The basic idea of PRISM project is to provide a service which allows users to discuss the market in a single universal language. Moreover, this "language" should be formalized enough to make joint conclusions about market situations by many people together.

To achieve this aim, PRISM service grants everyone free acces to the unique analysis & trading system called "Dilative Methods" (a.k.a. DM).
DM is being developed for more than 10 years. It may be applied to almost any liquid financial instrument (like stocks, derivatives, precious metals, currencies or cryptocurrencies) and potentially allows to systematically make deals with 5-fold exceedance of potential profit over potential loss (and sometimes even better)...

DM may be divided into 2 parts. The first one is graphical chart analysis method that takes into account complex of harmonic characteristics, which statistically allow to summarize the influence of social and economic processes on financial assets prices and exchange rates. This is why DM's forecasts stay exact no matter which charts are analyzed.
Markup of financial instruments does not require any complex calculations and may be carried out manually by an analyst who knows the rules of drawing DM models. On the other hand, these rules have a lot of nuances. The PRISM service saves users from a lot of manual work, human factor errors and several years of learning markup skills.

So now all it takes is to define, which models are usefull and which are not. Actually separating the wheat from the chaff is the greatest challenge of using DM. Thats where the second part of DM arises - the trading system development. And it's not as simple as pie:)

Here are some features the PRISM project is working on to figure out what DM models are key to making deals:

1. A communication opportunity for users so that they could exchange forecasts. It implies:
- vote on whether the model will work or not;
- ability to share comments on models.
Anyone will be free to vote and comment whether a model gives a trading signal. Also there will be analyst ranking, depending on correctly voted models. Other users will be able to see if the comment or forecast on the model comes from an expert or not.
2. Using neural networks to make price development predictions based on DM models.

So there is also a bunch of smaller ideas to make analysis and communication more versatile and convinient.