This system exists for one purpose: to help you become a confident, disciplined reader of the world's stock markets — whether you trade in days or invest for decades. Inside: live Buy / Hold / Sell evidence for companies across Canada, the United States, the Philippines, the UK, India and Japan (every figure traceable to 3 independent sources), the Top 15 long-term names per country with their official websites, live candlestick charts, a paper-trading journal, and where you can actually trade — with the regulated brokers and tax-smart accounts of YOUR country.
Start with the ✦ Learn to read the market tab. Its 28-section curriculum — from your first candlestick to the true stories of Buffett, Templeton and the five great market crashes — is the fastest honest path from beginner to competent market reader. Everything else in this system will make more sense once you've walked through it; return to it as you navigate, and let the evidence, not emotion, shape every decision. This is an educational tool: it will make you a better market reader — the decisions, and the discipline, remain yours.
Your details personalize your access to this dashboard and are not sold or shared. Signals are computed from public, ~15-minute-delayed exchange data and are educational information — not financial advice, and not a solicitation to trade. Investing involves risk of loss.
| Company | Price | Day | RSI (14) | 52-week range | Signal | Outlook |
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Judge what you see — by lane. The same candles carry a different job for each reader. Trader: these 5-minute/daily candles ARE the decision — patterns at levels (Learn §5) trigger entries and exits, and the 1D view auto-refreshes every 60 seconds through market hours. Casual investor: use the 1M/3M views to check whether a level keeps holding — one day\u2019s wiggle is noise. Long-term investor: switch to 1Y, where each candle is a week — the only honest questions here are \u201cis the long trend intact?\u201d and \u201cam I getting a fair entry on my planned buying day?\u201d No single candle, on any view, changes a multi-year thesis (Learn §21). Every ticker you track in any country\u2019s Manage Watchlist appears in the selector above — newly added ones stream full history after the next hourly refresh.
Compare the live candles above against these patterns before deciding anything: is price stepping down into support (Scenario 1), climbing into resistance overheated (Scenario 2), or chopping mid-range where the right trade is none (Scenario 3)?
Ranked by what actually protects a foreign investor: rule of law that enforces a foreigner’s property rights, an investor-compensation scheme, free currency convertibility, and an unbroken history of letting profits leave. Pick one to read its full case:
src/worker.js.Everything in this Learn tab becomes one repeatable routine. Highly successful traders and long-term investors differ in style but share this structure: they prepare while markets are closed, execute little during hours, and review after the bell. Run this sequence daily and the sections below become muscle memory. One universal note: clock times in this curriculum are quoted in New York time (ET) because examples reference the US session — but the RHYTHM is identical on every exchange. Convert the phases to your own market's clock: London opens 8:00 AM UK time, Manila 9:30 AM PHT, Toronto 9:30 AM ET — same preparation, same discipline, different timezone.
Which lane are you in? Both are covered here. A trader works in days and weeks — the phases below are their daily routine. A long-term investor works in years — their "day" is monthly: one scheduled buying day a month, a quarterly check of the evidence panels, and an annual rebalance. Investors can skip the intraday phases entirely; their playbook is Section 21 below, and everything about dividends, ETFs and REITs on each country tab is built for them. Most successful people run both lanes at once: a large, boring, long-term core (index ETFs, dividend payers, REITs) plus a small trading sleeve sized by the Section 15 calculator.
(1) Mindset first: read the Daily Boost, breathe — calm beats clever; you cannot read charts through adrenaline. (2) Run the 5-step news routine (§11): index futures → overnight relay (Tokyo/Manila closed, London trading) → economic calendar (stand aside at 8:30 data drops and 2:00 PM rate decisions) → earnings calendar — respect every ⚠ chip on the dashboard → your tickers' fresh headlines. (3) Read the tide: the market-health breadth bar decides your aggression today — tailwind allows normal size, headwind demands smaller size and stricter setups. (4) Shortlist, don't shop: pick at most 1–3 tickers whose evidence panel you actually agree with after checking them against the three scenarios (§5) — pros trade few names well, not many names poorly. (5) Write the complete plan while flat: entry, stop, target (≥2R or skip), and share count from the calculator (§15); place your limit orders now. The pro maxim: plan the trade, then trade the plan — never invent a trade after the bell.
(1) 9:30–10:00, hands off: the open prices overnight emotion; watch which of your levels survive it. (2) 10:00–10:30, the window: let your pre-placed limit orders do the work in the classic reversal window — if a move ran without you, it ran without you; chasing converts a good plan into a bad price. (3) Midday lull: no boredom trades — this is study time: open Live Charts and narrate the candles against the reference scenarios. (4) Manage, don't micromanage: stops move only UP to protect profit, never down to avoid truth; a stop moved down is a promise broken. (5) News shock discipline: position moving hard on news? Read the primary source (company release, not a tweet) before touching anything. Pro habits worth copying: one good decision per day is a full day's work; screens off after executing; never average down on a stock below its 200-day average — ever.
(1) Power-hour read: institutions finish business here — a stock closing at its high tends to attract next-morning follow-through; a weak close into the bell is a warning. (2) Sell into strength, per plan: if price tags your target or paints Scenario-2 candles at resistance, take the profit while buyers still exist — sell when you can, not when you must. (3) The overnight-risk question: does anything you hold report earnings tomorrow (⚠ chips)? Decide NOW whether you accept the gap — reducing to a size you can sleep with is a professional act, not a timid one. (4) Cancel stale orders so tomorrow starts clean. (5) No new positions in the final 10 minutes — closing auctions whip; that's not your edge.
Daily (5 min): journal every action taken AND skipped, each with its why — the scoreboard grades the system; the journal grades you. Friday (15 min): compute your week — win rate, average R, best and worst decision (not best/worst outcome — decisions, which you control). Weekend: study ONE section below deeply, prune the watchlist, and pre-read next week's earnings dates. This review loop is the single strongest predictor of who improves: losing traders relive trades emotionally; improving traders audit them clinically.
