Technical Analysis

Explore a range of comprehensive guidebooks on technical analysis, designed to equip traders with the tools to analyze market trends and make informed decisions. These guides delve into chart patterns, indicators, and other analytical techniques, making them invaluable resources for anyone seeking to understand and apply technical analysis in stock trading.

Price Volume Analysis

Price Volume Analysis is a popular strategy used in technical analysis which allows investors to make more informed decisions about buying and selling stocks. This strategy analyses the relationship between a stock’s trading volume and its price.

Trading volume refers to the number of shares traded in a given time period, while the price refers to the cost per share. When they come together in an analysis, it can help gauge market sentiment and could potentially predict future market trends.

For instance, an increase in trading volume combined with a rise in stock price is often seen as a positive indicator reflecting strong investor interest. It implies that the asset has real, robust demand, and it would suggest a continuing upward trend in price. On the other hand, a rise in volume accompanied by a drop in price could indicate a bearish (downwards) trend.

However, investors should not rely solely on Price Volume Analysis when making investment decisions. It should be used in combination with other technical indicators to increase the accuracy of predictions, as this analysis does not consider a number of other crucial market influences.

Moving Averages

Moving Averages is a common term in technical analysis, used to identify trends in stock or asset prices. This form of analysis involves calculating the average of a security’s price over a specific number of periods. The two most popular types of moving averages are the Simple Moving Average (SMA) and the Exponential Moving Average (EMA).

The Simple Moving Average is calculated by adding up the prices over a set number of periods and then dividing by that number. For example, if you’re looking at a 10-day SMA, you would add up the closing prices from the last 10 days and divide by 10.

The Exponential Moving Average, on the other hand, is a bit more complex as it assigns more weight to recent prices. This means it reacts more quickly to price changes than the simple moving average.

Moving averages smooth out price data to form a trend-following indicator. They do not predict price direction but rather define the current direction with a lag. Traders use them to identify potential trading opportunities in financial markets. They are often used in conjunction with other technical indicators for more precise predictions and trading strategies.

Stochastic Oscillator

The Stochastic Oscillator is a momentum indicator used in technical analysis that compares a particular closing price of a security to a range of its prices over a certain period of time. This is typically expressed as a percentage from 0 to 100.

The main idea behind the Stochastic Oscillator is that in an upward-trending market, prices will be closing near their highs, and in a downward-trending market, they will be closing near their lows. By comparing the location of a security’s recent closing price in relation to its price range over a selected time period, traders can identify potential trend reversals and generate buy or sell signals.

There are two lines in a Stochastic Oscillator; the %K line represents the number of time periods and the %D line is a moving average of the %K line. When these two lines intersect, it indicates a buy or sell signal.

A Stochastic Oscillator value above 80 is generally considered a sign that the market may be in overbought territory, suggesting prices might soon decline. Conversely, a value below 20 suggests the market might be oversold, which could indicate potential for a price increase in the near future. This is a basic method of interpretation, and there are many different strategies and subtleties when using this tool in technical analysis.

Pivot Points

Pivot Points are a type of technical analysis tool used by traders to determine potential support and resistance levels. These play a vital role in identifying the moments where the direction of market’s price movement could change. Pivot Points are calculated using the high, low, and closing prices from the previous trading session.

There are several methods to calculate pivot points, but the most commonly used are the Standard Pivot Point and the Fibonacci Pivot Point. The standard version calculates the pivot point with an average of the high, low, and closing prices. It predicts five levels of potential support and resistance. Meanwhile, the Fibonacci version uses the same formula to find the pivot point, but applies Fibonacci retracement levels to determine potential support and resistance zones.

These pivot points are significant because they’re often used by professional traders and therefore become self-fulfilling prophecies. As more traders watch these levels and place trades around them, the prices will often react at these levels. Beginners can utilize pivot points as a strategy to understand better where to enter and exit trades, and where to place stop loss or take profit orders.

Fibonacci Retracements

Fibonacci Retracements is a popular tool in technical analysis that uses horizontal lines to predict potential support and resistance levels, based on the Fibonacci numbers. These retracement levels indicate where the price could potentially find support or resistance following a significant price movement.

The key Fibonacci ratios are 23.6%, 38.2%, 50%, 61.8% and 100%, each derived from the Fibonacci number sequence, which starts with 0 and 1, with each subsequent number being the sum of the previous two numbers. In the context of trading, these ratios are used to identify potential reversal levels.

For example, after a significant price increase, you might use Fibonacci retracement levels to predict where the price could potentially start to bounce back or ‘retrace.’ If it retraces to the 50% level, that means it has given back 50% of its recent move.

