2018issue C0214-21
Intraday breakout and mean reversion as one rule set
A historical workflow compared a lagged moving-average trend on 15-minute SPY bars with a faster opening-range breakout, then stacked that breakout with a mean-reversion reversal as a single mechanical system. Editorial reading: use trend only where holding time can absorb lag, and keep profit-taking, day-exit, and abstention inside one testable procedure.
- On 15-minute SPY bars, a 10-bar moving average has a 75-minute lag, so an entry plus an exit can consume about 2.5 hours, or about 38 percent, of a 6.5-hour session.
- The same SPY tests found a breakout reacting faster than a moving average, with more profits at shorter periods but similar overall maximum and minimum net results after costs.
- Futures opening-range tests from 2010 favored the previous close over the session open as the breakout basis, then stacked a mean-reversion reversal as one mechanical system with statistics split by all trades, longs, and shorts.
- Editorial reading: use a trend rule only where holding time can absorb lag, and keep profit-taking, day-exit, and abstention inside the same testable breakout-plus-reversion procedure.
Complementary procedures, not rival styles
A mechanical trading system is a fully specified procedure that turns market state and execution constraints into entry, exit, and abstention signals that can be tested as one unit.
The archive tested a moving-average trend, an opening-range breakout, and a mean-reversion reversal on short-horizon bars. The breakout and fade were later joined into one procedure so that entries, exits, and reversals could be checked together.
Why a moving-average trend can consume the day
A moving-average trend applied to 15-minute SPY bars from 2010 through mid-August 2017 was tested across calculation periods of 5 to 100 bars. That span was described as about 75 minutes to four days.
On those 15-minute SPY bars, a 10-bar average has a 75-minute lag. An entry plus an exit can consume about 2.5 hours of a 6.5-hour session, or about 38 percent of the day.
A faster reaction than a moving average
The same SPY tests showed a breakout reacting faster than a moving average. There were more profits at shorter periods, but overall maximum and minimum net results after costs were similar.
Lengthening the calculation period on 15-minute SPY data produced a more orderly pattern in which longer periods were profitable and shorter ones were not.
Opening-range thresholds on futures
A breakout system is a mechanical rule that enters when price crosses a predefined threshold around the prior close or the session open, then exits by a later rule such as the same-day close.
The tested opening-range breakout bought an upper threshold and sold a lower threshold built from the prior close or the session open plus or minus a factor times the 20-day average true range. It exited at the session close and allowed same-day reversals.
That breakout was run from 2010 on 30-year bond futures on 25-minute bars, emini S&P futures on 30-minute bars, and crude oil futures on 20-minute bars. Each test used an $8 per contract per side cost.
Across those three futures tests, using the previous close as the breakout basis was favored over the open. Bonds showed similarly poor close and open results because small moves made cost a serious obstacle. Crude oil was stronger off the previous close.
Breakout and mean reversion as one system
Mean reversion is a mechanical rule that fades a large short-horizon move, expecting prices to give back part of that move rather than continue it.
The combined breakout and mean-reversion reversal procedure was presented as a single mechanical system. Its statistics were reported separately for all trades, long trades, and short trades.
The archive concluded that profit-taking belongs in the short-horizon window where noise dominates trend. It also concluded that noisier markets called for larger initial breakouts and larger reversal thresholds, and that resets used in longer-term trend work do not apply to this intraday setup.
All readings on this track · 36 readings
- 1986A futures fade as one range, order, and secrecy procedure
- 1992Constructing the mass-index range-reversal procedure
- 1993Switch trend following and mean reversion with an equity-curve filter
- 1994Evaluating weekly trend-following and mean-reversion timing rules
- 1996Dual-horizon bands for a precious-metals cash switch
- 1997Constructing a moving regression oscillator
- 1997Regime-dependent long and short rules in mechanical systems
- 2002A same-session pair book with a morning-fixed volatility envelope
- 2004Combining noncorrelated trend and reversion systems
- 2004Failed-breakout overlays on trending markets
- 2004Rank rotation after a path split, then Robustness testing
- 2004Range-bound tape as a filter for trend and oscillator rules
- 2005A moving-average short pullback that is only in scope in a decline
- 2006Constructing an adaptive price zone from a double-smoothed range
- 2007Two-period relative strength index versus a one-week universe baseline
- 2008Building ETF mean-reversion entries with a two-bar washout
- 2008Rebuild a short-period stochastic as a premier stochastic oscillator
- 2008A three-market regime map for equity bounces and dollar cycles
- 2009Option trade adjustment as one testable procedure
- 2010Implied volatility as a May 2010 market-regime lab for the S&P 500
- 2011Treat a large one-day move as a classified event
- 2011Long-call exits, volatility regimes, and spread assignment
- 2011Pairing same-horizon oscillators with a walk filter
- 2012Two-bar band extreme entries with trailing stops
- 2012An eight-month average as a monthly gate for high-yield bonds
- 2014Complete the checklist before the trade
- 2014Coded rules should face one test, not a kinder sample
- 2015Build a mean-reversion basket from one correlation path
- 2015Index dip reversion is horizon and regime dependent
- 2016Treat the end of a trend as a handoff, not a broken system
- 2017A testable half-swing pullback for trend continuation
- 2017Evaluating four swing detection rules for mean reversion
- 2018Intraday breakout and mean reversion as one rule set
- 2018Evaluating rare consecutive-close mean-reversion entries
- 2020Moving-average baselines, price vetoes, and mean reversion
- 2020Two-dimensional FX scaling for trend and reversal systems