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Intermediate Trading

You know the basics — now sharpen your edge. Learn to read charts like a pro, evaluate real companies, and build a portfolio that can weather any market.

Technical Analysis

Charts aren't fortune-telling — they're a read on crowd psychology. Here's how to spot the setups that matter.

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📐Chart Patterns — Head & Shoulders, Double Tops, Triangles

Beyond single candles, recurring price shapes like head-and-shoulders, double tops, and triangles reveal when a trend is likely to continue or reverse. These patterns form because human behavior — fear and greed — repeats itself.

Spot the setups other traders are watching too Builds on: Support & Resistance (Beginner)
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🌡️RSI — Spotting Overbought & Oversold Conditions

The Relative Strength Index measures how fast and how far a price has moved, on a scale of 0-100. Readings above 70 suggest an asset may be overbought; below 30 suggests oversold — an early warning of a potential pullback or bounce.

Catch stretched moves before they snap back
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📊MACD — Reading Momentum and Trend Shifts

The Moving Average Convergence Divergence indicator compares two moving averages to reveal shifts in momentum. When the MACD line crosses its signal line, it's often one of the earliest clues that a trend is changing gear.

See momentum shift before price fully confirms it Builds on: Moving Averages (Beginner)
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🎢Bollinger Bands — Measuring Volatility in Real Time

Bollinger Bands wrap a moving average in an upper and lower band based on volatility. Bands that squeeze tight often precede a big move; bands that stretch wide signal an already-extended market.

Know when calm is about to break Builds on: Volatility (Beginner)
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🔗Stacking Indicators for Confluence

No single indicator is reliable on its own — they all lag or lie sometimes. The real skill is combining two or three (say, a trend line, RSI, and volume) and only acting when they agree. That agreement is called confluence.

Filter out false signals by demanding agreement
Worth knowing: no indicator predicts the future with certainty — they all lag price to some degree. Use them to stack probability in your favor, not as guarantees, and always pair signals with a risk management plan.

Stock Picking

Move beyond the ticker symbol. Here's how to read what a company's numbers are actually telling you.

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🧾Reading the Income Statement — Is It Actually Profitable?

The income statement shows revenue, expenses, and profit over a period. Look beyond the headline number — is revenue growing, are margins expanding, and is profit coming from the core business rather than one-off gains?

Separate real growth from accounting noise
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⚖️The Balance Sheet — How Much Debt Is Too Much?

The balance sheet shows what a company owns versus what it owes at a single point in time. A healthy balance sheet has manageable debt relative to earnings and enough cash to survive a downturn without panicking.

Avoid businesses one bad year from trouble
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💧Cash Flow — Following the Money, Not Just the Profit

Profit can be shaped by accounting choices; cash is harder to fake. Free cash flow shows how much real money a business generates after running and investing in itself — the fuel for dividends, buybacks and growth.

Cash flow tells the truth profit sometimes hides
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🌳Growth vs Dividend Stocks — Matching Companies to Your Goals

Growth stocks reinvest everything to expand fast and rarely pay dividends; dividend stocks are typically mature, stable businesses that return cash to shareholders directly. Neither is "better" — it depends on whether you want income now or growth later.

Pick companies that match what you actually want Builds on: Dividends (Beginner)
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🏷️Valuation — What's a Fair Price to Pay?

Even a great company can be a bad investment at the wrong price. Comparing metrics like P/E, P/S, and PEG ratio against a company's own history and its peers helps you judge whether you're paying a fair price or chasing hype.

Buy quality without overpaying for it Builds on: P/E Ratio (Beginner)
Worth knowing: no single metric tells the whole story — a low P/E can mean a bargain or a business in decline. Always read the numbers together, and alongside the industry a company competes in.

Balancing a Portfolio

Picking good assets is only half the job. Here's how professionals combine them into a portfolio that holds up.

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🥧Asset Allocation — Your Most Important Decision

How you split your money across stocks, bonds, cash and other assets drives the vast majority of your portfolio's long-term risk and return — far more than which individual stock you pick. Get the mix right first.

The single biggest lever you actually control Builds on: Types of Assets (Beginner)
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🔀Correlation — Why Owning 20 Stocks Isn't Always Diversified

If your 20 holdings are all tech companies, they'll likely rise and fall together — that's not real diversification. True diversification comes from combining assets that don't move in lockstep, so when one zigs, another zags.

Smooth out the ride without giving up returns Builds on: Diversify Instead of Betting on One Stock (Beginner)
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⚖️Rebalancing — Keeping Your Portfolio on Target

Winners grow to take up more of your portfolio over time, quietly shifting your risk higher than intended. Rebalancing — periodically trimming winners and topping up laggards — brings you back to your target mix and locks in gains.

Systematically sell high and buy low
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📏Position Sizing — How Much Is Too Much in One Holding?

