Understand why we do quant trading: Alpha vs Benchmark, the problem with Buy and Hold, semi-automated vs fully automated modes, and key metrics for evaluating strategy performance
Why Do Quant Trading?
If you buy a stock today and find it has dropped 30% after holding it for a year, how would you feel?
"Why did I choose this one?" "Why didn't I exit earlier?" "If I had bought SPY, I wouldn't have lost this much..."
These are questions every active investor faces. Quantitative Trading (Algo Trading) was born precisely to solve these problems.
First, What Is Quant Trading?
Simply put, quant trading is using data and rules to make investment decisions, rather than relying on feelings, news, or "tips from others."
Traditional investors watch news, look at charts, and follow hype into the market. But quant traders:
- Test strategies with historical data to see if they work
- Use statistical indicators to screen for high-opportunity stocks
- Use preset rules to decide when to buy, when to sell, and how much to buy
It's like driving: traditional investors drive by "feel," while quant investors have a navigation system with the route planned in advance.
Active vs Passive Investing
In the investment world, there are basically two paths:
| Passive Investing (Buy and Hold) | Active Investing (Algo Trade) | |
|---|---|---|
| Approach | Buy index ETFs (e.g., SPY, QQQ) and hold long-term | Use strategies to actively select stocks and time entries/exits |
| Goal | Earn market average return (Beta) | Earn returns that beat the market (Alpha) |
| Stock Selection Difficulty | No selection needed, just buy the index | Requires strategy screening and judgment |
| Time Commitment | Very low | 1-2 hours daily (Swing Trade) |
| Biggest Risk | Systemic risk (entire market decline) | Strategy failure, wrong stock picks |
What's Wrong with Buy and Hold?
Many people say, "Just buy and hold an index, why all the effort?"
Indeed, if you are content to simply buy SPY or QQQ and achieve a long-term annualized return of about 8-10%, you'd already be ahead of many people. This is a perfectly reasonable choice.
But the problem is: most retail investors are not content.
They think:
- "I can read charts, why can't I pick my own stocks?"
- "Tesla has gone up so much — if I had bought in early, I'd be rich"
- "I want to beat the market, not just earn average returns"
Once you have these thoughts, you're no longer a purely passive investor. You start picking your own stocks — and this is exactly the biggest trap of Buy and Hold:
Stock picking is hard, and you might end up choosing underperforming stocks.
A real example: ARKK (ARK Innovation ETF) rose 23% in 2021, but dropped 67% in 2022. If you had picked Cathie Wood's heavyweight stocks yourself (like Teladoc, Zoom), you would have lost even more.
Consider an even simpler example: from 2021 to 2024, if you had bought:
- SPY: +45% (~13% annualized)
- TSLA: +25% (but with extreme volatility, dropping as much as -70%)
- BABA: -65% (nearly cut in half, and then halved again)
Buying an index requires no thought. But when picking your own stocks, you might easily end up with BABA.
💡 Core Issue
Unless you are genuinely content just buying index ETFs (SPX, QQQ) with no desire to earn Alpha or beat the market, then you truly don't need to trade.
But if you're still reading — this article is for you. To learn more about quant trading, browse our [Quant Knowledge Base](/blogs). Because deep down, you're not satisfied with just earning average returns.
Quiz
Which description is most accurate?
"Wouldn't It Be Better to Go All-In on One Rocket Stock?"
You might think: "I don't need diversification — I just need to go all-in on one rocket stock and I'll win big!"
For example, from January 2 to May 14, 2026, the following stocks saw massive gains:
| Stock | Jan 2 Close | Mid-May High | Max Gain |
|---|---|---|---|
| SNDK | $275 | $1,562 | +468% |
| AAOI | $40 | $223 | +463% |
| AXTI | $17 | $126 | +651% |
| ABVX | $95 | $145 | +53% (already up +1,503% in 2025) |
If you went all-in on SNDK at the start of January with $100,000, by May it would be $502,400 (+402%). Going all-in — it seems perfect.
But the question is: how can you possibly know beforehand which stock will be the rocket?
On January 2, 2026, there were over 6,700 stocks to choose from in the US market. SNDK was just one of them. What makes you think you would pick it?
Diversify to Have a Chance at Hitting One
In reality, most people who hit a rocket stock do so because they diversified across multiple stocks. For example:
- Buy 20 stocks at once, hoping one is the rocket
- Put 1/20 of capital into each
But after diversification, even if you do own the rocket stock, the returns are severely diluted. Let's do the math:
📊 Actual Calculation: HK$100,000 Split Across 20 Stocks
Suppose you split HK$100,000 across 20 stocks, HK$5,000 each.
