QMA
Register

Analytický a vzdělávací obsah — ne investiční poradenství. QMA není registrovaný poradce (SEC/FINRA/MiFID II/ČNB). Minulá výkonnost ≠ budoucí výnosy. Data mohou být opožděná. Část obsahu tvoří AI 🤖.

🎯QMA 强力形态 — 波动收缩突破

📘 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.

2026-05-18 · 268 views

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:

  1. The recent range narrows relative to prior weeks — daily oscillation falls
  2. Average daily volatility (ATR) declines — the market "calms down"
  3. Price holds above a moving average — trend intact, just resting
  4. Volume declines in the consolidation — selling pressure exhausted, only strong hands left
  5. The breakout day comes on elevated volume
The model also adds a quality overlay — it considers only companies with a reasonable fundamental profile (overall quality score, momentum, relative strength, adequate market cap).

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win rate, sample size) are WITHDRAWN.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.
Note: the sample was a handful of trades. At that size the confidence interval is so wide that nothing can be inferred from it. Treat the description above as an account of a chart pattern, not a certainty.

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 %)
For a day trader, a long-term holder, or someone emotionally drawdown-averse, this style is less suitable.

Risks worth knowing

  1. Earnings gap — a company can report the day after a seemingly perfect setup and open sharply lower. Educational takeaway: watch the next earnings date.
  2. Sector rotation — concentrating positions in one sector raises correlated risk.
  3. False breakout (bull trap) — a breakout can reverse the next day.
  4. Macro events — algorithms clear positions ahead of FOMC/CPI.
  5. 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.

Was this helpful?
Tags
SwingVolatility ContractionBreakoutPower SetupTechnical
💬

Want to know more? Ask the QMA Research Assistant

The Research Assistant knows the whole platform and its data. If the answer is not in the QMA database, it looks it up and explains it in plain language. It is an analytical and educational tool, not investment advice.

Open the Research Assistant →

Related articles

See it live: QMA scores 17,000+ stocks for you

Full access to the 5-pillar analysis, smart-money data and the whole-market screener. No commitment, cancel anytime.

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

QMA Brain – free weekly recap

One email a week with a descriptive recap. Unsubscribe anytime.

7 days of Elite free, no card

The account is free to open and needs no card. For that time the account has full Elite access.

Create a free account

Content 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.

QMA Magazín

A next-generation research & analytics magazine — markets, stocks, smart money and education in one place, built on data from the QMA platform.

Contact & operator information
Share QMA

QMA is an analytical and educational tool, not investment advice. Magazine content is descriptive — it is not an instruction to buy or sell any financial instrument. Past performance does not guarantee future results. Consider your own situation, or consult a licensed advisor, before any investment decision. Data may be delayed.

News: The GDELT Project (gdeltproject.org). Headlines link to the original publishers. Some macro data uses the FRED® API — this product uses the FRED® API but is not endorsed or certified by the Federal Reserve Bank of St. Louis (terms of use).

Operator

Quantum Market Analyzer (QMA) is a trading name operated by Jaroslav Vojtášek, a Czech sole trader (IČO 48783447).

Place of business: U Jízdárny 577, 747 64 Velká Polom, Czech Republic · Register: Sole trader registered in the Czech Trade Licensing Register

E-mail: [email protected]

© 2026 Jaroslav Vojtášek · Quantum Market Analyzer is a trading name of the operator.