What Is Maximum Drawdown? How to Measure the Real Risk of an Investment

Educational research only — not investment advice.

Maximum drawdown measures the largest decline an investment experiences from a previous peak to a later low.

It answers a very practical question:

How bad did the investment get before recovering?

That makes drawdown one of the most useful ways to understand investment risk.

What Is Maximum Drawdown?

Imagine a stock rises from:

$100 → $120

Then falls to:

$90

The decline from the $120 peak to the $90 low is:

25%

That is the drawdown.

If this is the largest peak-to-trough decline during the period being studied, then the maximum drawdown is 25%.

Why Drawdown Matters

Two investments can produce the same final return but feel completely different along the way.

Imagine both eventually gain 20%.

But:

Investment A falls only 8% at its worst point.

Investment B falls 40% before recovering.

The final return is the same.

The risk experience is not.

That is why maximum drawdown can reveal information that average return misses.

Large Losses Are Harder to Recover From

Losses become increasingly difficult to recover as they grow.

If an investment falls:

10%, it needs about 11% to recover.

If it falls:

25%, it needs about 33%.

If it falls:

50%, it needs 100%.

This is why avoiding extremely deep losses can matter as much as finding strong returns.

Drawdown Is Different From Volatility

Volatility measures how much prices move around.

Drawdown measures how far an investment falls from its previous peak.

A stock can be volatile without experiencing a catastrophic drawdown.

Another stock might appear calm for months and then suffer one very large decline.

So investors should not treat volatility and drawdown as the same risk measure.

Historical vs Simulated Drawdown

Maximum drawdown can be measured in two ways.

Historical drawdown looks at what actually happened in the past.

Simulated drawdown estimates how severe future declines might become across many possible market paths.

Monte Carlo simulations can generate hundreds or thousands of outcomes and measure the drawdown inside each one.

That gives investors a broader view of potential downside risk.

A High Return Can Hide High Drawdown

Suppose one strategy earns 15% per year but regularly experiences 40% drawdowns.

Another earns 11% but rarely falls more than 15%.

The first has the higher return.

But some investors may prefer the second because the downside is easier to tolerate.

This is why return should be considered alongside:

drawdown + volatility + probability of loss + tail risk

What Is a “Good” Maximum Drawdown?

There is no universal number.

A reasonable drawdown depends on:

  • the asset
  • the time horizon
  • the strategy
  • the investor’s risk tolerance

A 20% drawdown may be normal for one strategy and extreme for another.

The important point is comparison.

Ask:

How much downside was required to achieve the return?

Track Drawdown With TradingSimuLab

TradingSimuLab’s Risk Simulation tools help users study maximum drawdown, downside risk, probability of gain and simulated future price paths.

This helps users evaluate not only how much an investment might return, but also how severe the journey could become.

For more quantitative market research and educational trading tools, sign up to TradingSimuLab.

TradingSimuLab is for educational and research purposes only and does not provide investment advice.

Continue exploring TradingSimuLab.

  • Oil Falls Back Below $100: Is the Middle East Energy Shock Finally Easing?

    Educational research only — not investment advice. The oil price today has fallen back below $100 as fears over Middle East supply begin to ease. Brent crude recently traded around $99 per barrel, after falling as low as $97.36. That is a major change from earlier September, when escalating conflict pushed oil sharply above $100.…

  • China’s Memory-Chip Breakthrough: Can CXMT Challenge Samsung, SK Hynix and Micron?

    Educational research only — not investment advice. Memory chip stocks are getting a new competitor. China’s CXMT has started mass production of its fifth-generation DRAM manufacturing platform, known as G5. The move matters because the global memory market is dominated by Samsung, SK Hynix and Micron. And AI is making memory more valuable than ever.…

  • America’s $7Billion Critical-Minerals Bet: Can Argentina Become a Lithium and Copper Powerhouse?

    Educational research only — not investment advice. Argentina lithium is becoming strategically important to the United States. The U.S. Export-Import Bank plans to provide up to $7 billion in financing for critical-mineral and energy projects in Argentina. The goal is straightforward: more lithium + more copper + more diversified U.S. supply chains. Why Argentina Matters…

  • Semiconductor Exports Surge: Is the AI Chip Boom Accelerating Again?

    Educational research only — not investment advice. Semiconductor stocks are rallying again as fresh Asian export data suggest the AI hardware boom remains strong. South Korean semiconductor exports surged 259.4% year over year during the first 20 days of September. Overall Korean exports jumped 78.3% to a record $71.4 billion for the period. The key…

  • Bank Stocks Fall While the Nasdaq Hits Records: What Is the Market Trying to Tell Us?

    Educational research only — not investment advice. Bank stocks are sending a very different signal from technology stocks. The Nasdaq just reached another record high, supported by AI and semiconductor companies. At the same time, JPMorgan and Wells Fargo fell more than 3%, while the broader financial sector dropped nearly 2%. The question is simple:…

  • Treasury Bonds After the Selloff: Are High Yields Finally Becoming an Opportunity?

    Educational research only — not investment advice. Treasury yields today are near levels rarely seen in the past two decades. The 10-year U.S. Treasury yield recently climbed above 5%, reaching about 5.04% before pulling back below that level. For bond investors, that creates an unusual situation: higher yields hurt existing bonds—but make new bonds more…

  • Big Pharma’s $400 Billion Patent Cliff: Are Drug Giants Heading for an M&A Boom?

    Educational research only — not investment advice. Pharma stocks are approaching one of the industry’s biggest challenges in years. Drugs generating roughly $400 billion in annual revenue could lose patent protection by 2033. When patents expire, cheaper generic or biosimilar competitors can enter the market and sales can fall rapidly. That creates a simple problem:…

  • The Data-Center IPO Boom: Can Accelevation Ride the AI Power and Cooling Shortage?

    Educational research only — not investment advice. Data center stocks are becoming one of the biggest secondary winners from the AI boom. Instead of designing GPUs or AI models, companies such as Accelevation sell the physical infrastructure needed to keep data centers running. That includes: power distribution + cooling + modular data-center systems Accelevation is…

  • AI Cybersecurity Arms Race: Can Palo Alto Networks Turn AI Hackers Into a Growth Market?

    Educational research only — not investment advice. Palo Alto Networks stock sits at the center of a growing AI cybersecurity race. AI is making it easier to find software vulnerabilities and automate attacks. Now Palo Alto Networks is using powerful AI models from OpenAI and Anthropic to help companies find those weaknesses before hackers do.…