Learning paths
Quant Trading
Understand what quant trading can and cannot solve before choosing tools or strategies.
中文版本Published lessons
Published lessons in this path.
01Do Ordinary Investors Really Need Quant Trading?AI has lowered the development cost of quant trading, but whether ordinary investors need to do it themselves depends on time, capital, mindset, and trading goals.Quant02Why Most Retail Traders Are Not Suited for Quant TradingThe difficulty of quant trading for retail traders is not just technology. It includes time, capital, data quality, execution, and the ability to handle drawdowns.Quant03Quant Trading vs Smart Trading Alerts: What Is the Difference?Quant trading and smart trading alerts can both support investment decisions, but their goals, difficulty, risks, and ideal users are very different.Quant41Quant Trading Basics: What Ordinary Investors Should KnowQuant trading is not only strategy code. Ordinary users should understand data, backtesting, risk control, execution, and live trial-and-error costs.Quant42What Is Backtesting, and Why Can Backtests Win While Live Trading Loses?Backtesting tests a strategy on historical data, but backtest profit does not guarantee live profit because of data, fees, slippage, and overfitting.Quant43What Is Overfitting in Quant Trading?Overfitting happens when a strategy fits historical data too closely, making backtests look strong while live trading fails.Quant44Is Grid Trading Suitable for Ordinary Investors?Grid trading can work in range-bound markets, but it carries clear risks during one-way declines or trend changes.Quant45What Is a Trend Following Strategy?Trend following tries to trade with the main market direction, but it can suffer false signals and drawdowns in choppy markets.Quant46What Is a Mean Reversion Strategy?Mean reversion assumes price may return toward an average after moving too far, but it can lose badly in strong trends.Quant47Why Arbitrage Is Harder Than It LooksArbitrage uses price differences, but real execution involves fees, slippage, latency, capital lockup, and execution risk.Quant48How Much Money Do You Need to Start Quant Trading?The capital requirement for quant trading includes trial-and-error losses, fees, slippage, servers, data, and drawdown tolerance.Quant49Are AI-Written Quant Strategies Reliable?AI can lower quant strategy development cost, but it cannot guarantee strategy validity, backtest quality, live execution, or risk control.Quant50Trading Bot vs Quant Strategy: What Is the Difference?A trading bot is an execution tool, while a quant strategy is the trading logic. Users should understand strategy and risk before using bots.Quant61What Is the Martingale Strategy, and Why Should Beginners Be Careful?The Martingale strategy increases position size after losses to recover, but it can rapidly expand drawdowns during one-way markets.Quant62What Is the Anti-Martingale Strategy?Anti-Martingale usually increases size after wins and reduces size after losses, emphasizing trend participation and loss control.Quant63Is DCA Suitable for Ordinary Investors?Dollar-cost averaging reduces timing pressure through staged buying, but it is not risk-free and still requires asset selection and position limits.Quant64What Is a Range Trading Strategy?Range trading looks for opportunities between upper and lower price zones, but users must watch whether the range remains valid.Quant65Trend Strategy vs Range Strategy: What Is the Difference?Trend strategies follow direction, while range strategies trade choppy movement. Using the wrong one creates losses.Quant66Is Breakout Strategy Suitable for Ordinary Investors?Breakout strategy can capture trend starts, but false breakouts, chasing, and stop-loss execution are major risks.Quant67What Is a Momentum Strategy?Momentum strategy uses the tendency of strong assets to stay strong, but it requires rules and risk control. It is not emotional chasing.Quant68Advanced Mean Reversion: When Does It Fail?Mean reversion works better in ranges, but can fail during trends, fundamental changes, and liquidity deterioration.Quant69Is Scalping Suitable for Beginners?Scalping seeks small high-frequency profits, but requires speed, low fees, low slippage, and discipline. It usually does not fit beginners.Quant70What Is a Funding Rate Strategy?Funding rate strategies use perpetual futures funding payments, but users must understand hedging, leverage, liquidity, and exchange risk.Quant