Traders use these levels as a guide to adjust their trades or to time their entries and exits. It’s important to remember, however, that while Fibonacci retracements can be helpful, they are not guaranteed to predict market movements accurately and should be used in conjunction with other technical indicators.

Parabolic SAR

Parabolic SAR (Stop and Reversal) is a popular technical analysis tool used by many traders and analysts, mainly known for its ability to identify potential reversal points in the market trend. The term ‘parabolic’ describes the shape of the indicator when it’s charted, which resembles a parabola, and ‘SAR’ stands for ‘Stop and Reversal’, indicating the stop-loss points and potential trend reversal areas.

The Parabolic SAR takes the form of dots placed above or below the price chart of an asset. When the dots are below the price, it indicates an uptrend, signalling buying opportunities. Conversely, when the dots are above the price, it signifies a downtrend, suggesting selling opportunities. The SAR is calculated in a way that it accelerates with the trend, therefore the distance between the SAR and price decreases as the market moves in favor of the trend.

One of the key advantages of the Parabolic SAR is its simplicity in signaling entry and exit points, making it easily understood by beginner traders. However, as with any technical indicator, it is prudent to use it in conjunction with other indicators to ensure increased accuracy of signals.

Triangle Setup

The Triangle Setup is a popular pattern in technical analysis that traders often use to anticipate the future direction of a price.

This setup derives its name from its triangular shape that is formed on a pricing chart. The Triangle Setup consists of two convergent trendlines- one serving as a support level and the other acting as a resistance level. The price oscillates between these levels, creating a series of lower highs and higher lows, thus forming the shape of a triangle.

There are three types of Triangle Setups – ascending, descending, and symmetrical.

In an ascending triangle, the resistance line is horizontal, and the support line is upward trending, indicating potential future upward movement.

In contrast, a descending triangle has a horizontal support line and a downward trending resistance line, while a symmetrical triangle has both lines converging towards the same point.

Traders often perceive a breakout in the direction of the overall trend when the price moves outside the triangle boundaries. By using this setup, traders can identify potential buying or selling opportunities, depending on the predicted breakout direction.

However, like any predictive tool, Triangle Setups aren’t foolproof and should be used in conjunction with other indicators and data to make informed trading decisions.

Swing Trading

Swing Trading is a strategy used in the financial markets where positions are held for longer than a single day, aiming to profit from price changes or ‘swings.’ This trading style requires patience and a firm understanding of technical analysis. Swing traders identify ‘waves’ or fluctuations in market prices and aim to enter the market during a period of retracement or replacement, usually by setting a specific target price or a clear exit strategy.

The main goal of Swing Trading is to capture a sizable portion of a potential price move. Because trades typically span a day to a couple of weeks, swing trading is more suitable for those who can spend a few hours each week analysing the market and managing trades, which makes it suitable for part-time traders or those with busy schedules. Day trading, on the other hand, requires constant market monitoring and numerous trades in a single day.

However, it’s crucial to say that Swing Trading also carries risk. If the trader fails to implement proper risk management strategies or the market is highly volatile, considerable losses can occur. Therefore, becoming successful in Swing Trading requires a combination of in-depth technical analysis, constant learning, and strong discipline to stick to trading plans.

Bollinger Bands®

Bollinger Bands® is a commonly used technique in technical analysis, formulated by John Bollinger in the 1980s. This indicator consists of three lines drawn on a price chart that represents different levels of price volatility. The lines include the Simple Moving Average line, an upper band, and a lower band.

The Simple Moving Average (SMA) line is calculated based on a specific number of periods, usually 20. The Upper and Lower Bands are plotted two standard deviations away from the moving average line. The concept behind Bollinger Bands® is that price tends to return to the moving average line.

Bollinger Bands® vary in distance from the SMA line based on the volatility of the market. In periods of high volatility, the bands widen, and during low volatility, they contract. When prices touch or cross the upper band, it could be seen as a sell signal or an overbought condition. If prices touch or breach the lower band, it could imply a buying signal or oversold condition.

However, rather than using these crossings as entry/exit points, most traders use Bollinger Bands® to understand the direction and strength of the trend, and for potential warning signs of changes in the trend’s direction. This technical analysis tool is used in several markets like stocks, commodities, cryptocurrencies, and forex markets.

Remember, using Bollinger Bands® or any technical analysis tool should not be done in isolation, but rather in conjunction with other indicators for more accurate predictions.

Fibonacci Extensions

Fibonacci Extensions are an important tool used in technical analysis, commonly used to predict potential areas of support and resistance in the future price movements of assets. These extensions are based on the Fibonacci sequence, a series of numbers where each number is the sum of the two preceding ones.

