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Opera Solutions, LLC
                                                                                                                                                                                                         180 Maiden Lane
                                                                                                                                                                                                                 17th Floor
                                                                                                                                                                                                       New York, NY 10038
                                                                                                                                                                                              +1 (646) 437 2100 telephone
                                                                                                                                                                                               +1 (646) 437 2101 facsimile
                                                                                                                                                                                                 www.operasolutions.com




Introduction to Global Markets SignalHubTM + Applications
A discussion document




NOTICE: Proprietary and Confidential
This material is proprietary to Opera Solutions. It contains trade secrets and confidential information which is sole property of Opera Solutions. This material is solely for the Client’s
internal use. This material shall not be used, reproduced, copied, disclosed, transmitted, in whole or in part, without the express written consent of Opera Solutions.
© 2012 Opera Solutions, LLC. All rights reserved.
Overview: Opera Solutions

  • 700+ people – 220+ data scientists and machine learning experts
  • Offices in North America, Europe, Asia
  • Blue chip, global customer list


            Scientists                                                                           Solutions
                                                                                               Delivered As A
                 +                                                                                 Service
     Domain Experts                                                                          VERTICAL


         Big Data
                 +                                     Platform to
                                                     automate and
                                                                       SignalHubs™
                                                                       Dynamic collections
                                                                                             Applications for defined
                                                                                             industry/functional
                                                                                             problems
        Management                                      scale the      of powerful Signals

                 +
            Software
                                                    development and
                                                     delivery of Big
                                                                       and advanced
                                                                       models for specific
                                                                                             ENTERPRISE
                                                                                             Transformative capabilities
           Developers                                                  industries and
                                                     Data analytics                          to fuel productivity, profit,

                 +
                                                                       functional areas      and performance for
                                                                                             Global 250
    Deployment and
    Ongoing Delivery


© 2012 Opera Solutions, LLC. All rights reserved.                                                                            2
The Asset Manager’s Challenge
Participants in the markets face a new environment with issues manifested at an unprecedented
scale and complexity; conventional approaches fail to address these challenges


       CURRENT ENVIRONMENT                                    THE CHALLENGE


              Underutilized
             Enterprise Data

                                                          Improve the speed
         Fragmented                                       and consistency of
     Systems & Processes                                 key risk and portfolio
                                                         management decisions

                       Market
                      Volatility


© 2012 Opera Solutions, LLC. All rights reserved.                                               3
Our Approach to Solving the Challenge – Man + Machine



                                                    LESSONS FROM CHESS

                                                    “An intelligent machine can almost always beat an
   MACHINE INTELLIGENCE                             intelligent human… but the combination of even an


             HUMAN INSIGHTS
                                    +               average player with an intelligent machine can always
                                                    beat an intelligent machine or an intelligent human.”

                                                                                   Garry Kasparov, ex-world chess champion,
                                                                                        who played IBM’s Deep Blue in 1997


                                                    “Machine intelligence has become
              DECISION MAKING                       more critical in my decisions and
                                                    points to many new and
                 EXCELLENCE
                                                    unusual ideas.”

                                                    Vishy Anand, current world chess champion




© 2012 Opera Solutions, LLC. All rights reserved.                                                                             4
Global Markets SignalHubTM and Applications
We convert ‘Big Data’ into a continuous flow of signals manifested as applications




        Data
 Best-in-class capabilities
 in integrating internal
 and external data
 sources:

 Intra-Enterprise
 • Portfolio Info
 • Transactions                                       DNA                            SignalHubTM       Applications
 Inter-Enterprise
 • Research                                         Proprietary techniques     Advanced algorithms     Serving up Signals
 • Trade ideas                                      used to deconstruct data   producing 9000+ daily   through intuitive
                                                    into defining              Signals for             interfaces to convert
 • Products/Strategies
                                                    characteristics            sales, research, and    insights into actions
 Extra-Enterprise                                                              trading
 • News/Transcripts
 • Events
 • Social Media
 • Blogs
 • Market Data
 • Macro Economic data


© 2012 Opera Solutions, LLC. All rights reserved.                                                                              5
SignalHubTM for Global Markets - Topography
 Opera’s advanced algorithms generate over 9000+ signals on a daily basis with reason codes and
 rationale across asset classes

                                                      All signal types have certain qualities that describe how quickly signals can be generated
       Signal Attributes                              (frequency), how often they signals vary (rate of change), whether they are forward looking
                                                      (quality), and how responsive they are to stimulus (sensitivity)

                  Frequency                                 Rate of Change                          Quality                             Sensitivity
                  High or Low                                Slow or Fast                  Predictive or Descriptive              Sensitive or Insensitive




