What is Alpha in Finance?
Short answer: Alpha is the return you get that the market didn’t give you.
If the market goes up 10% and your portfolio goes up 15%, that extra 5% is your alpha. It means you (or your strategy) did something right — picked better assets, timed entries well, or managed risk smarter than just buying and holding the index.
The catch: Most people who think they have alpha actually just took on more risk. True alpha is rare. If someone promises you consistent alpha, ask how they’re measuring it — and be skeptical.
Why it matters for crypto: In a market this volatile, separating skill from luck is hard. A coin 10x’d? Was that alpha, or did you just ride a wave? Mark helps you see trend strength so you can tell the difference.
What is Beta in Finance?
Short answer: Beta measures how much an asset moves relative to the overall market.
- Beta of 1.0 = moves with the market
- Beta of 1.5 = moves 50% more than the market (up AND down)
- Beta of 0.5 = moves half as much as the market
- Negative beta = moves opposite to the market (rare)
Example: If Bitcoin is your “market” and an altcoin has a beta of 2.0, expect that altcoin to swing twice as hard in both directions.
Why it matters: High-beta assets amplify gains in bull markets and losses in bear markets. Know your portfolio’s beta before a correction hits.
What is Factor Investing?
Short answer: Factor investing means targeting specific characteristics that have historically driven returns.
Instead of just “buying good companies” or “picking winners,” factor investors look for patterns that have worked over decades of data — things like value, momentum, size, and low volatility.
The big idea: Markets reward certain risks consistently. If you can identify those factors and tilt your portfolio toward them, you might outperform over time.
Factors we’ll cover:
- Value (cheap assets)
- Momentum (assets already moving)
- Size (smaller = potentially higher returns)
- Low Volatility (boring often wins)
Low Volatility Factor Explained
Short answer: Low-volatility investing bets that boring, stable assets outperform on a risk-adjusted basis.
This sounds backwards. Shouldn’t higher risk = higher reward? In theory, yes. In practice, the data says otherwise.
Why it works:
- Leverage aversion — Most investors can’t or won’t use leverage, so they overpay for exciting, volatile stocks
- Lottery effect — People love moonshots and ignore steady performers
- Career risk — Fund managers get fired for being boring, so they chase volatility
The result: Low-vol assets are systematically underpriced relative to their actual returns.
In crypto: This is trickier because everything is volatile. But relatively lower-vol assets (BTC vs. micro-cap alts) often provide better risk-adjusted returns over full cycles.
Momentum Factor Explained
Short answer: Momentum investing means buying assets that are already going up, and avoiding (or shorting) assets going down.
“The trend is your friend” isn’t just a cliché — it’s backed by decades of data across stocks, bonds, commodities, and yes, crypto.
Why it works:
- Underreaction — News takes time to fully price in
- Herding — Winners attract more buyers, pushing prices higher
- Confirmation bias — People see gains and pile in
The risk: Momentum crashes hard at reversals. When the music stops, everyone runs for the exit at once.
Mark’s approach: We track momentum indicators (RSI, MACD, trend strength scores) to tell you where momentum is — not where it’s going. Big difference.
Value Factor Explained
Short answer: Value investing means buying assets that look cheap relative to their fundamentals.
In stocks, this means low price-to-earnings, price-to-book, or high dividend yields. The idea: markets overreact, and unloved assets eventually revert to fair value.
The challenge in crypto: Most tokens have no earnings, no book value, no dividends. So “value” has to mean something different:
- Network value vs. transaction volume
- Market cap vs. developer activity
- Price vs. on-chain fundamentals
Why it works (sometimes): Fear creates bargains. When everyone hates an asset, the remaining sellers are exhausted, and any good news creates asymmetric upside.
Why it fails (sometimes): “Cheap” can always get cheaper. Value traps are real.
Size Factor Explained
Short answer: The size factor says smaller companies (or assets) tend to outperform larger ones over time.
Small-cap stocks have historically beaten large-caps. The theory: smaller = riskier = higher expected returns to compensate.
In crypto terms: This would suggest micro-cap altcoins should outperform BTC over time.
Reality check: In crypto, the size effect is overwhelmed by:
- Rug pulls and scams in small caps
- Liquidity risk (you can’t exit a $10M market cap coin cleanly)
- Survivorship bias (we only see the small caps that made it)
The takeaway: Size factor exists, but in crypto, it’s buried under layers of additional risk that can wipe out the premium.
Risk Parity Strategy Explained
Short answer: Risk parity allocates your portfolio so each asset contributes equal risk, not equal dollars.
Traditional portfolios might be 60% stocks, 40% bonds. But stocks are way more volatile, so 90%+ of your actual risk comes from stocks. The bonds barely matter.
Risk parity fixes this:
- Measure each asset’s volatility
- Allocate more to low-vol assets, less to high-vol
- Use leverage (if needed) to hit your target return
Example: If Bitcoin is 4x as volatile as stablecoins, risk parity would put 4x more dollars in stablecoins to equalize the risk contribution.
In crypto: Pure risk parity is rare because everything correlates in a crash. But the principle — thinking about risk contribution, not just dollar allocation — makes you a smarter portfolio builder.
Equal Risk Contribution Portfolio Explained
Short answer: ERC is risk parity’s cousin — each asset contributes the same amount to total portfolio risk.
The math gets complex (covariance matrices, optimization algorithms), but the idea is simple: no single asset should dominate your risk profile.
Why bother?
- Diversification that actually works
- Less dependent on any single asset’s behavior
- Forced discipline in rebalancing
Practical version: If one holding has grown so large that it drives most of your P&L swings, you’ve drifted from equal risk contribution. Time to trim.
Minimum Variance Portfolio Explained
Short answer: A min-variance portfolio is built to have the lowest possible volatility for a given set of assets.
You’re not maximizing returns — you’re minimizing the ride’s roughness.
How it works:
- Calculate volatility and correlations for all assets
- Find the mix that produces the lowest overall portfolio volatility
- Accept that returns may be lower, but so are drawdowns
When it makes sense:
- You can’t stomach big swings
- You’re protecting capital, not swinging for fences
- You want to stay in the market without emotional exits
In crypto: A true min-variance portfolio would be almost entirely stablecoins and BTC. That’s not exciting — but “exciting” is often just another word for “stressful.”
These FAQs are part of MarketCrystal’s educational resources. Mark doesn’t predict markets — he reads them. [Learn more about trend analysis →]