Academy Studies

At its core, trading is the buying and selling of financial assets to profit from changes in their price. You are not trying to own a business or collect income from an asset — you are taking a position on where a price is headed and closing it once the move has played out. Almost anything with a fluctuating market value can be traded: currencies, stock indices, commodities like gold and oil, and cryptocurrencies. In each case your job is the same — read the balance between buyers and sellers, and position yourself on the right side of it.

Because a trader profits from the difference between entry and exit price, direction is flexible. You can profit from a rising market by buying low and selling higher, or from a falling market by selling high and buying back lower. That two-way freedom is one of the things that separates trading from simply owning something and hoping it goes up.

Trading looks like clicking buy and sell, but the click is the smallest part. Underneath it sits a repeating cycle: build a skill, prepare your mind, apply what you know, then review the result honestly and look for what to fix. Do that loop thousands of times and you are trading. Skip the review step and you are gambling.

People use the words interchangeably, but they are different activities with different time horizons, different tools, and a different relationship to the asset. The clearest divide: an investor usually owns what they buy; a trader usually does not.

That last point — leverage — is worth pausing on, because it is where beginners most often get hurt. Leverage lets you control a large position with a small deposit by borrowing the rest. It multiplies the effect of a price move in both directions: the same tool that doubles a gain doubles a loss just as fast.

Effectively anyone. The market does not check your degree, your nationality, your age, or your bank balance — it only responds to your decisions. That is genuinely one of its fairest features. But the qualities that actually predict success are not the ones most people expect. You do not need to be a mathematician or an economist. You need a specific temperament.

Notice how many of these are character traits, not technical skills. It is no accident that disciplined people — athletes, for instance — often adapt well. Technical knowledge can be taught in weeks; the temperament to apply it under pressure takes far longer, and it is the part that separates traders who last from those who don't.

This is the section that saves accounts. Most beginners come to education after losing money, not before — a lesson that is valuable precisely because it is expensive. You can skip the expensive version by internalising one uncomfortable fact now: most people who try trading lose money, especially early on.

The influencer fantasy — thousands a day from a beach with a few minutes of work — is exactly that, a fantasy, and buying into it is a reliable path to frustration. A trader who expects instant, large returns quits the moment reality disagrees. This does not mean aiming low; it means aiming realistically. Consistency measured over months beats a lucky week every single time, and it is the only thing that compounds.

Start with the basics, honestly studied, then add experience slowly and deliberately. In practical terms, that means: learn the vocabulary, open a free demo account, and practise on fake money with real prices until you can survive without blowing up. Everything technical you will ever add — strategies, indicators, chart reading — sits on top of that foundation. Skip it and the rest collapses.

As we said at the start, executing a trade is the simple part — it takes no special skill to click Buy or Sell. The skill is in everything that happens before the click. Before every trade you should be able to answer three things: why you are entering, at what price, and in what position size. That size is what decides how large your profit or loss will be.

Two orders turn a gamble into a plan. A Stop Loss caps how much you can lose if you're wrong, and a Take Profit banks your gain when you're right. For long-term profitability your Take Profit should generally be larger than your Stop Loss — so that your wins outweigh your losses even when you are not right every time.

Here is a simplified demo. Decide which way you think the price will move, then act: click Buy to speculate on a rising price, or Sell to speculate on a falling one. Then watch what happens. You don't need to set the Stop Loss and Take Profit here — they're placed automatically, at a 1:2 risk-to-reward, so a win is worth twice what a loss costs.

A financial market is simply a place that lets people exchange financial assets — currencies, stocks, bonds, commodities and more — for money. The capital market is one of its main parts: every day, issuers (who raise funds for their business) meet investors (who are seeking a return) at an exchange. That exchange works as a double-sided auction — the final price of any instrument is decided by the balance of supply and demand, and the price it settles at is called the quote (or "course").

