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Technical Analysis Basics — Charts, Patterns, and Indicators for Indian Markets

Technical analysis uses historical price and volume data to forecast price direction. The honest assessment: technical analysis has weak predictive power for retail in Indian markets, but provides useful execution discipline.

17 May 2026

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Technical analysis (TA) is the practice of using historical price and volume data — primarily through charts and statistical indicators — to forecast future price direction. Unlike fundamental analysis (which asks "what is this business worth?"), TA asks "where is this price likely going next?" Indian retail traders consume vast amounts of TA content through YouTube, Telegram, and broker platforms — but the honest empirical assessment is that TA has weak predictive power for retail traders in modern Indian markets. Multiple independent studies show that technical patterns identified retrospectively have statistical significance dropping to near-zero when tested with out-of-sample data and transaction costs included. However, TA remains useful for execution discipline: providing structured entry/exit rules, defining stop-loss levels, sizing positions based on volatility, and organising decision-making rather than acting on impulse. The frameworks covered here — support and resistance, moving averages, candlestick patterns, RSI, volume analysis — are widely used and worth understanding even for those skeptical of predictive value. Freedomwise's Stock Portfolio XIRR calculator measures actual outcomes; most retail traders using TA exclusively underperform passive index strategies. Use TA as a framework for discipline, not as a forecasting tool.

What are the core concepts of technical analysis?

Six foundational concepts that all TA builds on:

  1. Price reflects information. All known information is already in the price; analysing price patterns directly bypasses fundamental analysis.

  2. Prices move in trends. Markets exhibit uptrends, downtrends, and sideways movements. TA aims to identify the trend and trade with it.

  3. History repeats (statistically). Certain price patterns are claimed to have predictive value because of recurring human behaviour patterns. This claim is the most contested in academic finance.

  4. Volume confirms price. Strong price moves accompanied by high volume are more reliable signals than the same moves on low volume.

  5. Support and resistance. Prices tend to pause or reverse at levels where significant buying (support) or selling (resistance) has occurred historically.

  6. Multiple timeframes matter. A signal on a daily chart may conflict with the weekly chart. Most professional TA analysts examine multiple timeframes before making decisions.

What are support and resistance levels?

Support: A price level where buying pressure has historically been strong enough to prevent further decline. Buyers see value here.

Resistance: A price level where selling pressure has historically been strong enough to prevent further rise. Sellers take profits or cut losses here.

Worked example: Reliance Industries

  • Stock has bounced from ₹2,400 three times over past 18 months
  • ₹2,400 = support level
  • Stock has been rejected from ₹2,750 twice over same period
  • ₹2,750 = resistance level
  • Trading approach: buy on tests of ₹2,400 with stop below ₹2,360; sell on tests of ₹2,750

When a stock breaks through major resistance with strong volume, it often (but not always) becomes new support — and vice versa. This concept is called "polarity."

The honest empirical reality: support and resistance levels do tend to produce slightly above-random pause/reversal behaviour — but the edge is often consumed by transaction costs for retail traders.

What are moving averages and how do you use them?

Moving averages (MA) smooth price data to identify trends:

MA TypePeriodUse Case
20-day MAShort-termDay/swing traders
50-day MAMedium-termSwing/position traders
100-day MAMedium-long termPosition traders
200-day MALong-termMajor trend identification

Common signals:

  • Golden Cross: 50-day MA crosses above 200-day MA — bullish long-term signal
  • Death Cross: 50-day MA crosses below 200-day MA — bearish long-term signal
  • Price above 200-day MA: Stock in long-term uptrend
  • Price below 200-day MA: Stock in long-term downtrend

Most professional fund managers ignore daily price relative to short-term MAs — these are noisy. The 200-day MA is more meaningful as a structural trend indicator.

What are candlestick patterns?

Candlesticks visualise each period's open, high, low, and close. Each candle is a "body" (open to close) with "wicks" (high and low extensions). Combinations of candles form patterns that traders interpret as continuation or reversal signals.

PatternTypical interpretationReliability (retail context)
DojiIndecisionModerate; often noise
HammerBullish reversal after downtrendModest; better with volume confirmation
Shooting StarBearish reversal after uptrendModest; better with volume
EngulfingTrend reversalStronger than single candles
Three White SoldiersStrong bullish trendGood when at support
Three Black CrowsStrong bearish trendGood when at resistance

Honest assessment: candlestick patterns provide a structured language for thinking about price action but have inconsistent empirical predictive power. They are most useful when combined with support/resistance and volume context, not used in isolation.

What is RSI and how is it used?

The Relative Strength Index (RSI) is a momentum oscillator that compares the magnitude of recent gains to recent losses, on a scale of 0 to 100:

  • RSI > 70: Stock is considered "overbought" — possible reversal candidate
  • RSI < 30: Stock is considered "oversold" — possible reversal candidate
  • RSI 40-60: Neutral range

Common trading rules:

  • Buy when RSI crosses above 30 (exiting oversold)
  • Sell when RSI crosses below 70 (exiting overbought)
  • RSI divergence: price makes new high but RSI doesn't → potential weakness

The pitfall: RSI can stay above 70 (or below 30) for extended periods in strong trends. Using RSI to predict reversals in strong trends loses money repeatedly. RSI works better in range-bound markets than in strongly trending ones.

What is volume analysis?

Volume is the number of shares traded during a period. Volume is considered confirmation for price moves:

  • Price up + high volume: Strong uptrend continuation
  • Price up + low volume: Weak rally; may not sustain
  • Price down + high volume: Strong downtrend continuation; possible capitulation
  • Price down + low volume: Weak decline; potential reversal

Volume-based indicators:

  • OBV (On-Balance Volume): Cumulative volume; rising OBV with rising price = healthy trend
  • Volume Profile: Distribution of volume at different price levels; reveals areas of significant trading

Volume is one of the more empirically supported components of TA. Price moves accompanied by abnormal volume are more reliable than moves on average volume.

How should I use technical analysis if I trade?

If you choose to use TA, five disciplined practices:

  1. Combine with fundamental analysis. Use fundamentals to choose what to buy; use TA to time entry and exit. Pure TA in stocks with poor fundamentals is high-risk.

  2. Use multiple timeframes. A daily chart signal that conflicts with weekly chart trend should reduce confidence in the trade.

  3. Require multiple confirmations. A single indicator signal is weak; 2-3 indicators agreeing (e.g., support level + RSI oversold + bullish candlestick + above-average volume) is stronger.

  4. Quantify your stop-loss with TA. Place stop-loss below clear support level, not at arbitrary percentage. This aligns your risk management with market structure.

  5. Backtest before trading live. If you have a strategy based on TA, backtest it on 5+ years of historical data. Many retail strategies that "look profitable" in cherry-picked recent periods fail when tested objectively.

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