An honest word about "expert in weeks": run this playbook daily and in 4–8 weeks you will read markets — trend, tide, candles, risk — better than the vast majority of retail participants; that part genuinely comes fast with structured reps. Consistent trading profits take longer — usually through at least one losing streak survived with intact discipline. This system compresses the learning; nothing compresses the market's tuition. Master the reading first (it's free), let the paper journal prove your edge, and let real size come last. That order — reader, then practicer, then trader — is exactly how the professionals you want to become actually got there.
A moving average (MA) is simply the average closing price over the last N days — it smooths daily noise into a visible trend. The 200-day MA is the market's long-term memory: price above it = long-term uptrend, below it = downtrend. The 50-day MA shows the medium-term trend. The strongest, most-studied setup is price above a rising 50-day, which is itself above the 200-day — everything pointing the same way. When the 50-day crosses above the 200-day it's called a golden cross (historically bullish); crossing below is a death cross. Rule of thumb for beginners: don't buy downtrends. A falling stock below both averages is "cheap" for a reason more often than it's a bargain — wait for price to climb back above its averages, which is evidence the sellers are done.
The Relative Strength Index (RSI) compares the size of recent up-days vs down-days over 14 days, producing a 0–100 score. Around 50 = balanced. Above 70 = overbought: buyers have pushed hard and a pause or pullback gets statistically more likely — a risky moment to chase. Below 30 = oversold: sellers are likely exhausted — historically where bounces start. The classic beginner mistake is treating RSI alone as a signal: a strong stock can stay overbought for weeks while rising, and a collapsing stock can stay oversold all the way down. That's why this system reads RSI inside the trend context: oversold in an intact uptrend is the interesting buy setup; overbought at the very top of the 52-week range is the caution flag.
The range bar shows where today's price sits between the lowest and highest price of the past year. Near the top (>90%) with a hot RSI means you'd be paying the highest price anyone has paid in a year — sometimes justified, but entry risk is high. Near the bottom (<15%) while the long-term trend is still intact can mark value. Near the bottom because the trend is broken is a falling knife.
Volatility is the size of a stock's moves, in both directions. A utility like Fortis might move ±0.5% on a normal day; Shopify or NVIDIA can move ±3–5% on no news at all. Neither is "better" — but they demand different handling. Three practical ways to read it: (1) Average daily range — watch a stock's typical daily % move for a couple of weeks (your dashboard's Day column builds this intuition); if it regularly swings 3%+, expect to be down 5–10% at some point even in a winning trade. (2) Beta — shown on most stock pages: beta 1.0 moves with the market, 0.5 moves half as much (calm), 2.0 moves twice as much (wild). (3) The VIX — the market-wide "fear index": under ~15 is calm seas, over ~25 means storms, over ~35 means panic. The expert rule volatility teaches: size the position to the swing. Risk the same dollars, not the same shares — if stock A swings 3× harder than stock B, buy roughly ⅓ as much of it. Beginners blow up by putting big money into high-volatility names; the swing shakes them out at the bottom. And know this pattern: volatility clusters — wild days follow wild days, calm follows calm. A sudden volatility spike in a quiet stock means something changed; find out what before touching it.
Trader vs long-term investor: same candles, different job. A trader reads daily (even hourly) candles as decision triggers — the patterns below ARE their entries and exits. A long-term investor uses them three honest ways and no more: ① switch the chart to weekly or monthly candles — a long lower wick there means buyers defended a level for weeks, a far weightier fact than any daily flicker; ② on execution day (the one planned buying day a month), a hammer or bullish engulfing at support simply gets a better price on a purchase you were making anyway; ③ and never the reverse — no single candle changes a multi-year thesis, because a doji knows nothing about where a business will be in five years; earnings, moats and dividends decide that (Section 21).
Charts are drawn in candlesticks, and each candle answers four questions about one period (a day, a week, an hour): where the price Opened, the Highest it reached, the Lowest it touched, and where it Closed — "OHLC". The thick part (body) spans open→close; the thin lines (wicks or shadows) mark the extremes that didn't hold:
How to read the handwriting: a long body = conviction (buyers or sellers dominated all day); a tiny body with long wicks both ways (a "doji") = indecision, often before a turn; a long lower wick after a decline (a "hammer") = sellers pushed price down but buyers slammed it back up — possible reversal; a candle whose body engulfs the previous one = momentum just changed hands. Two honest rules an expert would insist on: single candle patterns are weak evidence alone — they only matter where they appear (a hammer at a support level in an uptrend means something; mid-air it means nothing), and higher timeframes outrank lower ones — a weekly candle carries more truth than a 5-minute one, which is mostly noise. Practice by opening any free chart (your broker's app or tradingview.com), setting it to daily candles, and narrating aloud what each week's candles say happened between buyers and sellers — that narration skill IS chart reading.
The six candle patterns worth knowing first — each is a sentence in the buyers-vs-sellers story:
How each one is actually useful — the confluence method. A pattern alone is a whisper; a pattern in the right place is a signal. The professional habit is to require three things to agree before acting: (1) location — the pattern appears at a level that matters (support, resistance, the 52-week low/high, or a moving average from this dashboard); (2) condition — the indicators agree (a hammer means far more when RSI is under 35 than at 60; a shooting star means more when RSI is over 70); (3) confirmation — the next candle moves in the pattern's direction on decent volume. In practice: Doji after a big run → tighten your stop or take partial profit, and wait for the next candle to vote. Hammer / bullish engulfing at support with oversold RSI → the highest-quality dip-buy entry this system can point to (a dated classroom example: in mid-July 2026 BCE sat at RSI ~30 near its 52-week low — the signals table above always shows you which stock is in that exact spot today; watch ITS daily candles for these two shapes before catching the knife). Shooting star / bearish engulfing at the top of the 52-week range with RSI stretched → the classic sell-into-strength exit (mid-July 2026's textbook case was RY.TO at the very top of its range — check the signals table for today's equivalent). Marubozu in your trade's direction → do nothing, let the winner run; against you → respect it, don't average down. Drill: each evening, open the daily chart of one watchlist stock, find yesterday's candle in this gallery, and write one sentence on what it said and whether today confirmed it — twenty minutes a week and patterns become instinct.
