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Technical Analysis

Support, Resistance & Trend: Does TA Actually Work?

beginner·6 min read·Tier 2

Technical analysis (TA) is the study of price itself (support, resistance, trend lines) to decide where to act. It is also one of the most contested ideas in finance. So before you draw a single line, it helps to be honest about what the evidence actually supports.

What the research really says

Academics have argued about TA for over thirty years. A famous 1992 study found that simple moving-average and breakout rules appeared to beat a random market on a century of Dow data. But later work using stricter statistics showed a problem: if you test thousands of rules and report only the best one, you will always find something that looks good in the past. When researchers corrected for that "data-snooping," most of the apparent edge vanished, and what survived was often eaten by trading costs.

The honest summary from that literature: most ad-hoc TA rules are noise fitted to history. A narrow set of trend signals holds up better, but even those have a modest edge that shrinks as more people trade them.

So a chart line is not a crystal ball. Treat TA as a way to define rules and levels, not a guarantee about the next candle.

Support, resistance and trend, defined

  • Support is a price area where buying has previously been strong enough to stop a fall. It is a zone, not an exact number.
  • Resistance is the mirror image: an area where selling has stopped a rise.
  • Trend is the overall direction: a series of higher highs and higher lows (up), or lower highs and lower lows (down).

These work partly because they are self-fulfilling: enough traders watch the same obvious levels that orders cluster there. That makes them useful reference points, not magic. A level that "held three times" can break on the fourth, and the break itself can be the signal.

Turning a level into a rule you can test

The real value of a level is that it lets you write down, in advance, exactly when you are right and when you are wrong:

  • Validation: what must happen to enter, for example price closes back above a prior support level on rising volume.
  • Invalidation: the price that proves the idea wrong, usually just beyond the level. This becomes your stop.
  • Because the stop sits a measurable distance from your entry, you can size the trade so a loss is a fixed 1R, and judge every outcome in R-multiples.

This is the move that turns "I think it'll bounce here" into something you can actually evaluate. A level without an invalidation price is just a feeling.

Why honesty beats conviction

If TA's edge is small and decays, then which setups you keep trading matters enormously. The only way to know whether your support-bounce trades or your breakout trades actually make money is to log them, attach a stop so R is defined, and look at the expectancy of each setup over many trades. The chart suggests; the journal decides.

Put it to work in FSP: save a level-based setup as a Strategy with explicit validation and invalidation rules, attach a stop so every trade has a clean R, then check in Analytics whether that setup actually carries positive expectancy.

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Now apply it in your journal

Reading is step one. Log your trades, and FSP shows whether you're actually putting this into practice.

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