- Main -
- Best traders -
- By return
ETORO BEST TRADERS BY RETURN
We have decided don’t to use CAGR and have chosen the annualized median return as a more progressive method for estimating the expected returns of a portfolio. In our opinion, CAGR, as the value of compound interest, contains flaws and inaccuracies that increase for portfolios that have shown abnormally high returns.
We are skeptical about the ability of any portfolio manager to systematically extract returns of 40% per annum or more. This is possible for several periods of time due to the formation of abnormal imbalances in the market or the appearance of local bubbles, and traders could successfully take advantage of speculative trends. A trader's inclination to trade such highly volatile instruments indicates his predisposition to excessive risk, and we tried to smooth this effect as much as possible.
In our opinion, the best way to smooth out the effect of abnormal randomness in the sample of events (monthly returns) is to use the median average. We did just that - we used a set of monthly returns for each trader and determined the median average value in each of the samples. Next, we multiplied the median average by 12 to get the median yield adjusted to annualized terms.
Median Return is the most important indicator of a trader's success. It is determined based on the calculation of the median average in the sample of the monthly trader's profitability data. The calculated value of the median average for the portfolio is multiplied by 12 to obtain its annualized measuring.
Thus, Annualized return = Median average x 12
To calculate the Sortino / Sharp ratio, Calmar, Alpha Jensen, we also used the Annualized median return instead of CAGR.
Note: The rating includes only traders with volatility - no more than 50% and a maximum drawdown - no more than 50%. Traders should be PI according to Etoro requirements with a trading history 3+ years without interruption.
calculated on 1st of January
| Traders | Portfolio reports | Etoro link | RScore RScore - is integral indicator for measuring the effectiveness of a trading strategy. The formula to calculate of the indicator was defined empirically and represents the following combination of metrics: (Sharp + Sortino + Calmar + Alpha x 5) x 100 + 1000. The higher the rating score, the more attractive the strategy is in terms of its efficiency.
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Median Return M Return - is one of the most important indicators of a trader's success. It is computed based on the calculation of the median average for the sample of trader's portfolio trading data, gathered on the monthly basis. The measured number of the median average for the portfolio is multiplied by 12 to obtain its annual value. Thus, Median Return = Median average * 12.
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Sharpe Sharp - ratio is an indicator of the effectiveness of an investment strategy, which is calculated as the ratio of the average portfolio return (Ann. Return) adjusted for the risk-free rate to the standard deviation of the portfolio.
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Sortino Sortino - is an indicator of the effectiveness of an investment strategy, which is calculated as the ratio of the average portfolio return (Ann. Return) adjusted for the risk-free rate to the standard deviation of the portfolio, excluding positive deviations in the fluctuations in the value of the investment portfolio.
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Calmar Calmar - is an indicator of the effectiveness of an investment strategy, which is calculated as the average value of the return on an investment strategy (Ann. Return) to the value of its maximum drawdown.
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Alpha Alpha - Jensen's alpha (or Jensen's Performance Index, ex-post alpha) is used to determine the abnormal return of a security or portfolio of securities over the theoretical expected return. The Jensen's alpha aims to do this and is calculated using a simple formula: Jensen's alpha = Portfolio return - [Risk Free Rate + Portfolio Beta * (Market Return - Risk Free Rate)]
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Beta Beta -
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Max DD Max DD - a maximum drawdown (MDD) is the maximum observed loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum drawdown is an indicator of downside risk over a specified time period.
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Volatility Volatility - It is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time.
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CAGR CAGR - compound annual growth rate (CAGR) is the rate of return that would be required for an investment to grow from its beginning balance to its ending balance, assuming the profits were reinvested at the end of each year of the investment's lifespan.
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corr to SnP Corr to SnP - a correlation is a statistical measurement of the relationship between two variables (for our case SP500 index and traders portfolio). Possible correlations range from +1 to –1. A correlation of +1 indicates a perfect positive correlation, meaning that both variables move in the same direction together.
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Age (years) Age (years) - Shows a duration in years how long traders portfolio introduced on a platform. Then longer period is then more trust in trading strategy can be expressed. In the common cases, we do not consider a portfolio with a track record of fewer than 3 years. An exception exists only in respect to back-tested trading strategies.