                                                                              Event/Alert/
       Sentiment                                     Behavior                                                  Clusters                      Correlation
                                                                                Anomaly
Expressed as                                These signals identify        A discrete signal              Signals based on an              Measures the
positive, neutral, or                       persistent trends or          generated when                 entity’s cohort                  correlation of entities
negative, the prevailing                    patterns in behavior          certain threshold              characteristics:                 against their
attitude towards an                         over time. Examples           conditions are met                                              prescribed attributes
entity. Can apply to:                       include:                      such as:                       • Ultra high net worth           over time:
                                                                                                           clients with similar
• Security, e.g. AAPL, IBM                  • Market direction,           • Withdrawal exceeds 3x          high frequency                 • Stock prices within a
                                              magnitude                     daily average                  transactions are                 sector
• Asset Class. e.g. corporate                                                                              invested in PCY.
  bond                                      • Propensity to transact      • Rating downgrade                                              • Unemployment rate
                                              (buy or sell)                                              • Financial advisors               impact on bonds of
• Market, e.g. US, BRIC                                                   • Increased trading              with a focus on ETFs             similar duration and
                                            • Aggregate money flow          activity that deviates         and a minimum 5                  rating
• Research Interest, e.g.                                                   from stated risk               year are buying
  Greek debt crisis                                                         tolerance level                corporate bonds.


 © 2012 Opera Solutions, LLC. All rights reserved.                                                                                                                  6
Converting Signals to Action: Our Applications
  Opera’s SignalHubTM supports many applications/products that provide sustainable increase in
  business

                                                                                  • Suggest and promote innovative
                                                      Institutional Research        trade ideas and content


                                                                                          • Match suitable trades for specific
                                                             Institutional Insights         institutional clients or prospects
Signals combined with advanced
  visualization, contextualizing
 insights and facilitating action

                                                                                            • Minimize portfolio investment risk
                                                               Unintentional Risk
                                                                                              and optimize risk diversification



                                                                Portfolio                    • Provide innovative tools to
                                                                Optimization                   optimize client assets


                                                             Fraud                         • Identify trading anomalies for potential
                                                             Detection                       fraudulent likelihood and market risk


                                                       Hedge                          • Identify unintentional risk and suggest
                                                       Identification                   low basis risk hedges
  © 2012 Opera Solutions, LLC. All rights reserved.                                                                                     7
Opera’s Delivery Model for SignalHubTM + Applications
Opera will configure and deliver a fully customized solution and provide ongoing services to
ensure continuity, improvement and wide adoption of the solution



  C U S T O M I Z AT I O N                             DEPLOYMENT                            ONGOING SERVICE



                                       Define        Operationally lean                       Platform                  Algorithm
                                    requirements       infrastructure                        maintenance              improvement
    Interview
  stakeholders

                                                                                                            Opera
                                                                                                           Insights
                                            Assess                                                         Bureau
                                             data
     Customize                                                            Fully secure and     Offline                  Usage
      platform                                                               compliant        analytics                monitoring




© 2012 Opera Solutions, LLC. All rights reserved.                                                                                   8
Illustrative Work Plan (1 of 2)
  Below is a work plan outline of a SignalHubTM + Apps solution development process; the
  definition phase can be kicked off immediately independent of any external constraints


                                          1           Definition                      2          Customization

                                        Set up planning workshops to create a      1. Develop execution plan
  Project                               preliminary work plan and to establish a   2. Set up measuring and tracking
Management                              project structure                             mechanism

                                   1. Set up technology, analytics and data        1. Clean, link, and organize disparate data
                                      workshops to understand existing data           sources
SignalHubTM                           content, sources of data, data               2. Customize algorithms to extract signals
                                      structure, and systems                          from data
                                   2. Set up business workshops to articulate
                                      the business problem, to understand
                                                                                   1. Customize visualization components
                                      the business need, and to brainstorm
Applications                                                                          and assemble the applications
                                      potential SignalHubTM applications
                                                                                   2. Create support documentation


                                  1. Definition of the                             1. User Acceptance Testing (UAT) signoff
                                     concept, scope, timelines, and the key        2. Deployment - ready solution
Deliverables                         deliverables
                                  2. A final client requirements document
  © 2012 Opera Solutions, LLC. All rights reserved.                                                                              9
Illustrative Work Plan (2 of 2)
  Below is a work plan outline of a SignalHubTM + Apps solution development process; the
  definition phase can be kicked off immediately independent of any external constraints


                                          3           Deployment                  4        Ongoing Service

  Project                               Develop production support and           Ongoing production support and
Management                              maintenance plan                         maintenance


                                   1. Work with client to refine signals and     Monitor performance of signals to
SignalHubTM                           applications and to launch Beta version    continuously improve the signals and work
                                                                                 with client to identify new signals
                                   2. Obtain and incorporate feedback for
                                      continual improvement through Beta
                                      version release
                                                                                 Collaborate with client to improve
Applications                       3. Go live with SignalHubTM + Apps solution   applications and to identify new
                                                                                 applications



