• Snapshot — one-line summary, the default.
• Financials — quarterly EPS, revenue, margins.
• Performance — returns over 1D/1W/1M/3M/YTD/1Y.
• Custom — pick exactly the columns you want. Saved per screen.

Whereas fundamental analysis values a company by looking at its earnings, balance sheet and competitive position, technical analysis works one level removed. It asks a narrower question: given the way price has behaved so far, what is it likely to do next? The answer comes from the chart itself rather than from financial statements.

Two broad toolkits do most of the work. Chart-pattern recognition looks for repeated geometric shapes that price traces over time — wedges, channels, head-and-shoulders, double tops and the like — and trades the moments when those shapes resolve. Statistical indicators reduce price and volume to a single derived series (moving averages, oscillators, momentum gauges) and trade the crossovers, divergences and extremes those series produce.

Both toolkits rest on the same three premises, spelled out below.

Technical analysis is interpretive. Two careful analysts can look at the same chart and read it differently — most indicators have tunable parameters, multiple oscillators can disagree with each other, and every pattern admits exceptions. None of the tools listed in this section produce mechanical buy-or-sell answers; they produce conditional signals that have to be combined with context and risk management.

A related critique is that widespread use of certain technical signals creates a degree of self-fulfilling behaviour: enough participants watching the same 200-day moving average will, between them, defend or breach it more decisively than the underlying setup would predict in isolation. That dynamic cuts both ways — it makes the signals louder, but also more prone to crowded false breaks.

• Momentum — relative strength: how the stock's price performance ranks against the whole market across recent windows. The largest driver of the score.
• Growth — historical and forecast growth of earnings and revenue.
• Quality — profitability, balance-sheet health, capital efficiency.
• Valuation — how cheaply the stock trades against its fundamentals.

• QT Momentum — stocks in healthy uptrends with positive momentum across multiple periods, without being overbought.
• QT Value — names trading at undemanding multiples (P/E, P/B, EV/EBITDA) while still showing solid fundamentals.
• QT Dividend Safe — steady dividend payers with sustainable payout ratios, consistent growth, and durable cash flows.
• Double-Buy — stocks getting two bullish signals at once: insiders buying while analysts upgrade, with fresh news coverage.
• QT Turnaround — beaten-down names showing early signs of reversal — oversold technicals against improving fundamentals.
• QT Compounder — high-quality, long-term growers with strong returns on capital and safely-leveraged balance sheets.

• Hover — shows a stock's 3-month price chart and main competitors.
• Double-click stock — opens the full quote page.
• Double-click sector/industry — opens the Screen page filtered to that group.
• Zoom — use mouse wheel or the +/− controls to zoom in and out.
• Pan — click and drag to move around the map.
• Sidebar search — type a ticker to locate it on the map.
• Data Type dropdown — switch the coloring metric without leaving the map.

• Overview — Market Cap, P/E, Forward P/E, PEG, P/S, P/B, Dividend Yield, Analyst Recommendation, Volume, Change, and number of stocks.
• Valuation — P/E, Forward P/E, PEG, P/S, P/B, Price/Cash, Price/FCF, and EPS/Sales growth rates.
• Performance — Weekly, monthly, quarterly, semi-annual, annual, and YTD performance plus volume metrics.
• Financial — Dividend Yield, ROA, ROE, ROI, liquidity ratios, debt ratios, and margin metrics.
• Custom — Select any combination of columns to create your own view.
• Performance Chart — Horizontal bar charts comparing categories across 7 time periods.
• Charts — Line charts showing 1-year performance for each category with SMA 50 overlay and volume.
• Heatmap — Treemap showing categories as tiles sized by market cap and colored by the selected metric.