First, we show that the current practice of buying and selling real estate is far from perfect. There are three main reasons for this:

1)    the too narrow or even incorrect statement of a task, which is set by a buyer or seller of real estate objects (REOs). Often when buying such object is not considered that in it should then be invested additional monetary means to bring it up to standard, and when it is sold Ч that your object should be pre-upgraded to raise its market value;

2)    the inability to solve the set task by the best way for the buyer or seller of REOs. Indeed, he is usually guided by only his intuition, experience of a realtor and current prices in the real estate market. No optimizing software commonly is used;

3)    the buyer has to spend a lot of time and efforts in searching of the needed for him REO, because for that he has to browse in the Internet a lot of sources of information, and then to walk over all those real estate objects, which are of interest to him, to make his final choice.

Let us now list the distinctive features of the proposed perfect technology of real estate trade (PTRET), which fully meet the interests of buyers and sellers of real estate. Here they are:

PTRET will be based on these four pillars:

1 Ч universal electronic catalogs of real estate objects any categories, having full information about them, the standard form of its presentation and ease of access;

2 Ч expertise for each sellable REO, on which results will be offered a variety of options for its upgrading (with indication of the cost of the latter), as well as calculated an integral factor of attractiveness (IFA), on which it will be possible to objectively judge the merits of using it (the closer IFA is to a unit value, the best is for using this object);

3 Ч statistical analysis for performed operations of the purchase and sale, on which results will be automatically formed the probabilistic characteristics used in DBREO when calculating;

Note. In the Russian-language document "Algorithm of calculating probabilistic distributions for the Center of real estate trade (CRET)" (author's certif. є59240) are given formulas for calculating such distributions. The file of this document "Calculating_probability_distributions_for_CRET_ (rus) .doc" you can download here.

4 Ч special optimizing software tools, by means of which will be found by clients of CRET the optimal strategies of purchase and sale of REOs.

A natural question arises: is it possible to practically realize such PTRET in the near future? In opinion of the founder of the IT AC DTIP, it is not only possible, but definitely happen soon for two reasons. Firstly, the offered technology has indisputable advantages over existing technologies of purchase and sale of various real estate, and therefore will be demanded by practice. And secondly, for PTRET have already been created by the founder of IT AC DTIP the two key optimizing software tools, which enable to bring it to life (see above the fourth pillar). With regard to the realization of the first three aforementioned pillars, as well as of CRET itself, that is Ч a purely engineering tasks (although quite labor-intensive ones), which can now be solved by professionals in real estate and network programming.

Here are brief descriptions of the above two software tools designed for PTRET realization, which are multilingual. They have the following names: HIO 1.2 and RIO 1.0.

1. The multilingual program of housing investment optimization, version 1.2 (HIO 1.2) is created in two variants: the local one (MLIS HIO 1.2) and the network (MNIS HIO 1.2). MLIS/MNIS HIO 1.2 is designed to find optimal strategies of selecting a housing object (HO) of the required category with two possible aims: a) to acquire this object for private use, its possible repair or fine finish, as well as the purchase for it of necessary furnishing at a given value of investment amount (a mode of housing purchase); b) for its lease at a permissible amount of rental fee (a mode of housing rental). Maximized quality criterion Ч IFA of HO. In other words, the user selects such HO for which a value IFA will be the larges. At that, it his actions with regard to this object he will be guided by the found optimal strategy of its repair (fine finish) and acquisition of the required furnishing.

2. The multilingual program of real estate investment optimization, version 1.0 (RIO 1.0) is also developed in two variants: the local (MLIS RIO 1.0) and the network (MNIS RIO 1.0). MLIS/MNIS RIO 1.0 is purposed to find effective strategies either for purchase or sale of real estate objects for commercial gain, or for renting of them. It offers two modes of using investment: 1 Ч investment to buy alien real estate and 2 Ч investment to upgrade own real estate. The first mode is used when the user is going to invest his money in buying REOs for their subsequent resale or renting, and the second Ч in upgrading of his own REOs for their further sale or renting. In each of these modes is stipulated to solve tasks of the following four types: 1) maximizing absolute income from the sale of REOs without payback factor; 2) the same with an account of this factor; 3) maximizing relative income from exploiting REOs without payback factor; 4) the same with an account of it. The program also provides the function of statistics that allows to evaluate for tasks of types 2 and 4 the effectiveness of the investment, taking into account its risk factor.

Let's look now at the main properties of the future Center of real estate trade, related to PTRET, as well as on the peculiarities of its interaction with the clients, which solve their tasks of purchase and sale of real estate. Actually, CRET will be a network company, whose activities are based on several important elements. These include:

Definition. Any REO belongs to one of two types: residential (LREO) or commercial (CREO). The first is intended for living people in it, and the other Ч for other purposes (production, a warehouse, a hall, etc.). A particular case of LREO is HO, that is acquired by some person for his own residence there.

Interaction of clients with CRET depends on what tasks they solve. There are four options of such interaction, which are described below.

1. Sell of the own real estate objects

The client fills out a standard form for his REOs, adding to there the needed their photos and text descriptions. At that, SREE examines these objects, for what the client should pay in advance, that all the necessary information about them entered into all databases of CRET (including UCHO, if the object object is residential). The results of this expertise are as follows:

The client free uses NIS RIO 1.0 to find the optimal strategy of upgrade the considered REOs. For those of them which will be immediately put up for sale by the client, he points his own sale prices, and then all information about them immediately appear in DBREO of type A, used by other clients when buying various real estate for commercial gain. Besides, it is placed in UCHO (for LREO) and CRCREO (for CREO).

2. Renting of the own real estate objects

The client fills out a standard form on his own REOs, adding to there the required their photos. At that, SREE examines these objects, for what the client should pay in advance. The result of the expertise is:

The client free uses MNIS RIO 1.0 to find the optimal strategy of upgrade the considered REOs. For those of them which will be immediately put up immediately for renting by the client, he points his own rental fees, after that the information about them (with marks of renting) immediately appear in UCHO (for LREO) or CRCREO (for CREO).

3. Purchase of a housing object

The client using UCHO and MNIS HIO 1.2 solves his task of optimizing investment in housing, thus finding the best for himself HO, as well as the best options for its upgrade.

There may be two variants of monetization:

1)     free use of UCHO and payment through the CRET website of cost of solving an optimization task of the client;

2)     payment through the specified website of the cost of using UCHO, and of the cost of solving this task.

4. Purchase of real estate for commercial gain

The client connects the required DBREO of type A (see above) and using MNIS RIO 1.0 he finds the optimal strategy of investing the given money amount for acquisition of the best HOs for the purpose of their further resale or renting. In this case there may also be two similar variants of monetization (see above).

In conclusion, we have developed an algorithm of calculating probability distributions for CRET, based on the use of statistics of sales and purchases of real estate through this Center. Such distributions are a compulsory element for practical implementation of the proposed PTRET.