Markets split into two broad families by where and how the trade is settled: centralized markets, where everything runs through one central venue, and decentralized markets, where participants connect directly with no central authority. The rest of this study is about the difference, and why it matters for you as a retail trader.

A centralized market settles every transaction between buyer and seller at one central place. That venue determines the price, and the settlement of trades is called clearing. Because everything funnels through a single regulated hub, these markets are highly standardized — fixed contract sizes, set trading hours, one uniform price for all brokers — and highly transparent. The big national stock exchanges are the classic examples:

A decentralized market is not tied to any single physical or logical location. It works through direct links between participants, with no central authority. Decentralization simply means distributing decision-making power away from a central body — which is exactly what makes cryptocurrencies attractive: Bitcoin, for instance, is a peer-to-peer system that needs no central authority to settle transactions. A decentralized exchange is really just an interface that connects two people who want to trade; the rest is up to them.

The foreign-exchange market is decentralized too, and the term for that structure is OTC — over-the-counter. An OTC market has no central physical location; participants trade with each other directly through means like phone, email and electronic dealing systems. Dealers act as market makers, quoting the prices at which they'll buy and sell. Two participants can complete a trade without anyone else seeing the price it was done at — which is precisely why OTC is generally less transparent than an exchange (the true volume and depth of the market can't be seen) and is subject to less regulation. OTC is mainly used for bonds, currencies, derivatives and structured products.

Neither is "better" — they're built differently, and the differences shape your costs, your access and your protections. Here's the side-by-side:

A stock (or share) is a security that makes its owner a shareholder — a part-owner of the company. That ownership carries rights: a share of the profits through dividends, a vote at the general meeting, and a claim on the liquidation balance if the company is wound up. Companies issue shares to raise capital; investors buy them to grow their money. A shareholder's liability is limited to their stake — the share price times the number held.

Currencies trade on the foreign exchange (Forex) — the biggest, most liquid market, ~$7.5 trillion a day (2022). A pair has a base currency (first) and a quote currency (second). You speculate on one strengthening against the other. In the most-traded pair, EUR/USD, the euro is the base and the US dollar is the quote.

Pairs fall into three groups — majors, minors (crosses) and exotics (e.g. USD/JPY, AUD/USD, EUR/CHF). They're marked by high liquidity and often high volatility depending on the fundamentals, with price typically moving 1–2% a day.

A stock index sums up many instruments from one exchange into a single number — an indicator of how a whole segment or economy is doing. The Frankfurt exchange's famous DAX 40, for instance, is built from the 40 most important German companies — BMW, Adidas, BASF, Bayer, Lufthansa, Siemens and more. Other examples: the Dow Jones Industrial Average, S&P 500, FTSE 100.

Commodities are goods traded without quality differences — one supplier's delivery is interchangeable with another's (a car isn't a commodity; crude oil is). The best-known are crude oil, gold and natural gas, alongside coffee, corn, orange juice and more. Two kinds of participant meet here: a minority who only speculate on price, and those who actually need the physical goods — Starbucks, for example, locks in its coffee supply a year ahead via the exchange. You can trade commodities through CFDs and futures.

Cryptocurrencies are digital or electronic money. Their defining trait — a problem to some, a feature to others — is that they are not regulated by any central authority. The best known is Bitcoin; others include Ethereum, Ripple, Litecoin, Dash and EOS. Their price swings are very steep: Bitcoin ranged from roughly $29,000 to $64,000 during 2021 alone.

Every trader needs a trading strategy (or trading approach — same thing, personal to each trader). It combines your financial goals, your acceptable risk, your instrument choice, and your entry, exit, stop-loss and take-profit rules. Together these give you an edge — a reason to expect favourable results over time. Without an edge, consistent profit is essentially impossible.

Traders are often grouped by how long they hold a position. Shorter styles offer more opportunities but demand more screen time and focus; longer styles need patience and a bigger account.