Fibonacci Extensions help traders to identify potential price targets or the end of a particular trend. They extend beyond the 100% level of a price move and are often drawn along with Fibonacci retracements, which help identify potential reversal levels.

The most common Fibonacci Extension levels are 138.2%, 161.8%, 200%, and 261.8%. For example, if a stock price rallied from ₹10 to ₹20, then pulled back to ₹15, a trader could use Fibonacci Extension levels to estimate where the price might go once it starts moving again.

Traders plot these extensions on a chart by taking two extreme points – a major peak and trough – and dividing the vertical distance by key Fibonacci ratios. Remember, these are predictive tools, not guarantees. Thus, they should be used with other forms of analysis to increase their accuracy.

Average Directional Movement Index

Average Directional Movement Index, often referred to as ADX, is a tool used in technical analysis to measure the strength of either a bullish (upward) or bearish (downward) trend. Created by J. Welles Wilder Jr, the ADX ranges from 0 to 100 and is non-directional, meaning it examines the strength of a trend but does not identify its direction.

A low ADX value (0-25) typically indicates a weak or absent trend, while a high value (25-100) indicates a strong trend. It is important to note however that a high ADX value does not necessarily mean a positive or profitable move. A strong upward trend can be equally as volatile as a strong downward trend.

The ADX is based on a comparison of two other indicators, also created by Wilder: the positive directional movement (DMI+) and negative directional movement (DMI-). If the DMI+ is greater than the DMI-, this indicates a positive or bullish market trend. But if the DMI- is greater than the DMI+, this indicates a negative or bearish market trend.

However, remember that like all indicators, the ADX should never be used alone but should be combined with other indicators and tools for a more complete and accurate analysis


Candlesticks are graphical representations of price movements in a specific time period for trading financial assets such as stocks, forex, commodities among others. The concept of candlestick charting originated from Japan over 100 years ago and is widely used in technical analysis to predict price movements.

A single candlestick consists of four main parts: the open, close, high, and low. The ‘body’ of the candlestick is formed by the opening and closing prices. If the closing price is higher than the opening price, it forms a ‘bullish’ candlestick, often shown in green or white. Conversely, if the opening price is higher than the closing price, it results in a ‘bearish’ candlestick, typically portrayed in red or black.

The ‘wick’ or ‘shadow’ of the candlestick represents the highest and lowest prices during the time period of the candlestick. The upper wick indicates the highest price point, whereas the lower wick marks the lowest price point.

Candlestick patterns can provide key insights about market psychology and potential reversals in market trends. Hence, understanding candlesticks is essential for carrying out effective technical analysis in trading.

Momentum Indicators

Momentum Indicators are tools used in technical analysis that measure the speed or rate at which the price of an asset is moving. These indicators help traders identify potential price reversals, overbought or oversold conditions, and the strength of a trend. Usually, they are created by calculating the difference between a current and past price over a specific period of time.

Some popular momentum indicators include the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and the Stochastic Oscillator. For example, the RSI compares the magnitude of recent gains to recent losses in an effort to determine overbought and oversold conditions. RSI readings above 70 typically indicate overbought market conditions, while readings below 30 suggest oversold conditions.

Momentum indicators are commonly used in conjunction with other forms of technical analysis, including trend lines and moving averages, to generate more reliable buy or sell signals. These indicators can be an extremely valuable tool for traders when used properly, helping to determine the best times to enter or exit a trade based on the asset’s momentum.

Average True Range

Average True Range (ATR) is a key technical analysis tool that measures market volatility. It was originally invented by J. Welles Wilder Jr. in the 1970s for commodity markets, where gaps and limit moves occur frequently. However, today, it is widely used in all investment markets, including stocks and forex.

ATR calculates the average of true price ranges over a specified period. True range primarily focuses on value changes from one period to another, considering factors like the high & low of the current period and the close of the previous period.

A higher ATR denotes higher market volatility, meaning price values fluctuate quite drastically. On the other hand, a low ATR indicates a less volatile market with relatively stable price movements.

It’s vital to note that while ATR helps gauge market volatility, it does not provide any indication of price direction. Therefore, ATR is generally used in conjunction with other technical analysis tools or strategies to generate effective trading signals.

Standard Deviation

Standard Deviation is a statistical measurement extensively used in technical analysis in the world of finance. It helps to understand the volatility or the dispersion of a set of values, whether that be returns on a stock, market indices or for any other investment securities. A low standard deviation means that values tend to be closely clustered to the average (or mean), while a high standard deviation indicates that the values are spread out over a wide range.

