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How does TransparentShare work?

TransparentShare evaluates shares on a daily basis with data-based key figures and recommends them for buying or selling. This article describes how TransparentShare works in detail.
Reading time: 4 Minutes

TransparentShare - Levermann strategy - which shares to buy

The Levermann strategy is automated with TransparentShare

Receive buy recommendations for stocks - updated daily, automated, data-based

All stocks are automatically valued daily after the market closes. The valuation is based on publicly available price, company and market data.

 

TransparentShare - share recommendations - share valuation - share tips

How does TransparentShare work? 1   The stock is recommended for buying

How does TransparentShare work? 2   The stock is being watched

How does TransparentShare work? 3   The stock is not a buy recommendation

 

When is a share a buy recommendation?

 

Levermann strategy

 

A share is a buy recommendation if two criteria are met:

  1. The Rating must reach a certain number of points. 
    A share recommended for purchase must have a total of at least 4 points (DAX) or 6 points (MDAX, SDAX, CDAX).
  2. Of the distance must be at least 10%.
    The current share price must be trading at least 10% below the 52-week high (annual high). We call this value the distance.

Note: You cannot buy or sell stocks in the application.

 

Distance: At least 10% below the
Annual high

 

TransparentShare - distance

The annual high is the highest price the share has achieved in the past 52 weeks. A share is only recommended as a buy if the current share price is at least 10% below the annual high. We call this value the distance.

Our system assumes that an attractively valued share will at least reach its annual high in the foreseeable future. The stock has the potential to go higher, of course.

 

Receive sell recommendations for purchased stocks

 

Selling moment - Levermann strategy

 

Keep track of your shares and be informed when a share is recommended for sale.

 

When is a share a sell recommendation?

A share is recommended for sale if the rating of the share falls to 1 point (DAX) or 2 points (MDAX, SDAX, CDAX) or a lower value. The evaluation is based on the Levermann strategy.

 

Receive email notifications

 

TransparentShare - E-Mail notification Levermann strategy

 

Never again miss the right time to buy or sell a stock. Receive an automated e-mail notification when a share is recommended for buying or selling. To do this, select the menu item "profile" and then the indicator "Receive purchase and sales recommendations as email".

 

Show historical rating

TranpsarentShare - History - Levermann Strategy

 

Get an overview of how the stock has been rated over the past 3 months.

 

Use Levermann strategy everywhere and don't miss anything

 

TransparentShare - Mobile, Desktop, PC Levermann strategy

 

Use TransparentShare on your mobile phone, tablet, laptop or PC. The application can be launched on the PC with https://app.transpashare.com be started. Alternatively, the app can be downloaded from the Apple Store or Google Play Store.

 

TransparentShare - AppStore   TransparentShare - Google Play Store

 

The rating consists of 12 key figures (Levermann strategy)

 

TransparentShare - Rating key figures - Levermann strategy

The method of determining the key figures is based on the Levermann strategy, which Ms. Susan Levermann described in her book "The relaxed way to wealth". The rating of a share is calculated from the sum of 12 key figures. Each key figure can have the value +1, 0 or -1.

A share recommended for purchase must have a total of at least 4 points (DAX) or 6 points (MDAX, SDAX, CDAX). A share is recommended for sale if the rating of the share falls to 1 point (DAX) or 2 points (MDAX, SDAX, CDAX) or a lower value.

Because of our 8 years of experience with the Levermann strategy we have expanded the method. The Levermann expert Petra Wolff also has Reported very positively about the extensions.

 

Interesting articles:

How does TransparentShare work? 4th

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