Even a great conviction idea shouldn't dominate your portfolio. Capping any single position at a sensible percentage limits the damage if you're wrong, without capping your upside if you're right.

Survive being wrong so you can profit from being right Builds on: Diversify Instead of Betting on One Stock (Beginner)
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🧭Time Horizon & Risk Tolerance — Matching the Plan to You

A 25-year-old saving for retirement and a 60-year-old about to retire shouldn't hold the same portfolio. Your time horizon and how much volatility you can stomach without panic-selling should shape your entire allocation.

A portfolio you can actually stick with Builds on: Think in Decades, Not Days (Beginner)
Worth knowing: a well-balanced portfolio isn't a one-time setup — your goals, risk tolerance and life stage change over time, and your allocation should be revisited as they do.

Key Terminology

18 terms that separate casual investors from people who actually understand what they own — click any one to expand it, with a plain-English definition and a real example.

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Alpha & Beta — Skill vs Market Exposure

Beta measures how much an investment moves with the overall market; alpha measures the extra return earned above what beta alone would predict. Alpha is what separates genuine skill (or luck) from just riding the market.

Example: A fund that returns 12% in a year the market returns 10%, with a beta of 1.0, has generated 2% of alpha — it beat the market by more than its market exposure alone would explain.
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Sharpe Ratio — Return Per Unit of Risk

Two portfolios can have the same return but very different levels of risk taken to get there. The Sharpe ratio divides excess return by volatility, giving you a single number to compare how efficiently different strategies generate their gains. Builds on: Volatility (Beginner).

Example: Strategy A returns 15%/year with big swings (Sharpe 0.6); Strategy B returns 11%/year much more smoothly (Sharpe 1.1). B is the more efficient strategy per unit of risk taken, even with the lower headline return.
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Drawdown — Measuring the Pain, Not Just the Gain

Maximum drawdown is the largest drop from a peak to a trough your portfolio experienced. A strategy with great average returns but brutal drawdowns can be harder to stick with than a steadier one with slightly lower returns. Builds on: Volatility (Beginner).

Example: The S&P 500's maximum drawdown during the 2007-09 financial crisis was roughly -57% from peak to trough — even long-term index investors had to sit through that before recovering.
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Liquidity — How Fast Can You Get Your Money Out?

Liquidity describes how quickly and cheaply an asset can be bought or sold without moving its price. Highly liquid assets like large-cap stocks are easy to exit; less liquid assets like small caps or property can trap your capital when you need it most. Builds on: Cash & Cash Equivalents (Beginner).

Example: Selling $10,000 of a large-cap stock barely moves its price. Selling $10,000 of a thinly-traded micro-cap stock, or a property, can take days or weeks and may require accepting a worse price to exit quickly.
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Hedging — Insuring Your Portfolio Against the Unexpected

Hedging means taking a position specifically designed to offset losses elsewhere in your portfolio — like holding some bonds or gold alongside stocks. It typically costs some return in exchange for smoother, more predictable outcomes. Builds on: Bonds (Beginner).

Example: An investor holding mostly stocks adds a gold allocation. In a sharp stock sell-off, gold often holds its value or rises, cushioning the overall portfolio's drawdown.
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Correlation — Do Your Holdings Actually Move Together?

Correlation measures how closely two assets' prices move in relation to each other, from -1 (perfectly opposite) to +1 (perfectly in lockstep). Diversification only genuinely reduces risk when the assets you're combining have low or negative correlation to each other.

Example: Holding 10 different tech stocks feels diversified, but they're often highly correlated (0.7+) — they tend to fall together in a tech sell-off. Adding bonds or gold, with low correlation to stocks, does more to smooth the ride.
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Rebalancing — Keeping Your Allocation on Target

Rebalancing means periodically buying or selling holdings to bring your portfolio back to its target allocation, after market moves have drifted it away. It forces a disciplined "sell high, buy low" habit rather than letting winners silently grow into an oversized risk.

Example: A 60/40 stocks/bonds portfolio can drift to 70/30 after a strong stock rally. Rebalancing means selling some stocks and buying bonds to get back to 60/40 — trimming the winner, topping up the laggard.
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Yield Curve — What the Bond Market Thinks Is Coming

The yield curve plots interest rates across bonds of different maturities, from short-term to long-term. Normally longer-term bonds pay more. When it "inverts" — short-term rates pay more than long-term — it has historically been a widely watched early-warning signal for recessions.

Example: The 2-year/10-year Treasury yield curve inverted in mid-2022, ahead of widespread recession discussion in 2023 — a textbook case of the market pricing in a coming slowdown.
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P/E Ratio — Is a Stock Expensive or Cheap?

The price-to-earnings ratio divides a company's share price by its earnings per share, giving a rough sense of how much investors are paying for each dollar of profit. A high P/E can mean high growth expectations — or an overpriced stock; a low P/E can mean a bargain — or a company in trouble.

