BITCOIN MOVING AVERAGES INDICATORS

What are moving average indicators?

Moving averages reduce short-term detail so a price path is easier to see. Simple averages weight every close equally; exponential and weighted averages favor particular observations; adaptive versions change their response with the recent pattern.

How should I use them together?

A period counts candles. A 200-period hourly average is not a 200-day average. Changing the interval changes the time span even when the period number stays the same.

Why does one chart sit in two groups?

5 of these 5 charts also sit in another group, because one formula can answer more than one question.

Choosing between Bitcoin moving average indicators

A moving average smooths earlier prices according to a defined weighting rule. The period tells you how many candles enter its settings, but the weights and initialization determine how it responds. A 20-period simple average, exponential average and Hull average can differ even when every one receives identical candles.

Equal weights versus fading memory

A simple average gives each close in its window equal weight and drops the oldest one completely. An exponential average updates its previous result, retaining a fading influence from older closes. An old extreme leaving the simple window can move that average even when the newest close changes little. Simple Moving AverageExponential Moving Average

Weighting recency versus weighting trading

The standard weighted average emphasizes more recent observations. A volume-weighted moving average emphasizes candles with more Bitcoin traded. Rolling candle-based VWAP also uses volume, but weights typical high-low-close prices rather than closes alone. Compare the price input as well as the volume and period. Weighted Moving AverageVWAP

A fixed response versus a changing response

An exponential average has a fixed update weight for its chosen period. KAMA changes its weight with the efficiency of recent price movement, while MAMA uses a phase-based adaptive process. The adaptive family does not have a universally equivalent simple period. Its sensitivity changes with the observed path. Exponential Moving AverageAdaptive Moving Average

Before comparing the readings

A crossing records a comparison, not a forecast. In a sideways range, price can cross the same average repeatedly. A 200-candle hourly average represents about eight days of candles; a 200-day average represents 200 days. Change the interval deliberately and disclose it when sharing a reading.

Where do the numbers come from?

Maketo reads one combined Bitcoin spot market and calculates every formula itself, on completed candles. The candle boundaries, the defaults and the rules behind each dial are written out in the methodology.