | 8.59 | 11.04 |
| Growth of 1$ | 1.05 | 1.00 | 1.02 | 1.02 | 1.15 | 1.12 | 1.37 | 1.75 | 4.54 | 11.85 | 194.20 |
| US Inflation (%) | 0.86 | 0.22 | 0.39 | 1.57 | 2.30 | 3.53 | 4.58 | 3.10 | 2.55 | 2.52 | 3.68 |
| Returns / Inflation rates over 1 year are annualized. | |||||||||||
|
DRAWDOWN
|
Current | 1Y | 3Y | 5Y | 10Y | 20Y | 30Y | MAX | |||
| Deepest Drawdown Depth (%) | -0.70 | -5.15 | -15.93 | -24.18 | -24.18 | -32.97 | -32.97 | -32.97 | |||
| Start to Recovery (# months) | 5* | 5* | 20 | 33 | 33 | 29 | 29 | 29 | |||
| Start (yyyy mm) | 2024 12 | 2022 05 | 2022 01 | 2022 01 | 2007 11 | 2007 11 | 2007 11 | ||||
| Start to Bottom (# months) | 1 | 5 | 9 | 9 | 16 | 16 | 16 | ||||
| Bottom (yyyy mm) | 2024 12 | 2022 09 | 2022 09 | 2022 09 | 2009 02 | 2009 02 | 2009 02 | ||||
| Bottom to End (# months) | 4 | 15 | 24 | 24 | 13 | 13 | 13 | ||||
| End (yyyy mm) | - | 2023 12 | 2024 09 | 2024 09 | 2010 03 | 2010 03 | 2010 03 | ||||
| Longest Drawdown Depth (%) |
same |
same |
same |
same |
-24.18 | -24.18 | -24.18 | ||||
| Start to Recovery (# months) | 33 | 33 | 33 | ||||||||
| Start (yyyy mm) | 2024 12 | 2022 05 | 2022 01 | 2022 01 | 2022 01 | 2022 01 | 2022 01 | ||||
| Start to Bottom (# months) | 1 | 5 | 9 | 9 | 9 | 9 | 9 | ||||
| Bottom (yyyy mm) | 2024 12 | 2022 09 | 2022 09 | 2022 09 | 2022 09 | 2022 09 | 2022 09 | ||||
| Bottom to End (# months) | 4 | 15 | 24 | 24 | 24 | 24 | 24 | ||||
| End (yyyy mm) | - | 2023 12 | 2024 09 | 2024 09 | 2024 09 | 2024 09 | 2024 09 | ||||
| Longest negative period (# months) | 7* | 24 | 41 | 47 | 47 | 47 | 47 | ||||
| Start (yyyy mm) | 2024 10 | 2022 05 | 2021 08 | 2019 12 | 2019 12 | 2019 12 | 2019 12 | ||||
| End (yyyy mm) | 2025 04 | 2024 04 | 2024 12 | 2023 10 | 2023 10 | 2023 10 | 2023 10 | ||||
| Annualized Return (%) | -0.65 | -1.27 | -0.02 | 0.00 | 0.00 | 0.00 | 0.00 | ||||
| Drawdowns / Negative periods marked with * are in progress | |||||||||||
| Deepest Drawdown Depth (%) | -12.17 | -5.74 | -19.04 | -29.66 | -29.66 | -34.08 | -34.08 | -34.08 | |||
| Start to Recovery (# months) | 44* | 7* | 28 | 44* | 44* | 30 | 30 | 30 | |||
| Start (yyyy mm) | 2024 10 | 2022 05 | 2021 09 | 2021 09 | 2007 11 | 2007 11 | 2007 11 | ||||
| Start to Bottom (# months) | 3 | 18 | 26 | 26 | 16 | 16 | 16 | ||||
| Bottom (yyyy mm) | 2024 12 | 2023 10 | 2023 10 | 2023 10 | 2009 02 | 2009 02 | 2009 02 | ||||
| Bottom to End (# months) | 4 | 10 | 18 | 18 | 14 | 14 | 14 | ||||
| End (yyyy mm) | - | 2024 08 | - | - | 2010 04 | 2010 04 | 2010 04 | ||||
| Longest Drawdown Depth (%) |
same |
same |
same |
same |
-29.66 | -29.66 | -29.66 | ||||
| Start to Recovery (# months) | 44* | 44* | 44* | ||||||||
| Start (yyyy mm) | 2024 10 | 2022 05 | 2021 09 | 2021 09 | 2021 09 | 2021 09 | 2021 09 | ||||
| Start to Bottom (# months) | 3 | 18 | 26 | 26 | 26 | 26 | 26 | ||||
| Bottom (yyyy mm) | 2024 12 | 2023 10 | 2023 10 | 2023 10 | 2023 10 | 2023 10 | 2023 10 | ||||
| Bottom to End (# months) | 4 | 10 | 18 | 18 | 18 | 18 | 18 | ||||
| End (yyyy mm) | - | 2024 08 | - | - | - | - | - | ||||
| Longest negative period (# months) | 7* | 33 | 55 | 90 | 90 | 90 | 90 | ||||
| Start (yyyy mm) | 2024 10 | 2022 05 | 2020 09 | 2016 05 | 2016 05 | 2016 05 | 2016 05 | ||||
