How We Work
Data-driven research methodology for educational market analysis
Data-Driven, Not Opinion-Based
Every strategy is validated using real historical market data. Reports include win rate, maximum drawdown, Sharpe ratio, and annualized return β core statistical metrics to help you evaluate performance from a data perspective.
Complete Backtests, No Cherry-Picking
Each report covers complete backtest results across bull, bear, and sideways markets. We show the real equity curve β including losing periods β to help learners understand the full picture.
Weekly Updates, Multi-Market
New strategy backtest analysis published weekly, covering HK stocks (HSI), US equities (S&P 500, NASDAQ), Asian markets, crypto (BTC, ETH), forex, and commodities. Download full PDF reports for self-study.
Learn at Your Own Pace
Structured learning paths from beginner to advanced, covering trading fundamentals, technical analysis, risk management, and quantitative methods. Every report is a hands-on lesson.
Multi-Market Research
Educational backtest reports covering equities, crypto, commodities, and ETFs across global markets
USA
S&P 500, NASDAQ, NYSE
Hong Kong
HSI, HSCEI, GEM
China
SSE, SZSE, A-Shares
Taiwan
TWSE, TPEx
Korea
KOSPI, KOSDAQ
Crypto
BTC, ETH, Top 100
Commodities
Gold, Oil, Metals
ETFs
Global ETF Coverage
Not Another Market Prediction Blog
We don't guess. We test. Here's what separates rigorous quantitative research from noise β and why serious learners choose Trading.hk.
Zero Opinion, 100% Data
Every insight is derived from rigorous historical backtesting across real market conditions β never from gut feelings or market commentary. When we publish a win rate, you can verify every trade in the historical record.
We Show Every Losing Period
Our equity curves don't hide the bad months. Every drawdown, every consecutive losing streak is presented clearly and honestly β because understanding when and why strategies fail is the foundation of real risk management.
Education First, Always
We're a learning platform, not a signal service. Every report explains every indicator, every parameter, and every statistical measure β so you understand the reasoning behind each strategy, not just the final result.
Eight Markets, One Platform
Study HK stocks, US equities, China A-shares, Taiwan, Korea, crypto, commodities, and ETFs in one place. Cross-market pattern analysis reveals relationships invisible in single-market studies.
What You'll Learn from Each Report
Read Backtest Reports
Learn how to interpret equity curves, understand capital changes during backtesting periods, and distinguish between genuinely effective strategies and ones that are simply overfitting historical data.
Understand Quantitative Indicators
Every technical indicator used β RSI, MACD, Bollinger Bands, moving average crossovers β comes with an explanation of its underlying logic, specific role in the strategy, and parameter settings.
Recognize Risk Metrics
Maximum drawdown, consecutive loss streaks, longest recovery time β these numbers reveal how a strategy behaves in worst-case scenarios. Learning to assess risk matters more than chasing returns.
Master Statistical Evaluation
Win rate, risk-reward ratio, Sharpe ratio, annualized return β learn to use these core statistical metrics to objectively evaluate the historical quality of any trading strategy.
A Complete Quantitative Study β Every Week
Not a trading signal. Not a price prediction. A thorough, educational backtest research report containing everything you need to understand a strategy's historical behavior and risk profile.
Every Report Contains
Full 10+ year equity curve with bull, bear, and sideways market periods clearly labeled
Year-by-year performance breakdown showing consistency across different market regimes
Complete strategy parameter settings with sensitivity analysis and overfitting warnings
Side-by-side comparison against buy-and-hold benchmark in the same market
Underlying market hypothesis and the logic behind every indicator and signal rule
Risk-adjusted return metrics with plain-language commentary on what every number means
Sample Performance Data
Illustrative OnlySample data shown for educational illustration only. All figures are from historical backtests. Past performance does not guarantee future results.
Trusted by Learners Worldwide
βThe backtest reports are incredibly educational. I learned more about reading equity curves and understanding risk metrics here than in my university courses. The explanations of each indicator's logic are particularly valuable β you understand the 'why', not just the 'what'.β
David L.
Finance Student, Hong Kong
βFinally, a platform that makes quantitative analysis accessible to beginners. The learning paths helped me go from zero knowledge to understanding full backtest reports. I especially appreciate that they show every losing period β it taught me more about risk than any book.β
Sarah C.
Self-Learner, Singapore
βThe multi-market coverage and complete backtest data across bull and bear markets is invaluable for learning. No cherry-picked results, just honest data. The cross-market correlation analysis opened my eyes to how interconnected global markets really are.β
Michael W.
Research Enthusiast, Taipei
βI recommend Trading.hk to every junior analyst I mentor. The combination of complete strategy logic, full backtest transparency, and honest risk metrics is exactly what serious learners need. It bridges the gap between theory and real-world quantitative thinking.β
James K.
Portfolio Manager, Tokyo
βMy research on momentum factors has been significantly enriched by the cross-market data available here. The reporting methodology is academically rigorous while remaining highly accessible β a rare combination in the educational finance space.β
Wei Lin
PhD Researcher, National University
βAfter losing money following social media 'analysts', I needed a way to understand the real mechanics. Trading.hk gave me the statistical framework to objectively evaluate any strategy I encounter. The detailed drawdown analysis alone changed how I think about risk forever.β
Amanda P.
Retail Investor, Australia
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