Three real scenarios — where the candles sit when it's a Buy, a Sell, or a Hold:
The discipline that makes all three work: before entering any Scenario-1 buy, write three prices down — your entry, your stop (below the hammer's low), and your target (at least 2× the distance of your risk, usually the next resistance). If the target isn't at least twice the risk, the trade isn't worth taking even with a perfect candle. This single habit — asymmetric risk/reward plus a pre-written stop — is what separates traders who survive their mistakes from those who don't.
Volume is the lie detector. Every candle has a volume bar under it: how many shares actually traded. A price rise on heavy volume = real conviction, many buyers committed. The same rise on thin volume = suspect, easily reversed. Breakouts to new highs "count" when volume expands; a breakout on quiet volume usually fails. Support is a price floor where buyers have repeatedly stepped in (look left on the chart — where did drops keep stopping?); resistance is the ceiling where rallies kept stalling. The 52-week high/low on your dashboard are the biggest of these levels, and round numbers ($100, ₱1,000) act as psychological ones. Two behaviors to memorize: price tends to bounce between these levels until it breaks one with volume — and once broken, a ceiling often becomes the new floor (old resistance becomes support). If you only ever learn to read trend + volume + support/resistance together, you'll read markets better than most people trading them.
Trader vs long-term investor: Both lanes use this checklist â with different weights. A trader obeys the chart: if the evidence stack says exit, they exit. A long-term investor obeys the business: the same red chart on a company whose earnings, moat and dividend are intact is often a DISCOUNT, not a warning (Section 21). Decide which lane a position belongs to BEFORE you open it â the most expensive mistake in markets is judging a long-term holding by a traderâs rules mid-panic, or excusing a losing trade with an investorâs patience.
This is exactly the order of evidence the dashboard scores, and worth internalizing: (1) Which side of the 200-day MA — is the tide rising or falling? (2) Which side of the 50-day — is the recent wave with me? (3) RSI — am I buying stretched or buying reset? (4) 52-week momentum — has this company actually rewarded holders this year? (5) Range position — am I paying top-of-range prices? Then two checks no indicator can do: is earnings coming? (companies report quarterly; prices can gap ±10% overnight — check the date before buying), and position size — never so much in one stock that being wrong changes your life. If the evidence is mixed, the honest answer is Hold/do nothing; forcing trades in unclear conditions is where most losses come from.
Trader vs long-term investor: For traders, these weak tendencies are context. For long-term investors, the honest answer is stronger: over years, timing adds almost nothing â time IN the market beats timing THE market (the missed-10-best-days arithmetic in Section 21). An investorâs "cheap time" is not a clock hour; it is whenever a quality business trades near its 52-week low with its case intact.
Decades of market data show some average patterns, but read the caveat after them. Within a day (ET, for North American markets): the first 30–60 minutes after the 9:30 open are the most volatile — overnight news gets priced in fast, and the day's high or low is often set there; the middle of the day (~11:30–2:00) is usually the quietest; volume and sharp moves return in the last hour (3:00–4:00, "power hour"). Practical use: beginners are usually better off not trading the first 30 minutes, when spreads are widest and swings sharpest. Within a week: Mondays have historically been slightly weaker and Fridays slightly stronger (the "weekend effect") — but this pattern has mostly faded since it was discovered. Within a year: September has historically been the weakest month; November–April has historically outperformed May–October ("sell in May"); small stocks have shown early-January strength; and markets have often drifted up in the last days of December ("Santa Claus rally").
The honest caveat: these are averages over thousands of days, not predictions for any given one — the edge in each is tiny (fractions of a percent), unreliable, and has weakened as everyone learned about it. Nobody can tell you the market will be cheap Tuesday morning and expensive Friday afternoon; anyone who claims a "proven" clock is selling something. What actually protects you instead of timing folklore: use limit orders (set the exact price you'll pay or accept — you control price, not timing), avoid the volatile open, and let the indicator evidence above — not the clock — decide whether to trade at all. Note: hours above are ET; Manila (PSE) trades 9:30 AM–3:00 PM PHT, London 8:00–16:30 GMT, Tokyo 9:00–15:30 JST.
Paper-trade for a month before using real money, and grade yourself honestly. Risk only money whose total loss wouldn't hurt you — weekly living expenses never belong in the market. Use limit orders, not market orders, on anything less liquid than a mega-cap. Check average daily volume before buying (millions of shares = you can always exit; thousands = you may be trapped). Never average down on a stock below its 200-day MA. And if you trade inside a tax-advantaged account, learn your country's rules first — most jurisdictions tax or penalize rapid business-like trading differently from patient investing (see the account & tax notes under each country's trading-platforms panel).
Expertise comes in stages, and each one is measurable. Stage 1 — Reader: you can look at any stock on this dashboard and explain, using trend, RSI, volume and range position, why it's moving — before opening the reasoning panel. (Test yourself daily against the panels.) Stage 2 — Paper trader: 1–2 months of written practice trades: entry price, the reason (which evidence), the exit plan, and the result. No real money until your journal shows more disciplined exits than impulsive ones. Stage 3 — Small-stakes trader: real money, but never risking more than 1–2% of your account on any single idea, always with a written exit before entry. Stage 4 — Consistent trader: your edge is proven across 50+ journaled trades, through at least one losing streak you survived calmly. Most people skip the journal and stay stuck at stage 0 — the journal is the whole secret. Every refresh of this dashboard is a free practice rep: read the market first, then check whether the evidence agrees with you.