| End (yyyy mm) | 2025 04 | 2025 01 | 2025 03 | 2023 10 | 2023 10 | 2023 10 | 2023 10 | ||||
| Annualized Return (%) | -3.67 | -0.15 | 0.00 | -0.04 | -0.04 | -0.04 | -0.04 | ||||
| Drawdowns / Negative periods marked with * are in progress | |||||||||||
|
RISK INDICATORS
|
1Y | 3Y | 5Y | 10Y | 20Y | 30Y | MAX | ||||
| Standard Deviation (%) | 10.08 | 15.12 | 13.46 | 11.64 | 12.06 | 10.97 | 10.87 | ||||
| Sharpe Ratio | 1.02 | -0.03 | 0.29 | 0.34 | 0.53 | 0.58 | 0.62 | ||||
| Sortino Ratio | 1.36 | -0.04 | 0.41 | 0.47 | 0.70 | 0.76 | 0.84 | ||||
| Ulcer Index | 1.80 | 6.01 | 10.10 | 7.56 | 7.67 | 6.63 | 5.72 | ||||
| Ratio: Return / Standard Deviation | 1.50 | 0.26 | 0.48 | 0.49 | 0.65 | 0.78 | 1.02 | ||||
| Ratio: Return / Deepest Drawdown | 2.93 | 0.25 | 0.27 | 0.24 | 0.24 | 0.26 | 0.33 | ||||
| Positive Months (%) | 75.00 | 58.33 | 61.66 | 65.00 | 65.41 | 65.27 | 65.89 | ||||
| Positive Months | 9 | 21 | 37 | 78 | 157 | 235 | 398 | ||||
| Negative Months | 3 | 15 | 23 | 42 | 83 | 125 | 206 | ||||
|
LONG TERM RETURNS
|
1Y | 3Y | 5Y | 10Y | 20Y | 30Y | MAX | ||||
| Best 10 Years Return (%) - Annualized | 5.75 | 12.07 | 13.87 | 20.34 | |||||||
| Worst 10 Years Return (%) - Annualized | 4.21 | 4.21 | 4.21 | ||||||||
| Best 10 Years Return (%) - Annualized | 2.58 | 10.13 | 11.24 | 12.84 | |||||||
| Worst 10 Years Return (%) - Annualized | 1.38 | 1.38 | 1.38 | ||||||||
|
TIMEFRAMES
|
1M | 3M | 6M | 1Y | 3Y | 5Y | 10Y | 20Y | 30Y | MAX | |
| ··· As of Apr 2025 - Over the previous 30Y | |||||||||||
| Best Rolling Return (%) - Annualized | 46.29 | 26.63 | 20.26 | 13.87 | 10.77 | 8.59 | |||||
| Worst Rolling Return (%) - Annualized | -29.40 | -6.05 | 2.09 | 4.21 | 7.61 | ||||||
| Positive Periods (%) | 84.8 | 95.6 | 100.0 | 100.0 | 100.0 | 100.0 | |||||
| Best Rolling Return (%) - Annualized | 43.56 | 23.64 | 16.85 | 11.24 | 8.35 | 5.92 | |||||
| Worst Rolling Return (%) - Annualized | -29.41 | -8.05 | -1.60 | 1.38 | 4.92 | ||||||
| Positive Periods (%) | 78.2 | 84.3 | 97.0 | 100.0 | 100.0 | 100.0 | |||||
| 95% VaR - Value at Risk (%) - Cumulative | 4.47 | 6.80 | 8.32 | 10.45 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| 95% CVaR - Conditional Value at Risk (%) | 5.78 | 9.08 | 11.54 | 19.22 | 5.51 | 0.00 | 0.00 | 0.00 | |||
| 99% VaR - Value at Risk (%) - Cumulative | 6.63 | 10.54 | 13.61 | 26.22 | 10.53 | 0.00 | 0.00 | 0.00 | |||
| 99% CVaR - Conditional Value at Risk (%) | 8.00 | 12.92 | 16.97 | 28.27 | 16.60 | 0.00 | 0.00 | 0.00 | |||
| Short term VaRs: analytical | 1+ year VaRs: historical data | |||||||||||
| Safe Withdrawal Rate (%) | 83.85 | 27.31 | 19.37 | 11.22 | 8.37 | 7.54 | |||||
| Perpetual Withdrawal Rate (%) | --- | --- | --- | 1.59 | 5.39 | 6.20 | |||||
| % based on initial capital, inflation-adj. monthly withdrawals afterwards | Credits: BestRetirementPortfolio.com | |||||||||||
| ··· All available data (Jan 1975 - Apr 2025) | |||||||||||
| Best Rolling Return (%) - Annualized | 55.54 | 30.06 | 26.51 | 20.34 | 14.78 | 13.34 | |||||
| Worst Rolling Return (%) - Annualized | -29.40 | -6.05 | 2.09 | 4.21 | 7.38 | 7.65 | |||||
| Positive Periods (%) | 85.6 | 97.5 | 100.0 | 100.0 | 100.0 | 100.0 | |||||
