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«Rating of the best investors in the field of copytrading». There is a lot of meaning in this statement, and it reflects not only the ability of the manager to take long-term and sustainable steps towards effective portfolio management, but also highlight a high level of trust that can be given to the best investors. Copytrading is becoming mainstream and is attracting more and more both private managers and users of this service.
The ratings of the best copytrading accounts can be a popular and relevant source of information about which of the fund managers can be given a credit of trust. In order to give the idea of copytrading additional momentum and to improve this service, we decided to develop a system for assessing the effectiveness of the manager's portfolio and express the level of efficiency in the form of an integral metric - a rating score (RScore). The higher the rating score, the higher, in our opinion, the level of stability and reliability of the trading system offered by the fund manager.
Who is involved in the ranking? MoreHide
Currently, the rating includes only traders who have the status of a popular investor or who plan to receive this status soon on the Etoro platform. The account must be valid for at least 3 years and the trading activity must be ongoing.
What metrics do we use to produce the ranking? MoreHide
Rating is an open and verifiable process. We consider the indicators that have gained confidence in the investment environment over the past decades as the most versatile and recognized as indicators of portfolio management performance. These indicators include: Sharpe ratios, Sortino, Kalmar. Alpha Jenkins Index.
How did we calculate the rating score? MoreHide
The indicators are calculated on a monthly basis and the observation frequency is also 1 month. We also purposefully made some modification in the calculation of return in order to reduce the influence of statistical anomalies (long tails). So instead of the typical indicator of return in investment - CAGR, we used the indicator of the annualized median return (read more at the link).
Models that we use to build ranking based on 3
types of major indicators
types of major indicators
Click here to see more details
To rank traders by criterion, you can click on the corresponding column name in the table.
Traders are sorted alphabetically by default.
Traders are sorted alphabetically by default.
calculated on 1st of July
| 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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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| alderique |
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 67% of retail CFD accounts lose money |
22.20% | 1.41 | 2.90 | 1.46 | 6.59% | 0.91 | -15.20% | 15.74% | 23.48% | 0.88 | 4.7 | 936 | |
| alexandrucinca |
|
67% of retail CFD accounts lose money |
16.32% | 0.73 | 1.48 | 0.72 | 7.23% | 0.77 | -22.56% | 22.28% | 19.79% | 0.45 | 8.5 | 1207 | |
| alnayef |
|
67% of retail CFD accounts lose money |
13.32% | 0.43 | 0.71 | 0.34 | 10.24% | 0.18 | -39.57% | 31.20% | 25.17% | 0.08 | 5.0 | 1706 | |
| arash007 |
|
67% of retail CFD accounts lose money |
