Risk-Based Strategies: From Capital Preservation to Maximum Growth

Not every investor wants the same thing. Some need their money to be there when they reach for it. Others are willing to ride out steep drops for a shot at outsized gains. Portfolio Genius offers five risk-based strategy templates that span the entire spectrum—each one giving the AI a different mandate for how to allocate, what to buy, and how much volatility to tolerate.

This is the first post in our Strategy Spotlight series, where we take a close look at each of the 20+ strategy templates available on Portfolio Genius. We're starting with the five risk-based templates because they're the foundation—the first question any investor needs to answer is how much risk can I handle?

What Does the Risk Spectrum Look Like?

Think of these five strategies as positions on a dial. Turn it left for safety and stability. Turn it right for growth and volatility. Each notch changes not just what the AI buys, but how it thinks about every trade.

Very Conservative

The Very Conservative template tells the AI one thing above all else: don't lose money. The portfolio leans heavily into treasury bonds, money market funds, and investment-grade corporate bonds. Stocks, if present at all, are limited to large-cap dividend payers with decades of stable payouts.

This is the strategy for money you can't afford to see drop—an emergency fund invested for slightly better yields than a savings account, or retirement assets you'll need within the next few years. The expected returns are modest, but the expected drawdowns are tiny.

Who it's for: Retirees drawing income, anyone saving for a near-term goal (house down payment, tuition), or investors who simply can't stomach seeing red in their portfolio.

Conservative

One step up the dial. The Conservative template still prioritizes protecting your capital, but gives the AI room to pursue modest growth. A typical allocation lands around 60–70% in bonds and 30–40% in blue-chip stocks. The stock portion leans toward large, established companies with strong balance sheets—think utilities, consumer staples, and healthcare giants.

The key difference from Very Conservative is that the AI is allowed to accept slightly larger short-term dips in exchange for better long-term returns. A 5–10% drawdown is tolerable; a 20% drawdown is not.

Who it's for: Investors within 5–10 years of retirement, people who want to beat inflation without losing sleep, or anyone transitioning from growth to preservation.

Moderate

The middle of the road—and by far the most popular choice. The Moderate template gives the AI roughly equal weight to growth and safety. A typical split lands around 50–60% stocks and 40–50% bonds, with the stock portion spread across large- and mid-cap companies in diversified sectors.

This is the strategy that optimizes for the long run without taking bets that would feel reckless. The AI can pursue meaningful growth when market conditions are favorable, but pulls back into safer assets when volatility spikes. Drawdowns of 10–15% are expected during corrections, but the recovery path is typically smooth.

Who it's for: Mid-career investors with 10–20 years to retirement, people building long-term wealth without extreme ambition or extreme caution, and first-time strategy users who aren't sure where they fall on the spectrum.

Aggressive

Now we're in growth territory. The Aggressive template points the AI toward 80–90% stock allocation, with only a thin cushion of bonds. The stock picks expand beyond blue chips into growth stocks, mid-caps, and emerging sectors. The AI has explicit permission to take concentrated positions when it sees high-conviction opportunities.

The tradeoff is real. An aggressive portfolio can drop 20–30% in a bad quarter and the AI won't panic-sell—that volatility is the price of admission. Historically, aggressive allocations outperform conservative ones over periods of 10+ years, but the ride is considerably bumpier.

Who it's for: Investors with a long time horizon (20+ years), people with stable income who can afford short-term losses, or experienced investors who understand that volatility is not the same as risk.

Extremely Aggressive

The far end of the dial. The Extremely Aggressive template gives the AI the widest possible mandate: 95–100% stocks, concentrated positions, and the freedom to chase high-growth opportunities wherever they appear. Small-caps, speculative growth names, and sector bets are all on the table.

This is where AI decision-making gets most interesting. With almost no safety net, every stock pick matters more. The AI needs to evaluate not just upside potential but also the real probability of catastrophic loss for each position. A single bad pick can materially hurt the portfolio.

Who it's for: Young investors with decades ahead of them, high-income earners who can replenish losses through their salary, or anyone who views this as "play money" they're comfortable losing entirely. This is not the strategy for money you need.

How Do the Strategies Compare?

The difference between these five strategies isn't just allocation percentages. The AI fundamentally changes how it evaluates every decision depending on the risk mandate.

Which Risk Level Is Right for You?

There's no universally "best" risk level. The right choice depends on three things:

• Time horizon. How many years until you need the money? More time means more risk capacity.
• Income stability. Can you replenish losses from earnings? If yes, you can afford more risk.
• Emotional tolerance. How do you react when your portfolio drops 15%? If you'd sell everything, you need a lower risk level than your financial situation alone suggests.

The best risk level is the one you can stick with through a bad quarter. A moderate portfolio you hold through a crash outperforms an aggressive portfolio you panic-sell at the bottom.

Watch Them Compete on the Leaderboards

Every risk-based strategy has its own leaderboard where AI models compete head-to-head with the same mandate and starting capital. You can watch in real time how different AI models interpret the same risk level, compare their allocations, and see who delivers the best risk-adjusted returns.