In investment terms, securities with higher standard deviation are considered more volatile or risky as their prices can change dramatically in a short period, potentially leading to significant losses or gains. Conversely, a security with a low standard deviation is seen as less volatile because its value doesn’t fluctuate as dramatically, generally regarded as a safer investment.


Indicators, in the context of technical analysis, are statistical calculations that are used to forecast potential price changes in the stock market. These are mathematical calculations based on a security’s price and/or volume. The results are plotted on a chart and overlaid on price action to aid traders in making buy or sell decisions.

Indicators are the cornerstone of technical analysis, providing signals of market direction to help identify potential trends, patterns, and opportunities to buy or sell. They can be classified into two categories: leading and lagging indicators. Leading indicators are used to predict price changes before they happen, providing insights into potential future market trends. Lagging indicators, on the other hand, reflect historical data and confirm a pattern or trend after it has already been established.

Some of the widely-used indicators include Moving Averages, Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and Bollinger Bands. Each of these indicators provides different information, and using them in conjunction can increase the clarity and accuracy of a trader’s analysis. However, no indicator is foolproof and they should always be used in conjunction with other forms of analysis to increase their effectiveness.


Charting, in the context of technical analysis, involves the use of visual representations such as graphs and charts to track the price movements and trading volumes of securities over specific periods of time. This can range from short-term periods like minutes and hours to long-term periods like weeks, months, or years.

There are various types of charts used in technical analysis, including line charts, bar charts, and candlestick charts. Each type provides a unique way to visualize price data, allowing traders to analyze market trends and identify potential trading opportunities.

Line charts show a simple line drawn from one closing price to the next, bar charts show the opening, closing, high, and low prices for each period, and candlestick charts use a combination of lines and coloured bars to showcase more information about the price movement.

The key purpose of charting is to help traders forecast future price movements based on historical patterns. Essentially, by studying past market action, they aim to make an educated prediction about what could happen next.

Relative Strength Index (RSI)

The Relative Strength Index (RSI) is a momentum oscillator used in technical analysis that measures the speed and change of price movements of a security. The index is used to identify overbought or oversold conditions in the trading of a security.

RSI is a scale from 0 to 100 and generally, when RSI rises above 70, it may indicate that the stock is becoming overbought and overvalued and might be primed for a trend reversal or corrective price pullback. Conversely, if the RSI drops below 30, it indicates an oversold condition and suggests an upward trend may be nearing.

The RSI is calculated using average price gains and losses over a defined period of trading sessions, typically 14. In addition to identifying potential buy and sell levels, the RSI can also be used to confirm whether the current trend is strong. For instance, if the price is showing an upward trend and the RSI is above 50 and rising, it helps confirm that the bullish trend is strong.

Remember, while the RSI can provide valuable insights, it should not be used as the sole reference for buying and selling decisions, but instead in conjunction with other technical analysis tools.

Volatility Forecasting

Volatility Forecasting is a critical technique used in technical analysis, primarily associated with predictions regarding financial markets. ‘Volatility’ refers to the rate at which the price of an asset, such as a security or currency, increases or decreases for a set of returns. It measures the market’s expectation of the range of changes that will happen in the future price of a particular asset.

Volatility Forecasting, therefore, is the process of predicting this expected range of changes. Traders and investors often use it to estimate the fluctuations in the price of an asset. It is important because it helps market participants to manage risk and make informed decisions. Volatility is generally measured using statistical methods or by examining historical price data. However, it’s crucial to note that past volatility cannot predict future volatility with full accuracy, it only gives an estimate.

High volatility typically signifies that the asset’s price can change significantly in a short period, suggesting greater risk. Conversely, low volatility indicates that price changes are not as intense and implies lower risk. By forecasting volatility, market participants can evaluate the potential risk and return of different investment options effectively.


Oscillators are tools used in technical analysis that help traders identify potential opportunities in the market by indicating points where a security could be either overbought or oversold. They operate within a band or scale, typically with a range of zero to 100, or -100 to +100.

When the oscillator reading is near the top of its band (e.g. above 70 on a 0-100 scale), this suggests the security is overbought, meaning it may be overpriced and due for a downward price correction. Conversely, when the oscillator is near the bottom of its band (e.g. below 30 on a 0-100 scale), the security might be considered oversold, implying it is underpriced and could possibly be due for an upward price correction.

Oscillators include popular technical analysis tools like the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and the Stochastic Oscillator. They are typically used in conjunction with other indicators to maximize the effectiveness of trading decisions. It’s important to note that, while useful, oscillators are not foolproof and should not be used as the only indicator when making trading decisions.

Jump to ...