Reward-to-risk ratio (RRR) is how much you stand to gain versus what you risk. Risk $100 to make $300 and your RRR is 3:1. The higher your RRR, the lower the win rate you need to stay profitable:

Forex runs through three major sessions — Asian, European and North American — and volume shifts through the day. Match the pair to the session: trading EUR/GBP in the Asian session makes little sense, while AUD/JPY offers far better opportunity then. The European and North American sessions carry the highest volume, with markets moving across the board.

A CFD — Contract for Difference — is an agreement between a buyer and a seller to exchange the difference between an asset's price when the contract opens and when it closes. If you go long and that difference is positive, the seller pays you; if it's negative, you pay the seller. Crucially, a CFD is a derivative: it lets you speculate on a price without ever owning the underlying asset. The word derivative comes from "derive" — its price is fully dependent on the underlying asset, which can be a stock, index, commodity, currency pair or cryptocurrency traded on exchanges or OTC markets worldwide.

The first CFD appeared in 1990 — the 20th century — created by the London broker Smith New Court. It delivered the benefits of trading shares without physically owning them: several times cheaper, and able to go short without first borrowing stock. Later that year GNI was permitted to trade CFDs directly on the London Stock Exchange via instructions sent over the internet.

CFDs don't expire, so you can hold one for a long time — but holding overnight can incur a swap charge. The swap is based on the interest-rate difference between the two currencies involved: the bigger the gap, the bigger the swap. It's positive when you're long the higher-interest-rate currency and negative when you're short it, so it varies per pair and per broker. It's typically charged around 10 PM British time — though this differs by broker, so always check your account's terms.

Take the popular German DAX. On the futures market its intra-day margin was around €13,000 per contract (2018), rising beyond €21,000 to hold overnight. Most retail traders don't have that spare — which is exactly where CFDs win: fractional sizing lets you trade the DAX with far smaller capital, and split a position across multiple targets.

Forex — FOReign EXchange — is a decentralized global market where all the world's currencies trade. It's over-the-counter (OTC): there is no single central location. Because it runs 24 hours a day, 5 days a week, it is enormously liquid and it is the biggest market on earth — over $6.6 trillion in daily volume (2019, and roughly $7.5 trillion by 2022). For comparison, the entire US stock market averages around $480 billion a day.

Every forex trade involves two currencies — you're betting one against the other. In the most traded pair, EUR/USD, the euro is the base currency and the US dollar is the quote. At 1.12, one euro equals $1.12; if that number rises, the euro is strengthening against the dollar. Trades can be closed within minutes or held for months.

Forex offers higher liquidity, 24-hour trading, low fees, no expiration and that $6.6T+ daily volume — none of which the futures market matches. And if you want popular futures products like the S&P 500, crude oil or gold, you can still trade them through CFDs offered by forex brokers.

On capital: a forex account can be opened with as little as $100. You can start futures with $100 too, but bigger margin requirements mean much smaller positions.

A key advantage of the OTC forex market is that no single individual or group controls it. A stock exchange like the NYSE could, in principle, be shut down for a day — that simply can't happen to forex. The trade-off is transparency: because it's decentralized, you can't see the true volume or depth of the market the way you can on a centralized exchange.

There are two broker models, and knowing which one you're using matters.

Banks, funds, institutions and small retail traders all meet in forex daily. The large players mostly aren't speculating — they use forex for hedging and real-world business.

Every currency pair has the same structure: a base currency (first) and a quote currency (second), separated by a single slash. In EUR/USD the euro is the base and the dollar the quote; in USD/JPY the dollar is the base and the yen the quote. A price tells you how many units of the quote currency buy one unit of the base — EUR/USD at 1.3 means you need 1.3 US dollars to buy 1 euro. With so many currencies in the world, forex sorts pairs into three brackets: majors, minors (crosses) and exotics.

Majors are the most traded and liquid pairs — all paired with the US dollar, which is on one side of more than 80% of all forex trades. There are seven, and each has a nickname:

Some majors move tightly with commodities and each other. Knowing these links stops you from unknowingly doubling a bet.

