Before any analysis, two decisions shape everything you will see: what kind of chart you look at, and over what period each bar is measured. Both are usually made by accident, on whatever the app defaulted to.
Three ways to draw the same data
| Chart type | What it shows | Best for |
|---|---|---|
| Line | Closing prices joined up | Seeing the overall shape without distraction; comparing several stocks at once |
| Bar (OHLC) | Open, high, low, close as a vertical bar with two ticks | Dense data on long histories — favoured in Western institutional charting |
| Candlestick | The same four prices, with a coloured body between open and close | Almost everything. The body/wick shape makes the balance of buying and selling instantly visible |
Linear versus logarithmic scale
This choice sounds technical and matters enormously on long histories. On a linear scale, equal vertical distance means equal rupees. On a logarithmic scale, equal vertical distance means equal percentage.
Consider a stock that went from ₹10 to ₹100 and later from ₹1,000 to ₹1,090. On a linear chart the second move looks identical to the first — both are ₹90. But the first was a 900% gain and the second was 9%. On a log chart the first move dwarfs the second, which is the truth.
Timeframe: the decision that determines everything else
The same stock, on the same day, is simultaneously in an uptrend on the monthly chart, a downtrend on the daily, and going sideways on the 15-minute. None of these is wrong. They are answers to different questions.
| Timeframe | Typical holding period | Suits | The honest cost |
|---|---|---|---|
| 1–15 minute | Minutes to hours | Full-time intraday traders | Costs and randomness dominate; you must be at the screen; the vast majority lose |
| 1 hour | A day or two | Active traders with flexible time | Still noisy; overnight gap risk if held |
| Daily | Days to weeks | Swing traders — the practical choice for most people with jobs | Requires patience through multi-day drawdowns |
| Weekly | Weeks to months | Positional traders and investors timing entries | Signals are rare; you will feel like you are missing out |
| Monthly | Years | Long-term investors checking structure | Almost no signals; purely for context |
The rule of three
Experienced traders typically use three timeframes and assign each a distinct job. Roughly a 4–6× step between them works well.
- The higher timeframe sets direction. If you trade the daily chart, the weekly tells you whether you should be looking for longs or shorts at all.
- The trading timeframe sets the signal. This is where your pattern or setup must appear and where your stop is defined.
- The lower timeframe refines the entry. Optional. Used only to get a slightly better price, never to change the decision.
A stock rose from ₹50 to ₹500 in 2015–2020, then ₹500 to ₹950 in 2020–2025. On which scale does the chart correctly show the first period as the bigger move?
Google Map pe zoom karoge toh har gali dikhegi par yeh nahi pata chalega ki aap kis sheher mein ho. Zoom out karoge toh sheher dikhega par gali nahi. Chart ka timeframe wahi hai — 5-minute pe shor zyada hai, weekly pe kahani. Dono chahiye, par pehle yeh tay karo ki jaana kahan hai.
- Candlesticks win because shape is read faster than position.
- Use logarithmic scale on anything longer than two years, always.
- A stock is in different trends on different timeframes simultaneously — all valid.
- Choose your timeframe before entering, and take the exit from that same timeframe.
- Higher timeframe for direction, trading timeframe for the signal, lower only to refine entry.
Mark it done to track your progress through the curriculum.
Common questions
Short, direct answers to what people ask about this topic.
- difference between linear and logarithmic scale on a stock chart
- On a linear scale an equal vertical distance means an equal number of rupees; on a logarithmic scale it means an equal percentage. A stock going from ₹10 to ₹100 and later from ₹1,000 to ₹1,090 draws two identical ₹90 rises on a linear chart, even though the first was a 900% gain and the second was 9%. Only the log chart shows that difference.
- on a logarithmic price scale equal vertical distance represents
- An equal percentage change, not an equal rupee change. That is why a log-scaled twenty-year SENSEX chart shows the early crashes as the large events they were, while the same data on a linear scale flattens them into wiggles and makes only the most recent period look dramatic.
- when should I use a log scale on a chart
- For anything longer than roughly two years, and always for a multi-decade chart. Over short windows the two scales look nearly identical, so it rarely matters; over long ones a linear scale actively distorts the history and will bend a multi-year trendline away from price for purely arithmetic reasons.
- which chart timeframe suits someone with a full-time job
- The daily chart is the conventional choice for holding periods of days to weeks, because a daily signal is only knowable after the market closes and can be acted on the next morning. Shorter intervals demand that you sit at the screen while costs and randomness dominate; weekly and monthly charts produce very few signals and are mainly used for context.
- what is timeframe drift in trading
- Timeframe drift is entering on a signal from one chart and then switching to a slower chart to justify holding when the trade goes against you — buying on the 15-minute, then consulting the weekly to avoid taking the loss. It converts a small planned loss into a large unplanned one. The defence is to fix the timeframe before entry and take the exit from that same timeframe.