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4. For what types of financial instruments can strategies be developed?

To date, NeuroStrategy supports strategy development for

NeuroStrategy learns the strategy for trading with the respective financial instrument on the basis of the historical data of this instrument. Hence, for the formation of a promising strategy, it is essential to have a sufficient amount of historical data available. In order to achieve best results, the financial instrument should meet the following criteria.

  1. It should have been traded on the market for at least 2000 trading days. Although it is also possible to learn strategies on the basis of data from only 500 trading days, the chances of developing a robust and dependable strategy model in this manner are rather slim. Financial instruments with histories of less than 300 days are rejected on principle by the system.
  2. The financial instrument under investigation should be traded at the desired trading center with sufficient liquidity. During training, NeuroStrategy is unable to verify, whether it would have been possible to have actually purchased, say, 500 units of a certain stock. Moreover, the user is well advised to trade in securities, where the order placed by the user has no noticeable effect on the immediate development of the security.
  3. Avoid highly speculative securities. Naturally, in the development of such securities, NeuroStrategy will hardly be able to find any usable information, on which a profitable trading strategy could be built. Trading with such instruments also runs counter to the fundamental idea of the system, which is designed to act defensively.

In principle, of course, you can analyze all of the above-mentioned financial instruments, for which a sufficient history exists, with the help of NeuroStrategy. The model thus developed will certainly provide the experienced trader with important information regarding the current state of the security. This information can assist you in making sound investment decisions.