Technical Analysis
Technical Analysis is the study of historical price and volume patterns to forecast future market movements. It is a core component of the NISM Series XV exam, testing your ability to interpret charts, apply indicators, and make investment decisions. This sub‑topic links directly to the broader Fundamentals of Research module, helping analysts blend quantitative tools with market sentiment.
Learning Objectives
- 1Define technical analysis and differentiate it from fundamental analysis.
- 2Identify and interpret key chart patterns, trends, and support/resistance levels.
- 3Calculate and apply moving averages, RSI, and MACD using standard formulas.
- 4Recognise common exam traps and apply technical tools in Indian market contexts.
What is Technical Analysis?
Technical analysis examines past price movements, trading volumes and open‑interest to predict future price direction. It assumes that all known information—fundamentals, news, investor sentiment—is already reflected in the market price, making the price itself the primary data source.
In the Indian securities market, analysts use technical tools on equities listed on BSE and NSE, as well as on mutual fund NAVs and derivatives. SEBI permits the use of technical analysis for research reports, provided the analyst discloses the methodology and limitations.
For the NISM exam, you must know the definitions, the standard formulas for popular indicators, and how to interpret them in a short‑answer or case‑study question. Typical traps include mixing up the period of calculation or mis‑reading a chart pattern.
- Technical analysis is forward‑looking, while fundamental analysis is backward‑looking.
- Charts are the visual language; indicators are the quantitative language.
Students often describe a company’s earnings growth as a technical signal. Remember: technical analysis ignores earnings; it focuses solely on price and volume patterns.
Key Concepts: Trend, Support & Resistance
A trend is the general direction in which a security’s price moves over a period. Trends are classified as uptrend (higher highs and higher lows), downtrend (lower lows and lower highs), or sideways (range‑bound). Recognising the trend helps analysts align their recommendations with market momentum.
Support is a price level where buying pressure historically outweighs selling pressure, causing the price to bounce upward. Conversely, resistance is a level where selling pressure dominates, pushing the price down. These levels act as psychological barriers and are often derived from prior lows and highs.
In the exam, you may be asked to identify support/resistance on a given chart or to explain why a breakout above resistance could signal a buying opportunity. Common mistakes include treating a single candle spike as a true resistance level without confirming with multiple touches.
Chart Types Used in Technical Analysis
The three most common chart formats in Indian markets are line, bar, and candlestick charts. Line charts connect closing prices, offering a clean view of overall direction but hiding intraday volatility.
Bar charts display open, high, low, and close (OHLC) for each period, giving a fuller picture of price action. Candlestick charts, popular among Indian traders, colour‑code the relationship between open and close to quickly convey bullish or bearish sentiment.
Exam questions may present a candlestick pattern and ask you to name it (e.g., bullish engulfing) or to infer the likely next move. Remember that pattern reliability improves when the formation occurs near support or resistance.
Comparison of Common Chart Types
| Chart Type | Visual Representation | Best Used For |
|---|---|---|
| Line | Connects closing prices only | Identifying long‑term trend direction |
| Bar | Shows OHLC with vertical line and horizontal ticks | Analyzing price range and volatility |
| Candlestick | Colour‑coded body with wicks | Spotting short‑term reversal patterns |
Moving Averages
Moving averages smooth out price fluctuations by averaging past prices over a defined period. The most widely used are the Simple Moving Average (SMA) and the Exponential Moving Average (EMA). They help identify trend direction and potential support or resistance zones.
An SMA gives equal weight to each price in the look‑back window, making it slower to react to recent price changes. EMA applies a higher weight to the latest price, providing a quicker response to market shifts.
In NISM questions, you may need to compute a 10‑day SMA or interpret a "golden cross" (short‑term SMA crossing above long‑term SMA) as a bullish signal. A common error is forgetting to update the SMA window after each new price.
Where:
P_{i}= Closing price of the security on day i (₹)n= Number of periods (days) in the moving averageWorked Example
Given a 5‑day SMA with closing prices 100, 102, 101, 103, 104: Step 1: Sum = 100 + 102 + 101 + 103 + 104 = 510 Step 2: SMA = 510 / 5 = 102 Verification: (100+102+101+103+104) / 5 = 102.
Where:
EMA_{today}= EMA value for the current period (₹)P_{today}= Closing price today (₹)\alpha= Smoothing factor = 2/(n+1)EMA_{yesterday}= EMA value of the previous period (₹)Worked Example
For a 3‑day EMA, \alpha = 2/(3+1) = 0.5. If EMA_{yesterday}=101 and P_{today}=104: Step 1: EMA_{today} = 104 × 0.5 + 101 × 0.5 = 52 + 50.5 = 102.5 Verification: 104*0.5 + 101*0.5 = 102.5.
Momentum Indicator – Relative Strength Index (RSI)
The Relative Strength Index (RSI) measures the speed and change of price movements on a scale of 0 to 100. It compares the magnitude of recent gains to recent losses over a chosen period, typically 14 days.
An RSI above 70 suggests the security may be overbought (potential reversal down), while an RSI below 30 indicates oversold conditions (potential reversal up). Analysts use RSI to confirm trends or spot divergences.
