EconoHistory.com. Data is a snowflake. Orpheus CAPITALS

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1 EconoHistory.com Data is a snowflake Orpheus CAPITALS

2 Index 1. Executive Summary 2. About EconoHistory.com 3. Current gaps in the financial information sector 4. Business Gaps in the current Web Search Model 5. The data visual market 6. Non Financial Market 7. Front End 8. Current Infrastructure 9. EconoHistory Elements 10. Functionality and Query ability 11. FAQ s 1. Executive Summary The portal launches a series of elements (indicators) viz. Jiseki Cycles, Time cycles, annual seasonality, Hurst Cycles, Sine Curves, statistical plots, fundamental plots, technical analysis, indices, portfolio calculators, screeners, customized dashboards, etc. 2. About EconoHistory.com EconoHistory.com ( Econohistory ) is the search engine venture of Orpheus CAPITALS for web data and big data analytics. It is based on data innovation patents. We are ready with the first phase launch of a web portal for financial markets and data analytics for the global investment community. Later the web analytic tools are used to address big data solutions, improve semantic web search and offer analytic services for a cross-section of businesses. EconoHistory disrupts the following four broad areas. Data Visualization and Analytics (First Stage) New Age Data mining Challenging Google Analytics on Semantic Web search Creating a market for data exchange Next generation predictive tools EconoHistory enables the World Wide Web community to search data visualization for global traded assets from approximately 35 stock exchanges. The beta version is up and running. EconoHistory uses data innovation tools to accomplish the following in the first stage. Create a global database covering 35 stock exchanges Rank Assets using proprietary algorithm Page 1 of 17

3 Develop Data Visuals (up to 300 types) Generate Trade and Investment Signal Tables Produce Portfolio Management Tools Complete Generic Query and dynamic Queries Disseminate information about Orpheus Risk Management Indices (ORMI) Incorporate Sector and Intermarket Analysis Disseminate Orpheus Research Reports Customization of portal for user dashboards 3. Current Business Model Gaps in the Financial Information Sector Data visuals are a new way to see financial data. On one side Orpheus is competing directly with the current financial information portals like Google Finance and Yahoo Finance, but our niche is different as we target a smaller more specialized audience focused on data and data visuals rather than just news and information. The price information is the only overlap, the data visuals, the predictive tools, the numerous elements, research and group representation are new elements that we add to the current business model of financial portals. Yahoo Finance and Google Finance are the top visited stock market one-stop information sites. These portals have a limitation in terms of visual elements and offer analyses of only one asset at a time. The idea of looking at visuals or search a group of markets simultaneously for predictive or analytic solutions is not there because it s assumed that assets and regions are disconnected. Generating visual information also needs statistical modeling, which is a niche. The old model lacks both statistical modeling and data understanding and hence has limited visual elements for any information compared to EconoHistory, which can have numerous elements for a single data parameter. The old model is about one element while EconoHistory is about numerous customizable elements. Page 2 of 17

4 4. Business Gaps in the current Web Search Model Orpheus is not building a direct competitor to Google Search, what we are doing is connecting data visualization with search data. In the first stage we connect the capital market data visualization with related search, and then in the second stage we do it for universal data (on or off the web). A competing example is WolframAlpha, which is a search engine providing different elements on search. Though WolframAlpha provides elements, the focus is not on data visualizations. The current search model is about indexing and displaying. It does not tie the visual to the information, is not suggestive, is not a mind map, does not cluster a related group of information based on different relevance parameters. These are all the things EconoHistory will do. EconoHistory not only catalogues data parameters improving search semantics but also lets the user use a cognitive approach to search. EconoHistory allows the user to connect one variable with another e.g. gold with oil, or a social variable with another economic variable. Another example could allow a user searching for gold to connect the gold price growth in a technical chart with frequency of gold as a search term on the web. This way the user can explore connections of gold as a web search with seasonality of gold price. Page 3 of 17

5 The EconoHistory model combines functionality of Google Search, Google Trends, Google Charts, Google Finance etc. all in one. Here is an example of Google Trends on gold and gold prices. The service just catalogues frequency of search without any predictive elements. Now, this is how EconoHistory illustrates a similar parameter search on gold and gold prices. EconoHistory illustrates seasonality, rankings, visualizations and numerous other elements based on whether the user is in open access domain, subscription based or one with a customization request. Page 4 of 17