Forex trades 24 hours a day, 5 days a week, so you can trade whenever suits your schedule — early bird or night owl. It's only closed at weekends. But each time of day has its own character, so it pays to know the schedule. All times below are London time (GMT+0); note that daylight-saving shifts move these by an hour during the year, so always keep current.

After London closes at 4 PM, New York runs to 9 PM; once it finishes, the Asian session opens again and the cycle repeats.

Many brokers also offer index and commodity CFDs, and their hours differ (London time):

Technical analysis is based on historical patterns and price behaviour. Traders read past price action to judge likely future moves. Its core logic: tools like support/resistance, Fibonacci levels, pivot points and moving averages are watched by so many people that those levels themselves attract supply and demand. But since no two traders are identical, technical analysis is inherently subjective.

There are two camps — indicator traders (moving averages, MACD, RSI, Ichimoku, stochastic — e.g. RSI flags overbought/oversold) and price-action traders (candlestick formations, S/R levels they draw themselves, patterns like head-and-shoulders, cup-and-handle, triangles, flags) — plus many who mix both.

Fundamental analysis determines an instrument's value from economic and financial data. Fundamental traders follow economic, social and political factors that drive supply and demand — inflation, interest rates, government and central-bank decisions, and the near-daily macro releases. Their best friend is the macroeconomic calendar, which tells them exactly when data is due.

Sentiment analysis looks at the behaviour of market participants — are there more buyers or sellers? Its main tool is the Commitments of Traders (COT) report, published weekly by the CFTC. Big institutions report their positions each Tuesday evening, and the report comes out Friday at 3:30 PM Eastern, covering roughly 70–90% of open futures positions. Though it's futures data, it applies to spot forex and CFDs too, since those move hand-in-hand with the futures.

Statistical analysis works closely with technical analysis, but instead of eyeballing indicators it uses statistics of past market behaviour to build strategies that need very little human input. Modern statistical trading applications surface data-based probabilities of how a market has behaved, which traders can act on. Its big strength is removing emotion; its weakness is that thorough backtesting takes real time, and past behaviour never guarantees the future.

Margin lets you open positions bigger than your account balance — so in theory you don't need a lot of money to make a lot. The flip side: you can lose a lot faster too. Think of margin as collateral your broker holds to cover potential losses. The margin requirement is the percentage you must put up to open a position, and it differs by broker.

Your balance is simply the funds you've deposited — it doesn't change when you open a trade. It only moves when you add funds, close a position, or hold overnight (an overnight hold is a "rollover", when a swap is applied — a fee charged or paid at day's end; being paid a swap raises your balance, being charged lowers it).

Equity is the current, real-time value of your account: balance ± the profit/loss of open trades. With a $10,000 balance and an open trade up $1,000, equity is $11,000; if that trade were down $1,000, equity would be $9,000. Equity fluctuates until every position is closed.

Floating PnL is the profit or loss of your currently open trades — it lives in your equity. Long gold at 1,900 with price now 1,880 means you're down 20 points; the dollar amount depends on your size ($1/point = −$20; $100/point = −$2,000). The moment you close, it becomes realised — converted into your balance. Profit isn't real until it's realised; unrealised gains are just paper profits.

Japanese candlesticks are among the most popular methods of technical analysis — pattern-reading that began at an 18th-century Japanese rice exchange, the very beginning of technical trading. Each candle is made of just two parts, a body and a wick: the body spans the open and close, the wicks mark the highest and lowest prices traded. A candle that closes above its open is bullish; one that closes below is bearish. Their power is simplicity — a glance tells you whether buyers or sellers were stronger, and whether a trend may pause or push on. You only see them once you set a chart to candlestick view.

Both signal indecision — a balance between buyers and sellers — and often appear at tops and bottoms, hinting at reversal.