- Scenario A: You own SNDK (+402%)
SNDK portion: HK$5,000 → HK$25,120 (profit HK$20,120)
Other 19 break even: HK$95,000
Total: HK$120,120 (return +20.1%) - Scenario B: You own AAOI (+413%)
AAOI portion: HK$5,000 → HK$30,675 (profit HK$25,675)
Other 19 break even: HK$95,000
Total: HK$125,675 (return +25.7%) - Scenario C: Diversified 20 stocks but no rocket, average -10%
Total: HK$90,000 (return -10.0%)
For comparison: SPY gained only +9.5% over the same period. Owning the rocket (+20%) seems to beat the market, but you took on enormous single-stock risk. And this is the "best case" — you'll more often land in Scenario C.
The Key Is Not "Hitting It Once," But "Consistently Improving Hit Rate"
We ran a simulation: randomly picking 20 stocks to hold for 2026 YTD. The average return was only +0.6%, far behind SPY's +9.5%. The reason is simple — most stocks perform quite average, or even decline.
The value of a quant strategy is using data and rules to improve stock selection quality and increase the chance of finding rocket stocks.
Not by feeling, not by luck, but by systematic methods:
- Screen for stocks with high volume and clear trends
- Judge entry timing based on technical indicators
- Validate strategy effectiveness with historical backtesting
- Set stop-loss and take-profit to control risk per trade
With the same HK$100,000, random stock picking might yield only +0.6%, but using a quant strategy to screen, your hit rate for finding rocket stocks can improve from 5% to 15-20%, naturally boosting overall returns.
Quiz
If you split HK$100,000 across 20 stocks, one goes up +400%, and the rest break even, what is the total return?
Quant Strategies: Semi-Automated vs Fully Automated
Quant trading doesn't necessarily mean "robots placing orders automatically." At Algo Lab, we offer two modes:
Semi-Automated Mode (VIP Lv.1 / Lv.2)
This is our core service:
- Each day before market open, the App issues trading signals (buy / sell / watch)
- Based on the signals, you make your own trading plan: decide how much to buy, set stop-loss levels
- Then place orders yourself at your broker (e.g., TD Ameritrade, IBKR, Firstrade)
Benefits of Semi-Automated:
- You retain final decision power
- You can adjust position sizes based on your capital and risk preference
- Learn trading logic and gradually develop your own market sense
Suitable for: Investors who want to learn, stay in control, and can dedicate 1-2 hours daily
Fully Automated Mode (SUPER VIP)
If you're confident in the strategy and want to go hands-off:
- We provide MT5 (MetaTrader 5) robots
- The robot automatically places orders, manages stop-loss/take-profit, and handles position management based on signals
- You only need to monitor account performance, with almost no daily involvement
Benefits of Fully Automated:
- Completely hands-off, no screen watching needed
- Eliminates emotional interference (robots don't fear, don't get greedy)
- 24/7 execution, never missing a signal
Suitable for: Investors with no time, seeking passive income, fully confident in the strategy
💡 Recommendation
Even if you plan to use a fully automated robot eventually, we strongly recommend starting with semi-automated. Understanding how the strategy works and how signals are generated builds confidence in the robot. Automation without trust will only make you panic and stop manually during drawdowns — which is typically just before a rebound.
Quiz
What service does Algo Lab VIP Lv.1 / Lv.2 provide?
Alpha, Benchmark, and Buy and Hold
Before we continue, here are a few core concepts you need to know:
| Metric | Meaning | Example |
|---|---|---|
| Alpha (Excess Return) | The portion of your returns that beats the market | SPY up 10%, you up 18%, Alpha = +8% |
| Benchmark | The market index used for comparison | SPY (S&P 500), QQQ (Nasdaq 100) |
| Beta (Market Return) | Average market return | SPY up 9.5% this year, Beta = +9.5% |
📊 Real Comparison (2026 YTD)
- SPY (Buy and Hold): +9.5% ✅ Stable, no thinking required
- Random 20 stocks (Retail Simulation): +0.6% ❌ Usually lags behind
- All-in on rocket stock SNDK: +402% ✅ But how can you guarantee you'll pick it?
- Systematic quant strategy: Aims to consistently beat SPY and earn Alpha
The point is not "quant always wins," but "systematically executing a strategy gives you a chance to earn Alpha consistently in the long run."
Key Takeaways
- Quant trading = using data and rules to make investment decisions, not relying on feelings
- Passive investing (buy index) vs active investing (earn Alpha). Unless you're content with index investing, you need a systematic strategy
- Biggest Buy and Hold trap: stock picking is hard, and you might pick stocks that decline long-term
- The "all-in" fantasy: even if you own SNDK (+402%), diversifying across 20 stocks yields only +20% total return
- Quant strategy value: improve stock selection hit rate, systematically find rocket stocks. Check the [Market Pulse](/market-pulse) to understand market direction
- Algo Lab semi-automated (VIP) = daily signals, self-placed orders; fully automated (SUPER VIP) = MT5 robot auto-execution
Next Lesson Preview
Now that you understand "why quant trading," our next lesson will teach you how to read quant trading core KPIs — Return%, Max Drawdown, Sharpe Ratio, and more — so you can judge whether a strategy is "good" or "bad."