How Markets Really Move
In Module 1 you learned what a trade is. Now the question is what makes prices change at all. The answer is less obvious than most people assume, and understanding it properly changes how you read every chart you will ever look at.
Most beginners think prices move because of news. A company reports strong earnings, the stock goes up. A central bank raises interest rates, the currency falls. That is true, but incomplete in a way that costs money. Prices do not move because of news. They move because news changes what buyers and sellers are willing to pay right now. The distinction sounds subtle. In practice it is the difference between chasing headlines and actually understanding what drives a market.
This module teaches the mechanism beneath the price. By the end, you will understand why markets move even when there is no news, what a bid and ask price are and what they cost you, what liquidity means for every trade you take, how market sessions affect the conditions you trade in, who is actually on the other side of your trades, and why price is always the most honest signal available. These are the concepts that make everything in the remaining thirteen modules make sense.
In Module 1 you learned that every trade has two sides and that profit comes from being right about price direction. This module explains what determines that direction in the first place. The two lessons are designed to be read in sequence.
Supply, demand, and why price moves at all
Before anything else: why does a price move? It sounds like a question with an obvious answer. It does not have one, until you think it through carefully.
A price exists because two parties agree on it. The moment more people want to buy something than want to sell it at the current price, the price has to rise until enough sellers appear. The moment more people want to sell than buy, the price falls until buyers step in. That is the entire mechanism. Every indicator, every news event, every central bank statement is just a factor that shifts the balance of buyers and sellers in one direction or the other.
Supply is the quantity of an asset available for sale at a given price. Demand is the quantity buyers are willing to purchase at that price. When demand exceeds supply, the price rises. When supply exceeds demand, it falls. When they are roughly balanced, the price moves sideways. A chart is a visual record of that balance shifting over time.
Supply and demand in a live market moment
It is 9:30am. NovaTech stock opens at $48.00. At this price, 50,000 shares are available for sale (supply) and buyers want 50,000 shares (demand). The market is balanced. The price holds.
At 9:42am, news breaks that NovaTech won a major government contract. Within seconds, buyers want 200,000 shares at $48.00. Sellers only have 50,000 available. Supply cannot meet demand at this price.
The price rises to $49.50. More holders decide selling is now worthwhile. Supply increases to 120,000 shares. Still not enough. Price rises further to $51.20.
At $51.20, supply and demand balance again: 180,000 shares available, 180,000 wanted. The price stabilises. It will stay near this level until something else shifts the balance.
The news did not move the price. The news changed what participants were willing to pay, which changed the supply-demand balance, which moved the price. A trader who anticipated the announcement and positioned at $48 profited from the entire $3.20 move.
Prices also move with no news at all. A large institutional buyer decides to accumulate a position quietly over three days. Their buying alone tips the balance, and the price rises, even though nothing fundamental has changed. This happens constantly. It is why technical analysis, the study of price and volume patterns rather than news, has genuine value: it captures the footprints of supply and demand imbalances even when no public event explains them.
Think of a farmers' market on the last hour of Sunday trading. A vendor has twenty jars of honey left and three buyers want them. The vendor can raise the price: demand exceeds supply. An hour earlier, the vendor had eighty jars and two buyers. They had to lower the price to clear stock. Nothing changed about the honey. The price changed because the ratio of buyers to available supply changed. Financial markets run on exactly this logic, across millions of instruments, simultaneously, every second the market is open.
The most useful reframe I ever made was to stop asking "what is the news?" and start asking "who is buying and who is selling, and why might that change?" News is a trigger. The underlying supply-demand dynamic is the actual driver. Once you see markets this way, price action becomes information rather than noise, and charts start making a different kind of sense.
Price moves because the balance between buyers and sellers shifts. News, data releases, and sentiment are all just factors that cause that balance to tip. A trader's job is to identify where and when the balance is likely to tip next, and to be positioned before it does. Understanding this mechanism is what separates reading a chart from actually understanding it.
The bid, the ask, market orders, and what the spread really costs you
Every time you trade, you encounter two prices. Most beginners notice only one of them. Understanding both, and the gap between them, is worth real money across the lifetime of a trading account.
The bid price is the highest price a buyer is currently willing to pay. The ask price, sometimes called the offer, is the lowest price a seller is currently willing to accept. These two prices are almost never identical. The gap between them is called the spread.
This gap exists because buyers and sellers rarely agree on the exact same price at the exact same moment. Market makers, the intermediaries described in Section 4, continuously quote both sides and capture the spread as compensation for providing immediate liquidity. The spread is not visible as a line item on your trade confirmation. It is built into the prices you are shown.