Professionals don't read "more news" — they read the same five things every morning, in the same order, in about 15 minutes. (1) Index futures (S&P 500 and Nasdaq futures, on Yahoo Finance, Investing.com or CNBC's markets page) — they trade all night and tell you before the open whether the day starts risk-on or risk-off. (2) The overnight relay — markets follow the sun: how did Tokyo and Hong Kong close, how is London trading right now? A hard sell-off in Asia usually reaches North America by open, and Manila's morning often echoes Wall Street's previous close. (3) The economic calendar (Investing.com or ForexFactory) — know the scheduled bombs: US inflation and jobs reports drop at 8:30 AM ET, central-bank rate decisions at 2:00 PM ET; markets whipsaw violently in those minutes and beginners shouldn't be placing orders into them. (4) The earnings calendar — is any stock YOU hold reporting today, before open or after close? That single check prevents the most common ambush in retail trading. (5) Your own tickers — pre-market movers and the headline behind each (broker app, Yahoo Finance, stockanalysis.com), then this dashboard's morning brief for the signal changes. On sourcing: trust primary sources (company investor-relations releases, exchange disclosures — PSE Edge in the Philippines, SEDAR+ in Canada, EDGAR in the US) and the major wires (Reuters, Bloomberg, AP); treat everything from Telegram groups, TikTok and "VIP signal" chats as marketing aimed at you, not information for you.
Trader vs long-term investor: This section is for the trading lane. Long-term investors should read it in reverse: the names that swing hardest intraday are usually the WRONG core holdings â for money measured in years, the boring compounders and broad ETFs of Section 21 are the honest choice, and volatility is a price you only accept when you understand exactly why.
Nobody can name tickers that will reliably "dip then rise" — anyone selling that list is guessing or lying. What CAN be said factually is which kinds of stocks swing hardest within a day, because swing size follows measurable traits: high-beta large-cap tech (the NVDA/TSLA/AMD class — liquid enough to exit, volatile enough to move 2–4% intraday); stocks reporting earnings today (they gap at open, then often fade or reverse in the first hour); whatever is in the day's actual news (upgrades, contracts, regulatory rulings); recent IPOs (no trading history to anchor them); and heavily-shorted names (squeezes both ways). The non-negotiable filter across all of them: millions of shares of daily volume and a tight bid-ask spread — an intraday swing you can't exit isn't an opportunity, it's a trap. And the honest health warning: intraday dip-buying is the hardest style in trading — the majority of retail day-traders lose money over time in every serious study; treat this section as market literacy first, playbook second.
Trader vs long-term investor: Mostly for traders â but with one practical crossover: a long-term investor needs the clock only on the one day a month they execute a planned buy. The useful habits: avoid market orders in the first ~30 minutes (spreads are widest and prices most erratic), and prefer a limit order in the calmer midday stretch. Beyond that single execution, the intraday clock is noise to an investor.
Intraday volume follows a documented U-shape, and each stretch of the clock behaves differently (times ET for North America): 9:30–10:00 — the open: overnight news gets priced in minutes; swings are widest and the day's high OR low very often forms here; spreads are worst, so beginners should watch, not trade. 10:00–10:30 — the "reversal window": once the opening burst of orders exhausts, the early move frequently stalls or reverses — this is the classic window where a limit buy placed below the market catches the morning dip. 11:30–14:00 — the lunch lull: volume dries up, ranges tighten, breakouts fail more often; the least useful trading window of the day. 14:00 on central-bank days — everything moves at once; stand aside unless you enjoy chaos. 15:00–16:00 — power hour: institutions finish their business, volume floods back, and the day's trend either resumes hard or reverses into the close; a strong stock closing at its high tends to attract follow-through the next morning. So the pattern old traders repeat — "buy the 10:30 dip, sell the 3:30 strength" — exists in the statistics, but as a lean, not a law: on any given day it fails outright, which is exactly why the limit order (your price, or no trade) beats the clock (any price at the "right" time). Local clocks matter too: the PSE halts for lunch 12:00–1:30 PM PHT and Tokyo 11:30–12:30 JST — the reopen after those breaks behaves like a mini market-open; London's 8:00 AM GMT open overlaps New York's pre-market and often sets Europe's tone for the day.
History is the cheapest mentor in this business. COVID crash, 2020: world markets fell ~34% in five weeks and recovered in five months — panic-selling at the bottom locked in permanent losses, while staged buying into the fear was rewarded; lesson: pre-decide what you'll do in a crash, because you won't think clearly during one. 2008: the recovery took years, not months — lesson: not every dip bounces fast, which is why position sizing (never all-in) is what lets you wait. Dot-com, 2000: profitless hype stocks fell 80–99% and many never returned — lesson: story stocks need eventual earnings; that's why this dashboard shows whether a company actually makes money. GameStop, 2021: squeezes make headlines at the top — the people who read about a rocket in the news are the exit liquidity; lesson: if you learned about the move from a headline, the move is mostly over. Every earnings season (Jan/Apr/Jul/Oct): the year's biggest single-day moves cluster in these weeks — lesson: know the report date before you buy, always. And the one lesson every market on earth agrees on: across decades, time in the market beats timing the market — the boring core (broad ETFs, automatic contributions) builds the wealth, while trading skill is the satellite you grow slowly, with a journal, on money you can afford to lose.