There are almost endless ways to display price, which is exactly why no two traders watch the same thing. Most use candlestick charts — body + wick, bullish when it closes above the open, bearish below, wicks marking the extremes. Bar charts (also called OHLC) show the same data as vertical bars with two notches for open and close; they're a little harder to read for candlestick patterns but can look cleaner for marking support and resistance.

Non-time charts drop the clock and focus on price activity. On a platform like TradingView:

Both strip out noise — the flat periods where the market isn't moving — so trends read more cleanly than on a time chart.

Reading the environment early and adapting to it is one of the most important skills in trading, because ranges and trends demand almost opposite approaches. A trend is simply price moving up or down. Technically, an uptrend is a series of higher highs and higher lows; a downtrend is lower highs and lower lows. Those highs and lows are swing points — a swing low forms when the middle of three candles makes a low the candles either side don't exceed (and the mirror for a swing high).

In a range, price bounces between a high acting as resistance and a low acting as support. Ranges are also called sideways or bracketing markets. Here you don't chase moves — you use mean-reverting strategies, which assume price will return to a "mean" after deviating from it. That mean can be a moving average, VWAP or a price level; from it you measure standard deviations and bet on a return once price stretches to them.

Most traders draw support and resistance as straight or diagonal lines, but that's not quite right: S/R are zones, not exact price points. They work for one simple reason — they're visible to huge numbers of traders and algorithms, so when price reaches them, a lot of participation follows. Think of resistance as a ceiling above price and support as a floor below it; each holds until it breaks. Higher-timeframe zones (4-hour, daily, weekly) carry far more weight than 1- or 5-minute ones.

Marking horizontal S/R is the most popular price-action strategy, usable in ranges and trends. There are two ways to trade it:

Other strong S/R points: round numbers, pivot points, and the opening prices of a new weekly, monthly or yearly candle.

Supply and demand trading is a price-action strategy, close cousin to horizontal support and resistance, built on the same force that drives any market: the balance of buyers and sellers. Picture Apple launching a limited-edition iPhone — heavy demand pushes the price up. Now picture an unlimited run with bad reviews — huge supply, no demand, so the price must fall until buyers appear. In markets, price rises when demand overcomes supply (aggressive buyers beat sellers) and falls when supply overcomes demand.

Imagine an instrument at $100 with limit orders stacked around it:

To reach $102, a buyer must take the 5 contracts at $101 and the 10 at $102. As aggressive buyers push, the limit sellers above start pulling their orders from the book, and price climbs. Where that aggressivity is obvious, a supply or demand zone is born.

Look for consolidations before large expansions. A demand zone is the consolidation before a big move up; a supply zone is the consolidation before a big move down. The larger and more aggressive the move away, the more significant the zone.

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Chart patterns combine horizontal and diagonal support/resistance — one of the oldest parts of technical analysis, repeatedly proven to help traders spot the next likely direction (though never ignore context and current conditions). The most famous reversal pattern is the head and shoulders: after a long uptrend, price makes three peaks — a lower left shoulder, a higher head, and a lower right shoulder — and the neckline (the support the peaks bounce from) becomes your entry when it breaks, signalling the uptrend is ending. The inverse head and shoulders is its mirror after a downtrend, pointing up — and a neckline retest can serve as a second entry.

Triangles sit in between: an ascending triangle (flat resistance + higher lows) leans bullish toward a break; a descending triangle (flat support + lower highs) leans bearish.

Note: this lesson's quiz was written by Web5 from the lesson content as a self-check.

Fibonacci retracements are one of the most popular tools in technical analysis. They come from the Fibonacci sequence — 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144… — where dividing adjacent numbers (from 3 up) yields the ratios. Plotted from a key swing high to swing low with the built-in Fib tool, they act as horizontal support and resistance at 23.6%, 38.2%, 50%, 61.8% and 100%.

A Fibonacci extension projects future support/resistance in trending markets. Pulled from a major swing move, it's especially useful for instruments in price discovery — beyond their previous all-time high (e.g. extensions drawn from the March-2020 crash mapped levels for the Nasdaq after it broke to new highs).