When you place a market order, you are telling the platform to execute immediately at the best available price. If you are buying, that is the ask. If you are selling, that is the bid. Market orders guarantee execution but not price: you accept whatever the current ask or bid happens to be. A limit order, by contrast, lets you specify the exact price you are willing to accept. It does not guarantee execution, because the market may never reach your price, but it guarantees you will not pay more than you specified. The choice between the two is a practical decision made every time you enter or exit a position, and Module 7 on order types covers it in full depth.
The real cost of the spread, calculated
Your platform shows EUR/USD: Bid: 1.08540 / Ask: 1.08552. The spread is 1.2 pips. A pip is 0.0001 in a currency pair, the smallest standard unit of price movement.
You place a market buy order. You pay the ask: 1.08552. The moment your position opens, if you closed it immediately, you would sell at the bid: 1.08540. You are already down 1.2 pips before the market has moved at all.
On a standard lot of 100,000 units, 1.2 pips equals $12.00. On a mini lot of 10,000 units, it is $1.20. This cost applies on every open and every close, win or lose.
A trader making 200 trades per year on standard lots with a 1.2 pip spread pays $2,400 per year in spread costs alone, before commissions. On a $20,000 account, that is a 12% annual hurdle before the first dollar of profit is realised.
A strategy that wins 45% of the time with a 1:2 risk-reward ratio is mathematically profitable at 150 trades per year. At 300 trades per year, the same strategy may not be, once spread and commission costs are deducted. Overtrading does not just dilute your edge. It can erase it entirely through transaction costs alone.
Spreads are not fixed. They widen when liquidity is low: early morning before major markets open, over weekends in crypto markets, and immediately before and after major economic data releases. A EUR/USD spread that is normally 1.2 pips can jump to 8 or 10 pips in the seconds around a Federal Reserve announcement. Entering a position at that moment means paying a spread that could be six times the normal cost, on top of the volatility risk of the event itself.
Think of the spread like the exchange rate gap at an airport currency kiosk. You know the euro trades at roughly 1.09 against the dollar, but the kiosk buys your euros at 1.05 and sells at 1.13. The gap is their profit for providing convenience. You pay it because you need immediate execution, not because it is a fair price. A better rate exists if you wait, but waiting means uncertainty. Every time you trade at the market price, you are paying the airport kiosk rate. Understanding this does not make it avoidable, but it makes you far more deliberate about when it is worth paying.
I tracked my trades for six months before I tracked my transaction costs. When I finally built a spreadsheet that included spread and commission, I found two strategies I believed were profitable were actually slightly negative after costs. The spread is invisible on any single trade. Across two hundred trades it is the number that determines whether a marginal strategy works or quietly bleeds you out.
You never trade at a single price. You pay the ask to buy and receive the bid to sell. The spread is a cost on every trade, applied to winners and losers equally. Track it, factor it into every risk-reward calculation, and never enter a trade around a major news release without knowing how wide the spread has become. Transaction costs are not a footnote. They are part of the strategy.
Liquidity, slippage, and why the market you choose matters as much as the trade
Liquidity is used constantly in trading conversation without ever being properly explained to beginners. That gap costs money, because liquidity affects not just the cost of your trades but whether you can exit them at the price you expect at all.
Liquidity is how easily an asset can be bought or sold without significantly moving its price. A highly liquid market has many buyers and sellers active at any moment, so even large orders fill quickly at predictable prices. An illiquid market has few participants, so even a moderately sized order can push the price against you before it is fully filled.
The practical consequence is direct. In a liquid market, your stop loss executes at or very close to the price you set. In an illiquid market, your stop might trigger at $40 but fill at $38.60 because there were not enough buyers at $40 to absorb your entire sell order. That gap between where you expected to exit and where you actually exited is called slippage, and it is one of the most damaging and least discussed costs in trading.
Imagine you are selling a house in a city where 500 buyers are actively looking. You list at $500,000 and receive multiple offers within a week. Your asking price is met. Now imagine selling the same house in a remote town where three buyers exist. You list at $500,000 and hear nothing for months. Eventually you drop to $460,000 to find a buyer. The asset did not change. The number of participants did. Liquid markets are cities. Illiquid markets are remote towns. In both you can trade, but only in one can you expect your price to be met.
James buys 2 contracts of ES (S&P 500 futures) at the market. The bid-ask spread is 0.25 points ($12.50). His order fills instantly. His stop loss is set 10 points below entry. When triggered later, it fills within 0.25 points of the target. Total slippage: less than $15. The market absorbed his order without flinching.