| Best Rolling Return (%) - Annualized | 51.78 | 26.25 | 22.66 | 12.84 | 8.92 | 8.70 | |||||
| Worst Rolling Return (%) - Annualized | -29.41 | -8.05 | -1.60 | 1.38 | 4.42 | 5.00 | |||||
| Positive Periods (%) | 77.9 | 87.6 | 98.3 | 100.0 | 100.0 | 100.0 | |||||
| 95% VaR - Value at Risk (%) - Cumulative | 4.23 | 6.16 | 7.08 | 8.02 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 95% CVaR - Conditional Value at Risk (%) | 5.54 | 8.41 | 10.27 | 15.36 | 2.56 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 99% VaR - Value at Risk (%) - Cumulative | 6.37 | 9.86 | 12.32 | 21.18 | 4.93 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| 99% CVaR - Conditional Value at Risk (%) | 7.73 | 12.22 | 15.65 | 25.97 | 11.85 | 0.00 | 0.00 | 0.00 | 0.00 | ||
| Short term VaRs: analytical | 1+ year VaRs: historical data | |||||||||||
| Safe Withdrawal Rate (%) | 83.85 | 27.31 | 19.30 | 10.91 | 6.85 | 5.87 | |||||
| Perpetual Withdrawal Rate (%) | --- | --- | --- | 1.59 | 4.44 | 4.89 | |||||
| % based on initial capital, inflation-adj. monthly withdrawals afterwards | Credits: BestRetirementPortfolio.com | |||||||||||
- Annualized Portfolio Return: it's the annualized geometric mean return of the portfolio.
- Deepest/Longest Drawdown: a drawdown refers to the decline in value from a relative peak value to a relative trough. The deepest (or maximum) drawdown is the maximum observed loss from a peak to a trough of a portfolio before a new peak is attained. The longest drawdown is the period observed from a peak to the subsequent peak with the greatest duration.
- Longest negative period: it's the maximum period for which an overall negative return has been observed.
- Standard Deviation: it's a measure of the dispersion of returns around the mean.
- Sharpe Ratio: it's a measure of risk-adjusted performance of the portfolio. It's calculated by dividing the excess return of the portfolio over the risk-free rate by the portfolio standard deviation. The risk-free rate here considered is the 1-3 Mth T-Bill return.
- Sortino Ratio: another measure of risk-adjusted performance of the portfolio. It's a modification of the Sharpe Ratio (same formula but the denominator is the portfolio downside standard deviation).
- Ulcer Index: it's a measure of downside risk that quantifies the depth and duration of drawdowns in an investment portfolio.
- Best/Worst 10Y returns: the best and the worst 10-year return over a time frame.
- Rolling Returns: N-year returns over a time frame, calculated over all the available data source (best, worst, % of positive returns). Each rolling period, longer than the longest negative period, yielded a non-negative minimum return.
- Value at Risk (VaR): it's an evaluation of a cumulative worst-case loss (in absolute value), associated with a probability (95%-99%) and a time horizon. For short term, it's calculated based on the expected return and standard deviation, assuming a normal distribution of monthly returns. For long term is retrieved by the historical rolling return data.
- Conditional Value at Risk (CVaR): it represents the average expected loss if that worst-case threshold (95%-99%) is ever crossed.
