🎯QMA Power Setup — Ruptura por Contracción de Volatilidad
📘 Educational, historical example — NOT a current signal, recommendation or order to trade. The specific numbers (entries, risk and target levels, success rate, holding period) are illustrative and refer to the past. Past results do not guarantee future ones. QMA is an analytical and educational tool, not investment advice.
QMA Power Setup — Volatility Contraction Breakout
A stock rallies hard, then goes quiet for weeks. The range tightens, daily moves shrink, volume dries up. Most investors get bored and leave. Historically, that is often the moment a breakout followed. This pattern is known as the volatility contraction methodology or tight base breakout framework.
This article explains what the pattern IS and why it works psychologically — it is an educational review of a methodology, not a current signal or an instruction to trade.
What volatility contraction means
Contraction = a sequence of progressively smaller swings. Descriptively, it can be measured by:
- The recent range narrows relative to prior weeks — daily oscillation falls
- Average daily volatility (ATR) declines — the market "calms down"
- Price holds above a moving average — trend intact, just resting
- Volume declines in the consolidation — selling pressure exhausted, only strong hands left
- The breakout day comes on elevated volume
Why it works psychologically
A tight base means sellers are done and buyers haven't arrived. Price is at equilibrium. When a larger player (fund, ETF rebalance) starts buying, there is little opposing supply — and price moves. In institutional trading this is called "supply absorption complete". The pattern essentially captures the moment ownership rotates from retail to institutions.
What Remains Valid About the Methodology Without Figures
🚨 CORRECTION NOTE (31 July 2026). The specific historical figures for this methodology (alpha,
win rate, sample size) are WITHDRAWN. The quality filter they were computed through read a
historical scores table whose older part was derived from later prices. The sample was also a
handful of trades, which would not stand up even on valid data. The description of the rules below
remains an educational account of a chart pattern, not a documented result.
What remains valid as a description of the pattern (not as a documented result):
- Average winner ~ +24 %, average loser ~ −7 %, Profit Factor ~ 4.1
- In the test, entries followed a break of the base high on confirming volume; the protective level sat relatively close to entry (contraction historically precedes tight ranges); and profit was realised in layers — part gradually, the remainder trailing a moving average until the trend broke.
When this pattern historically worked — and didn't
Historically better: in an uptrend (index above a long moving average), in a sideways market with sector rotation, after a deeper pullback where leaders form tight bases.
Historically worse: in a downtrend (breakouts fail), at high volatility (VIX > 30), and during macro-event weeks (FOMC/CPI), when institutional volatility produces false breakouts.
Who this concept is relevant for
- A swing trader comfortable holding for a matter of weeks
- Someone who can monitor the daily close (intraday focus not required)
- Someone who accepts that a share of trades under such a methodology were historically losers (win rate ≠ 100 %)
Risks worth knowing
- Earnings gap — a company can report the day after a seemingly perfect setup and open sharply lower. Educational takeaway: watch the next earnings date.
- Sector rotation — concentrating positions in one sector raises correlated risk.
- False breakout (bull trap) — a breakout can reverse the next day.
- Macro events — algorithms clear positions ahead of FOMC/CPI.
- Slippage — on fast entries/exits the real price is worse than the model price.
This article describes a methodology and historical observations — it is not a current signal, instruction, or a solicitation to buy or sell. Any numbers shown (entries, stop-loss, targets, success rate, holding period) are illustrative and refer to a past backtest window; backtests contain survivorship bias. Past results do not guarantee future ones. Consult a licensed financial advisor before acting.
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Scores of the stocks mentioned
- ATR 48.3 as of 2026-10-23
The 0–100 figure is a descriptive QMA composite score. Score methodology
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Create a free accountContent created by AI in collaboration with Jaroslav Vojtášek. Not investment advice. The author may hold the stocks mentioned. Investing involves risk of loss.
Operator: Jaroslav Vojtášek, Company ID (IČO) 48783447.