9.00% | 0.11 | 1.41 | 0.43 | 0.57% | 0.60 | -21.12% | 83.11% | 25.66% | 0.10 | 6.8 | 651 | |
| bamine15 |
|
67% of retail CFD accounts lose money |
5.88% | 0.06 | 0.26 | 0.09 | -14.06% | 1.20 | -63.74% | 92.43% | 78.70% | 0.21 | 4.2 | 39 | |
| big-profits |
|
67% of retail CFD accounts lose money |
8.76% | 0.16 | 1.48 | 0.79 | 19.87% | -0.73 | -11.06% | 53.73% | 35.62% | -0.20 | 5.6 | 427 | |
| campervans |
|
67% of retail CFD accounts lose money |
15.60% | 0.38 | 1.02 | 0.45 | -5.98% | 1.52 | -34.89% | 41.01% | 38.94% | 0.55 | 6.1 | 2143 | |
| canzhao |
|
67% of retail CFD accounts lose money |
12.12% | 0.35 | 0.88 | 0.34 | 6.64% | 0.32 | -36.17% | 34.30% | 33.26% | 0.15 | 4.3 | 5899 | |
| capimatt |
|
67% of retail CFD accounts lose money |
8.04% | 0.61 | 0.92 | 0.40 | 2.81% | 0.32 | -20.26% | 13.28% | 7.74% | 0.43 | 3.4 | 24 | |
| conhoulihan |
|
67% of retail CFD accounts lose money |
26.88% | 0.86 | 2.39 | 0.82 | 6.28% | 1.15 | -32.61% | 31.42% | 38.87% | 0.56 | 4.6 | 1118 | |
| cphequities |
|
67% of retail CFD accounts lose money |
29.70% | 1.74 | 4.75 | 2.66 | 20.43% | 0.56 | -11.18% | 17.07% | 32.80% | -0.52 | 4.3 | 18558 | |
| dafne17 |
|
67% of retail CFD accounts lose money |
19.50% | 0.51 | 1.06 | 0.32 | -0.48% | 1.17 | -61.06% | 38.49% | 17.89% | 0.51 | 3.8 | 410 | |
| daniel4653 |
|
67% of retail CFD accounts lose money |
15.12% | 0.83 | 1.37 | 0.37 | 8.59% | 0.41 | -40.88% | 18.31% | 6.02% | 0.39 | 3.4 | 1656 | |
| deanomeffert |
|
67% of retail CFD accounts lose money |
22.74% | 0.77 | 1.07 | 0.37 | 8.31% | 0.87 | -60.82% | 29.55% | 6.67% | 0.51 | 3.6 | 762 | |
| eddyb123 |
|
67% of retail CFD accounts lose money |
29.22% | 0.82 | 3.43 | 1.78 | 16.49% | 0.75 | -16.39% | 35.85% | 69.99% | 0.31 | 5.1 | 1685 | |
| emfasciani |
|
67% of retail CFD accounts lose money |
33.48% | 0.32 | 1.31 | 0.48 | 44.14% | -0.65 | -69.15% | 103.97% | 111.18% | -0.09 | 4.8 | 1236 | |
| emge2116 |
|
67% of retail CFD accounts lose money |
24.24% | 1.15 | 2.65 | 0.66 | 13.85% | 0.61 | -36.74% | 21.17% | 25.01% | 0.45 | 4.3 | 2080 | |
| empiricist |
|
67% of retail CFD accounts lose money |
24.54% | 1.51 | 2.93 | 1.07 | 10.21% | 0.84 | -22.91% | 16.25% | 19.83% | 0.87 | 3.8 | 145 | |
| equitiesfund |
|
67% of retail CFD accounts lose money |
9.12% | 0.69 | 1.69 | 0.87 | -1.26% | 0.70 | -10.53% | 13.23% | 12.92% | 0.79 | 5.9 | 172 | |
| financial_man |
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67% of retail CFD accounts lose money |
20.88% | 0.94 | 2.05 | 0.62 | 5.00% | 0.93 | -33.88% | 22.32% | 21.10% | 0.71 | 3.8 | 883 | |
| gaspersopi |
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67% of retail CFD accounts lose money |
21.72% | 0.71 | 1.64 | 0.86 | 5.14% | 0.97 | -25.15% | 30.79% | 46.34% | 0.53 | 3.8 | 1576 | |
| geofflee2006 |
|
67% of retail CFD accounts lose money |
15.84% | 0.46 | 0.98 | 0.54 | 0.22% | 0.91 | -29.47% | 34.08% | 38.08% | 0.42 | 4.3 | 899 | |
| gserdan |
|
67% of retail CFD accounts lose money |
43.56% | 1.52 | 2.49 | 1.37 | 27.68% | 0.93 | -31.75% | 28.68% | 21.93% | 0.51 | 4.3 | 2284 | |
| harryh1993 |
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67% of retail CFD accounts lose money |
