The trader of each wikifolio can be limited to specific assets of the wikifolio investment universe in their trading. The investment universe is set during the emission process and cannot be changed afterwards.

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Stocks DAX

Stocks SDAX

Stocks TECDAX

Stocks Other

Stocks MDAX

Stocks Europe Select

Stocks Dow Jones

Stocks USA Select

Stocks NASDAQ 100 Select

Stocks Hot Stocks

Stocks Eastern Europe Select

Stocks Japan Select

Stocks International

ETFs Latin & South America

ETFs emerging markets

ETFs countries Europe

ETFs North America

ETFs other bonds

ETFs world

ETFs raw materials ETCs

ETFs Germany

ETFs other countries

ETFs DAX

ETFs sectors

ETFs EuroStoxx

ETFs Asia

ETFs Europe bonds

ETFs Europe overall

ETFs basic resources

Other ETFs

Funds real estate

Funds bonds

Funds Stocks

Funds money market

Funds

Funds mixed

Discount certificates

Bonus certificates

other investment certificates

Knock-out products

Subscription warrants

other leverage products

Alpha indicates the additional return of a wikifolio compared to a benchmark index – a measure of the added value a wikifolio trader achieves through active portfolio management.

Beta shows how sensitively the price of a wikifolio reacts to movements in a reference index.

Volatility measures the intensity of the fluctuation of the daily returns of a wikifolio around their mean value. It is a mathematical quantity (standard deviation) for the risk of an investment.

To make wikifolios more comparable with each other, each published wikifolio receives a score based on 13 different criteria.
According to this score the wikifolios are sorted and are given a place in the wikifolio ranking.

The liquidation indicator makes wikifolio certificates comparable according to their liquidity.

The highest difference in the respective period between a price low and the previously reached high of the wikifolio. Calculation: (price low x 100 / previously reached high) - 100.

Shows the ratio of performance to volatility and thus the return per unit of risk taken. The two components are annualized.

The ratio of the mean of daily returns to their standard deviation. The higher the Sharpe Ratio, the better the performance over the specified period relative to the risk taken. This value is recalculated once a day.

The Sortino Ratio is a variation of the Sharpe Ratio. Instead of looking at total volatility, it looks only at negative excess returns, i.e. downside risk. The higher the Sortino Ratio, the better the performance in relation to the downside risk taken.

The invested capital corresponds to the value of all currently sold index certificates based on the displayed wikifolio.

Sum of all buy and sell orders within the last 30 days of the displayed wikifolio-certificate.

Day of creation of this wikifolio by the wikifolio trader.

The high watermark highlights the currently highest level of the wikifolio within a calendar year and is used to calculate the performance fee.

The symbol is a short description that is assigned by the wikifolio trader to a wikifolio, consists of alphanumeric characters (A-Z, 0-9), and always starts with WF.

Outperformance: This wikifolio has a significant annual alpha of over 3%. 
Alpha is the extra return that cannot be explained by the market and is attributable to the active portfolio management of the wikifolio trader.

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Traded assets: In this wikifolio structured leverage products can be traded at any time. Please note that leverage products are subject to a higher risk category than e.g. equities.

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The wikifolio trader makes his decisions for this wikifolio based on fundamental analysis e.g. global analysis.

The wikifolio trader makes his decisions for this wikifolio based on technical analysis e.g. chart analysis.

The wikifolio trader makes his decisions for this wikifolio based on other analysis e.g. sentiment analysis.

Geographic focus: In the past 12 weeks mainly securities from the US were traded in this wikifolio.

The wikifolio certificate fee is calculated daily pro-rata. Calculations are based on the components of the wikifolio. These are the virtual cash assets and the virtual securites in the wikifolio at daily closing prices of Lang &amp; Schwarz (bid price, ca. 11 p.m.).

The prices shown have been converted and may differ from the actual price to be paid.

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The amount of the respective wikifolio performance fee is proposed by the trader and set by mutual agreement with wikifolio.com and Lang &amp; Schwarz. With classic wikifolios, it amounts to 5–30 percent of the success achieved in the wikifolio and only becomes due upon reaching a new high watermark (new annual high) in the wikifolio. With some portfolio manager wikifolios as well as wikifolios of the trader 'wikifolioAG' it amounts to 0 percent.

In Germany, Austria, and Switzerland, investors can buy wikifolio certificates at the stock exchange. These open-ended index certificates track the performance of a wikifolio 1:1.
 The displayed data is a preview only – additional details for investable wikifolio certificates are available exclusively in the German version of wikifolio.com.

Mit diesem Wikifolio sollen hauptsächlich Werte aus den Bereichen Fintech , Drohnen ( auch Rüstungsfirmen),Industrie 4.0 und BigData gehandelt werden. Die Auswahl der Titel erfolgt sowohl mit Hilfe von Charttechnik als auch fundamentaler Daten. Die Haltedauer der einzelnen Titel kann zwischen wenigen Tagen und mehreren Monaten variieren. Zur Absicherung können Derivate eingesetzt werden.

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This wikifolio has reached a new annual high with the price of %PRICEWITHCURRENCY%.

To view the wikifolio chart since its creation and compare it with benchmarks of your choice, register now – completely free of charge.

To see which sectors and countries the stocks in this wikifolio are spread across, register now – completely free of charge.

To view the complete portfolio, all key figures, and previous trades, register now – completely free of charge.

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The wikifolio finTech,Drohnen,BigData&Ind. 4.0 has existed since 2016 and trades Stocks, ETFs and Derivatives. Learn more about finTech,Drohnen,BigData&Ind. 4.0 here!

finTech,Drohnen,BigData&Ind. 4.0

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