Basic Concepts
What is quantitative investing?
Quantitative investing is an approach that uses mathematical models, statistical methods, and computer algorithms to analyze market data and make investment decisions. It replaces subjective judgment with systematic rules, improving the objectivity and consistency of investment decisions.What are the main differences between quantitative investing and traditional investing?
The main differences include:- Decision-making: Quant relies on data and algorithms, while traditional investing relies on experience and intuition
- Processing capacity: Quant can analyze thousands of stocks simultaneously, while traditional investing can only focus on a few
- Execution speed: Quant executes in milliseconds, while traditional investing operates on a minute-level
- Emotional influence: Quant is not affected by emotions, while traditional investing can be emotional
What kind of investors is quantitative investing suitable for?
Quantitative investing is especially suitable for:- Busy professionals with limited time
- Investors seeking stable returns
- Investors who are easily influenced by emotions
- People who pursue a systematic investing approach
- Investors with capital above 100,000
Do you need programming knowledge for quantitative investing?
Not necessarily. Using ready-made quant platforms (such as Openstrat) does not require programming knowledge. But if you want to develop your own strategies, learning Python or R can be very helpful.What is the typical return of quantitative investing?
Based on historical data:- Individual quantitative investing: 8–15% annualized
- Professional quant funds: 12–25% annualized
- By comparison, the average retail investor’s annualized return is about -5% to 5%
Technical Analysis
What are a technical bottom and a technical top?
- Technical bottom: A turning point where a downtrend ends and a rebound is likely to begin
- Technical top: A turning point where an uptrend ends and a decline is likely to begin
- Identification features include price-volume divergence, support and resistance, overbought/oversold readings from indicators, etc.
How do you use the RSI indicator?
How to use RSI (Relative Strength Index):- RSI < 30: oversold zone, possible rebound
- RSI > 70: overbought zone, possible pullback
- RSI divergence: price makes a new high but RSI does not, a topping signal
- Best used together with volume and other indicators
What is the price-volume relationship?
The four basic price-volume scenarios:- Price up, volume up: healthy rise, can continue holding
- Price up, volume down: weakening momentum, watch risk
- Price down, volume up: confirmed decline, should stop out
- Price down, volume down: declining momentum weakens, may be bottoming
How do you read moving averages?
Key points for using moving averages:- Support/resistance: price above the MA acts as support; below acts as resistance
- Golden cross/death cross: short-term MA crossing above long-term is a golden cross (buy); crossing below is a death cross (sell)
- Trend identification: MAs sloping upward and price above them indicate an uptrend
- Common combination: 5-day, 20-day, 60-day MA system
Tips for using MACD?
MACD usage tips:- Golden cross buy: DIFF crosses above DEA; more reliable below the zero line
- Death cross sell: DIFF crosses below DEA; more reliable above the zero line
- Divergence signals: price makes a new high but MACD does not, indicating a potential top
- Meaning of the zero line: MACD above zero indicates a bullish market
Risk Management
How do you set a stop-loss?
Three ways to set stop-losses:- Fixed percentage: stop out at a 5–8% loss
- Technical stop: stop out when price breaks below a support level
- Time stop: stop out if there is no profit after holding for N days
- Recommendation: beginners use a fixed 5% stop-loss
What is position sizing (position management)?
Position management principles:- Never fully invested: use at most 80% of capital
- Scale in: buy in 3–4 tranches
- Pyramiding: add small amounts when profitable
- Single stock no more than 30% of total capital
How do you control maximum drawdown?
Methods to control drawdown:- Set an overall account stop line (e.g., -15%)
- Diversify, holding no fewer than 5 stocks
- Use a low-correlation asset mix
- Proactively reduce exposure when the market is overheated
What is the risk-reward ratio?
The risk-reward ratio is the ratio of expected profit to potential loss.- Calculation: expected profit ÷ potential loss
- Standard: at least 2:1
- Example: if the stop-loss is 5%, the target return should be at least 10%
Openstrat Platform
What is the accuracy of Openstrat’s technical bottom detection?
Based on historical backtest data:- Intraday bottoms: 85–90%
- Intraday tops: 83–88%
- Weekly bottoms: 78–83%
- Weekly tops: 75–80%
What do signal strengths of 50%, 65%, and 80% mean?
