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2015issue C0819

One checklist for breakout entry and ATR risk

A breakout becomes teachable only after universe filters, range definition, trigger distance, an ATR-bounded loss, and later stop changes sit inside one if-then procedure. Entry, abstention, and in-trade management then remain the same testable object.

  • Written if-then rules both block a trade when required conditions fail and permit it when those conditions are present.
  • The pre-trade checklist begins with the eligible universe and can require a group or sector screen before any individual name is admitted.
  • A consolidation-breakout hypothesis is incomplete until range type, time in range, market context, a price alert, and a distance trigger are specified.
  • An ATR loss bound, a hard risk limit, and later stop or size revisions stay inside the same rules after entry.
Entries in this reading3 entries

From chart event to if-then procedure

Editorial note: a breakout becomes teachable only after it stops being a chart event. Universe filters, range definition, trigger distance, an ATR-bounded loss, and later stop changes are framed here as one if-then procedure so entry, abstention, and in-trade management stay the same testable object.

Written if-then rules are used both to block trades when required conditions fail and to permit trades when those conditions are present. Each if-then rule either blocks a trade, allows a trade, or specifies an in-trade adjustment when a defined condition appears.

Start with the eligible universe

A pre-trade checklist is an ordered set of if-then gates that must pass before an order is allowed. It begins by defining the eligible name set using liquidity, price, volatility, and related constraints. That filtered set is the eligible universe a system may trade.

The checklist can require a group or sector screen before any individual name is admitted. If the name or its group fails those early gates, the order is blocked.

Specify the range before the breakout

A consolidation-breakout hypothesis is incomplete until the range type, time spent inside the range, and surrounding market context are specified. That range definition is required before the hypothesis is allowed.

An upward breakout is defined as a price alert plus a minimum distance above that alert, together with an expected payoff taken from volatility, including average true range, and from prior resistance. Breakout confirmation is that alert plus the distance trigger, not a single print through a level. The distance trigger is the extra move beyond the alert price that qualifies the breakout as valid.

Bound the loss before the order

A loss bound for one trade or for the strategy as a whole may be a distance in cents or a percentage of ATR below entry, a distance below prior support, a distance below projected levels, moving averages, or VWAP, or a hard maximum amount.

An ATR loss bound expresses that limit as a percentage of average true range, or as a trailing stop that uses ATR to ratchet. A hard risk limit is the fixed maximum loss accepted on one trade or on the strategy as a whole.

Keep later changes inside the same rules

Once in the trade, a modified ATR trailing stop can protect open gains, or profit stops can be moved to key levels and tightened when the signal-to-noise ratio rises. Signal-to-noise is a judgment of how clean price action is relative to chop, used to tighten or loosen stops after entry.

An adverse tape or an inside day is treated as a reason to widen or tighten stops relative to their defaults while remaining inside the same rules. An inside-day adjustment is a session whose range sits inside the prior session and is treated as a reason to revisit default stop width.

Current market conditions remain an input after entry because individual names are assumed to move with the broader market. Profit objectives, stops, and size may be revised without treating the revision as a rule break.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
24 of 36 in the ATR position sizing track
201550-55 pp.Next on ATR position sizingPercentage true-range construction for cross-market volatility filtersRestating true range as a percentage of a local price level lets volatility be compared across markets whose point ranges are not on the same scale.
All readings on this track · 36 readings
  1. 1988Constructing unsigned true range for directional models
  2. 1989Evaluate an always-in ATR breakout as one procedure
  3. 1992Variable lookback and average true range as a trend-filter construction
  4. 1993A random-walk index that uses true range as its scale
  5. 1993A shared harness for trend-filter construction
  6. 1998Finish a trend with a volatility trail, wave permission, and a slower-frame veto
  7. 1999A trend filter that switches tactics and scales ATR targets
  8. 2001Filter higher lows with linear regression, then judge the exit
  9. 2003A Mechanical trading system is a maintained procedure, not only an entry trigger
  10. 2005Construction of a volatility-bounded long entry
  11. 2005Six-zone encoding of open, high, low, and close
  12. 2006Normalized average true range as a pre-entry volatility bound
  13. 2006Chandelier exits, ATR position sizing, and trailing stops
  14. 2007Constructing a rule-based entry with Relative Strength Index and ATR position sizing
  15. 2008Constructing a zero-lag TMA and heikin-ashi crossover as a complete rule set
  16. 2010Use the session-range percent stop as a pre-trade filter
  17. 2011OCA exit groups, trailing limits, and ATR stops
  18. 2011ATR bands around support and resistance for stops and targets
  19. 2013Algorithmic head-and-shoulders construction with bounded exits
  20. 2013Constructing ATR-scaled swing pivots and linear-regression divergence
  21. 2013Constructing volatility bands from typical price
  22. 2014Constructing true-range contraction filters before expansion
  23. 2015Constructing touch plans from modified true range
  24. 2015One checklist for breakout entry and ATR risk
  25. 2015Percentage true-range construction for cross-market volatility filters
  26. 2015Construct a percentage true range for cross-market volatility
  27. 2015Percentage true range as a pre-entry exposure filter
  28. 2016Constructing ATR-filtered breakout entries
  29. 2017A dividend date as a pairs-trading classroom
  30. 2018Range-based volatility as a true-range construction
  31. 2018Moving average support and volatility-band construction
  32. 2018Construct a lifecycle breakout from compression
  33. 2018Pair the book first and let volatility or range set the size
  34. 2019Trend systems need a no-trade rule
  35. 2020Average true range as a shared unit for size, pairs, and stops
  36. 2020Volatility sizing and target-risk leverage as a pre-trade gate
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