Maria buys 500 shares of a small company in pre-market trading. Spread: $0.40 on a $12 stock, which is 3.3% before the trade has moved. Her order takes 90 seconds to fill at $0.18 above the price shown when she clicked buy. On exit, the spread has widened to $0.65. Her stop loss fills $0.30 worse than set. Total friction: over 8%, before the trade has had a single chance to work.
Both traders applied the same stop loss discipline from Module 8 on risk management. The market they chose determined whether that discipline translated into the expected outcome. Liquidity is not context. It is a core variable in every trade.
For beginners the practical rule is simple: trade liquid markets until you understand what illiquidity costs. For futures traders, that means the major contracts: ES (S&P 500), NQ (Nasdaq), CL (crude oil), GC (gold). For forex traders, the major pairs: EUR/USD, GBP/USD, USD/JPY. For stock traders, large-cap names with millions of shares traded daily. The learning curve is steep enough without adding execution unpredictability to every position.
The first time I traded a thinly-traded commodity contract, my stop filled nearly four ticks worse than set. On that contract, four ticks was $200. I had sized the position assuming the stop would execute cleanly. It did not, because there were not enough participants at that moment to absorb my order at the right price. I learned liquidity the expensive way. You do not have to.
Liquidity determines whether the market can absorb your order without the price moving against you. High liquidity means predictable fills, tight spreads, and reliable stop execution. Low liquidity means slippage, wide spreads, and execution risk that makes every position more expensive than planned. As a beginner, trade the most liquid instruments in your chosen market. Master execution in clean conditions before adding illiquidity to the variables you manage.
Market sessions: when markets are alive and when they are not
Liquidity does not arrive at 9:00am and leave at 5:00pm. It follows the sun around the planet, concentrating wherever the largest financial centres are open and dispersing as they close. Understanding this cycle is not optional knowledge for a beginner. It determines the quality of every trade you take.
There are four major trading sessions, each anchored to a financial centre with its own character, its own instruments, and its own typical behaviour.
The Sydney session opens the trading week on Monday morning local time, which is Sunday evening in most of the world. Volume is the lightest of the four. Currency pairs involving the Australian and New Zealand dollar see their most active movement here. For most beginners in other time zones trading other instruments, this session is background noise rather than opportunity.
The Tokyo session follows and is the first major Asian session. Japanese yen pairs, notably USD/JPY, EUR/JPY, and GBP/JPY, see their most reliable volume here. The session tends to be range-bound compared to the European and US sessions: prices often move within a defined zone rather than trending strongly in one direction, making it less suitable for beginners learning to trade directional breakouts.
The London session is where the real volume begins. London is the world's largest foreign exchange centre, accounting for roughly 38% of global forex turnover. When London opens at 8:00am GMT, spreads tighten, volume surges, and price action becomes considerably more decisive than anything the Asian sessions produced. European stock markets open around the same time, adding equity flow to the picture. For traders in Europe and Africa, this is the primary session. For traders elsewhere, it is often the most productive window even if it requires waking up early.
The New York session opens at 1:00pm GMT and overlaps with London for approximately four hours. This overlap, from 1:00pm to 5:00pm GMT, is the single most liquid period in global financial markets. Volume peaks, spreads are at their tightest, and the most significant price moves of the day tend to occur within this window. US economic data releases, which move every market on the planet, land during the early New York session. For futures traders, the 9:30am New York open of the US stock market is one of the most watched moments of the trading day.
The same instrument, two different sessions
It is 3:00am New York time. EUR/USD is trading. The spread is 3.8 pips. The price has barely moved in two hours, ranging within a 12-pip window. Volume is thin. Most European and American participants are asleep. The Tokyo session is active but EUR/USD is not its primary focus.
Eight hours later, it is 11:00am New York time. The London-New York overlap is in full swing. The same EUR/USD spread is now 0.9 pips. The price has moved 65 pips in the last two hours. Three identifiable trend moves have occurred, each with clear structure. The market is alive.
A trader who placed a stop-loss order at 3:00am would have paid 3.8 pips in spread cost to enter. The same setup at 11:00am would have cost 0.9 pips. On a standard lot, that is a difference of $29 per trade, before the trade has moved at all. Over 200 annual trades, the session choice alone accounts for $5,800 in additional cost if the trader consistently trades in thin sessions.
Beyond cost, the chart structure itself is different. At 3:00am, any pattern that forms may be driven by a handful of algorithmic systems with nothing meaningful to react to. At 11:00am, patterns form from the collective behaviour of thousands of participants acting on real information. The signal quality is categorically different. Session matters for cost. It also matters for the reliability of what you are reading.
