In critical systems such as trading systems, Internet access should be limited to the bare minimum required for the system to function.

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The exploit kit used in this attack indicates that the infected system may have hosted software that is known to be prone to vulnerabilities. If this kind of software is able to compromise a machine, particularly if it is not required for the functionality of the system, then it should not be hosted on the same machine in the first place. Such systems should only contain the software required for the system to function, and should not include any unnecessary and potentially vulnerable software. Certain systems completely remove any form of web browser, whilst others even go as far as creating a dedicated operating system that only runs the necessary software.

Limiting internet access and installed software may not always suffice. The report mentions that "access to any computer on a corporate network gives access to even the most highly protected banking systems". Because of this, the critical systems should be isolated from the rest of the network which may host machines that do not apply similar security policies. It is possible to increase the level of protection of a system by implementing Exploit Mitigation techniques. Even if a particular piece of vulnerable software is needed for business purposes, these techniques make exploitation harder.

Microsoft's EMET is an example. Malware is constantly improving and evolving, introducing ingenious and stealthy techniques. Monitoring tools are also increasing in sophistication, finding new methods aimed at detecting even the slightest suspicious or uncommon behaviour. These tools together with a proper Incident Response plan play a crucial role in mitigating such incidents.

The level of security imposed on a system should be the result of a proper risk management process. At the end of the day this boils down to proper risk assessment and a security infrastructure that is reflective of the level of risk for a particular asset. The value of an asset is an essential measure and should correspond to the associated risk and impact it has to the organisation.

This particular case can indicate that the trading system terminal, which has the ability to handle hundreds of millions of dollars in transactions, might have been underestimated as an asset. Such an asset should have been extensively assessed to minimise the risk of such an attack to be successful. Proper risk management is essential for every ICT environment and infrastructure.

This attack demonstrated how the compromise of a trading system terminal had significant monetary consequences. The background and recommendations are derived from past experiences and common sense, and should be taken as starting points for discussions on possible course of action by relevant stakeholders. We use cookies on our website to support technical features that enhance your user experience. We also use analytics. To opt-out from analytics, click for more information. Home Publications Cyber security info notes Malware infiltrates Russian trading system.

Navigation menu. Published February 24, Type Info notes Introduction According to a report published by the Russian cybersecurity vendor Group-IB, a group of hackers managed to gain unauthorised access to a Russian trading system by infecting their trading system terminal with a Trojan.

The Attack Timeline The entire attack extended over a 6 months period; starting with the initial infection in September up until the malware removal in February Please bear in mind, that leverage is provided only when buying, not when selling. Therefore, the maximum number of buying and selling shares will be different. The author created a robot for a brokerage company, therefore an opportunity to work with multiple client accounts is provided.

Information trading system quik. The Quik trading system is an excellent terminal for work

The result of completing each function is the creation of lines in the trans. After writing functions that are interacting with the transaction file, we can proceed with developing a trading robot. Rules for operating a trading robot are the following:. Algorithmic transfer of two-parts stop-order. First, previous orders are removed, followed by the new orders being placed. As a result, the trailing function will be the following:. Another issue is a human factor, which implies situations when traders at least once a month are closing trades manually using MetaTrader or QUIK, which can lead to a mismatch between actual and theoretical positions.

As a solution to this problem, you can use semaphores - global variables in MetaTrader, which will change their value only during the automatic operation. Their regulation would also temporary allow to prohibit robot's transactions without shutting down the terminal. When operating with numerous accounts, additional problems can be triggered.

Constantly adding new clients requires a recompilation of EAs, herein, open positions and their parameters are "forgotten".

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Semaphores can be of assistance in this particular issue. In addition to that, the program should be capable of reallocating client funds between robots and shares in a short period of time. The new model would look accordingly:. The new scheme has an added database that stores information about share prices, client funds, share capital for each robot as well as other useful information. The robots' structure of orders to the account management module can be different, for example for order Deal :.

As you can see, the function has barely changed, apart from the client codes and lots that have disappeared, and are currently stored in the database.

The problem of automated trading on the stock market that we faced, is now solved. The attached robot file can be used as a template when creating trading robots for MICEX some alterations have to be made for operating with futures for RTS futures. Using MetaTrader enables creating trading robots of different levels of complexity for operating on the stock market.

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An additional advantage of MetaTrader is its ability to work with global variables which allow you to stop or resume trading without violating any processes file cleaning, export of transactions. In this article we will check the well-known statement that "The whole day trading depends on how the Asian session is traded". The Expert Advisor included into the project will help us analyze the effectiveness of the concept presented in the article.

Finally, we'll draw some conclusions and offer useful suggestions. Most of the automated trading systems developers use some form of trading signals filtration. In this article, we explore the creation and implementation of bandpass and discrete filters for Expert Advisors, to improve the characteristics of the automated trading system.

Is it possible to predict the behavior of the market for a short upcoming interval of time, based on the recurring tendencies of candle directions, at specific times throughout the day?

Malware infiltrates Russian trading system

That is, If such an occurrence is found in the first place. This question has probably arisen in the mind of every trader. The purpose of this article is to attempt to predict the behavior of the market, based on the statistical recurrences of candle directions during specific intervals of time. You agree to website policy and terms of use. Do you like the article? Share it with others - post a link to it! Use new possibilities of MetaTrader 5. MetaTrader 4 — Examples.

Introduction After an easy development of trading robots for MetaTrader 4, you may be unpleasantly surprised about the challenges one will face with developing bots for the stock market in Russia. QUIK system scans the. If a transaction description does not match the required format, it is rejected.

The operations' result is recorded in the. Attached files Download ZIP. Warning: All rights to these materials are reserved by MetaQuotes Ltd. Copying or reprinting of these materials in whole or in part is prohibited. Go to discussion.

The Magic of Filtration Most of the automated trading systems developers use some form of trading signals filtration. Research of Statistical Recurrences of Candle Directions Is it possible to predict the behavior of the market for a short upcoming interval of time, based on the recurring tendencies of candle directions, at specific times throughout the day?