Technical analysis: what it can and cannot tell you
Technical analysis describes where orders sit, not what happens next. No indicator contains information the price does not already hold — all are derived from price and volume. Used for risk definition and identifying levels it is genuinely useful; used as a prediction engine it is close to a coin flip.
The part that is real, and the part that is not
Levels matter because orders sit there. Previous highs and lows are where people transacted before, which means they are where unfilled intentions, stop orders and psychological anchors cluster. Round numbers matter for the same reason. These levels are real in the sense that resting orders are real.
They are not real in the sense of exerting force on price. When the orders are consumed, the level does nothing. A level tested repeatedly is being weakened rather than strengthened — each test eats orders, and the third or fourth touch is far more likely to break than the first.
No indicator contains information the price does not already hold, because every one of them is calculated from price and volume. They summarise the past compactly. They do not see forward, and any claim that a pattern predicts an outcome with a given probability asserts far more than the evidence supports.
Why "oversold" does not mean buy
An oversold reading on a momentum oscillator means price fell a lot, quickly, relative to its recent range. That is a description of what already happened. The word unhelpfully implies a judgement the indicator is not making.
It fails hardest exactly when it feels most compelling. In a strong downtrend, oscillators pin at oversold and stay there for weeks — every day looks like a bargain by that reading, and every day it gets cheaper. The indicator is not broken; it is reporting what it measures. The error is expecting a description of the past to work as a prediction.
These readings are most useful inside a range, where price genuinely oscillates between boundaries, and least useful in a trend. So the first question is always which regime you are in — a trend-strength measure answers that better than the oscillator itself.
Moving averages work partly because everyone watches them
A moving average has no predictive power in itself — it is an average of past prices. What gives it practical significance is that a very large number of participants and automated systems reference the same few, particularly the 50-day and 200-day, so orders cluster around them.
That clustering is real regardless of whether the underlying idea has merit. Price reacting at a widely watched average is a statement about where orders are, not about the mathematics.
Treat a cross or a break as a prompt to look rather than an instruction to act. Averages are crossed frequently and reclaimed just as frequently; the informative version is a decisive break on strong volume, not a brief touch. And because the averages move, an alert set at today’s value drifts out of position over weeks.
Volume decides whether a move means anything
Price tells you where the last trade happened; volume tells you how many participants were involved in getting there. A breakout on heavy volume means many participants agreed to transact at those levels. The same breakout on light volume means very few did, and the level was reached because nobody was there to object.
That is why low-volume moves reverse so often — nothing was established. Price travelled through an empty book and returns when normal participation resumes.
Two crypto-specific caveats. Reported volume can be inflated, particularly on smaller venues with an incentive to appear liquid, so prefer figures aggregated across major exchanges. And normalise for the clock: crypto volume is structurally lower at weekends, so a "high volume" weekend move may be unremarkable against a weekday baseline.
Timeframes, and the disagreements they cause
The same chart tells different stories depending on the timeframe. A 5-minute chart is dominated by noise and execution. A daily chart shows genuine supply and demand. A weekly chart shows the trend that determines multi-year outcomes. None is more correct, but mixing them is how people take a long-term position and manage it on a 15-minute chart.
Match the timeframe to your holding period. If you expect to hold for years, intraday movement is not information you should act on, and watching it will mostly cost you the position.
A workable convention: use the higher timeframe to decide direction and whether to be involved at all, and the lower one only to choose an entry once that decision is made. Alerts fit this naturally — set them on levels that matter on the higher timeframe and you stop needing to watch the lower one.
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Frequently asked questions
Does technical analysis actually work?
Partly, and for a specific reason: levels matter because resting orders and stops cluster there, and widely watched levels attract activity because they are widely watched. It works for defining risk and identifying levels. It does not predict, because every indicator is derived from price that has already happened.
Does an oversold RSI mean I should buy?
No. It means price fell a lot quickly relative to its recent range — a description of the past. In a sustained downtrend oscillators pin at oversold for weeks while price keeps falling.
Which timeframe should I use?
The one matching your holding period. Higher timeframes produce fewer, more meaningful signals; daily and weekly readings are far more robust than 5-minute ones, which are dominated by noise.
Why do support and resistance levels stop working?
Because each test consumes the orders sitting there. A level tested repeatedly is being weakened, not strengthened, and in a strong move the resting orders are simply absorbed.