Example: A stock trading at $100/share with $5 of annual earnings per share has a P/E of 20 — investors are paying $20 for every $1 of current profit, a bet that earnings will keep growing.
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Asset Allocation vs Security Selection

Asset allocation is the split between broad categories (stocks, bonds, cash, etc.); security selection is picking specific investments within each category. Research consistently shows allocation drives the large majority of long-term portfolio returns and risk — far more than which individual stocks you pick.

Example: Two investors both pick "good" individual stocks, but one holds 90% stocks and one holds 40% stocks/60% bonds. Their allocation difference will dominate their outcomes far more than their individual stock picks did.
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RSI (Relative Strength Index) — Overbought/Oversold Momentum

RSI is a momentum indicator, scored 0-100, that measures how fast and how far a price has recently moved. Readings above 70 are often read as "overbought" (may be due a pullback); readings below 30 as "oversold" (may be due a bounce) — a signal to watch alongside price, not a standalone buy/sell trigger. Builds on: Chart Patterns, RSI (Intermediate lessons).

Example: A stock rallies sharply and its RSI climbs to 78 — momentum traders take this as a caution flag that the move may be overextended in the short term, even if the longer-term trend stays intact.
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MACD — Spotting Momentum Shifts

The Moving Average Convergence Divergence (MACD) indicator tracks the relationship between two moving averages to highlight changes in momentum direction and strength. When the MACD line crosses above its signal line, it's often read as a bullish shift; crossing below, bearish. Builds on: MACD, Confluence (Intermediate lessons).

Example: A stock in a downtrend sees its MACD line cross above the signal line while the histogram flips positive — traders watch this as an early sign momentum may be turning higher.
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Moving Average — Smoothing Out the Noise

A moving average plots the average price over a set number of recent periods (e.g. 50 or 200 days), smoothing out day-to-day noise to reveal the underlying trend. Price crossing above or below a key moving average, or one moving average crossing another, is a widely watched trend signal.

Example: A "golden cross" — the 50-day moving average crossing above the 200-day — is a widely cited bullish trend signal; a "death cross" is the reverse, widely cited as bearish.
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Support & Resistance — Price Levels That Tend to Hold

Support is a price level where buying pressure has historically stepped in to stop a decline; resistance is a level where selling pressure has historically capped a rally. Neither is a guarantee — they're zones where the odds of a reaction have historically been higher, not hard floors or ceilings. Builds on: Chart Patterns, Confluence (Intermediate lessons).

Example: A stock bounces off $40 three separate times over six months — traders start treating $40 as a support level, watching closely for whether a fourth test holds or finally breaks.
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Free Cash Flow — Cash Left After Keeping the Lights On

Free cash flow (FCF) is the cash a company generates from operations after paying for the capital expenditures needed to maintain and grow the business. Unlike reported earnings, it's harder to distort with accounting choices, making it a favored measure of a company's real financial health. Builds on: Cash Flow (Intermediate lesson).

Example: A company reports strong net income but has negative free cash flow because it's spending heavily on new factories — worth understanding whether that spending is temporary growth investment or a sign profits aren't converting to real cash.
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PEG Ratio — P/E Adjusted for Growth

The PEG ratio divides the P/E ratio by the company's expected earnings growth rate, adjusting the "is it expensive?" question for how fast the company is actually growing. A high P/E can look far more reasonable once growth is factored in — or a low P/E can look less like a bargain if growth is stalling. Builds on: P/E Ratio (above), Valuation (Intermediate lesson).

Example: A stock with a P/E of 30 and 30% expected earnings growth has a PEG of 1.0; another stock with a P/E of 15 but only 5% growth has a PEG of 3.0 — the "cheaper" P/E stock is actually pricier once growth is accounted for.
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Debt-to-Equity — How Leveraged Is This Company?

The debt-to-equity ratio divides a company's total debt by its shareholder equity, showing how much of the business is financed by borrowing versus owners' capital. Higher leverage can amplify returns in good times but also amplifies losses and financial stress in downturns. Builds on: Balance Sheet (Intermediate lesson).

Example: Two companies earn the same profit, but one has debt-to-equity of 0.3 and the other 2.5 — the highly-leveraged one is far more exposed if revenue drops or interest rates rise, even with identical current earnings.
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Payout Ratio — How Much of Profit Goes to Dividends

The payout ratio is the percentage of a company's earnings paid out as dividends, rather than reinvested in the business. A very high payout ratio can signal limited growth reinvestment, or a dividend at risk of being cut if earnings dip. Builds on: Growth vs Dividend Stocks (Intermediate lesson).

Example: A company paying out 95% of its earnings as dividends has very little buffer — a bad quarter can force a dividend cut, whereas a company paying out 40% has room to maintain its dividend through a rough patch.
Worth knowing: the Pro track builds directly on these concepts with options, macro analysis, and advanced portfolio construction. Bookmark this page as a quick refresher.

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