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Breakouts, breakdowns, retests and false moves
Updated 4 August 2026 · 3 min read · 14 Contents
Plain-language meaning
A breakout or breakdown is a completed-bar move beyond a previously defined boundary. Retest and false-breakout labels require later bars and explicit rules; they cannot be known at the original crossing without future evidence.
Learning objectives #
You should be able to define boundaries without hindsight, choose wick or close confirmation, scale tolerance, separate event from continuing state and evaluate outcomes without rewriting failed cases.
Core concept #
A rule may require close above the highest prior N-bar high excluding the current bar, optionally by a tick, percentage or ATR buffer. A false breakout might be defined as returning inside the boundary within M completed bars. These choices materially change counts and must be frozen before evaluation.
Method and conventions #
Separate structure, event, participation and outcome: boundary definition; crossing rule; optional volume condition; then later observation horizon. A risk/reward scenario is hypothetical and must state entry reference, invalidation, costs and maximum holding period without becoming an instruction.
Use it in XMarketRadar #
Use prior-window Donchian-style boundaries or documented drawings. In Screener, confirm that the current bar is excluded from its own boundary. In Backtest, freeze universe, dates, costs and outcome rule before running.
Worked example #
If the prior 20-session high is INR 100 and ATR is INR 2, a close of INR 101 exceeds the boundary but not a 1×ATR buffer at INR 102. Under a simple close-above rule it is a breakout event; under the buffered rule it is not.
How to interpret it #
A breakout event occurs once on the transition bar. Later closes above the level are continuation. A retest is a later interaction under its own tolerance, and a false breakout is known only after its declared return condition occurs.
Limitations and common mistakes #
Including the current high in the prior boundary makes breakout logic self-referential. Other errors are moving the level after failure, ignoring gaps and corporate actions, counting overlapping events as independent and omitting delisted or unavailable rows.
Market-specific differences #
Price limits, overnight gaps, liquidity and session structure change breakout frequency. The same ATR or percentage buffer can behave differently across venues and intervals.
Key takeaway #
Key takeaway: a breakout is a timestamped rule transition; retest and false-breakout labels are later observations, never facts available in advance.
Practice exercise #
Practice: define two breakout rules on the same boundary, including one buffered rule, then walk forward bar by bar and record event, continuation, retest and unable states.
Educational use only #
This chapter is descriptive education. It is not investment advice, a price prediction, a recommendation, a claim of predictive accuracy, or an instruction to buy, sell, rebalance or place an order.