Investment Challenge Rules

Learn investing without real-money risk.

Every team starts with $100,000 in virtual cash. Simulated orders are server validated, use cached stock prices only inside the protected student area, and are enabled only during regular US market hours.

Core rule

Phronesia is free. This is an educational simulation only. No real money is used, this is not financial advice, no brokerage execution happens, and market data is used only inside the student competition area.

Trading rules

What teams can and cannot do.

Starting balance: $100,000 virtual cash.
No short selling and no margin borrowing.
Teams cannot buy more than available cash.
Teams cannot sell more shares than they own.
Options mode is educational, buy-only, virtual-only, and capped at 10% portfolio exposure.
Transaction fee: 0.1% per trade.
Buy/sell is enabled Monday-Friday, 9:30 AM-4:00 PM America/New_York.

Allowed universe

US stocks and ETFs.

Featured tickers are shortcuts. Inside the protected student area, teams can search additional valid US-listed stocks and ETFs supported by the market data provider.

SPY · ETFQQQ · ETFVTI · ETFGLD · ETFTLT · ETFAAPL · StockMSFT · StockNVDA · StockTSLA · StockJPM · StockKO · StockXOM · StockAMZN · StockMETA · StockGOOGL · StockAMD · StockNFLX · StockDIS · StockWMT · StockCOST · StockBAC · StockV · StockMA · StockPEP · StockMCD · StockORCL · StockCRM · StockINTC · StockBA · StockGE · Stock

Scoring model

Ranking is not only about profit.

WeightCategoryWhat it measures
40%Total returnHow much the portfolio grows or falls from the $100,000 starting balance.
20%Risk-adjusted performanceRewards return while penalizing unstable or highly risky results.
15%DiversificationFull score requires no asset above 20% of total portfolio value.
15%Investment thesisTeams explain asset choices, risks, diversification logic, and macro factors.
10%Drawdown controlRewards teams that avoid large peak-to-trough portfolio losses.

Investment thesis

Every team must explain the portfolio.

A strong thesis explains why the team chose the assets, what could go wrong, how the portfolio is diversified, and how interest rates, inflation, earnings, or news could affect returns.