Lakshya

Technical Analysis · Chapter 2 of 12

Reading a chart: price, time and the candle

Four numbers per bar, and every decision you make about how to display them changes what you will conclude.

6 min read1 diagramAll 12 chapters

Before any indicator, you need to be precise about what a chart actually is, because several quiet choices are baked into it and each one changes the analysis.

ONE CANDLE = FOUR NUMBERS AND A DIRECTION. THAT IS ALL IT IS. high — the highest price traded close — the last price (bullish: above open) open — the first price of the period low — the lowest price traded body = |close − open| bearish — close below open the colour convention is arbitrary; the sign of (close − open) is not upper wick = high − max(open, close) lower wick = min(open, close) − low EVERY PATTERN RULE YOU WILL EVER READ REDUCES TO THIS ONE RATIO NORMAL body ≥ 80% of range conviction — one side ran the period NEUTRAL body < 80% of range indecision — the star's middle candle DOJI body < 5% of range open ≈ close. Not a signal on its own A long wick means price went there and was rejected. That is genuine information. It is also the single most over-interpreted mark onany chart.
One candle, and the ratio that every pattern rule reduces to. The body-to-range ratio is the only quantity most candlestick definitions actually depend on — which is useful, because it means the definitions can be made mechanical and therefore testable.

The four numbers, and what each one means

  • Open — the first traded price of the period. In markets with an opening auction, this is an auction price and can be far from the previous close.
  • High and low — the extremes. Note that these are traded prices, so a single small trade at an extreme creates a wick identical to one produced by enormous volume. This is why a wick alone tells you very little.
  • Close — the last traded price, or in most markets the closing auction price. The close is the most information-dense of the four, because it is where the market settled after the day's argument, and it is the price against which most participants are benchmarked. This is why so many rules are written on closes rather than on intrabar prices, and why a rule that triggers intrabar is a different rule from one that triggers on a close.

Timeframe is a choice with consequences

The same instrument on a 5-minute chart, a daily chart and a weekly chart tells three different stories, and none of them is more true than the others. What actually changes:

TimeframeSignal-to-noiseNumber of opportunitiesWhat dominates
1–5 minutePoorVery highMicrostructure, spread, and your own costs
15 minute – 1 hourModerateHighIntraday flow, session effects, news
DailyGoodModerateGenuine supply and demand, and most published research
Weekly / monthlyBestLowMacro trend. Very few signals, very little noise

The relationship that matters: as you go shorter, the ratio of your trading costs to the size of the move you are trying to capture gets worse, and it gets worse faster than the number of opportunities improves. This single fact kills most retail intraday strategies, and it is arithmetic rather than opinion. A 5-minute strategy capturing 0.15% per trade against a 0.05% round-trip cost has given away a third of its gross edge before it starts.

The multi-timeframe habit, and how to do it without fooling yourself

The useful discipline is: a higher timeframe sets the context and permission, a lower timeframe sets the timing. Decide direction on the daily; find an entry on the 15-minute. This is what almost every professional discretionary framework does, including the Smart Money approach in chapter 10.

The failure mode is timeframe shopping: if the daily disagrees with your idea, drop to the hourly; if that disagrees, drop to the 15-minute. There is always a timeframe that agrees with you.

The defence is to fix the timeframes in advance and write them down. ‘I take longs only when the daily structure is up, and I time them on the 15-minute’ is a rule. ‘I look at multiple timeframes’ is not.

Chart types, and when the default is wrong

  • Candlestick — the default, and the right one for almost everything, because it shows all four numbers and the relationship between open and close.
  • Line on close — underrated. Removes wick noise entirely and makes structure much easier to see. If you are unsure whether a trend is real, look at the close line; a great deal of apparent complexity disappears.
  • Heikin-Ashi — averages the candles so trends look cleaner. Useful for the eye and dangerous for rules, because the displayed open, high, low and close are not prices you can trade at. A backtest that enters at a Heikin-Ashi open is entering at a price that never existed. This mistake is extremely common.
  • Renko and point-and-figure — remove time entirely and plot only price movement. Genuinely useful for seeing structure; the same caution applies about backtesting on synthetic bars.
  • Log versus linear scale — on any multi-year chart, use log. A trendline drawn on a linear scale over ten years is meaningless because equal vertical distances represent wildly different percentage moves. This is one of the most common errors in published long-term analysis.

The adjustments hiding in your data

Two silent data issues change what you are looking at, and both were covered in the market data chapter of the previous book because they matter even more there:

  • Corporate-action adjustment. A split- or bonus-adjusted series rewrites history. It is correct for computing returns and wrong for identifying the price levels people actually traded at — a support level at ₹1,000 pre-split appears at ₹500 on an adjusted chart, where no one ever defended it.
  • Futures continuation. A continuous futures chart stitches successive contracts together, and the stitch point has a discontinuity. Back-adjusted series remove the jump by shifting all history — which means old prices on the chart are not prices that ever traded, and can even go negative on some long crude oil series. For structure this is usually acceptable; for anything level-based it is not.

Check yourself

Why do most rules trigger on the close?It is the settled price after the period's activity, it is what most participants are benchmarked to, and it is unambiguous. An intrabar trigger is a genuinely different rule with a different fill assumption.
What is wrong with backtesting on Heikin-Ashi bars?Their OHLC values are computed averages, not traded prices. You cannot get filled at them, so any result is fictional.
How do you use multiple timeframes without cheating?Fix them in advance and write the rule down: higher timeframe for permission, lower for timing. Otherwise you will always find a timeframe that agrees with you.
Why use a log scale on long-term charts?Because equal vertical distance should mean equal percentage change. On a linear scale a decade-long trendline is a visual artefact.
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