The first official book of
Build wealth
with Lazy Portfolios and Passive Investing
with Lazy Portfolios and Passive Investing
Portfolio Components Correlation
Correlation measures to what degree the returns of two assets move in relation to each other. It is a statistical measure that describes the extent to which the returns of one asset are related to the returns of another asset.
COMPONENTS MONTHLY CORRELATIONS
Monthly correlations as of 30 April 2025
Swipe left to see all data
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
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.
Learn about historical correlations here: see how the main asset classes relate to each other.
Drawdowns
A drawdown refers to the decline in value from a relative peak value to a relative trough. A maximum drawdown is the maximum observed loss from a peak to a trough of a portfolio before a new peak is attained.
VALUE STOCK GEEK WEIRD PORTFOLIO
Drawdown periods
Drawdown periods - Inflation Adjusted
1 May 1995 - 30 April 2025 (30 Years)
1 January 1975 - 30 April 2025 (~50 years)
Loading data
Please wait
Swipe left to see all data
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
Swipe left to see all data
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
Swipe left to see all data
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
Swipe left to see all data
Loading data
Please wait
Loading data
Please wait
Rolling Returns
For a detailed rolling return analysis, click here
Value Stock Geek Weird Portfolio: Rolling Returns
Value Stock Geek Weird Portfolio: Rolling Returns
A rolling return is a measure of investment performance that calculates the return of an investment over a set period of time, with the starting date rolling forward. This approach can provide a more accurate representation of the investment's historical performance and helps investors to evaluate the investment's consistency over time.
VALUE STOCK GEEK WEIRD PORTFOLIO
Annualized Rolling Returns
Annualized Rolling Returns - Inflation Adjusted
1 May 1995 - 30 April 2025 (30 Years)
1 January 1975 - 30 April 2025 (~50 years)
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
Loading data
Please wait
The values shown for the rolling periods represent key statistical points: the minimum, maximum, median, and the 15th and 85th percentiles. These percentiles give insight into the distribution of the data, indicating the range within which the central 70% of the values lie, while the median represents the middle value.
Seasonality
In which months is it better to invest in Value Stock Geek Weird Portfolio?
Both the Average Return and the Gain Frequency (Win %) are useful to get an idea of what happened in the past. They are retrieved considering the time period from January 1975 to April 2025.
Swipe left to see all data
Loading data
Please wait
Swipe left to see all data
Loading data
Please wait
Swipe left to see all data
Loading data
Please wait
For further information about the seasonality, check the Asset Class Seasonality page.
Monthly Returns
This section provides a visual/tabular representation of the performance variability in the Value Stock Geek Weird Portfolio over time. It illustrates the distribution of monthly returns, showcasing the range and frequency of positive and negative returns.
VALUE STOCK GEEK WEIRD PORTFOLIO
Monthly Returns Distribution
1 May 1995 - 30 April 2025 (30 Years)
1 January 1975 - 30 April 2025 (~50 years)
235 Positive Months (65%) - 125 Negative Months (35%)
398 Positive Months (66%) - 206 Negative Months (34%)
Loading data
Please wait
Loading data
Please wait
Swipe left to see all data
(Scroll down to see all data)
Loading data
Please wait
Methodology
Returns, up to December 2007, have been derived using the historical series of equivalent ETFs / Assets, instead of the actual ETFs of the portfolio.
You can find additional information on extended Data Sources here.
In particular, the series derived from equivalent datasets are:
Returns, up to December 2007, have been derived using the historical series of equivalent ETFs / Assets, instead of the actual ETFs of the portfolio.
You can find additional information on extended Data Sources here.
In particular, the series derived from equivalent datasets are:
- iShares S&P Small-Cap 600 Value (IJS), up to December 2000
- iShares MSCI EAFE Small-Cap (SCZ), up to December 2007
- Vanguard Real Estate (VNQ), up to December 2004
- iShares 20+ Year Treasury Bond (TLT), up to December 2002
- SPDR Gold Trust (GLD), up to December 2004
Portfolio efficiency
Compare Value Stock Geek Weird Portfolio performance and efficiency against top portfolios to identify strengths and areas for improvement.
Loading data
Please wait
Compare this portfolio with a list of famous portfolios. Metrics are calculated over the last 30 Years.
Loading data
Please wait
Compare this portfolio with up to 3 other portfolios.
Loading data
Please wait
The first official book of
Build wealth
with Lazy Portfolios and Passive Investing
with Lazy Portfolios and Passive Investing