Exam scenarios often give average gain and loss values and ask you to compute the RSI. A frequent mistake is swapping the numerator and denominator in the RS calculation, which flips the result.
Where:
RS= Relative Strength = \frac{\text{Average Gain}}{\text{Average Loss}}Average Gain= Mean of all positive price changes over the period (₹)Average Loss= Mean of absolute values of all negative price changes over the period (₹)Worked Example
Given a 14‑day period with Average Gain = 0.8 and Average Loss = 0.2: Step 1: RS = 0.8 / 0.2 = 4 Step 2: RSI = 100 - (100 / (1 + 4)) = 100 - (100 / 5) = 100 - 20 = 80 Verification: 100 - 100/(1+4) = 80.
Oscillator – Moving Average Convergence Divergence (MACD)
The MACD is a trend‑following momentum oscillator that shows the relationship between two EMAs, typically 12‑day (fast) and 26‑day (slow). The MACD line is the difference between these EMAs, and a 9‑day EMA of the MACD line acts as a signal line.
A bullish signal occurs when the MACD line crosses above the signal line ("MACD golden cross"); a bearish signal appears when it crosses below ("MACD death cross"). The histogram (difference between MACD and signal) visualises the strength of the crossover.
In NISM questions, you may be given EMA values and asked to compute the MACD, or to interpret a crossover on a chart. Remember that MACD is lagging; it confirms trends rather than predicts them.
Where:
EMA_{fast}= Fast EMA (e.g., 12‑day) of closing price (₹)EMA_{slow}= Slow EMA (e.g., 26‑day) of closing price (₹)Worked Example
If EMA_{fast}=105 and EMA_{slow}=100: Step 1: MACD = 105 - 100 = 5 Verification: 105 - 100 = 5.
Volume and On‑Balance Volume (OBV)
Volume reflects the number of shares traded and is a key confirmation tool for price moves. Rising price with increasing volume strengthens the bullish case, while rising price on falling volume may signal a weak move.
On‑Balance Volume (OBV) cumulates volume by adding it on up‑days and subtracting it on down‑days. A rising OBV line suggests accumulation, whereas a falling OBV indicates distribution.
Exam questions may present a brief volume table and ask you to infer whether a breakout is supported. A typical mistake is to ignore the direction of price change when updating OBV.
Relying solely on a single indicator (e.g., RSI) can lead to false signals. Combine multiple tools—trend, support/resistance, and volume—to increase reliability.
Sample Price and 5‑Day SMA
Scenario
An Indian retail investor tracks XYZ Ltd. The 10‑day SMA is currently 950 ₹ and the 30‑day SMA is 945 ₹. The latest closing price is 960 ₹. The investor wonders whether to buy.
Solution
Step 1: Since the 10‑day SMA (short‑term) is above the 30‑day SMA (long‑term), a "golden cross" has occurred, indicating bullish momentum. Step 2: The price (960 ₹) is also above both SMAs, confirming strength. Step 3: Check volume – the past three days show increasing volume, supporting the move. Step 4: Combine with RSI (assume RSI = 68, below overbought level) to ensure the rally is not exhausted. Therefore, the analyst can recommend a buy, citing the SMA crossover, price above SMAs, and supportive volume.
Conclusion
The scenario demonstrates how multiple technical tools are integrated for a concise recommendation, a typical NISM case‑study format.
⭐Exam Takeaways
- Technical analysis relies on price and volume; it assumes all information is already priced in.
- Trend, support, and resistance are foundational concepts; identify them before applying indicators.
- SMA = (Σ P_i) / n gives equal weight to each period, while EMA gives more weight to recent prices.
- RSI = 100 - 100/(1+RS) where RS = Average Gain ÷ Average Loss; over‑bought >70, oversold <30.
- MACD = EMA_fast - EMA_slow; bullish when MACD crosses above its signal line.
- Volume confirms price moves; rising OBV indicates accumulation, falling OBV indicates distribution.
- Never rely on a single indicator; combine trend, price, volume, and momentum for robust analysis.
- In Indian market questions, remember SEBI permits technical analysis but requires clear methodology disclosure.
Practice Questions
8 questions on Technical Analysis
Technical analysis primarily relies on which of the following data sources?
Which chart type is best suited for identifying the long‑term direction of a security’s price?
Given the closing prices 100, 102, 101, 103, 104 for five consecutive days, what is the 5‑day Simple Moving Average (SMA)?
For a 3‑day EMA, the smoothing factor α is 0.5. If yesterday’s EMA was 101 and today’s closing price is 104, what is today’s EMA?
A 14‑day period shows an Average Gain of 0.8 and an Average Loss of 0.2. What is the Relative Strength Index (RSI) value?
If the fast EMA (12‑day) is 105 and the slow EMA (26‑day) is 100, and the MACD signal line is at 4, what does the MACD indicate?
A price level where buying pressure historically outweighs selling pressure, causing the price to bounce upward, is called:
Which of the following is NOT considered a technical analysis signal?