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Copiers Copiers - shows how many copiers have a trader on the Etoro platform on a specific date
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| gserdan |
 |
 67% of retail CFD accounts lose money |
1.47 | 2.43 | 1.04 | 24.46% | 0.92 | -39.24% | 27.67% | 21.26% | 0.52 | 4.8 | 4760 | ||
| petrbalas |
|
67% of retail CFD accounts lose money |
1.03 | 2.68 | 1.64 | 14.49% | 0.96 | -18.30% | 29.12% | 34.86% | 0.55 | 4.2 | 130 | ||
| iiapad0ks |
|
67% of retail CFD accounts lose money |
1.35 | 2.65 | 1.49 | 13.28% | 0.96 | -20.08% | 22.08% | 26.40% | 0.73 | 4.1 | 184 | ||
| fab_zan |
|
67% of retail CFD accounts lose money |
1.37 | 3.36 | 1.15 | 14.86% | 0.83 | -25.24% | 21.25% | 35.04% | 0.61 | 4.8 | 396 | ||
| cphequities |
|
67% of retail CFD accounts lose money |
1.64 | 4.22 | 2.52 | 18.13% | 0.59 | -11.18% | 17.15% | 28.91% | 0.54 | 4.8 | 22092 | ||
| jeppekirkbonde |
|
67% of retail CFD accounts lose money |
1.15 | 3.02 | 1.31 | 11.69% | 0.99 | -20.63% | 23.56% | 32.03% | 0.58 | 8.4 | 26592 | ||
| edoreld |
|
67% of retail CFD accounts lose money |
1.26 | 2.77 | 1.04 | 7.83% | 1.08 | -25.24% | 21.17% | 21.73% | 0.85 | 4.2 | 491 | ||
| harryh1993 |
|
67% of retail CFD accounts lose money |
0.99 | 3.24 | 1.66 | 8.20% | 0.93 | -14.99% | 24.98% | 45.58% | 0.57 | 5.0 | 2004 | ||
| alderique |
|
67% of retail CFD accounts lose money |
1.57 | 3.22 | 1.61 | 8.28% | 0.91 | -15.20% | 15.55% | 22.90% | 0.89 | 5.2 | 1169 | ||
| conhoulihan |
|
67% of retail CFD accounts lose money |
0.76 | 1.91 | 0.75 | 3.23% | 1.15 | -32.61% | 32.14% | 28.94% | 0.54 | 5.1 | 917 | ||
| empiricist |
|
67% of retail CFD accounts lose money |
1.49 | 2.91 | 1.06 | 9.07% | 0.86 | -22.91% | 16.27% | 17.85% | 0.87 | 4.3 | 139 | ||
| rubymza |
|
67% of retail CFD accounts lose money |
1.54 | 2.94 | 1.43 | 10.57% | 0.76 | -16.52% | 15.38% | 19.30% | 0.72 | 5.5 | 21350 | ||
| reinhardtcoetzee |
|
67% of retail CFD accounts lose money |
1.14 | 2.68 | 1.14 | 5.53% | 1.00 | -20.33% | 20.39% | 30.20% | 0.73 | 5.4 | 2749 | ||
| eddyb123 |
|
67% of retail CFD accounts lose money |
0.65 | 2.53 | 1.40 | 9.79% | 0.75 | -16.39% | 35.33% | 59.11% | 0.31 | 5.6 | 11019 | ||
| liborvasa |
|
67% of retail CFD accounts lose money |
1.43 | 2.97 | 1.58 | 12.00% | 0.75 | -14.23% | 15.71% | 19.65% | 0.66 | 7.7 | 3196 | ||
| wesl3y |
|
67% of retail CFD accounts lose money |
0.47 | 1.08 | 0.49 | 3.36% | 1.31 | -44.24% | 46.86% | 32.36% | 0.40 | 6.8 | 18384 | ||
| marianopardo |
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67% of retail CFD accounts lose money |
1.06 | 2.31 | 0.75 | 7.33% | 0.92 | -28.56% | 20.15% | 22.43% | 0.63 | 8.2 | 9817 | ||
| willbill0412 |
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67% of retail CFD accounts lose money |
0.83 | 1.67 | 0.87 | 1.22% | 1.10 | -23.27% | 24.33% | 22.64% | 0.76 | 4.1 | 7 | ||
| jonasbarrelov |
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67% of retail CFD accounts lose money |
0.82 | 1.27 | 0.58 | 3.84% | 1.05 | -33.32% | 23.51% | 14.67% | 0.61 | 8.1 | 1015 | ||
| financial_man |
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67% of retail CFD accounts lose money |
0.89 | 1.95 | 0.56 | 2.91% | 0.91 | -33.88% | 21.38% | 17.86% | 0.70 | 4.3 | 590 | ||
| richardstroud |
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67% of retail CFD accounts lose money |
1.14 | 2.28 | 0.84 | 12.21% | 0.40 | -22.63% | 16.65% | 19.54% | 0.41 | 3.8 | 14375 | ||
| gaspersopi |
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67% of retail CFD accounts lose money |
