Smart Investment Solutions
A client of an investment firm has $10000 available for investment. He has instructed that his money be invested in particular stocks, so that no more than $5000 is invested in any one stock but at least $1000 be invested in each stock. He has further instructed the firm to use its current data and invest in the manner that maximizes his overall gain during a one-year period. The stocks, the current price per share and the firm’s predicted stock price a year from now are summarized below:
| Stock | Current Price | Projected Price 1 year |
| ABC | $25 | $35 |
| XYZ | $50 | $60 |
| TTT | $100 | $125 |
| LMN | $25 | $40 |
Your task is to create a decision model that can be used to make a smart investment while satisfying the client requirements for different combinations of stocks. Send your solutions to DecisionManagementCommunity@gmail.com.
Solutions:
- OPL/CPLEX – submitted by Alex Fleischer
- ProgressCorticon – submitted by Seth Meldon
- Prolog – submitted by Matteo Redaelli
- ChatGPT/ZIMPL – submitted by Rob Parker
- IPython/ortools – submitted by Ahmed, Faisal
- Llama3/CPLEX/Watsonx – submitted by Alex Fleischer
- cDMN – submitted by Simon Vandevelde
- ExcelSolver – submitted by Ian Detinich
- OpenRules RuleSolver – submitted by Ian Detinich
- …
dmcommunity.org 
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