22. The method of claim 19 , wherein at least one of the plurality of potential features is at least one selected from the group consisting of: common stock, preferred stock, exchange traded funds, mutual funds, closed-end funds, real estate investment trusts, master limited partnerships, royalty trusts, enhanced income securities, private equities in US markets, public equities in US markets, private equities in non-US markets, and public equities in non-US markets; options on equities, futures, currencies, and other derivatives contracts, OTC, and exchange traded in US and non-US markets; fixed income securities; futures and forwards contracts such as commodities futures, interest rate futures, equity index futures, and single stock futures; quantified credit ratings; asset pricing model parameters; GAAP accounting line items; non-GAAP accounting measures; valuation metrics; projected and historical pro form a financial statement items; items in accounting disclosures; information disclosed in SEC Form-10K, Form 10-Q, Form S-1, proxy statements, and other public and private company disclosures; profitability measures; capital structure; operational variables; debt covenants; technical analysis measures; macro economic variables; audit report items; analyst estimates; research report items; and Commitment of Traders Report data.
19. A method for analyzing data in an indexed financial database, said method comprising: causing at least one memory device to store a user preference, said user preference including at least one of: a user past decision about a financial object and a user preferred feature of a financial object; enabling a user to define a feature which is of interest to the user using at least one input device, the feature representing a complex set of characteristics of the financial object useful to the user; causing at least one processor to apply a mathematical transform to a feature of a financial object stored in said indexed financial database of financial objects, the indexed database having been created by searching for each of a plurality of potential features in each a plurality of data sets, and for each feature found in each data set, said found feature having been stored in said indexed database in association with said data set to be usable as a query to search for said data set in said indexed database, said application of the mathematical transform generating a transformed financial object feature; causing the at least one processor to compare the feature of interest with the transformed financial object feature; causing the at least one processor to generate a similarity score based on at least one of the user preference and a predetermined similarity score associated with the user, said similarity score indicating a similarity between the feature of interest and the transformed financial object feature; and causing at least one display device to display the transformed financial object feature and the similarity score.