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Each stock's Insights tab packs 10 rows × 4 cards with 4-engine scoring (fundamentals / technical / risk / quantitative). Verdict, suggestions, and alerts on one page; click any card to drill down.

7 categories × 50+ rules: valuation, risk, credit, technical, momentum, dividend, quality. Auto-flagged red / yellow / green issues per stock — read reds first, greens as confirmation.

Margin trade (long with leverage) + short selling are retail sentiment gauges. Short-to-margin ratio ≥ 30% signals short-squeeze potential; margin used ≥ 90% signals leverage exhaustion. CTSstock provides per-stock detail + market ranking + alerts.

All ~2,000 listed stocks ranked by foreign / trust / dealer net buy. ETFs excluded by default to avoid market-maker distortion. Expand full 100 rows and resort by any column.

5 filter dimensions (financial health / relative valuation / momentum / volatility / market cap) compose freely. Run to get a filtered stock list; click any factor for threshold details.

How ETFs differ from stocks: market view (NAV / premium-discount), top-10 holdings, distribution history, and active ETF (e.g. 00981A) special fields.

Uses ^TWII 20-day realized volatility (RV) as Taiwan VIX proxy (TAIVIX public data unreliable). Includes 5y percentile, 4-regime classification, low-vol reversal warnings.

Volume spike, 52-week high/low, A/D ratio — 3 scanners on one page. The earliest institutional-money footprints, more timely than MA, MACD, KD.

Heatmap now supports 4 modes: Price Change / Relative Strength (RS) / Liquidity / Amount. Switch modes for 4 completely different market insights.

Single-day heatmap misses trends. Now supports 5 time scales (1d/5d/20d/1m/3m) with dynamic color scaling — cross-period reading finds healthy pullbacks, oversold bounces, and sector rotation.

Is a stock's −5% YoY revenue good or bad? Depends on peers. Extends relative comparison to monthly revenue: rank, market share, 12-month share trend.

PE impossible? Two new models in Valuation tab — P/S and EV/Sales — built for loss-makers, high-growth SaaS, and cyclical bottoms.

CCC = DSO + DIO − DPO — days of working capital you must finance yourself. Stacked-bar decomposition with z-score anomaly detection spots channel stuffing and demand shifts early.

Absolute ratio values are meaningless without context. Every ratio gets dual badges: self 5y percentile + industry percentile, with four-quadrant interpretation.

Lists 10 worst single-day events with benchmark return, excess return, and clustering analysis. Large negative excess = stock-specific risk; clustering = volatility clustering phenomenon.

Stock returns frequently deviate from normal: fat tails + left skew. Q-Q Plot and Jarque-Bera test reveal this empirically — the reason our VaR/CVaR uses historical simulation.

MDD for deepest, Ulcer for averaged pain, Calmar for return-per-drawdown. Complementary; Calmar best for investors sensitive to worst-case pain.

Sharpe treats upside as risk, which isn't intuitive. Sortino only penalizes downside moves. When two stocks have equal Sharpe but different Sortino, the one with higher Sortino tends to drop less.

VaR gives a loss threshold; CVaR tells you the average beyond it. Historical simulation — no normality assumption — applied to both individual stocks and portfolios.

Absolute multiples are meaningless — relative position matters. This platform shows both self-history and industry percentiles; four-quadrant interpretation tells you cheap vs expensive at a glance.

Altman for bankruptcy, Piotroski for fundamentals, Beneish for integrity — three complementary scores. Only all-pass companies are truly worth holding.

Many holdings ≠ diversification. Correlation reveals which positions are effectively the same bet. Use average ρ and high-correlation warnings to spot false diversification.

Indices are dominated by mega-caps. Market breadth (% above MA20/60/120/240) counts stocks in uptrend, with 252-day percentile ranking to spot overheated or oversold conditions.

A plain-language explanation of GDP (Gross Domestic Product), with Taiwan and US GDP charts to help you gauge how economic cycles affect the stock market.

Understand the differences between CPI, Core CPI, and PCE, and learn how to use inflation data to predict central bank rate decisions and market trends.

Understand the federal funds rate and Treasury yields, and learn how Fed rate decisions impact stock prices, bonds, and your portfolio.