25.44% | 0.99 | 3.25 | 1.70 | 9.10% | 0.94 | -14.99% | 25.99% | 51.48% | 0.57 | 4.5 | 2928 | |
| ishfaaqpeerally |
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67% of retail CFD accounts lose money |
15.60% | 0.23 | 1.15 | 0.54 | 6.64% | 0.50 | -28.66% | 68.32% | 43.38% | 0.88 | 5.3 | 1268 | |
| jaynemesis |
|
67% of retail CFD accounts lose money |
21.54% | 0.60 | 1.52 | 0.40 | 13.21% | 0.61 | -53.85% | 35.87% | 48.72% | 0.23 | 7.4 | 30822 | |
| jeppekirkbonde |
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67% of retail CFD accounts lose money |
27.42% | 1.14 | 3.01 | 1.33 | 12.29% | 1.01 | -20.63% | 24.03% | 14.94% | 0.58 | 7.9 | 27992 | |
| jmilazzo |
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67% of retail CFD accounts lose money |
11.34% | 0.62 | 0.97 | 0.38 | 1.18% | 0.62 | -29.74% | 18.36% | 3.42% | 0.51 | 4.9 | 19 | |
| jonasbarrelov |
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67% of retail CFD accounts lose money |
19.26% | 0.83 | 1.24 | 0.58 | 4.79% | 1.02 | -33.32% | 23.19% | 14.02% | 0.60 | 7.6 | 187 | |
| knw500 |
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67% of retail CFD accounts lose money |
23.88% | 1.19 | 2.52 | 1.15 | 13.68% | 0.20 | -20.83% | 20.12% | 24.43% | 0.55 | 3.5 | 3950 | |
| liamdavies |
|
67% of retail CFD accounts lose money |
21.60% | 0.59 | 0.87 | 0.32 | 13.64% | 0.53 | -66.55% | 36.58% | 18.92% | 0.20 | 7.8 | 1815 | |
| liborvasa |
|
67% of retail CFD accounts lose money |
23.34% | 1.47 | 3.08 | 1.64 | 12.78% | 0.76 | -14.23% | 15.85% | 21.76% | 0.66 | 7.3 | 3572 | |
| marcello61 |
|
67% of retail CFD accounts lose money |
-1.56% | -0.07 | -0.15 | -0.04 | -12.52% | 0.65 | -43.64% | 22.68% | 10.79% | 0.47 | 4.0 | 227 | |
| marianopardo |
|
67% of retail CFD accounts lose money |
23.52% | 1.15 | 2.62 | 0.82 | 9.73% | 0.94 | -28.56% | 20.44% | 24.73% | 0.63 | 7.7 | 9078 | |
| misterg23 |
|
67% of retail CFD accounts lose money |
21.06% | 0.37 | 1.36 | 0.40 | 20.12% | 0.06 | -52.24% | 56.55% | 37.14% | 0.02 | 7.3 | 8155 | |
| olenal |
|
67% of retail CFD accounts lose money |
19.08% | 0.57 | 1.56 | 0.55 | 8.26% | 0.79 | -34.92% | 33.47% | 39.01% | 0.34 | 6.3 | 1797 | |
| olivierdanvel |
|
67% of retail CFD accounts lose money |
9.72% | 3.94 | 3.94 | 1.53 | 10.07% | -0.03 | -6.36% | 2.47% | 10.66% | -0.16 | 4.4 | 7273 | |
| omaretsa |
|
67% of retail CFD accounts lose money |
11.76% | 0.17 | 0.41 | 0.26 | 20.91% | -0.57 | -44.51% | 70.89% | 65.64% | -0.13 | 4.3 | 423 | |
| onegirl |
|
67% of retail CFD accounts lose money |
18.84% | 0.82 | 1.81 | 0.77 | 2.51% | 1.17 | -24.35% | 22.98% | 23.57% | 0.73 | 6.7 | 1660 | |
| openwings |
|
67% of retail CFD accounts lose money |
7.74% | 0.10 | 0.26 | 0.10 | -19.87% | 1.69 | -76.81% | 78.12% | 0.08% | 0.34 | 4.3 | 126 | |
| overit |
|
67% of retail CFD accounts lose money |
12.48% | 0.49 | 0.80 | 0.34 | 2.38% | 0.62 | -37.14% | 25.28% | 18.19% | 0.36 | 5.5 | 704 | |
| petrbalas |
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67% of retail CFD accounts lose money |
31.92% | 1.04 | 2.71 | 1.74 | 15.19% | 1.01 | -18.30% | 30.71% | 39.40% | 0.56 | 3.7 | 175 | |
| reinhardtcoetzee |
|
67% of retail CFD accounts lose money |
27.66% | 1.72 | 3.20 | 1.36 | 10.18% | 1.02 | -20.33% | 20.43% | 35.13% | 0.76 | 4.9 | 3529 | |