Trader vs long-term investor: The calculator below sizes trades: fixed risk per idea, defined stop. A long-term investor controls risk differently â not with stops (they hold through drawdowns by design) but with CAPS and SPREAD: no single stock above ~5â10% of the portfolio, a broad-index core, and diversification across sectors and countries. Same goal â survive being wrong â different tool for each lane.
Everything above ends at the same gate: how much do I buy? Fill in four numbers and this answers it using the professional rule — risk a fixed small % of your account per idea, never a fixed number of shares:
Why this works: with 1% risk, ten straight losing trades — a bad month even for professionals — costs ~10% of the account, fully recoverable. With 10% risk per trade, the same streak destroys 65% of it. The formula: shares = (account × risk%) ÷ (entry − stop). It automatically buys less of volatile stocks (wider stops) and more of calm ones — volatility-adjusted sizing, the same principle institutions use.
Professionals never act on one signal. They run the same short stack every time, in order, and only act when the pieces agree. Scope note: this stack is for trades â positions measured in days and weeks. If you are buying for years, your checklist is Section 21 (the long-term investor’s playbook), where a scary red month is often an entry, not an exit. Here is the exact stack, applied to the three decisions:
BUY scenario — the checklist in action. A quality company on your watchlist drops to the lower third of its 52-week range. Stack: ① Long-term trend — is price still within ~10% of the 200-day average, or did the trend break? A dip inside an intact uptrend is a candidate; a broken trend is a falling knife. ② RSI — under 40 and turning up means selling pressure is exhausting itself. ③ Candles at support — wait for a hammer or bullish engulfing bar ON the support level, on above-average volume; the reversal candle is your confirmation, not the dip itself. ④ Earnings calendar — if results are due within ~7 days (the ⚠ chip in this system), professionals either wait or size at half; an earnings gap can jump straight over a stop-loss. ⑤ Size it — stop under the support low, risk ≤1% of account (Section 15), and only take it if the distance to your target is at least 2× the distance to your stop. Miss any leg of that stack, and the professional answer is simply: skip it — there is always another trade.
SELL scenario. A position has run far above its 50-day average and RSI has pushed past 70 while the price sits at the very top of its 52-week range. The amateur feels excitement; the professional reads the same three numbers as risk stacking up: stretched distance from the averages, overbought momentum, nothing overhead to slow a pullback — the same combination this dashboard scores negative. The pro playbook: never sell on feeling — sell on plan. Either take partial profit (half off, let the rest run with a stop raised to the recent swing low), or trail the stop under each higher low until the market itself takes you out. And one non-negotiable: when price closes below the stop you wrote down at entry, you exit — the stop was set by calm-you; overriding it live is how winners become round trips.
HOLD scenario. Your stock chops sideways for weeks, red days and green days alternating, headlines noisy. Stack check: price still above a rising 200-day average, RSI wandering the neutral 40–60 zone, no break of support, no change in the reason you bought. That is a HOLD — and holding is a decision, re-made daily, not an absence of one. The professional insight: most of the market’s long-term return arrives in a handful of explosive days that cluster near scary periods; being shaken out by noise is statistically the most expensive habit in retail investing. The discipline is to re-read your written entry reason (your journal below): if the evidence that got you in is intact, the noise is the market’s entry fee, not an exit signal.
Every decision this system scores has been made, at world scale, by investors whose results are public record. These are documented, verifiable stories — and each one maps to a signal you already have on this page.
The BUY legends. John Templeton, 1939: with the world terrified at the outbreak of war, the 26-year-old borrowed money and bought every NYSE stock trading under $1 — about 104 companies, 34 of them already in bankruptcy. Within roughly four years the stake had quadrupled; only four of the 104 went to zero. His rule — “buy at the point of maximum pessimism” — is exactly what a price near its 52-week low with the long-term case intact looks like on this dashboard. Warren Buffett, 1964: when the salad-oil scandal nearly halved American Express, Buffett checked one thing — whether customers still used their Amex cards (they did) — then put roughly 40% of his partnership’s capital into the stock while everyone fled. It multiplied over the following years, and the lesson became his most quoted line: “Be fearful when others are greedy, and greedy only when others are fearful.” Note what both actually did: they bought fear only after verifying the business was intact — evidence first, courage second.
The HOLD legends. Buffett again, 1988: he spent about $1.3 billion on Coca-Cola shares — and has never sold one. The dividends alone now pay him back over $700 million every single year, more than half the original purchase price annually, which is what “our favorite holding period is forever” looks like in cash. Peter Lynch, 1977–1990: his Magellan Fund averaged 29.2% a year for 13 years — $1,000 became roughly $28,000. The sting in the tale: Fidelity reportedly found that many investors in his own fund earned far less than the fund did, because they piled in after hot streaks and bailed out after dips. The world’s best fund couldn’t save people who wouldn’t hold it. Lynch’s fix is his most famous sentence: “Know what you own, and know why you own it” — the exact reason this system’s journal forces you to write your WHY before entry. And Charlie Munger, Buffett’s partner of 60 years, said the quiet part: “The big money is not in the buying and the selling, but in the waiting.”
The SELL (and survival) legends. Paul Tudor Jones, October 1987: seeing 1929-style overextension — prices stretched impossibly far above their long-term averages — he positioned for the fall others refused to imagine and returned about 62% in that single month while the Dow lost 22% in a day. His two rules are pure sell-side discipline: “losers average losers” (never add to a falling position) and only take trades where the potential reward is a multiple of the risk. George Soros, September 1992: his fund staked roughly $10 billion against the British pound and made about $1 billion in a day when Britain crashed out of the European currency mechanism. The copyable part isn’t the size — it’s that the downside was defined and accepted before entry, and he pressed only when the evidence was overwhelming. And the two warnings that complete the education. Jesse Livermore made about $100 million shorting the 1929 crash — among the greatest trades ever — yet later went bankrupt, because brilliant signal-reading without permanent risk control eventually gives everything back. Archegos, 2021: roughly $20 billion of one man’s wealth evaporated in about two days, because ~5× leverage turns a routine dip into extinction (its founder was later convicted of fraud). Signals made these men rich; position sizing decided who stayed rich.