For stock traders, the session logic is simpler but equally important. US equities are most liquid between 9:30am and 11:30am New York time, and again between 2:30pm and 4:00pm. The first 30 minutes after open can be extremely volatile as overnight orders execute and early reactions to news occur. Many experienced traders wait until 10:00am before entering positions, letting the initial chaos settle into more readable structure. The hour before the close sees a second surge of activity as institutions close or adjust positions before end of day.
One of the clearest performance improvements I made was simply stopping trading outside the London-New York overlap for forex. Not because the other sessions are impossible to trade, but because my strategies were calibrated on data from liquid sessions. Outside those windows, the patterns that worked in liquid conditions produced worse fills, wider spreads, and unpredictable outcomes. Matching your session to your strategy is not optional. It is part of the strategy.
Liquidity follows the sun. The London-New York overlap is the most liquid period in global markets, offering the tightest spreads, the most reliable fills, and the most tradeable price action. Trading outside active sessions does not just cost more. It changes the character of the market in ways that can make your approach unreliable. Know when your market is most alive, and plan your trading around it.
Who is on the other side of your trade, and why it matters
In Module 1, the worked example described "someone selling shares at $48." That someone is worth understanding precisely, because the participants in any market are not equivalent. Knowing who else is in the room changes how you read the price patterns they create.
Retail traders, the category that includes you at the start, represent a growing and meaningful share of daily market volume. The advantage a retail trader has is flexibility: no mandate to beat, no benchmark to report against, no obligation to be invested at all. The disadvantage is an asymmetry in information, speed, and infrastructure compared to every other participant. A retail trader's edge comes not from competing on those dimensions, but from avoiding the timeframes and patterns where those advantages matter, and operating in the spaces where they do not.
Institutional investors, pension funds, mutual funds, and sovereign wealth funds, manage hundreds of billions of dollars. Their positions are so large they cannot be executed at once without pushing the price against themselves. A fund wanting to buy $500 million of a stock spreads that purchase across days or weeks, gradually accumulating the position. This slow accumulation creates detectable footprints in the price and volume data, the kind of patterns that technical analysis was originally developed to identify. When a stock rises quietly for three days without any news, a large buyer is often the explanation.
Market makers sit between buyers and sellers, continuously quoting both a bid and an ask and capturing the spread as their compensation for providing immediate liquidity. They are not taking directional bets. They hedge their inventory to stay neutral. Without market makers, liquid markets would not exist: every time you get an instant fill at a tight spread, a market maker is on the other side. Their presence is what makes the spread cost described in Section 2 the reliable, predictable expense it is rather than something unpredictable.
Algorithmic and high-frequency trading firms operate at speeds no human can match, sometimes holding positions for fractions of a second. Some are market makers. Some are arbitrageurs, identifying tiny price differences between related instruments and closing them before anyone else can. Some are momentum followers reacting to price signals faster than any person. Their presence makes markets more efficient and generally tightens spreads, but it also means that certain short-term patterns which once worked have been arbitraged into obsolescence.
Think of a poker table with four different types of player. One is a tourist playing for fun with no strategy. One is a professional with a decade of experience counting cards. One is the house, making money regardless of who wins. One is a computer running optimal game theory in milliseconds. Each player creates different dynamics at the table. The tourist and the computer should not be playing the same hands. Financial markets work similarly: the strategies that work for retail traders operate in timeframes and on patterns that the other participants either ignore or cannot exploit at the same scale.
Knowing who else is in the market does not tell you where the price will go. It tells you whose behaviour is creating the price patterns you are looking at, and whether those patterns are likely to persist or be erased by faster, better-capitalised participants.
TraderPayout Masterclass, Module 2
A trader I worked with kept losing on setups that looked perfect on the chart, only for the price to reverse sharply right after his entry. The pattern was real. But it was being exploited so efficiently by algorithmic systems that by the time a retail trader could identify it and act, the move was already half over. He was not reading the market wrong. He was reading a pattern that had been mostly arbitraged away. Knowing who else is in the room tells you which rooms are worth being in.
Markets are not a single homogeneous crowd. Retail traders, institutions, market makers, and algorithmic systems each behave differently and create different patterns. A strategy that works because of institutional footprints in the data fails when institutions are not active. Understanding who creates the conditions you trade in is part of understanding whether your edge is real and durable, or situational and temporary.
Price discovery: why price is always the most honest signal you have
There is a concept that ties every section of this module together, and it is one that most beginner courses never name directly. It is called price discovery, and understanding it changes how you relate to every number you see on a chart.
