So far, we have become familiar with financial markets, Forex, crypto, and stocks. From this point on, we are entering market analysis. In other words, we will learn how to examine available information in a structured way so that we can make more informed trading decisions.

This chapter is the foundation of technical analysis. My goal is for us to first understand what analysis really is, what data technical analysis relies on, what price actually shows us, and how the chart we are going to work with for hours is built and what limitations it has.

Analysis means collecting, organizing, interpreting, and evaluating information in order to reach a more logical decision.

In financial markets, analysis is not meant to predict the future with certainty. No method can guarantee that the price will definitely rise or fall.

The purpose of analysis is to understand the current market situation better, separate more probable scenarios from weaker ones, make more accurate decisions about entry, exit, and risk management, and know when our idea is no longer valid.

Analysis is a tool for making probability-based decisions; it is not a prediction machine, and it is not a way to eliminate risk.

For example, the price of an asset may be sitting in an area that it has reacted to several times in the past. We can assess the probability of another reaction, but there is no guarantee that the market will behave the same way this time. Supply and demand, news, liquidity, or trader behavior may have changed, and the price may move through that area.

Every purchase or sale in the market is a decision, even if that decision is made emotionally or randomly.

The difference is that an analytical decision can be explained, recorded, and evaluated. An emotional decision usually cannot be reviewed accurately afterward.

When you enter the market without analysis, you usually do not have a clear reason for entering. You do not know where your idea becomes invalid, and you have not defined how you should react in profit or loss.

In that situation, your decision may change with every small price movement. It also becomes very difficult to tell whether your loss came from bad luck or from a problem in your method.

News, rumors, or market excitement may also replace your trading plan.

Analysis does not create profitability by itself, but the absence of analysis increases the chance of reactive and unplanned decision-making.

There are different analytical methods in financial markets.

The most important ones are fundamental analysis, technical analysis, sentiment analysis, quantitative analysis, and in the crypto market, on-chain analysis.

The boundaries between these methods are not always completely clear. Many professional traders build their trading systems by combining several types of analysis in order to achieve better results.

However, in this course, our main focus is technical analysis. Other forms of analysis are also important, but each one has its own logic, data, tools, and specialized training. You can study them in their dedicated courses within AIOTA's educational programs.

Fundamental analysis is a method that attempts to examine the economic value, financial condition, quality of a business, economic factors, and external drivers of an asset.

For example, a fundamental stock analyst examines how much revenue and profit a company has, what its business model is, how much debt it has, and whether the current share price is high or low relative to an estimate of its value.

In Forex, factors such as interest rates, inflation, employment, growth, foreign trade, central-bank policy, and political risk are important.

In the commodities market, factors such as production, weather, inventories, transport, industrial consumption, war, sanctions, and export policies can be important.

And in crypto, an analyst may examine a project's use case, token supply, economic model, development status, network users, protocol revenue, security, decentralization, and regulation.

Fundamental analysis helps us look beyond the shape of the chart and understand which economic, financial, or structural forces may affect an asset.

Fundamental analysis, especially for long-term investing, can provide a deeper framework for examining a company, the quality of its business, and its valuation.

However, for a short-term trader, it usually does not provide precise answers to some important questions on its own.

For example, exactly at what price and time should I enter? If my analysis is wrong, where should I exit? Where should I place my stop loss? What is the risk-to-reward ratio of the trade? Or when and how strongly will the market react to a piece of news?

Your analysis of a company may be correct, but its share price may still decline in the short term. Likewise, a piece of news may be logically negative, but because the market had already expected it, the price may rise after the news is released.

So, fundamental analysis can help answer the questions of "what" and "why." But for the questions of "when," "where," and "with how much risk," we usually need other tools as well.

Technical analysis is the study of past and current market behavior, mainly through price, volume, and time, with the goal of assessing probable future scenarios.

In technical analysis, instead of first going directly to a company's financial statements, a country's economy, or the news, we look at the final result of all these factors in the market price behavior.

The main data used in technical analysis include the opening price, the high price, the low price, the closing price, trading volume, time, and in some markets, open interest.

But there is one very important point to keep in mind from the beginning. Technical analysis is not simply drawing lines on a chart.

Professional technical analysis includes reading price data, understanding supply and demand, identifying price action structure, choosing the right timeframe, recognizing important areas, measuring risk, defining when an analysis is model, and testing and evaluating a trading method.

Fundamental and technical analysis are not absolute competitors. They answer different questions.

Fundamental analysis focuses more on the value and economic condition of an asset. It helps us understand WHY.

Technical analysis focuses more on price behavior and market data. It helps us see HOW, right now.

An investor may select a company using fundamental analysis and manage the timing and price level of their purchase more effectively with technical analysis.

A short-term trader may also use technical analysis while reducing trade risk during the release of important economic data.

One of the most important advantages of technical analysis is that it can turn an idea into an executable plan.

For example, technical analysis can help a trader determine in which area they are looking for an entry opportunity, where their analysis becomes invalid, where the stop loss should be placed, where the trade target is, and how they should react if price behavior changes.

This precision does not mean that technical analysis always identifies the correct point. It means that a trader can turn their decision into measurable conditions.

Anything that has reliable price data and a trustworthy chart can technically be analyzed through technical analysis.

Forex currency pairs, cryptocurrencies, stocks, indices, commodities, futures contracts, bonds, and ETFs all have price charts.

But this does not mean that all markets are the same. Market structure, trading hours, liquidity, volume data, price gaps, leverage, fees, and data quality are different across markets.

For example, in stocks, volume data on centralized exchanges usually has a clearer meaning.

In spot Forex, the market is decentralized, and many platforms display tick volume or their own limited data rather than the total volume of the global market.

In crypto, volume data may also be spread across many exchanges, and the quality of volume reporting is not the same on every platform.

Even so, technical analysis creates a common language: the language of price, time, and market behavior.

Every piece of news, central-bank decision, financial report, war, rumor, fund order, algorithmic behavior, or change in supply and demand, if it creates trading activity, will ultimately show its effect in price and volume.

But we need to understand this statement correctly. The fact that the effect of information appears in price does not mean that the chart tells us the cause of every movement or shows the future with certainty.

A chart shows us which price the market currently accepts, which range it has traded in, which reactions have occurred, and how supply and demand have behaved.

But a chart does not necessarily tell us which participant traded, what information they had, or why they made that trade.