Direct answer
A “worked example of timeframes” is a fully spelled-out scenario that shows how the same underlying price movement is summarized differently when you change the chart period (for example, 15 minutes vs 1 hour). It focuses on the mechanics of converting time into chart bars, then demonstrates how those different bars change what you measure or calculate. The key is that you must state every assumption (what candles represent, which timestamps you use, and how you count bars), and you must treat any conclusion as conditional on those assumptions.
Mechanics: what timeframes do
In forex charts, a timeframe is the length of time represented by one candle (or bar). A 15-minute timeframe means one candle summarizes price action occurring during a 15-minute window. A 1-hour timeframe summarizes the same idea, but each candle covers 60 minutes.
Two stable mechanics follow from this definition:
- Aggregation: The chart combines many smaller moments into fewer bars when you move to a higher timeframe, or into more bars when you move to a lower timeframe.
- Counting and measurement depend on bar boundaries: If you measure things like “how many candles” a move takes, or “what high/low occurred within a candle,” the timeframe directly changes the answer because the candle boundaries shift.
Indicators or rules that use bar counts (for example, “last N candles”) also change when timeframe changes, because N refers to a different amount of time.
Evidence / worked scenario with transparent assumptions
Assumptions (state explicitly)
- We do not use live market data.
- Consider a hypothetical price path during a 2-hour window.
- We use two chart timeframes: 15-minute and 1-hour.
- Each candle has a clear start/end time, and high/low are taken from within that candle’s time window.
Hypothetical price path
Assume the following within the 2 hours:
- From 00:00–00:15, price rises from 1.1000 to 1.1010.
- From 00:15–00:30, price falls from 1.1010 to 1.0995.
- From 00:30–00:45, price rises to 1.1020.
- From 00:45–01:00, price falls to 1.1005.
- From 01:00–01:15, price rises to 1.1030.
- From 01:15–01:30, price falls to 1.1015.
- From 01:30–01:45, price is flat around 1.1018.
- From 01:45–02:00, price rises to 1.1040.
What you would see on 15-minute candles
There are 8 fifteen-minute candles. Each candle can have its own high/low extremes. For example, a 15-minute candle in the 00:30–00:45 window reaches 1.1020, and the 01:45–02:00 window reaches 1.1040.
If you measure “the highest high in the 2-hour window,” you will still find 1.1040 on both timeframes, because it exists somewhere inside the 2-hour period.
What you would see on 1-hour candles
Now each candle covers 60 minutes. Over the same 2 hours you have 2 candles:
- 00:00–01:00 (1-hour candle): it includes all highs/lows from 00:00–00:15 through 00:45–01:00. The candle’s high would be the maximum of those inner highs (here, 1.1020), and the low would be the minimum (here, 1.0995).
- 01:00–02:00 (1-hour candle): it includes 01:00–01:15 through 01:45–02:00. The candle’s high would be 1.1040 and the low would be 1.1015.
The material difference
On the 15-minute chart, you can point to multiple intermediate peaks and dips (for example, the separate highs at 1.1020 and 1.1030). On the 1-hour chart, those intermediate swings are still “inside” the candles but are no longer separate bars. Therefore, a rule based on detecting or counting intermediate structure will behave differently.
That is what a worked example of timeframes demonstrates: the same underlying movement can lead to different bar sequences, bar highs/lows, and counts, purely because of how time is grouped into candles.
Limitations and risks (including failure modes)
- **Timeframe changes can change what you think you’re measuring. ** A statement like “X candles formed” is not comparable across timeframes unless you convert it back to time. 2) **Historical aggregation can mislead.