14. What is Robo-Advisor 14
Maximize: Performance(Portfolio)
Constraint: Individual Financial Needs
15. Deep learning Overview 15
PROS.
- ??? ??? ????? ?? ??? ??? ?? ?? ??
- Data? ??? ???? ??? ?? ?? ? ?? ??
CONS.
- Big Data / Real Time Data Feeding
- Engine Model / Data Quality / Data Scientist / Domain Knowledge
- Cost
16. Deep learning Overview 16
No-Model
Tagged-Data
Deep Learning
Non-Linear
Built-in Algorithm
Research-driven
Data-fitting
Linear
AI ROBOT
17. 1) Macro/Micro Data
2) Fundamental Data
3) Other time-series data
Deep learning in Finance - Qraft Deep Portfolio Engine
Market Data (in time series)
Generated
Portfolio
?????
Best
Portfolio
Comparison
VS.
Back Propagation (?? ??? ????? ??? ??)
17
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?????: APPARATUS AND METHOD FOR PORTFOLIO PREDICTION AND MODEL GENERATION OF ROBOADVISOR SERVICE