6 Comparison of Google Indexed search with search linked with data visualizations. Because of EconoHistory s focus on data visualizations the EconoHistory search page looks different from Google search. EconoHistory connects data visualization with related search, while Google catalogues the top searched without any reference to data visualization. 5. The data visual market Though info-graphics have taken the visual information market to the next stage, current visual tools or web services are more illustrative than predictive. EconoHistory bridges the gap between big data, illustration and predictiveness. It addresses all data sets in a comprehensive fashion i.e. both capital and non-capital market while the competitors address capital markets, economic data, social data separately. The capital market space also is poor in data visualizations and just includes price charts and not scatter diagrams, curves, three dimensional visualizations etc. Data visualization is an untapped market which can cater to and create a large global community. The following are a few services that address data visualizations in the non-capital market space. Page 5 of 17

7 An example of non-predictive data visualization is the chart below. The chart illustrates the HIV infected percentage of adults but does not predict where the trend is continuing to increase and which areas the disease is on a reversal. EconoHistory can predict trends on shorter and longer term regionally and based on different age classifications etc. Infographics can depit data but not predict data trends. Page 6 of 17

8 6. Non-Financial Market We plan to build multiple portals for various industries like sports betting, auto, pharma, consumer goods etc. We also plan to build predictive engines for weather, sentiment and scientific forecasting etc. We are already working on predictive solutions for a sentiment analytics company. 7. EconoHistory elements The portal launches a series of elements (indicators) viz. Jiseki Cycles, Time cycles, annual seasonality, Hurst Cycles, Sine Curves, statistical plots, fundamental plots, technical analysis, indices, portfolio calculators, screeners, customized dashboards, etc. The majority of these elements are proprietary and developed in-house by Orpheus Capitals. Most are niche and there is no web portal that carries such a comprehensive list of elements on a global market place in one place. The biggies like Yahoo Finance and Google Finance have limited elements and need data innovation in order to expand their list of elements. The risk metrics are driven by our Jiseki Time Cycles, which are seasonal patterns of strength or weakness in assets. They are derived from percentile rankings from 1 to 100. The higher the percentile the greater the chance for an asset to weaken, while the worst the ranking, the better the chance for the respective asset to outperform in the future. 100 is top relative performance and 1 is worst performance. The idea is that performance is cyclical. A top performer will underperform in the future and vice versa. A top relative performer is also the worst value pick and the top relative underperformer is the best value pick. Jiseki is another name for Performance Cycles. The signals are illustrated as a running portfolio and as Jiseki Indices. These signals can be used by fund managers for relative allocations, traders for leverage bets and high net worth clients for selective trades. Other Competing Sites Many of the popular web portals like FINVIZ have limited elements in their Elite subscription based module. The FINVIZ stock screener available online with interactive markets maps are limited. EconoHistory can keep adding innovative screens and queries to its template. Page 7 of 17

9 Element Examples Comparative Price Charts with proprietary indices and respective universe. Statistical Distribution plots Page 8 of 17

10 Ranking histograms Jiseki Performance Cycles Performance ranking tables with return values Page 9 of 17

11 8. The Front End There are two ways to reach EconoHistory, one from the corporate site of Orpheus Capitals and the other directly from the EconoHistory page. The front-end would be a simple search button like in Google or Wolframalpha. In the first stage the search button will cater only to exchange traded assets. Anything that is exchange traded will be searchable based on region, asset, instrument and other numerous classification parameters. After the search there will be a panel for open access users with free elements, primers etc. Page 10 of 17

12 Page 11 of 17 EconoHistory Data is a snowflake

13 Paid users will have pre standardized dashboards. Customized users will have numerous templates, as and how they define it. Page 12 of 17

14 9. Current Infrastructure We plan a front end with 300 elements to be completed by Jun The number of elements should go up to 1000 by Dec Most of the programming is internal. In the last two years Orpheus has developed a proprietary database and is now ready with the front end for EconoHistory. We are enhancing the front end and seamlessly connect it to the backend, as well as to continue to enhance the back end functionality. The completed features include a website for a display of all Indices, analytic features, sliders etc. The current database has 35 stock exchanges. A basic front end for Analytics (India, US, Canada) with search function for elements is shortly to go live. R Studio and R apache integration for automating Web Templates is in place. The basic front end is already live. What is planned with the investment? Seamless integration with administration security and online store Intra-day data Improved navigation More proprietary elements Covering most major markets and stock exchanges Covering all asset classes viz. foreign exchange, commodities, bonds and equities. Increase number of elements to 1000 Research & Development Marketing & Sales 10. Functionality and Query ability Query Systems; Metadata: The search button would choose from a default menu of capital market templates as explained below to generate search queries. For example Gold could deliver the following search results. - Gold Jiseki Cycles - Gold Relative Performance vs. Dow 30 - Gold rankings among various basic and precious metals - Gold last 10 trade signals - Gold last 10 investment signals Page 13 of 17

