Coder Social home page Coder Social logo

investment-advisor's Introduction

Investment Advisor

DEPRECATED: this repo is no longer actively maintained. It can still be used as reference, but may contain outdated or unpatched code.

The Investment Advisor Demo combines IBM Watson Personality Insights and IBM Watson Tradeoff Analytics services to recommend suitable funds and agents for clients. Fund recommendation is based on a client's risk propensity. Agent recommendation focuses on building long-term relationships with clients.

Getting Started

  1. Create a Bluemix Account

    Sign up in Bluemix, or use an existing account.

  2. Download and install the Cloud-foundry CLI tool

  3. Edit the manifest.yml file and change the <application-name> to something unique.

applications:
- name: <application-name>
  command: node app.js
  path: .
  memory: 1G
  services:
  - personality-insights-service-standard
  - tradeoff-analytics-service-standard

The name you use will determinate your application url initially, e.g. <application-name>.mybluemix.net.

  1. Create a FREE Mongodb database using MongoLab.

  2. Copy the database url for MongoDB to credentials.js, under database key.

  3. You may optionally modify the users.json file inside data folder. See Setting up users and funds data section for more information.

  4. Connect to Bluemix in the command line tool.

$ cf api https://api.ng.bluemix.net
$ cf login -u <your user ID>
  1. Create the Tradeoff Analytics service in Bluemix.
$ cf create-service tradeoff_analytics standard tradeoff-analytics-service-standard
  1. Create the Personality Insights service in Bluemix.
$ cf create-service personality_insights tiered personality-insights-service-standard
  1. Push it live!
$ cf push

See the full Getting Started documentation for more details, including code snippets and references.

Running locally

The application uses Node.js and npm so you will have to download and install them as part of the steps below.

  1. Copy the credentials from your personality-insights-service-standard and tradeoff-analytics-service-standard service in Bluemix to credentials.js, you can see the credentials using:

    $ cf env <application-name>

    Example output:

    System-Provided:
    {
    "VCAP_SERVICES": {
      "tradeoff_analytics": [{
          "credentials": {
            "url": "<url>",
            "password": "<password>",
            "username": "<username>"
          },
        "label": "tradeoff-analytics",
        "name": "tradeoff-analytics-standard-service",
        "plan": "standard"
     }]
    }
    }

    You need to copy username, password and url.

  2. Copy the credentials for MongoDB service in Bluemix to credentials.js, under database key.

  3. Install Node.js

  4. Go to the project folder in a terminal and run: npm install

  5. Start the application

  6. npm start

  7. Go to http://localhost:3000

Setting up users and funds data

The folder data contains the users and funds data files.

  • users.json contains all the application's users. For each user, you can specify one of two sources:
    • generic: The application expects to find user's content items in data/content_items folder. This files are according to Personality Insight's input definition, for example:

        {
          "contentItems": [
            {
              "id": "245160944223793152",
              "userid": "bob",
              "sourceid": "twitter",
              "created": 1427720427,
              "updated": 1427720427,
              "contenttype": "text/plain",
              "charset": "UTF-8",
              "language": "en-us",
              "content": "This is a sample tweet",
              "parentid": "",
              "reply": false,
              "forward": false
            },
            //...
          ]
        }
    • twitter: The application uses the user id as a TwitterID and will retrieve the user's data from twitter. In any case, you can specify/override the user's data in the users.json. You can find an example of this file in data/users.json.example.

  • recommendations contains three files used to generate the recommendations:
    • communication_channels.json:
    • funds_dilemma.json: this is the dilemma file to be used in Tradeoff Analytics analysis.
    • funds_personality.json: this data is used to generate the matching between clients and funds. Also provides engagement messages and strategies.
  • portraits contains images to be used as portraits.

License

This application code is licensed under Apache 2.0. Full license text is available in LICENSE.

Known bugs

No known bugs.

Troubleshooting

To troubleshoot your Bluemix app the main useful source of information are the logs, to see them, run:

$ cf logs <application-name> --recent

Contributing

See CONTRIBUTING.

