Andrew Aymeloglu - Palo Alto CA, US Kevin Simler - Fremont CA, US Eric Poirier - San Carlos CA, US Garry Tan - Mountain View CA, US Brandon Burr - Palo Alto CA, US
Assignee:
PALANTIR TECHNOLOGIES, INC. - Palo Alto CA
International Classification:
G06Q 40/00
US Classification:
705 36 R
Abstract:
An object model is used to facilitate performing financial analysis and that includes certain zero-order objects or building blocks that lend themselves particularly well to doing financial analysis. The object model comprises a universe of data items, relationships between the data items, higher-order objects generated based on one or more data items in the universe, higher-order objects generated based on other objects, and auxiliary entities related to the universe of data items.
Dennis Rakhamimov - Palo Alto CA, US Eric Poirier - San Carlos CA, US
Assignee:
PALANTIR TECHNOLOGIES, INC. - Palo Alto CA
International Classification:
G06Q 40/00 G06F 17/30 G06F 7/06
US Classification:
705 36 R, 707E17014, 707E17044
Abstract:
Techniques for dynamic indexing are provided. In one embodiment, first instruments to be included in an index are identified at a first time. The index includes one or more first weights each of which is associated with a different instrument in the first instruments. One or more first time series for the first instruments are determined. Based on the one or more first time series and the one or more first weights, a collective value of the index is tracked as a function of time at least from the first time. At least one of a) the first weights and the first time, and b) the collective value as the function of the time is stored, in a physical storage device.
Andrew Aymeloglu - Palo Alto CA, US Kevin Simler - Fremont CA, US Eric Poirier - San Carlos CA, US Garry Tan - Mountain View CA, US Brandon Burr - Palo Alto CA, US
International Classification:
G06F 17/30
US Classification:
707748, 707E17014
Abstract:
Techniques are described for facilitating performing computer-implemented financial analysis. A metric that transforms one or more time series into an output object is identified. The one or more time series are determined based on one or more input objects. The metric is applied using the one or more time series, thereby generating a particular value for the output object. One of the metric and the particular value for the output object is stored in a physical storage device.
- Palo Alto CA, US Kevin Simler - Fremont CA, US Eric Poirier - San Carlos CA, US Garry Tan - Mountain View CA, US Brandon Burr - Palo Alto CA, US
International Classification:
G06Q 30/02 G06F 17/30
Abstract:
An object model is used to facilitate performing financial analysis and that includes certain zero-order objects or building blocks that lend themselves particularly well to doing financial analysis. The object model comprises a universe of data items, relationships between the data items, higher-order objects generated based on one or more data items in the universe, higher-order objects generated based on other objects, and auxiliary entities related to the universe of data items.
Name / Title
Company / Classification
Phones & Addresses
Eric Poirier Chief Executive Officer
Addepar LLC Business Services at Non-Commercial Site · Custom Computer Programing
1215 Terra Bella Ave, Mountain View, CA 94043 199 Marina Blvd, San Francisco, CA 94123
Eric Poirier Chief Executive Officer
Addepar Computer Software · Business Services at Non-Commercial Site · Custom Computer Programing
1215 Terra Bella Ave, Mountain View, CA 94043 199 Marina Blvd, San Francisco, CA 94123 1000 Marsh Rd, Menlo Park, CA 94025
Addepar
Chief Executive Officer
Palantir Technologies Aug 1, 2006 - Jan 1, 2013
Director
Lehman Brothers May 2003 - Jul 2006
Fixed Income Analytics
Education:
Columbia University In the City of New York Aug 2000 - May 2004
Bachelors, Bachelor of Science, Computer Science
Columbia University 2004
Nashua High School 1996 - 2000
Nashua High School South 2000