15 - Various Gold Instruments covered - Gold historical price chart and technical analysis - Etc. Another EconoHistory query example can be. create top Dollar denominated 500 group of cross asset indices select worst 36 months losers filter for positive performance Jiseki Cycles filter for positive price trend filter them for under 30 per centile performance metrics rank them for volatility rank them for monthly relative ranking fix the portfolio size to 10 components generate running portfolio and equity curve Capital Market Module. This module is a logical flow for the search logic. Page 14 of 17

16 T+90 updates available for free access Daily updates for paid subscriptions Community only uses individual elements Paid users get dashboard and customized set of elements Web Search Owing to the scalability of the modules, a pie of web search can also be addressed by EconoHistory. This web search will be linked to data visualization. Whatever data can be turned to a visual, the related search for that data will be catalogued. This section will address what search parameters are becoming more relevant and which search parameters are dropping in relevance. Page 15 of 17

17 Economic Data....is widely used by banks and financial intermediaries. This is why we want to address statistical and economic data as a stand-alone module. For example OECD.ORG disseminates economic data. A generic Decision Support Portal is recommendation based analytics built around various proprietary elements for universal data. Any user looking for trends on non-capital market data can use the model based recommendations. For example, a retailer interested to see how milk usage is trending, whether it is increasing or decreasing. SEO optimization tool: There are various businesses formed around Search Engine Optimization like Ubervu.com. EconoHistory can also address a share of the SEO business by allowing SEO users to load in their internal data and seeking analytics and recommendations on the same. Sector Portals: The Orpheus data innovation can assist businesses across sectors to look at industry data in a novel and predictive way. For example a lot of auto sector data is available online. This data can be structured and represented and further populated by contributors from the auto industry. This makes it an Auto portal for predictive auto trends and data visualizations linked to auto sector. The same exercise can be tied to other sectors like pharmaceuticals, banking, retailing etc. 11. FAQ s Do portfolio management platforms being offered do similar things? The difference is that our portfolio management systems come with portfolio products, indices like RMI, signal generation products and data visualization tools. What is the demand? There is an increase in low cost passive money management solutions compared to money managers. There is an increasing need for data visualization products and predictive tools. How will customers be acquired? New clients would be acquired through EconoHistory through a global web interface with an electronic store. Will patented data innovation be licensed? How will it be used beyond the portal? All usage of the patented technology will be disseminated and published through EconoHistory exclusively Page 16 of 17

18 How will EconoHistory be incorporated into Orpheus corporate site? The current website will have a homepage for indices, analytics and blogs and will feature a connection to EconoHistory search functionality versatile tool. How will EconoHistory scale up? After India, US, Canada and UK, EconoHistory will roll out Brazil, Australia, China and Japanese equity markets. The analytics will be launched in local languages. Is there a solution for execution planned through EconoHistory for user members who want to invest or trade? Based on future growth plans we plan to add an execution system to EconoHistory so that the community could execute trades and investments through the portal. However, that will likely be a few years away. First, might be an interface with existing brokerage platforms that allow orders from EconoHistory to signal trade generation at customers existing brokerage. EconoHistory I econohistory.com mukul.pal@orpheusindices.com M: ; O: CONFIDENTIALITY NOTICE: The information contained in this communication is intended solely for the use of the individual or entity to whom it is addressed and others authorized to receive it. It may contain confidential or legally privileged information. If you are not the intended recipient you are hereby notified that any disclosure, copying, distribution or taking any action in reliance on the contents of this information is strictly prohibited and may be unlawful. If you have received this communication in error, please notify us immediately by responding to this and then delete it from your system. Orpheus Risk Management Indices is neither liable for the proper and complete transmission of the information contained in this communication nor for any delay in its receipt. Page 17 of 17

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