- 50–65%: informational level, recommend watching
- 65–80%: relatively strong signal, can probe with a small position
- 80–100%: strong signal, focus closely
Which markets does Openstrat support?
Currently supported:- U.S. stocks: 2,000 popular stocks
- Crypto: major coins such as BTC and ETH
- ETFs and indices
- Options unusual activity monitoring
How should I choose between subscription and pay-as-you-go?
- Subscription ($39.99/month): suitable for active traders, unlimited usage
- Pay-as-you-go: suitable for occasional trading, pay per use
- Recommendation: choose subscription if you trade more than 5 times per month
How do I use the AI Chat feature?
Best ways to use AI Chat:- Ask for specific stock analysis: “What is AAPL’s recent technical setup?”
- Assess market trends: “What is the current sentiment in the U.S. stock market?”
- Strategy suggestions: “How should I allocate my tech sector exposure?”
- Data queries: “What is Tesla’s P/E ratio?”
Practical Trading
What should I do after receiving a technical bottom signal?
Action steps:- Confirm signal strength (recommend >65%)
- Check whether the stock’s fundamentals are normal
- Build the position in tranches (first buy 30%)
- Set a stop-loss (-5%)
- Add after confirmation
How do you tell a real breakout from a fake breakout?
How to identify a real breakout:- Volume expands significantly (>1.5× average volume)
- After breakout, retest holds above support
- Multiple timeframes align
- Holds above the level for 2–3 days
When should I sell?
Selling triggers:- Reach target return (e.g., 20%)
- A technical top signal appears
- Price hits the stop-loss level
- Fundamentals deteriorate
- A better opportunity appears
How do you avoid chasing highs and selling lows?
Ways to avoid it:- Create a trading plan and avoid ad-hoc decisions
- Only buy near support levels
- Don’t chase if the price is up more than 7%
- Use limit orders instead of market orders
- Maintain positions and avoid all-in/all-out swings
Market Analysis
How are bull and bear markets defined?
- Bull market: an index rises more than 20% from its low
- Bear market: an index falls more than 20% from its high
- Range-bound market: the index fluctuates within a 10% band
- Basis: use major indices (e.g., the S&P 500)
What are market sentiment indicators?
Common sentiment indicators:- VIX (fear index): >30 extreme fear, >20 calm
- Put/Call ratio: >1.0 bearish, >0.7 bullish
- Advance/decline ratio: ratio of advancing to declining stocks
- CNN Fear & Greed Index: a 0–100 score
How do you identify sector rotation?
Typical sector rotation patterns:- Early recovery: financials and real estate lead
- Expansion: technology and consumer goods strengthen
- Overheating: energy and materials perform well
- Recession: utilities and consumer staples are more defensive
Psychology & Mindset
How do you overcome investing fear?
Ways to overcome fear:- Only invest money you can afford to lose
- Fully understand what you’re investing in
- Make a clear investment plan
- Use stop-losses to control risk
- Start with small positions to practice
What should you do after consecutive losses?
How to respond to consecutive losses:- Pause trading and calmly analyze the causes
- Review your trade log to find issues
- Reduce position size to lower risk
- Relearn and adjust the strategy
- Seek professional help if necessary
How do you maintain investing discipline?
Tips to maintain discipline:- Write down your trading rules and place them somewhere visible
- Keep a trading journal for every trade
- Set automated stop-loss orders
- Review and summarize regularly
- Find an investing partner for mutual accountability
Advanced Learning
What quantitative investing books do you recommend?
Beginner recommendations:- Quantitative Investing: Strategies and Techniques
- Inside the Black Box of Quantitative Investing
- Algorithmic Trading: Winning Strategies and Their Rationale
- Python Quantitative Trading Tutorial
How do you develop your own trading strategy?
Strategy development steps:- Define your investment thesis
- Quantify the trading rules
- Backtest on historical data
- Optimize parameters
- Validate with paper trading
- Test live with small capital
Which economic data should you pay attention to?
Key economic indicators:- U.S. data: Nonfarm payrolls, CPI, GDP, rate decisions
- Company data: earnings season results
- Technical: key support/resistance levels of major indices
- News: speeches by Federal Reserve officials
Related Resources
Learning Path
- Why Quantitative Investing?
- Traditional vs Quantitative Investing Comparison
- Understand Market Language
- How AI Makes Investment Decisions
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Can’t find your question? Contact our support team for help. Last updated: December 2024