The comeback that built the world’s largest hedge fund. In 1982 Ray Dalio publicly predicted a depression — and was completely wrong. The mistake nearly destroyed Bridgewater; he had to let everyone go and borrow $4,000 from his father to pay bills. What he rebuilt on — radical humility (“I might be wrong” as a working principle) and many small uncorrelated bets instead of one heroic call — turned Bridgewater into the largest hedge fund on earth. That is why this dashboard shows you evidence and probabilities, never certainty: the greatest living macro investor got rich by assuming he might be wrong.
Read the full stories yourself — live sources: Buffett’s own shareholder letters (berkshirehathaway.com) · the Warren Buffett Archive — decades of his interviews on video (CNBC) · the 1963 salad-oil scandal behind the American Express bet · Sir John Templeton’s 1939 trade · Peter Lynch & the Magellan record · Paul Tudor Jones & the 1987 trade · Black Monday itself · Soros vs the Bank of England, 1992 · Jesse Livermore’s rise and fall · the Archegos collapse · Ray Dalio’s 1982 comeback.
The lifestyle behind those results is the opposite of the jet-ski-and-sports-car image sold online. Buffett still lives in the Omaha house he bought in 1958 for $31,500 and describes his job as reading five to six hours a day — he calls knowledge compounding, “like compound interest.” Lynch out-worked everyone in the industry visiting hundreds of companies a year, then retired at 46 — the work was front-loaded, not endless. Tudor Jones defines his edge as defense: “the most important rule of trading is to play great defense, not great offense.” The pattern across all of them: not one built wealth day-trading from a phone. They built it over decades from written plans, obsessive study, boring position sizes, and surviving their worst mistake — every single one of them had a career-threatening loss, and what saved them each time was that the loss was sized to be survivable. That is the realistic path this Learn tab teaches: the paper journal is your Magellan apprenticeship, the calculator is your Tudor Jones defense, and the watchlist evidence panel is your Buffett reading hours — compressed. All stories above are public, documented history; past performance never guarantees future results, and none of this is a promise about any trade you make this week.
These five are alive right now, still managing money through 2026 — and none of them started with wealth, connections, or a finance degree. Their beginnings, their beliefs, and the live links to verify every word:
George Soros — from penniless refugee to the trade of the century (age 95). A Jewish teenager who survived Nazi-occupied Hungary, he arrived in London in 1947 with nothing and paid for his LSE studies working as a railway porter and a waiter. His core belief is startling for a billionaire: fallibility — that he is often wrong, and the entire job is noticing it fast. His own words: “I’m only rich because I know when I’m wrong.” That belief is exactly what survives crashes: the position gets cut the moment the evidence turns, before a mistake can become a catastrophe. Sources: Britannica biography · Forbes live profile.
Edward Thorp — the math teacher who beat the casinos, then the market (age 93, still compounding). A professor with no Wall Street background who started by testing his blackjack math with a small bankroll in Las Vegas, wrote Beat the Dealer, then applied the same discipline to markets: his fund reportedly compounded near 20% a year for almost two decades without a losing year, he sized every position with the Kelly formula so no single loss could ruin him, and he flagged Bernie Madoff as a fraud in 1991 — seventeen years before the world found out. His belief: never bet without a measurable edge, and never bet so big that being wrong ends the game. Still lucid and managing his own money in his 90s — he calls risk management the reason he’s both rich AND alive. Sources: his documented record · his official site — books, papers and biography.
Stanley Druckenmiller — the dropout with (reportedly) zero losing years in three decades (age 73, actively trading via his family office right now). Raised middle-class in Pittsburgh, he dropped out of his economics PhD, started as a bank trainee, and went on to average roughly 30% a year for 30 years at Duquesne — reportedly without one losing year, through 1987, 2000 and 2008. He executed the 1992 pound trade at Soros’s side, and the lesson he took from it is his creed: “It’s not whether you’re right or wrong that’s important — it’s how much you make when you’re right and how much you lose when you’re wrong.” Preserve capital ruthlessly; when the evidence lines up, act with size. His family-office filings are public — you can watch what he holds every quarter: live 13F filings · his current 2026 portfolio analyzed.
Mark Minervini — left school at 15, blew up his first accounts, then won the U.S. Investing Championship twice (still trading and teaching in 2026). No degree, no connections, started with a few thousand dollars of his own savings — and lost money for years until he rebuilt himself around one idea: risk first. He won the 1997 U.S. Investing Championship with a 155% return and won again in 2021 with 334.8% — real, audited, verified accounts. His beliefs: never let any single loss grow beyond a small single-digit percent, only enter when the possible reward is a multiple of the risk, and — his signature line — being wrong is acceptable; STAYING wrong is not. He is living proof that the starting amount matters far less than the discipline applied to it. Sources: his live site · independent 2026 review of his record and program.
Li Lu — from student refugee to the one investor Charlie Munger trusted with his money (still running Himalaya Capital today). He escaped China after Tiananmen in 1989 and landed in America with almost nothing and little English. At Columbia he wandered into a lecture — the speaker was Warren Buffett — and decided that day that markets, studied seriously, were his way up. He founded Himalaya Capital in 1997; Charlie Munger, Buffett’s partner and one of the hardest men on earth to impress, was so convinced by his discipline that he gave Li Lu his own family’s money to manage. His belief: buy quality businesses below their worth, in the few things you truly understand, and let time do the heavy lifting. Source: his documented story.
