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2013issue C1059-61

Constructing a typical-price and heikin-ashi crossover as one mechanical procedure

This archive note reconstructs a crossover that compares a five-period typical-price average with an eight-period heikin-ashi-close average, then writes candle confirmation, next-bar open fills, labeled exits, and opposing-position flags as one inspectable procedure.

  • The crossover construction compares a five-period typical-price average with an eight-period average of the heikin-ashi close.
  • A long or short entry is armed only when the average-cross direction and the candle’s close-versus-open relationship agree.
  • Exit construction includes stop-loss and breakeven logic as labeled exits, while opposing-position flags keep only one side open and use the opposite signal to flatten and reverse.
  • Buy and sell markers can fill at the next bar’s open, a nine-column worksheet can expose the full crossover state, and a background overlay can stand in for long versus short state when candle coloring is unavailable.
Entries in this reading3 entries
Current trackMoving-average crossover108 readingsMechanical trading system158 readingsRule-based entry174 readings

What the two averages compare

The crossover construction compares a five-period typical-price average with an eight-period average of the heikin-ashi close. The typical-price average is a moving average of each bar’s typical price, used as one side of that comparison. The heikin-ashi-close average is a moving average of the heikin-ashi close, used as the opposing side of the same crossover.

When entries are armed

A long entry is armed only when the typical-price average is above the heikin-ashi-close average and the candle closes above its open. A short entry is armed only when the typical-price average is below the heikin-ashi-close average and the candle closes below its open. Candle confirmation is that extra entry filter: the raw close-versus-open relationship must agree with the average-cross direction before a signal is armed.

Labeled exits and opposing-position flags

Exit construction includes stop-loss and breakeven logic, with each order labeled so the trade report can identify which rule produced the fill. Those labeled exits let a stop-loss fill and a breakeven fill be attributed to named rules. Automation treats long and short as opposing-position flags: a long signal opens a buy only when no long is open and closes an existing short, and a short signal does the inverse. That mechanical state keeps only one side open and uses the opposite signal to flatten and reverse.

Fills, worksheet state, and chart overlay

Buy and sell markers can be placed at the next bar’s open so the fill occurs one bar after the crossover condition appears. That next-bar open fill records the signal on one bar and transacts at the following bar’s open. A worksheet build can expose the full crossover state in a nine-column calculation block and let the user switch exponential-average formulas when choosing lengths. When individual candle coloring is unavailable, a user-toggled background overlay can stand in for long versus short state on the chart.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
52 of 57 in the Moving-average crossover track
201616-21 pp.Next on Moving-average crossoverA three-gate checklist for longs after a sharp dropLater tests kept only those sharp-drop longs that printed while a golden-cross remained in force.
All readings on this track · 57 readings
  1. 1988Constructing moving averages: weights, smoothing and crossovers
  2. 1988Constructing breadth and average trend states
  3. 1989Evaluating an always-in-the-market moving-average crossover
  4. 1989Constructing symmetric market-breadth ratio accumulators
  5. 1989Objective crossover tests of Fibonacci wave ratios
  6. 1990Volume-adjusted moving average construction
  7. 1991Constructing a mechanical crossover on a synthetic price series
  8. 1991A two-speed breadth reading for intermediate market direction
  9. 1992A Deutschemark yield map with dual-average and relative-strength timing
  10. 1992Confirming currency-fund trends with a crossover and a filter
  11. 1992A moving-average slope filter for crossover signals
  12. 1992Occupancy and split-sample tests for average crossovers
  13. 1994Gold-mining seasonality and bond-fund duration switching
  14. 1994Price oscillator from two moving averages
  15. 1995Explicit exponential weights and binary entry filters
  16. 1996Currency futures crossover with slope, bond filter, and stop
  17. 1996Two-market average crossover entry with a fixed stop
  18. 1997Construction of a filtered three-average crossover
  19. 1998Two-group exponential average compression as a trend filter
  20. 1998Constructing r-squared trend filters with dual lookbacks
  21. 1998Moving-average length is a habit, not a secret
  22. 1999Solving the close that triggers a moving-average crossover
  23. 2000Kagi yang and yin control versus crossover noise
  24. 2000Constructing simple moving average crossover filters
  25. 2000Building a vertical-horizontal filter to gate trend signals
  26. 2000Two-average crossover as a check on trend following
  27. 2003Stacked exponential-average retracement entries and extreme stops
  28. 2003Evaluating oscillator thresholds against optimized crossovers
  29. 2004Constructing a semicycle trend-quality filter
  30. 2004Commodity subgroups labeled by crossover, support, or convergence
  31. 2004Full-window evaluation of crossover trend systems
  32. 2004Two-average trend filters as a classroom critique of indicator stacking
  33. 2005Three-layer confirmation from a moving-average cross, candles, and Q-stick
  34. 2005Charting put prices beside an equity breakdown
  35. 2005Range-gated moving-average crossover construction
  36. 2007Anticipating a simple-average crossover with a threshold-close
  37. 2007Anticipating moving-average crossovers one bar ahead
  38. 2007Lead-series moving-average crossovers with a stochastic and relative strength index
  39. 2007Next-bar SMA crossover hypotheses from theoretical crossing values
  40. 2007Anticipating a moving-average crossover before confirmation
  41. 2007A three-horizon moving-average stack as a construction problem
  42. 2007Confirming trend with regression slope and r-squared
  43. 2008Constructing a multi-timeframe smoothed crossover
  44. 2008Best-day clusters versus trend filters
  45. 2008Allied markets as a confirmation gate for crossover and breakout signals
  46. 2008Weekly exponential-average crossover as a mechanical trend case study
  47. 2010Evaluating a 200-day crossover as long, short, and stand-aside rules
  48. 2010Read a 10-and-40 trend on two neighboring time frames
  49. 2012Sampling unit as a first-class parameter on dual simple moving averages
  50. 2012Constructing index-ETF entries from volatility-index persistence
  51. 2013Moving-average baselines versus crossover signals
  52. 2013Constructing a typical-price and heikin-ashi crossover as one mechanical procedure
  53. 2016A three-gate checklist for longs after a sharp drop
  54. 2016Weekly inflation-ratio crossover for commodity regimes
  55. 2017Normalized Laguerre zero-axis warning as a two-marker construction
  56. 2019Range-weighted construction of an adaptive exponential moving average
  57. 2020Construct a second-pullback entry after a moving-average crossover
By fieldEntry and exit rules206 readingsBy year201398 readings
All 108 readings tagged Moving-average crossover
Also on Moving-average crossover5 readings
1989Evaluating an always-in-the-market moving-average crossover1991Constructing a mechanical crossover on a synthetic price series1992Audit quarterly swing breakouts with a slower average cross1994Price oscillator from two moving averages2008Best-day clusters versus trend filters