0.61 | 1.40 | 0.73 | 1.42% | 0.95 | -25.15% | 30.23% | 34.68% | 0.52 | 4.3 | 1222 | ||
| olenal |
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67% of retail CFD accounts lose money |
0.53 | 1.45 | 0.50 | 6.24% | 0.78 | -34.92% | 32.74% | 33.45% | 0.34 | 6.8 | 1267 | ||
| spxhedgefund |
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67% of retail CFD accounts lose money |
1.04 | 1.73 | 1.01 | 5.89% | 0.60 | -15.93% | 15.43% | 12.80% | 0.67 | 3.9 | 24 | ||
| onegirl |
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67% of retail CFD accounts lose money |
0.70 | 1.54 | 0.66 | -0.64% | 1.15 | -24.35% | 22.81% | 21.31% | 0.72 | 7.2 | 1603 | ||
| emge2116 |
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67% of retail CFD accounts lose money |
0.78 | 1.79 | 0.43 | 5.07% | 0.61 | -36.74% | 20.39% | 22.62% | 0.47 | 4.8 | 1578 | ||
| alexandrucinca |
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67% of retail CFD accounts lose money |
0.71 | 1.44 | 0.70 | 2.65% | 0.82 | -22.56% | 22.26% | 17.96% | 0.49 | 9.0 | 1054 | ||
| geofflee2006 |
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67% of retail CFD accounts lose money |
0.43 | 0.92 | 0.48 | -1.14% | 0.86 | -29.47% | 32.61% | 33.52% | 0.41 | 4.8 | 758 | ||
| alnayef |
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67% of retail CFD accounts lose money |
0.46 | 0.77 | 0.35 | 11.90% | 0.11 | -39.57% | 30.08% | 23.31% | 0.05 | 5.5 | 1833 | ||
| trex8u247 |
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67% of retail CFD accounts lose money |
1.18 | 2.74 | 0.80 | 10.34% | 0.42 | -20.43% | 13.92% | 20.83% | 0.41 | 3.8 | 548 | ||
| tradefx525 |
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67% of retail CFD accounts lose money |
0.59 | 1.40 | 1.10 | 6.56% | 0.41 | -12.31% | 22.72% | 24.63% | 0.31 | 3.8 | 739 | ||
| knw500 |
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67% of retail CFD accounts lose money |
0.71 | 1.50 | 0.65 | 3.25% | 0.61 | -20.83% | 18.97% | 21.75% | 0.54 | 4.0 | 3617 | ||
| daniel4653 |
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67% of retail CFD accounts lose money |
0.72 | 1.19 | 0.30 | 5.48% | 0.41 | -40.88% | 17.33% | 5.36% | 0.41 | 3.9 | 1309 | ||
| canzhao |
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67% of retail CFD accounts lose money |
0.34 | 0.79 | 0.33 | 4.49% | 0.41 | -36.17% | 34.37% | 21.65% | 0.18 | 4.8 | 3373 | ||
| fundmanagerzech |
|
67% of retail CFD accounts lose money |
0.60 | 1.71 | 0.71 | 8.37% | 0.19 | -16.61% | 19.67% | 25.19% | 0.14 | 5.7 | 8684 | ||
| campervans |
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67% of retail CFD accounts lose money |
0.29 | 0.78 | 0.34 | -9.93% | 1.46 | -34.89% | 39.79% | 34.71% | 0.54 | 6.6 | 1730 | ||
| overit |
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67% of retail CFD accounts lose money |
0.41 | 0.67 | 0.28 | -0.53% | 0.67 | -37.14% | 25.24% | 16.82% | 0.39 | 6.0 | 647 | ||
| jmilazzo |
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67% of retail CFD accounts lose money |
0.51 | 0.83 | 0.34 | -1.58% | 0.68 | -29.74% | 19.57% | 2.08% | 0.52 | 5.4 | 18 | ||
| olivierdanvel |
|
67% of retail CFD accounts lose money |
3.37 | 3.37 | 1.29 | 8.55% | -0.02 | -0.01% | 2.44% | 9.72% | -0.02 | 4.9 | 7517 | ||
| nestorarmstrong |
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67% of retail CFD accounts lose money |
0.26 | 0.63 | 0.19 | 4.87% | 0.32 | -49.63% | 37.11% | 10.22% | 0.12 | 7.4 | 559 | ||
| equitiesfund |