                                        Solution in production                   Incremental releases of the solution
Deliverables


  © 2012 Opera Solutions, LLC. All rights reserved.                                                                          10

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Putnam f01

  • 1. Opera Solutions, LLC 180 Maiden Lane 17th Floor New York, NY 10038 +1 (646) 437 2100 telephone +1 (646) 437 2101 facsimile www.operasolutions.com Introduction to Global Markets SignalHubTM + Applications A discussion document NOTICE: Proprietary and Confidential This material is proprietary to Opera Solutions. It contains trade secrets and confidential information which is sole property of Opera Solutions. This material is solely for the Client’s internal use. This material shall not be used, reproduced, copied, disclosed, transmitted, in whole or in part, without the express written consent of Opera Solutions. © 2012 Opera Solutions, LLC. All rights reserved.
  • 2. Overview: Opera Solutions • 700+ people – 220+ data scientists and machine learning experts • Offices in North America, Europe, Asia • Blue chip, global customer list Scientists Solutions Delivered As A + Service Domain Experts VERTICAL Big Data + Platform to automate and SignalHubs™ Dynamic collections Applications for defined industry/functional problems Management scale the of powerful Signals + Software development and delivery of Big and advanced models for specific ENTERPRISE Transformative capabilities Developers industries and Data analytics to fuel productivity, profit, + functional areas and performance for Global 250 Deployment and Ongoing Delivery © 2012 Opera Solutions, LLC. All rights reserved. 2
  • 3. The Asset Manager’s Challenge Participants in the markets face a new environment with issues manifested at an unprecedented scale and complexity; conventional approaches fail to address these challenges CURRENT ENVIRONMENT THE CHALLENGE Underutilized Enterprise Data Improve the speed Fragmented and consistency of Systems & Processes key risk and portfolio management decisions Market Volatility © 2012 Opera Solutions, LLC. All rights reserved. 3
  • 4. Our Approach to Solving the Challenge – Man + Machine LESSONS FROM CHESS “An intelligent machine can almost always beat an MACHINE INTELLIGENCE intelligent human… but the combination of even an HUMAN INSIGHTS + average player with an intelligent machine can always beat an intelligent machine or an intelligent human.” Garry Kasparov, ex-world chess champion, who played IBM’s Deep Blue in 1997 “Machine intelligence has become DECISION MAKING more critical in my decisions and points to many new and EXCELLENCE unusual ideas.” Vishy Anand, current world chess champion © 2012 Opera Solutions, LLC. All rights reserved. 4
  • 5. Global Markets SignalHubTM and Applications We convert ‘Big Data’ into a continuous flow of signals manifested as applications Data Best-in-class capabilities in integrating internal and external data sources: Intra-Enterprise • Portfolio Info • Transactions DNA SignalHubTM Applications Inter-Enterprise • Research Proprietary techniques Advanced algorithms Serving up Signals • Trade ideas used to deconstruct data producing 9000+ daily through intuitive into defining Signals for interfaces to convert • Products/Strategies characteristics sales, research, and insights into actions Extra-Enterprise trading • News/Transcripts • Events • Social Media • Blogs • Market Data • Macro Economic data © 2012 Opera Solutions, LLC. All rights reserved. 5
  • 6. SignalHubTM for Global Markets - Topography Opera’s advanced algorithms generate over 9000+ signals on a daily basis with reason codes and rationale across asset classes All signal types have certain qualities that describe how quickly signals can be generated Signal Attributes (frequency), how often they signals vary (rate of change), whether they are forward looking (quality), and how responsive they are to stimulus (sensitivity) Frequency Rate of Change Quality Sensitivity High or Low Slow or Fast Predictive or Descriptive Sensitive or Insensitive Event/Alert/ Sentiment Behavior Clusters Correlation Anomaly Expressed as These signals identify A discrete signal Signals based on an Measures the positive, neutral, or persistent trends or generated when entity’s cohort correlation of entities negative, the prevailing patterns in behavior certain threshold characteristics: against their attitude towards an over time. Examples conditions are met prescribed attributes entity. Can apply to: include: such as: • Ultra high net worth over time: clients with similar • Security, e.g. AAPL, IBM • Market direction, • Withdrawal exceeds 3x high frequency • Stock prices within a magnitude daily average transactions are sector • Asset Class. e.g. corporate invested in PCY. bond • Propensity to transact • Rating downgrade • Unemployment rate (buy or sell) • Financial advisors impact on bonds of • Market, e.g. US, BRIC • Increased trading with a focus on ETFs similar duration and • Aggregate money flow activity that deviates and a minimum 5 rating • Research Interest, e.g. from stated risk year are buying Greek debt crisis tolerance level corporate bonds. © 2012 Opera Solutions, LLC. All rights reserved. 6
  • 7. Converting Signals to Action: Our Applications Opera’s SignalHubTM supports many applications/products that provide sustainable increase in business • Suggest and promote innovative Institutional Research trade ideas and content • Match suitable trades for specific Institutional Insights institutional clients or prospects Signals combined with advanced visualization, contextualizing insights and facilitating action • Minimize portfolio investment risk Unintentional Risk and optimize risk diversification Portfolio • Provide innovative tools to Optimization optimize client assets Fraud • Identify trading anomalies for potential Detection fraudulent likelihood and market risk Hedge • Identify unintentional risk and suggest Identification low basis risk hedges © 2012 Opera Solutions, LLC. All rights reserved. 7
  • 8. Opera’s Delivery Model for SignalHubTM + Applications Opera will configure and deliver a fully customized solution and provide ongoing services to ensure continuity, improvement and wide adoption of the solution C U S T O M I Z AT I O N DEPLOYMENT ONGOING SERVICE Define Operationally lean Platform Algorithm requirements infrastructure maintenance improvement Interview stakeholders Opera Insights Assess Bureau data Customize Fully secure and Offline Usage platform compliant analytics monitoring © 2012 Opera Solutions, LLC. All rights reserved. 8
  • 9. Illustrative Work Plan (1 of 2) Below is a work plan outline of a SignalHubTM + Apps solution development process; the definition phase can be kicked off immediately independent of any external constraints 1 Definition 2 Customization Set up planning workshops to create a 1. Develop execution plan Project preliminary work plan and to establish a 2. Set up measuring and tracking Management project structure mechanism 1. Set up technology, analytics and data 1. Clean, link, and organize disparate data workshops to understand existing data sources SignalHubTM content, sources of data, data 2. Customize algorithms to extract signals structure, and systems from data 2. Set up business workshops to articulate the business problem, to understand 1. Customize visualization components the business need, and to brainstorm Applications and assemble the applications potential SignalHubTM applications 2. Create support documentation 1. Definition of the 1. User Acceptance Testing (UAT) signoff concept, scope, timelines, and the key 2. Deployment - ready solution Deliverables deliverables 2. A final client requirements document © 2012 Opera Solutions, LLC. All rights reserved. 9
  • 10. Illustrative Work Plan (2 of 2) Below is a work plan outline of a SignalHubTM + Apps solution development process; the definition phase can be kicked off immediately independent of any external constraints 3 Deployment 4 Ongoing Service Project Develop production support and Ongoing production support and Management maintenance plan maintenance 1. Work with client to refine signals and Monitor performance of signals to SignalHubTM applications and to launch Beta version continuously improve the signals and work with client to identify new signals 2. Obtain and incorporate feedback for continual improvement through Beta version release Collaborate with client to improve Applications 3. Go live with SignalHubTM + Apps solution applications and to identify new applications Solution in production Incremental releases of the solution Deliverables © 2012 Opera Solutions, LLC. All rights reserved. 10