Open Source @ IBM

Find more open source projects on the IBM Github Page

investment-advisor's People

Contributors

germanattanasio avatar jeff-arn avatar sirspidey avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

investment-advisor's Issues

Funds Personality Data

In this Investment Advisor Demo (https://github.com/watson-developer-cloud/investment-advisor), the fund's personality data is provided in the funds_personality.json file.

For example:

{
"traits": {
"Vulnerability": 0.49570000000000003,
"Stability": 0.9956999999999999,
"Ideal": 0.49570000000000003,
"Conservation": 0.49570000000000003,
"Cautiousness": 0.9956999999999999,
"Orderliness": 0.49570000000000003,
"Structure": 0.5043
},
"message": "Since you appear to be a cautious person, I'd recomment this utilities fund.",
"strategy": "This person appears to be very cautious so they like to know the details of a product so they can better predict the outcome. They are slow to trust but once they do they stay loyal so invest the time to make them comfortable. They will be skeptical of something that sounds too good so give a balanced pictures of the rewards and risks. If relevant, mention how the product helps the community.",
"id": 0,
"label": "Select Utilities Portfolio"
}

How are the values for Vulnerability, Stability, Ideal etc being calculated for each fund?

Thanks,

Hardeep

"Deploy to Bluemix" button fails

The app does not start and fails with:

App/0/home/vcap/app/node_modules/mongoose/node_modules/mongodb/lib/server.js:2422016-10-11T14:33:21.642+1100
App/0 process.nextTick(function() { throw err; })2016-10-11T14:33:21.643+1100
App/0 ^2016-10-11T14:33:21.644+1100
App/0 at /home/vcap/app/node_modules/mongoose/lib/connection.js:480:152016-10-11T14:33:21.645+1100
App/0 at emit (events.js:172:7)2016-10-11T14:33:21.645+1100
App/0 at /home/vcap/app/node_modules/mongoose/lib/connection.js:284:192016-10-11T14:33:21.645+1100
App/0 at /home/vcap/app/helpers/mongoose-utils.js:35:172016-10-11T14:33:21.645+1100
App/0 at emitTwo (events.js:87:13)2016-10-11T14:33:21.645+1100
App/0 at emitTwo (events.js:87:13)2016-10-11T14:33:21.645+1100
App/0Error: Couldn't connect to Mongo Database. Please check your credentials. Root cause: getaddrinfo ENOTFOUND HOST HOST:270172016-10-11T14:33:21.645+1100
App/0 at null.<anonymous> (/home/vcap/app/node_modules/mongoose/node_modules/mongodb/node_modules/mongodb-core/lib/connection/pool.js:119:12)2016-10-11T14:33:21.645+1100
App/0 at emit (events.js:172:7)2016-10-11T14:33:21.645+1100
App/0 at g (events.js:260:16)2016-10-11T14:33:21.648+1100
App/0 at g (events.js:260:16)2016-10-11T14:33:21.645+1100
App/0 at null.<anonymous> (/home/vcap/app/node_modules/mongoose/node_modules/mongodb/node_modules/mongodb-core/lib/topologies/server.js:218:12)2016-10-11T14:33:21.645+1100
App/0 at /home/vcap/app/node_modules/mongoose/lib/drivers/node-mongodb-native/connection.js:69:212016-10-11T14:33:21.645+1100
App/0 at /home/vcap/app/node_modules/mongoose/node_modules/mongodb/lib/db.js:231:142016-10-11T14:33:21.645+1100
App/0npm ERR! Linux 3.19.0-33-generic2016-10-11T14:33:21.698+1100
App/0npm ERR! node v4.5.02016-10-11T14:33:21.708+1100
App/0npm ERR! argv "/home/vcap/app/vendor/node/bin/node" "/home/vcap/app/vendor/node/bin/npm" "start"2016-10-11T14:33:21.702+1100
App/0npm ERR! npm v2.15.92016-10-11T14:33:21.710+1100

Obviously linked to #2 as there is no MongoDB service declared in manifest.yml.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.