Price discovery is the process by which a market arrives at the price that reflects the current collective assessment of all participants about the value of an asset. It is not a calculation. It is not determined by any one participant. It is the aggregate result of millions of individual decisions, each one reflecting different information, different expectations, and different risk tolerances, all compressed into a single number: the last traded price.
The price at any moment is not right or wrong. It is exactly what the aggregate of all available information and participant expectations produces. When a trader says "this stock is undervalued," they mean their assessment of fair value is different from the market's current assessment. They might be correct. But they are not arguing with a flawed calculation. They are arguing with the collective judgment of every participant who has looked at the same asset and decided to buy, sell, or hold at the current price.
Consider a sealed-bid auction where 10,000 people submit what they believe a painting is worth. The winning bid is not the painting's true value. It is the highest valuation anyone was willing to act on, right now, with the information they had. The following week, a new expert opinion suggests the painting is more historically significant than believed. More bidders submit higher offers and the clearing price rises. The price changed not because the painting changed, but because the collective assessment changed. Financial markets work identically, in real time, continuously, without pause.
Price discovery in action: a central bank surprise
The US Federal Reserve is expected to hold interest rates unchanged. This expectation is already in current prices: the dollar, bonds, and equity indices are all priced as though rates stay flat. The consensus is already in the price.
The announcement arrives: rates are raised unexpectedly by 0.25%. This conflicts with the priced-in consensus. Every participant must immediately reassess: what is the dollar worth with higher rates? What are bonds worth? What are equities worth with a higher discount rate applied to future earnings?
Within seconds, the dollar surges. Bond prices fall sharply (yields rise). Equity futures drop. This is price discovery at high speed: the market rapidly finding a new price that reflects the updated consensus. Not one participant set these prices. All of them did, simultaneously.
Within 20 minutes, moves stabilise as price discovery completes. A trader who anticipated the surprise and positioned beforehand profited from the full move. A trader who reacted after the public announcement found prices had already moved most of the way. Price moves on the change in expectations, not on the event itself.
This is why experienced traders say "buy the rumour, sell the news." By the time a widely anticipated event is confirmed, the price has usually already moved to reflect it. The price discovery process is perpetually forward-looking. It prices in what participants expect to happen next, not what has already occurred.
It also explains why a company can report record profits and see its stock fall on the same day. If the market expected even stronger profits, the actual result is a disappointment relative to the priced-in expectation, even if the absolute number is historically excellent. Price is always relative to expectation. That single principle explains more confusing market behaviour than any chart pattern or indicator ever will. Module 4 on reading charts builds directly on this, showing how the visual patterns on a chart are records of collective expectation shifting over time.
The most repeated beginner mistake I have watched is buying a stock after good news and immediately wondering why it falls. The answer is always the same: the people who were positioned for the good news are now selling into the rally. What the beginner is buying is the exit of everyone who was already right. Understanding price discovery does not eliminate this trap. It makes it impossible to fall into unknowingly, which is the most you can ask of any single insight.
Price is not a measure of value. It is a measure of current consensus. It moves on changes in that consensus, not on events themselves. This is why prices often move before the news that explains them, and why "good news" produces falling prices when that news was already expected. Trading is not about identifying good assets. It is about identifying where the current consensus is wrong, and positioning before the correction arrives.
Markets are voting machines, not weighing machines
Benjamin Graham, the father of value investing, said that in the short run the market is a voting machine, but in the long run it is a weighing machine. He meant that short-term prices reflect sentiment and consensus rather than underlying value, while long-term prices eventually converge on fundamentals. For a trader operating over hours, days, or weeks, the market is always a voting machine.
The vote is continuous, real-time, and driven by the collective behaviour of retail traders, institutions, market makers, and algorithms, each with different information and incentives. What moves prices is not truth. It is the shift in what participants collectively believe, or expect, or fear. A trader's edge is not superior knowledge of the underlying asset. It is a systematic advantage in reading which way the vote is about to shift, entering before it does, and exiting when the consensus has moved enough to make the position profitable.
Supply and demand, the bid-ask spread, liquidity, market sessions, participant behaviour, and price discovery are all aspects of the same mechanism: the continuous process of participants voting on what something is worth, right now, with the information they have. Keep this model in mind as you build the technical skills in the modules ahead, and each tool will make more sense from the start.
Module 3 is ready when you are.
Now that you understand how markets move, the next step is the instrument at the core of professional trading: futures contracts. Module 3 covers what futures are, how they differ from stocks, and why most prop firm evaluations are built around them.
Continue to Module 3: Understanding Futures