How Technical Analysis Works in Real Markets

After understanding what Technical Analysis is and what to expect from it, Rajesh felt a little more confident. But a new question came up almost immediately. If Technical Analysis studies price movement, how does it actually work across different markets? And why do traders trust price data so much? 

Priya smiled and said, “Before learning tools and patterns, you must understand the foundation on which Technical Analysis stands.”

Technical Analysis is considered highly versatile because it can be applied to almost any asset class, provided historical price data is available. This data usually includes the opening price, highest price, lowest price, closing price, and trading volume over a period of time. In technical terms, this is called time-series data.

To make this easier to understand, Priya gave a simple example. Once a person learns how to drive a car, the same skill can be applied to different cars. The size, engine, or brand may change, but the basic driving principles remain the same. Similarly, once a trader understands Technical Analysis, the same concepts can be applied across equities, commodities, currencies, or other traded assets. The logic of price behaviour remains consistent.

This is one of the major advantages of Technical Analysis when compared to other research approaches. 

Now consider this, studying company fundamentals requires analysing financial statements such as profit and loss, balance sheet, and cash flows. However, if someone shifts from equities to commodities, the factors change completely. Agricultural commodities depend on rainfall, harvest, supply, and demand, while metal or energy commodities depend on entirely different variables. 

Technical Analysis, on the other hand, focuses only on price behaviour, making its application uniform across markets.

The Core Assumptions Behind Technical Analysis

Rajesh noticed that Technical Analysis seemed very different from traditional investing methods. “So does it mean technical analysts don’t care whether a stock is cheap or expensive?” he wondered aloud.

Priya explained that Technical Analysis is built on a few important assumptions, and understanding these assumptions is essential before moving ahead.

The first assumption is that markets discount everything. This means that all known and unknown information — news, expectations, rumours, and future possibilities — eventually gets reflected in the price. For example, if someone expects strong results from a company and starts buying shares, the price begins to move even before the news becomes public. A technical analyst focuses on the price movement itself rather than the reason behind it.

The second assumption is that the “how” is more important than the “why.” Instead of asking why a stock moved, technical analysis studies how the price reacted. The belief is that price behaviour itself contains sufficient information for decision-making.

The third assumption is that prices move in trends. Large market moves do not happen instantly. They develop gradually over time. Once a trend is established, prices tend to continue in that direction until something significant changes.

The fourth assumption is that history tends to repeat itself. Markets are driven by human emotions such as fear and greed. Since human behaviour remains largely unchanged, similar price patterns tend to appear again and again. Traders react in similar ways during rising markets and falling markets, which leads to recurring patterns.

Understanding the Trade Summary – Why OHLC Matters

During market hours, thousands or even millions of trades take place in a single stock. Every trade happens at a slightly different price. Rajesh wondered how anyone could make sense of so many price points.

Priya explained that instead of tracking every single trade, traders use a summary of price action for a given period. This summary is created using four important data points:

• Open: the first price at which a trade happens when the market opens.
• High: the highest price at which the stock traded during that period.
• Low: the lowest price at which the stock traded during that period.
• Close: the final traded price before the market closes.
  
   

Together, these are known as OHLC data.

Among these, the closing price holds special importance because:

• The closing price reflects the final consensus between buyers and sellers for that time period. 
• It often indicates the strength or weakness of the market. 
• If the closing price is higher than the opening price, the day is generally considered positive. 
• If it closes lower, the sentiment is considered negative.

The closing price also becomes an important reference point for the next trading session. This is why technical analysts pay special attention to it while studying charts.

Instead of getting lost in countless price movements, OHLC data allows traders to summarise the entire trading activity in a simple and meaningful way. These four data points form the foundation for chart analysis, which will be explored in the coming chapters.

Rajesh nodded slowly. “So, Technical Analysis is not just about patterns or indicators. It starts with understanding price behaviour itself.”

Priya smiled. “Exactly. Before you learn advanced tools, you must understand what the price is telling you. Once you respect price data, charts begin to make sense.”

Rajesh laughed, “Looks like I’ll be staring at charts a lot from now on.”

Priya replied, “Yes. But soon you won’t just see lines and candles - you’ll start seeing market psychology.”

Key Takeaways

• Technical Analysis can be applied to any asset class with historical price data.
• It is based on four major assumptions about markets and price behaviour.
• Markets discount all available information into price.
• Price movements tend to follow trends.
• Market behaviour often repeats due to consistent human reactions.
• OHLC (Open, High, Low, Close) data summarises trading activity effectively.
• The closing price is especially important as it reflects market sentiment.