202014-17
Volatility sizing and target-risk leverage as a pre-trade gate
Editorial stance: treat size as a gate, not a reward dial. Convert account equity and a volatility reading into one bounded loss before entry, then use leverage only to keep annualized risk near a chosen band.
- Size is settled before entry by converting account equity and a measured volatility reading into a position whose loss or exposure is already bounded.
- ATR position sizing divides an equal dollar allocation by the dollar value of a 20-day average true range so each futures name starts with comparable volatility risk.
- A 12% target for annualized risk tells the book when to add or remove exposure, using unused funds or a reduced stake in a levered stock vehicle as slack.
- The information ratio, annualized return divided by annualized risk, compares markets, systems, or books on an equal-risk footing after those measurements are in place.
Size as a pre-trade gate
TradersWeek treats size as a pre-trade gate rather than a reward dial. That reading is editorial. The archive describes a historical workflow that turns account equity and a volatility reading into a bounded loss, then later raises or cuts committed capital so measured book risk stays near a chosen band.
Editorial point: a quiet tape or a violent tape can rewrite exposure if size is left untouched. Leverage control is the later adjustment that absorbs those shifts. It is not the tool that decides whether the trade is worth taking.
How return and risk are measured
Period return can be defined as profit or loss divided by original investment. Those period returns are then compounded into a net asset value series that conventionally starts at 100. Annualized return is the net asset value ratio raised to the sample length in years, minus one. Daily samples use 252 observations, weekly samples use 52, and monthly samples use 12.
Annualized risk is the standard deviation of those period returns multiplied by the square root of 252, 52, or 12 for the matching sampling frequency. In this workflow, annualized risk is treated as interchangeable with volatility.
The information ratio is annualized return divided by annualized risk. It is used to compare markets, systems, or books on an equal-risk footing. Readings above 1.0 are labeled very good. Readings above 3.0 are labeled excellent but rare.
Target risk under a bell-curve assumption
A 12% target for the standard deviation of returns is paired with a symmetric bell-curve assumption. Under that assumption, about 68% of observations lie within one standard deviation of the mean and about 95.5% within two. The pairing is used to imply a 16% chance of losing more than 12% and a 2.25% chance of losing more than 24%.
That 12% figure is the archive illustration of target risk: a chosen standard-deviation band for portfolio returns that later tells the trader when to add or remove leverage.
Equal initial risk and ATR size
Giving every book position the same initial risk, and a pair a hedge ratio of 1.0, is presented as the condition that keeps one name from overwhelming the rest. That condition is volatility parity: equalizing initial risk across positions by sizing each name from its own volatility.
Volatility position sizing is the filter that converts account equity and a measured volatility reading into a position whose loss or exposure is bounded before entry and reviewed while the trade is open. ATR position sizing is the futures-ready form of that filter. A futures volatility-parity size is an equal allocation divided by the dollar value of a 20-day average true range, using only 25% of capital so unused funds remain as a loss reserve. Each name then starts with comparable volatility risk.
Editorial reading: converting equity and that average-true-range reading into size is the gate. The later leverage step does not reopen that gate.
Leverage after the book is measured
Leverage control comes after that gate. Exposure is increased when annualized risk sits below a chosen target such as 12% and reduced when it sits above. Unused futures capital, or a one-third stake in a triple-levered stock vehicle, is the described capacity for that change.
Raising or cutting committed capital is how the book is kept near the target-risk band. Unused funds or a reduced stake in a levered stock vehicle are the slack. Editorial reading: leverage is only the later adjustment that keeps measured book risk near the chosen band, not a way to dial up reward.
How the three filters sit in sequence
Read together, the three methods form a sequence rather than a menu. That sequence is editorial. First lock a bounded loss with volatility position sizing. Use ATR position sizing when the book is futures. Only then apply leverage control so a quiet or violent tape cannot rewrite exposure by itself.
All readings on this track · 36 readings
- 1988Constructing unsigned true range for directional models
- 1989Evaluate an always-in ATR breakout as one procedure
- 1992Variable lookback and average true range as a trend-filter construction
- 1993A random-walk index that uses true range as its scale
- 1993A shared harness for trend-filter construction
- 1998Finish a trend with a volatility trail, wave permission, and a slower-frame veto
- 1999A trend filter that switches tactics and scales ATR targets
- 2001Filter higher lows with linear regression, then judge the exit
- 2003A Mechanical trading system is a maintained procedure, not only an entry trigger
- 2005Construction of a volatility-bounded long entry
- 2005Six-zone encoding of open, high, low, and close
- 2006Normalized average true range as a pre-entry volatility bound
- 2006Chandelier exits, ATR position sizing, and trailing stops
- 2007Constructing a rule-based entry with Relative Strength Index and ATR position sizing
- 2008Constructing a zero-lag TMA and heikin-ashi crossover as a complete rule set
- 2010Use the session-range percent stop as a pre-trade filter
- 2011OCA exit groups, trailing limits, and ATR stops
- 2011ATR bands around support and resistance for stops and targets
- 2013Algorithmic head-and-shoulders construction with bounded exits
- 2013Constructing ATR-scaled swing pivots and linear-regression divergence
- 2013Constructing volatility bands from typical price
- 2014Constructing true-range contraction filters before expansion
- 2015Constructing touch plans from modified true range
- 2015One checklist for breakout entry and ATR risk
- 2015Percentage true-range construction for cross-market volatility filters
- 2015Construct a percentage true range for cross-market volatility
- 2015Percentage true range as a pre-entry exposure filter
- 2016Constructing ATR-filtered breakout entries
- 2017A dividend date as a pairs-trading classroom
- 2018Range-based volatility as a true-range construction
- 2018Moving average support and volatility-band construction
- 2018Construct a lifecycle breakout from compression
- 2018Pair the book first and let volatility or range set the size
- 2019Trend systems need a no-trade rule
- 2020Average true range as a shared unit for size, pairs, and stops
- 2020Volatility sizing and target-risk leverage as a pre-trade gate