Hinweis der Redaktion

  1. 1) Traditional and new sources of ideas conveyed at an increased frequency complicating the harnessing and leveraging of intellectual capital2) Heighted awareness, sensitivity and expectations of service levels and demonstrated added value3) Weak credit markets, reduced deal flow and heighted regulation hindering the ability to align clients with suitable investmentsThe Challenge:Right products for right clients at right time True and transparent performance measurement
  2. DG: edit content around the signals (sentiment examples), How you feel: individual/groupExample:1. Positive or negative - Market sentiment2. Advisor research interest – what do advisors read3. Sensitivity of sentiment given current market state4. Transition probability between sentiment states/level ???What you do - Behavior – Time SeriesMarket direction, magnitudePropensity to transactAsset Allocation trendsAdvisors’ relative performanceEvent/Alert/Anomaly- Impulse (DG: change “Anomalies” to this title)Abnormal trading volumeRating change and price target changeMembership/Cluster: who belong to where based on criteria we measureTrading behaviourAsset allocationMarket cap, credit risk cluster, industry clusterMost/least popular productsCorrelation: relationship (DG: add another vertical) Market correlationSecurity correlationAttributes:1. Frequency – High/low – asset allocation trends monthly or daily or every 15 min.2. slow/fast signal given a frequency (if we measure asset allocation every 15 min it will be slow, if we measure monthly, it will be faster)3. Descriptive/PredictiveAlgo: (DG: add this to the sample algo section – these are bucketed)PCA, SVD, Wavelets – transform data in certain way – data compressionK-Means/Hierarchical/ Spatial– ClusteringSVM/NN/Logistical RegressionKalman Filtering/ARIMANLP – Name Entity recognition, Relationship discovery, Bagofkeywords, regression model