What you will learn
- What a timeframe is
- How one daily candle hides six 4-hour candles inside it
- Why the same move looks different on the 15m, 1H, 4H and daily charts
- Top-down analysis in 3 steps: daily for direction, 4H for structure, 15m for entry
- A full real Bitcoin example with entry, stop-loss and target
- A backtest and 3 mistakes beginners make
Same Bitcoin, two different answers
At the same moment, the 15-minute Bitcoin chart can show price rising while the 1-hour chart shows it falling. Both are telling the truth, each about its own timeframe. If you do not know which chart you are reading, you end up following the wrong one.
What is a timeframe?
A timeframe is simply how much time one candle covers. On a 15-minute chart every candle is 15 minutes, on a 1-hour chart it is one hour, on a 4-hour chart four hours, and on the daily chart one candle is a whole day. The price data is the same. Only the zoom changes: a small timeframe is a microscope, a big timeframe is a satellite.
Inside one daily candle
One daily candle is made of six 4-hour candles. A plain red daily candle can hide a sharp rally and a bigger sell-off inside it, which you only see when you zoom in.
Top-down analysis in 3 steps
- Daily chart: decide the direction and mark the big zones, such as the range and the main support.
- 4H chart: read the market structure. In the lesson this is where the Change of Character from Episode 4 shows up.
- 15-minute chart: look for the actual entry, only in the direction the bigger charts agree on.
Working from the big timeframe down to the small one keeps you from taking a trade that looks good on 15 minutes but runs straight into a daily level.
Planning the trade
The lesson finishes the top-down example with a full plan on the real Bitcoin chart: entry on the 15-minute chart, stop-loss beyond the level that would prove the idea wrong, and a target at the next zone from the higher timeframe. It then checks the method with a backtest and covers 3 common beginner mistakes.
This lesson is for education only and is not financial advice. Trading is risky and you can lose money. Every example uses past market data and does not predict future results.