What all five share — the survival code, distilled. Different countries, different decades, different styles (macro, math, momentum, value) — yet through the crashes of 1987, 2000, 2008 and 2020, every one of them survived on the same five beliefs: ① survival before profit — every position sized so being wrong is survivable (your Section 15 calculator); ② evidence over prediction — they bet on what they can verify, not what they hope (your signals table); ③ ego is the enemy — being wrong costs a little, staying wrong costs everything (your stop-loss discipline); ④ compounding needs decades — not one got rich in a year, and all got rich over twenty (your journal and patience); ⑤ study never stops — Thorp at 93 and Buffett at 95 still read daily. None of it requires starting rich. All of it requires starting disciplined.
Everything on this page gets you started; these outside resources take you further. All are free (or freemium), run by regulators, exchanges or long-established educators — no signal-seller hype. Pick your country to see its official investor school and real tickers worth studying first:
WHEN to buy for the long term — the honest, documented answer. For multi-year goals, the best time to invest is when you have the money: markets have finished up in roughly three out of four calendar years across a century of data, so waiting for the perfect moment usually costs more than it saves — Vanguard’s research found investing a lump sum immediately beat drip-feeding it in about two-thirds of historical periods. The famous risk isn’t crashes — it’s absence: miss just the 10 best market days in a 20-year stretch and your final wealth is roughly HALVED, and most of those best days land inside the scariest weeks (which is why sellers miss them). Practical rules: money you’ll need within ~5 years does not belong in stocks; for everything longer, pick one buying day a month, buy automatically regardless of headlines (dollar-cost averaging — behaviorally the easiest plan to actually keep), and buy MORE, not less, when this dashboard shows quality names near their 52-week lows with the long-term trend intact — that is Templeton’s “maximum pessimism” arriving on schedule.
WHAT to buy for years. The order of reliability, backed by the record: ① broad index ETFs (your country tab lists them — XEQT/VFV, VOO/VTI, VUKE/VWRL, NIFTYBEES, 1306, FMETF) — Warren Buffett famously won a 10-year, million-dollar public bet (2008–2017) that a plain S&P 500 index fund would beat a hand-picked group of hedge funds; it wasn’t close. ② Dividend growers — companies that raised payouts for decades (Fortis 52 straight years, J&J 60+, Royal Bank paying since 1870) tend to be durable businesses by definition. ③ REITs — the income real-estate rows on each country tab; they’re legally required to pay out most of their income (PH REITs distribute quarterly by law). ④ Individual quality stocks last — only in businesses you understand (Lynch’s rule), sized so no single company can wreck the plan.
Reading THIS dashboard as an investor (same data, different glasses). The signals table scores short-to-medium-term evidence — an investor reads it differently: a quality name showing “Sell” or near its 52-week low is often exactly when a long-term buyer gets a better price for the same business, provided the business case is intact (check the evidence panel: is it a price problem or a company problem?). RSI and range position tell an investor about entry QUALITY, not whether to own the asset at all. Earnings ⚠ chips matter less — investors hold through reports. And compounding does the heavy lifting: at the US market’s long-run ~10% average annual return, money doubles roughly every 7 years (the Rule of 72) — four doublings in a working life turns one peso, dollar or pound into sixteen without a single trade.
WHEN an investor sells — almost never, but not never. Three legitimate reasons, and only three: ① the goal is now close (within ~5 years — shift gradually to safer assets, on schedule, not on fear); ② the original reason you bought is factually broken (the moat is gone, the dividend is cut, the story changed — not merely the price fell); ③ rebalancing — once a year, trim what grew far beyond its target weight and top up what lagged; it forces sell-high-buy-low mechanically. What is NEVER on the list: headlines, red months, or someone else’s panic. Peter Lynch’s investors underperformed his own fund by jumping in and out — the plan’s discipline, not the plan’s brilliance, is what pays. As always: educational, not financial advice — past returns don’t guarantee future ones.
Every legend in Sections 17–19 credits books before brokers. These are the field’s proven classics — real, in print for years to decades, verifiable anywhere books are sold. No affiliate links, no courses — pick a year to read why that book earns its place: Reminiscences (1923) is public domain, free on Project Gutenberg; every other title is free through your public library via Libby or in print via WorldCat — pirated-PDF sites are unauthorized, often malware-laced, and take from the authors teaching you to build wealth.
Every crash below is documented history. Notice the pattern that repeats five times: the crash creates the reforms that make markets safer, the fortunes are made in the recovery, and the people who survive are the ones whose losses were sized to be survivable. This is the deepest reason the trader lane needs stops and the investor lane needs diversification.
1 · The Great Crash of 1929 — Wall Street. The Dow fell about 89% from its 1929 peak to the 1932 bottom, and the Great Depression followed. How the world overcame it: the crash literally built the modern market’s safety systems — the SEC (1934) to police fraud, deposit insurance (FDIC) to stop bank runs, and mandatory public disclosures every investor relies on today. The Dow didn’t regain its 1929 peak until 1954 — but an investor who kept buying through the 1930s recovered far sooner, because they were buying the bottom the whole way down. Who rose: Jesse Livermore made ~$100 million shorting the crash (and later lost it — the risk-control lesson of §17), while John Templeton’s 1939 “buy everything under $1” at maximum pessimism became one of the most famous fortunes ever started in a depression.
2 · Black Monday, October 19, 1987. The Dow fell 22.6% in a single day — still the worst one-day percentage crash in Wall Street history, spread worldwide within hours. How the world overcame it: exchanges invented circuit breakers — the automatic trading pauses that still protect every market today — and the market fully recovered in about two years. Who rose: Paul Tudor Jones, who had studied the 1929 pattern, positioned for the fall and returned ~62% that October; investors who simply held finished 1987 with the Dow UP ~2% for the year — the crash that terrified the world barely dents a long-term chart.
