AUTOMATED SELECTION AND PROCESSING OF FINANCIAL MODELS
A system for automated selection and processing of financial models. A time series data retrieval and storage server observes and records a first dataset from external sources, and retrieves a second dataset comprising previously observed, processed, and stored data. A directed computational graph analysis module retrieves gathered data and comparatively analyzes the first dataset against the second dataset to determine an optimal model to use for predictive simulation. An automated planning service module retrieves analysis results and performs predictive simulation using the previous determined optimal model with the first dataset as input.
1 . A system for automated selection and processing of financial models, comprising:
a time series data retrieval and storage server comprising a memory, a processor, and a plurality of programming instructions stored in the memory thereof and operable on the processor thereof, wherein the programmable instructions, when operating on the processor, cause the processor to:
observe and record a first dataset from a plurality of external sources; and
retrieve a second dataset comprising previously observed, processed, and stored data;
a directed computational graph analysis module comprising a memory, a processor, and a plurality of programming instructions stored in the memory thereof and operable on the processor thereof, wherein the programmable instructions, when operating on the processor, cause the processor to:
retrieve the first and second datasets from the time series data retrieval and storage server; and
comparatively analyze the first dataset against second dataset to determine an optimal model to use for predictive simulation; and
an automated planning service module comprising a memory, a processor, and a plurality of programming instructions stored in the memory thereof and operable on the processor thereof, wherein the programmable instructions, when operating on the processor, cause the processor to:
retrieve analysis results from the directed computational graph analysis module; and
perform predictive simulation using the previous determined optimal model with the first dataset as input.
2 . The system of claim 1 wherein at least a portion of the data is analyzed using dynamic time warping to determine the optimal model.
3 . The system of claim 1 wherein at least a portion of the data analyzed is the phase, magnitude, and topology.
4 . The system of claim 1 wherein at least a portion of the data gathered and processed comprises financial market data.
5 . The system of claim 1 wherein at least a portion of the data gathered and processed comprises financial news.
6 . The system of claim 1 wherein at least a portion of the data is processed using clustering analysis.
7 . The system of claim 1 wherein at least a portion of the data processed is user input during the processing of data.
8 . The system of claim 1 wherein analysis results are further processed and analyzed to generate advisable next steps at a user.
9 . A method for automated selection and processing of financial, comprising the steps of:
(a) observing and recording a first dataset from a plurality of external sources using a time series data retrieval and storage server;
(b) retrieving a second dataset comprising previously observed, processed, and stored data using the time series data retrieval and storage server;
(c) retrieving the first and second datasets from the time series data retrieval and storage server using a directed computational graph analysis module;
(d) comparatively analyzing the first dataset against second dataset to determine an optimal model to use for predictive simulation using the directed computational graph analysis module;
(e) retrieving analysis results from the directed computational graph analysis module using an automated planning service module; and
(d) performing predictive simulation using the previous determined optimal model with the first dataset as input using the automated planning service module.
10 . The method of claim 9 , wherein at least a portion of the data is analyzed using dynamic time warping to determine the optimal model.
11 . The method of claim 9 , wherein at least a portion of the data analyzed is the phase, magnitude, and topology.
12 . The method of claim 9 , wherein at least a portion of the data gathered and processed comprises financial market data.
13 . The method of claim 9 , wherein at least a portion of the data gathered and processed comprises financial news.
14 . The method of claim 9 , wherein at least a portion of the data is processed using clustering analysis.
15 . The method of claim 9 , wherein at least a portion of the data processed is user input during the processing of data.
16 . The method of claim 9 , wherein analysis results are further processed and analyzed to generate advisable next steps at a user.