Note: this lesson's quiz was written by Web5 from the lesson content as a self-check.

Technical indicators are mathematical calculations on price or volume that hint at current conditions and the next likely move. There are hundreds — you don't need them all; keep only the ones that fit your plan. Here are the essentials, starting with momentum.

Also here: the ADX measures trend strength (not direction) — below 20 = weak/ranging, above 50 = strong trend. The Stochastic oscillator, like RSI, flags overbought/oversold and gives %K/%D crossover signals.

Note: this lesson's quiz was written by Web5 from the lesson content as a self-check.

Divergence trading spots potential reversals by comparing price action with an oscillator — usually RSI, MACD or Stochastic. Normally, when price makes a higher high the oscillator should too; when they disagree, that's a divergence, and it warns of a possible trend change. Because it hints at a turn before it happens, divergence is a leading indicator (unlike lagging moving averages or Bollinger Bands), which can give you early entries and excellent reward-to-risk.

Regular divergence points to a trend reversal. Wait for confirmation (price action or another indicator) rather than jumping straight in.

Hidden divergence signals a trend continuation — often easier than trying to call tops and bottoms.

Note: this lesson's quiz was written by Web5 from the lesson content as a self-check.

Breakout trading is popular with traders and algorithms alike. You can spot breakouts two ways: with price action (horizontal S/R and chart patterns) or with volatility indicators. Volatility measures how much price fluctuates — high volatility means fast back-and-forth, low volatility means tight ranges. And it's precisely during low-volatility, tight-range conditions that breakouts tend to fire. The go-to volatility tools are Bollinger Bands, Keltner Channels and Donchian Channels (built on moving averages or ATR). Breakout trading is an impatient style — traders chase rising volatility with stop or market orders.

The problem: false breaks above and below obvious ranges are common — and there's a simple reason. Just beyond any well-known level sit two kinds of orders. Above resistance, you'll find stop-losses from traders who are short and buy-stop orders from breakout traders. Both are effectively buy orders, so they pile up as resting liquidity. Large participants use that liquidity — absorbing the buys with big sell orders — producing a false breakout up, then a continuation down.

Note: this lesson's quiz was written by Web5 from the lesson content as a self-check.

Being well prepared is half the battle. You can't jump onto an empty chart and expect to profit — you need a trading plan, drawn directly on the chart across multiple timeframes. The idea is to zoom out for direction and zoom in for entries, using price action (horizontal and diagonal S/R). Because preparation is best done when markets are calm, weekends are ideal for the job.

Note: this lesson's quiz was written by Web5 from the lesson content as a self-check.

The Relative Strength Index is a momentum oscillator that measures the speed and size of recent price moves to flag overbought and oversold conditions. Created by J. Welles Wilder in 1978, it became hugely popular for its simplicity and works across all timeframes, oscillating between 0 and 100.

There's no single "best" setting — it depends on your style:

Note: this lesson's quiz was written by Web5 from the lesson content as a self-check.

The Average True Range, also from J. Welles Wilder (1978), measures market volatility — how much price moves, not which way. High volatility means unpredictable swings; low volatility limits opportunity but often precedes a sharp expansion.

Note: this lesson's quiz was written by Web5 from the lesson content as a self-check.

A moving average is a smooth line built from past prices — a lagging indicator that simplifies trend reading (very beginner-friendly). It shows three things: trend direction (price above the MA = bullish/buyers in control; below = bearish), dynamic support/resistance (the MA acts as a floor above it, a ceiling below it), and entry/exit cues — most famously via crossovers of a short MA and a longer one.

Which is "best" depends on volatility, timeframe and style. Active/day traders favour responsive EMAs/WMAs; longer-term traders like smoother SMAs. Common settings: swing = 50/100/200-day, day = 5/10/20 (the 20 is a popular intraday trend/S-R guide).

Note: this lesson's quiz was written by Web5 from the lesson content as a self-check.