3 · The Dot-com Collapse, 2000–2002. The Nasdaq fell ~78% as the internet bubble burst; trillions in paper wealth vanished. How the world overcame it: valuation discipline returned, accounting reform followed Enron and WorldCom (Sarbanes-Oxley, 2002), and the real internet economy was built by the survivors. Who rose: Amazon fell ~94% — from $107 to $6 — and became one of the most valuable companies on earth; investors who could tell a broken PRICE from a broken BUSINESS (the §7 lane note) made generational returns. The Nasdaq itself needed 15 years to regain its peak: the honest lesson that buying bubbles, even of true technologies, costs a decade.
4 · The Global Financial Crisis, 2008–2009. Lehman Brothers failed, the S&P 500 fell ~57%, and the world banking system nearly stopped. How the world overcame it: unprecedented coordinated action — bank recapitalization, near-zero interest rates, and reform (Dodd-Frank, global capital rules) — and from the March 2009 bottom came the longest bull market in history (2009–2020). Who rose: Warren Buffett wrote “Buy American. I Am.” in the New York Times in October 2008 and put billions into Goldman Sachs and GE on terms fear made possible; Ray Dalio’s Bridgewater, built on the humility of 1982 (§17), navigated 2008 positive while most funds bled. An ordinary investor who kept a monthly buying plan through 2008–2009 bought the century’s best prices on schedule.
5 · The COVID Crash, March 2020. The fastest bear market ever: -34% in 23 trading days, with circuit breakers (born in 1987) tripping four times in two weeks. How the world overcame it: the largest stimulus response in history — and the fastest recovery ever, with US markets back at record highs within about five months. Who rose: not a famous few this time, but every ordinary investor who did NOT sell in March and kept buying — while panic sellers locked in the loss and missed a five-month round trip. 2020 is the §21 “missed best days” arithmetic played out in real time, inside one year.
And close to home — the 1997 Asian Financial Crisis. The Philippine peso roughly halved, the PSE index crashed, and the region endured brutal years. How it was overcome: Asian economies rebuilt with large foreign reserves, floating currencies, and stronger banks — reforms that carried the region through 2008 far better than the West. The PSE went on to make new all-time highs in the following decades. For every Filipino reader: your market has already survived its worst — and the investors who kept accumulating quality PSE names through 1997–1998 were buying the foundations of the next boom.
The five-crash summary, in one honest sentence each lane can keep: for the trader — every crash rewarded those who respected their stops and destroyed those who averaged down on leverage (Livermore, Archegos); for the long-term investor — every single crash in this list, including the one that took 25 years, was eventually recovered and surpassed, and the scheduled buyer who continued through the fear bought the best prices of their generation. Crashes are not the end of the market’s story; in a century of documented history, they have always been the chapters where the next fortunes quietly began.
Educational content — not financial advice. Historical patterns describe the past and don't guarantee anything about this week.
Stage 2 of the curriculum, as a working tool: record practice trades at real watchlist prices, write WHY before you enter, and let the results grade you. No real money — just real discipline. Entries are saved on this device.
Each stock is scored by transparent technical rules, each vote −2 to +2:
Long-term trend — above the 200-day moving average +1, below −1. Medium-term trend — above a rising 50-day average +1, below the 50-day −1. RSI (14) — oversold (<30) +2, approaching (<40) +1, stretched (>60) −1, overbought (>70) −2. 52-week momentum — return >+20% adds +1, <−15% adds −1. Range position — at the very top of the 52-week range while overbought −1; near the low with the long-term trend intact +1.
Total score ≥ +3 → Strong Buy · ≥ +1 → Buy · −1 to +1 exclusive → Hold · ≤ −1 → Sell · ≤ −3 → Strong Sell.
What the labels mean factually: Buy = the measurable evidence (trend averages, RSI, momentum) currently leans positive — price strength is confirmed by its own moving averages without being overextended. Sell = the same measurements lean negative — price is trading below its averages and/or momentum is deteriorating. Hold = the evidence is mixed or the stock is technically extended (e.g. RY.TO: in a strong uptrend but RSI 73 and at 100% of its 52-week range, so the entry looks expensive right now). Click any row to see the exact numbers behind its label.
How to attest the data is live and updated: every row's expanded panel shows its own "as of" timestamp and direct links to the two source pages the numbers were read from, so you can verify any figure yourself in one click. At each scheduled refresh the system (1) fetches every page with a cache-busting parameter so it can never read a stale cached copy, (2) runs automatic consistency checks — the price must fall inside the stock's own 52-week range and RSI must be 0–100 — and refetches on failure, (3) marks a ticker "data unverified" rather than ever estimating a number, and (4) spot cross-checks prices against an independent second source (e.g. TD.TO was verified against MarketBeat at setup). Quotes are ~15-minute-delayed exchange data; markets that have already closed (Asia, Europe, Manila) show their official closing figures.
The Outlook column shows a transparent leaning for today / this week / this month, derived only from measurable inputs: today = the current day's move tempered by RSI; week = which side of the 50-day average the price is on; month = the analyst consensus 12-month price target direction combined with the 200-day trend. ▲ leaning higher, ▼ leaning lower, ◆ mixed. Nobody can actually predict short-term prices — these leanings state which way the current evidence tilts, and they can be wrong; news (earnings, rate decisions, geopolitics) overrides technicals without warning. Company news and analyst targets in each row refresh with every scheduled update.
⚠︎ These are educational signals computed from public technical indicators (data: stockanalysis.com, ~15-min delayed). They are not financial advice and not a recommendation to trade. Technical signals can be wrong, especially around earnings and news events. Consider your own situation — and check the tax rules that apply in your own country before trading frequently (country-specific account and tax notes appear under each country tab). This system is an educational tool, not a financial advisor.