| richardstroud |
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67% of retail CFD accounts lose money |
21.24% | 1.23 | 2.49 | 0.94 | 15.02% | 0.38 | -22.63% | 17.34% | 23.46% | 0.39 | 3.3 | 17284 | |
| rolando34 |
|
67% of retail CFD accounts lose money |
8.10% | 0.19 | 0.63 | 0.23 | -13.48% | 1.21 | -35.31% | 43.33% | 58.46% | 0.41 | 5.3 | 569 | |
| rubymza |
|
67% of retail CFD accounts lose money |
24.24% | 1.59 | 3.05 | 1.47 | 11.96% | 0.71 | -16.52% | 15.23% | 21.31% | 0.71 | 5.0 | 20390 | |
| spxhedgefund |
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67% of retail CFD accounts lose money |
16.08% | 1.33 | 2.43 | 1.53 | 7.76% | 0.52 | -10.54% | 12.12% | 12.33% | 0.76 | 3.4 | 12 | |
| stebliss |
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67% of retail CFD accounts lose money |
25.68% | 0.42 | 1.12 | 0.38 | 10.78% | 1.03 | -67.10% | 60.56% | 32.88% | 0.24 | 7.3 | 714 | |
| wesl3y |
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67% of retail CFD accounts lose money |
28.14% | 0.58 | 1.36 | 0.64 | 9.73% | 1.37 | -44.24% | 48.27% | 38.06% | 0.41 | 6.3 | 20072 | |
| willbill0412 |
|
67% of retail CFD accounts lose money |
20.16% | 0.80 | 1.62 | 0.87 | 1.58% | 1.13 | -23.27% | 20.16% | 26.25% | 0.77 | 3.6 | 8 |
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.
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%.
The investing strategy focused on technology themes shaping our future and what that might look like in the next 5 - 10 years, many hours of research and then selecting companies that stand to benefit the most, and 'owning' them for life. Portfolio components mainly U.S. tech stocks with the potential to achieve great returns.
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
Buy-and-hold simple understandable businesses with sustainable advantages. This portfolio emphasizes consistency and rationality.
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.
«Professional Fund Manager for more than 20 years. I am the most copied Popular investor specialized in Forex trading. This low-risk strategy aims consistent positive returns (50 months in a row since inception) with strict money management rules. My target is 1% per month. I monitor currency pairs all day to find the best entry. There is some management/scaling position for perfect entry. The risk control is a big part of my strategy, I take care a lot of my copiers' funds that I consider like mine. »
I invest in stocks, preferably for the long run. My investments might need some time before they get back to their true (intrinsic) value. Consider copying only if you are willing to hold for at least a year without withdrawing.
The portfolio focuses on trading by IT companies that generate strong cash flow. I use algorithmic trading principles to select stocks for a portfolio. A trading strategy seeks to minimize emotions and trading decisions are based on a pre-thought plan. I also sell natural gas using the features of the futures curve of this instrument. According to the trading algorithm, the portfolio expects to beat the SP500 to an average 12% per year. Scenario macroeconomic modeling is also at the dashboard of trading decisions