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Introduction to Technical Analysis

What technical analysis is, its core assumptions, how OHLC data summarizes trading action, and setting realistic expectations.

01

What Is Technical Analysis?

Technical Analysis (TA) is the study of price action and trading volume to identify patterns that suggest where a stock might move next. Unlike fundamental analysis, which digs into balance sheets and earnings reports, TA focuses entirely on what the chart is telling you right now.

Think of it this way: watching a cricket match live versus reading the scorecard the next morning. The scorecard (fundamental analysis) tells you who won and the final stats. But watching the match live (technical analysis) lets you see momentum shifts, the body language of batsmen, and when the bowling attack is tiring. You can anticipate the next over before it is bowled.

Consider RELIANCE on the NSE. In early 2023, the quarterly results were yet to be announced, and most fundamental analysts were still cautious. But a technical trader looking at the daily chart would have noticed a series of higher lows forming over several weeks, with volume gradually picking up on green candles. The chart was signalling bullish momentum well before the earnings beat was public knowledge. By the time the fundamentals caught up, the price had already moved significantly.

Tip
TA does not predict the future with certainty. It gives you a framework to make high-probability bets based on historical price behaviour and current market structure.
02

TA vs Fundamental Analysis

Both approaches aim to help you make better trading and investing decisions, but they look at completely different data. Here is a side-by-side comparison:

AspectTechnical AnalysisFundamental Analysis
Primary dataPrice charts, volume, indicatorsFinancial statements, ratios, earnings
Time horizonShort to medium term (days to weeks)Medium to long term (months to years)
GoalTiming entries and exitsDiscovering intrinsic value
Key question"When should I buy or sell?""What is this stock truly worth?"
Tools usedCandlesticks, moving averages, RSIPE ratio, ROE, debt-to-equity
Best suited forActive traders, swing tradersLong-term investors, value investors
Note
The best traders often combine both approaches. A fundamental analyst might identify that HDFCBANK is undervalued, and then use TA to time the exact entry at a support level rather than buying blindly. The two methods complement each other when used together.
03

Core Assumptions of TA

Technical analysis rests on four foundational assumptions. If you accept these, the entire framework of chart reading and pattern recognition becomes logical.

1. Markets Discount Everything

Every piece of information — earnings reports, government policies, global events, insider sentiment — is already reflected in the stock price. When RBI announces a rate cut, the impact on banking stocks like SBIN and ICICIBANK is priced in almost instantly. TA assumes the current price is the most accurate representation of all known information.

2. The "How" Matters More Than the "Why"

A technical trader does not need to know why TCS rallied 5% in a single session. What matters is how it rallied — was it on heavy volume or thin volume? Did it break above a key resistance level? Did it close near the high of the day? The mechanics of the price move tell you more about likely future direction than the news headline.

3. Price Moves in Trends

Stocks do not move randomly. They tend to move in sustained directions — uptrends, downtrends, or sideways ranges. Once TATAMOTORS enters a strong uptrend after breaking out of a consolidation zone, it is more likely to continue rising than to reverse abruptly. TA helps you identify the trend and trade in its direction.

4. History Repeats Itself

Human psychology does not change. Fear and greed drive the same patterns today that they drove decades ago. When INFY dropped sharply in April 2019 after disappointing guidance, the chart formed a pattern strikingly similar to its reaction after weak guidance in 2017. Traders who recognized the pattern could anticipate the subsequent recovery.

Tip
These assumptions are not absolute truths — they are working principles. Accept them as a framework, and then validate them with your own observations on live charts.
04

The OHLC Data

Every candle on a price chart is built from four data points, collectively called OHLC — Open, High, Low, and Close. Understanding what each number reveals is the first step to reading any chart.

  • Open: The first traded price when the market session begins. It reflects overnight sentiment and pre-market order flow.
  • High: The maximum price reached during the session. This is where the buying pressure peaked before sellers stepped in.
  • Low: The minimum price reached during the session. This is where selling pressure exhausted and buyers found the price attractive.
  • Close: The last traded price when the session ends. Widely considered the most important data point because it represents the final consensus of the day.

Here is a sample of five trading sessions for INFY to illustrate how OHLC data looks in practice:

DateOpen (Rs.)High (Rs.)Low (Rs.)Close (Rs.)Observation
Mon1,5801,6121,5751,605Strong close near high — buyers dominated
Tue1,6081,6251,6001,618Continued buying, higher lows forming
Wed1,6201,6301,5901,598Wide range, close near low — sellers appeared
Thu1,5951,6101,5821,607Recovery from low — buyers defended support
Fri1,6101,6381,6071,635Close near high with tight low — strong day
Note
Pay close attention to where the close sits relative to the high and low. A close near the high signals bullish sentiment; a close near the low signals bearish sentiment. This single observation forms the basis of candlestick analysis, which we will explore in the next chapter.
05

Setting Realistic Expectations

Before you dive deeper into charts and indicators, it is important to calibrate your expectations. Technical analysis is a probability tool, not a crystal ball. Here is what a realistic TA-based trading practice looks like:

ParameterRealistic Range
Holding period per trade2 - 15 trading sessions (swing trading)
Expected return per trade3 - 8 % on capital deployed
Win rate55 - 65 % of trades profitable
Risk per trade1 - 2 % of total capital
Annual return (active trading)18 - 35 % (varies with skill and market)
  • TA works best for short-to-medium-term trades. For long-term investing (years), fundamental analysis is more appropriate.
  • No indicator or pattern works 100% of the time. You will have losing trades — the goal is to ensure your winners are larger than your losers.
  • Cutting losses quickly is more important than picking winners. A disciplined stoploss saves your capital for the next opportunity.
  • Paper trade (practice without real money) for at least 2 - 3 months before deploying real capital. Track your trades in a journal.
Caution
If someone promises you "guaranteed returns" or "never-fail strategies" using technical analysis, they are misleading you. TA is a skill that improves with practice, not a shortcut to guaranteed profits. Always risk only what you can afford to lose.
Key Takeaways
  • Technical analysis studies price action and volume to find high-probability trading opportunities.
  • TA and fundamental analysis serve different purposes — TA for timing, FA for valuation — and work best when combined.
  • The four core assumptions: markets discount everything, how matters more than why, prices trend, and history repeats.
  • OHLC data (Open, High, Low, Close) is the raw material of every chart — learn to read it before studying patterns.
  • Expect a 55 - 65 % win rate and focus on keeping losses small rather than chasing big wins.
  • Paper trade for at least 2 - 3 months and maintain a trading journal before risking real capital.
Disclaimer

This content is for educational purposes only. swingcapital is not a SEBI-registered advisor. Consult a qualified financial advisor before making investment decisions.