Learn about Taiwan's rediscount rate, M1B, and M2 money supply, and how to use monetary data to gauge bullish or bearish trends in TWSE stocks.

What is a yield curve inversion? Why is the 10Y-2Y Treasury spread the most reliable recession predictor? Historical data tells the story.

Why does the first-Friday NFP report shake global markets? Learn to read nonfarm payrolls, unemployment rate, and initial jobless claims.

Interpret Taiwan's unemployment rate, labor participation rate, and average wages to understand the link between the labor market and domestic demand.

PMI is the most timely economic thermometer. Combined with industrial production and export orders, it helps you spot turning points early.

Consumer spending makes up ~70% of US GDP. Learn how consumer confidence and retail sales data reveal the economy's strength and investment clues.

Does a stronger TWD hurt exporters? Analyze how exchange rates and trade data interact with TWSE stocks and your portfolio.

From mortgage rates and housing starts to the Case-Shiller index and existing home sales — a complete guide to US housing data and its economic impact.

What are QE and QT? How do changes in the Fed's balance sheet affect market liquidity and stock prices? A plain-language breakdown.

What does US national debt exceeding $30 trillion mean? How do debt-to-GDP ratios and fiscal deficits affect the dollar and global investments?

From GDP and CPI to nonfarm payrolls and the yield curve — the 10 key economic indicators to build your own macro dashboard.

What do the Dow, S&P 500, Nasdaq, Philadelphia Semiconductor, and TAIEX represent? A one-stop guide to their components and differences.

Gold as a safe haven, oil reflecting demand, copper as an economic barometer — how major commodity prices interact with stock investments.

Use price change, volume, market cap, and turnover rankings to quickly filter the most active and strongest stocks.

Use ROE, ROA, EPS, and cash position rankings to find fundamentally strong listed companies.

From candlestick basics to MA, Bollinger Bands, MACD, KD, and RSI — learn to read price trends with real chart examples.

Monthly revenue is the most timely fundamental data for Taiwan stocks. Learn to use YoY, MoM, and seasonal comparisons to assess growth momentum.

The three financial statements are the foundation of investment analysis. A plain-language breakdown of their core items and how to read them.

The three margins are the most fundamental profitability metrics. Learn the differences between gross, operating, and net margin with practical examples.

ROE is Buffett's favorite metric, but the number alone isn't enough. Use DuPont analysis to break it into net margin x asset turnover x equity multiplier.

Current and quick ratios are key to assessing short-term solvency. Combined with the interest coverage ratio, evaluate a company's financial safety.

Turnover ratios reflect operational efficiency — how fast does inventory sell? Are receivables collected? Learn to evaluate management effectiveness.

A complete DCF (Discounted Cash Flow) tutorial — from concept to hands-on calculation using TSMC as an example to find a stock's intrinsic value.

DDM estimates stock price using the present value of future dividends — ideal for stable dividend payers. Includes a hands-on walkthrough with real data.

The P/E ratio is the most widely used valuation metric. Learn to use historical P/E band charts to judge whether a stock is cheap or expensive.

The P/B ratio helps you find companies trading below book value — especially useful for valuing financial and cyclical stocks.

EV/EBITDA removes capital structure and tax differences, making it the fairest valuation metric for comparing companies across industries.

The GGM assumes perpetual dividend growth and uses a single formula to calculate fair price — best suited for large-cap steady dividend payers.

DCF, DDM, P/E, P/B, EV/EBITDA, and GGM — a complete comparison of use cases, pros, and cons to help you pick the right valuation tool.

Beta measures a stock's volatility relative to the market. Combined with annualized volatility and risk percentile, fully assess your holding's risk.

From historical payouts and payout ratios to cash vs stock dividend mix — learn to evaluate whether a company is worth holding long-term.

Use ROE, EPS, gross margin, debt ratio, and free cash flow with a multi-factor screener to systematically find quality stocks.

How to read Taiwan's Big 3 institutional buy/sell data and US 13F filings to follow institutional investors and find investment direction.

The Sharpe Ratio tells you how much excess return you earn per unit of risk — the gold standard for evaluating portfolio performance.