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67% of retail CFD accounts lose money |
0.63 | 1.42 | 0.64 | -1.99% | 0.69 | -13.49% | 13.71% | 10.14% | 0.74 | 6.4 | 139 | ||
| capimatt |
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67% of retail CFD accounts lose money |
0.39 | 0.86 | 0.40 | -0.24% | 0.49 | -20.26% | 20.55% | 16.32% | 0.41 | 3.9 | 17 | ||
| rolando34 |
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67% of retail CFD accounts lose money |
0.05 | 0.16 | 0.06 | -19.45% | 1.17 | -35.31% | 42.15% | 49.94% | 0.40 | 5.8 | 356 | ||
| marcello61 |
|
67% of retail CFD accounts lose money |
0.09 | 0.19 | 0.04 | -10.47% | 0.71 | -43.64% | 22.42% | 10.94% | 0.51 | 4.5 | 300 |
67% of retail investor accounts lose money when trading CFDs with this provider. You should
consider whether you can afford to take the high risk of losing your money.
Past performance is not an indication of future results.
Trading history presented is less than 5 complete years and may not suffice as basis for investment decision.
Copy trading is a portfolio management service, provided by eToro (Europe) Ltd.,
which is authorised and regulated by the Cyprus Securities and Exchange Commission.
Cristian trade mostly stocks, focusing on finding the best opportunities in tech and growth stocks. He worked in online marketing for 15 years, and got experience in spotting new opportunities within tech. His trading based on special algorithms.
Buy-and-hold simple understandable businesses with sustainable advantages. This portfolio emphasizes consistency and rationality.
Heloise investing strategy focuses mostly on US indices, tech, and pharma, promising future (5-10years) growth. Her trades are based on technical analysis using machine learning to understand patterns and trends in the markets. She prefers to keep a diverse portfolio to spread risk while achieving great returns.
Libor works in IT and have a strong belief in growth in that sector. He invests with low risk in general, with trades taking from a few days up to several months and try to avoid selling at a loss, even when that means prolonging the trade. He usually takes profit at about 10%.
𝙈𝙮 𝙨𝙩𝙧𝙖𝙩𝙚𝙜𝙮: - diversified portfolio with medium to long-term investment horizon - goal to beat the S&P500 index consistently - each investment decision is researched and verified before it is executed
𝙏𝙧𝙖𝙙𝙞𝙣𝙜: - I am actively trading for 20+ years and hold several personal investment portfolios in addition to eToro - eToro portfolio designed for above-average returns at an acceptable risk - I am mindful of copiers and provide regular updates on my trading - I continuously assess my portfolio against current trends and adjust as needed
This is my long-term equity investment portfolio.
The portfolio has been built by carefully selecting companies that I understand, and which show potential to grow with additional consideration of the impact each company has on the environment. I keep myself updated on a daily basis with news of each company and read each earnings release. Between 10% and 15% of the portfolio's capital is kept as cash to use whenever an opportunity becomes available.
I analyse markets, politics, tech, and society and conduct careful due dilligence investing in companies I evaluate are worth significantly more than their price. I manage the total portfolio risk through diversification and hedging. I generally avoid leverage, short positions, and high-fee instruments. I rely on a strong personal network, a small team, and the best data subscriptions that feed into my proprietary IT tool.