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2011issue C0242-47

Vendor feeds as an input variable in a MACD evaluation

A fixed, unoptimized MACD reversal rule on one Russell 2000 sample can look consistent across charts and still change its signed outcome when the same OHLC bars are sourced from different vendor feeds.

  • Vendor-to-vendor OHLC disagreements on a mid-2005 to mid-2010 Russell 2000 sample can look like hundredths on a single bar and still fail to cancel when summed.
  • A 0.01 per-bar discrepancy over 1,257 trading days equals 12.57 index points, or 1,257 currency units at 100 units per Russell 2000 point on a single contract path.
  • Equal-looking charts can rest on different open definitions and rounding. The originating exchange print supplied only closes for part of the window and at finer decimal precision than typical vendor files.
  • The exercise held one unoptimized MACD specification and a market-order fill to expose data-source effects. Commercial vendor series clustered on similarly negative outcomes, while the exchange series was the outlier and the only one near a non-negative result.
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The MACD rule was held fixed

A MACD oscillator is used here as a fixed, unoptimized reversal rule that turns a repeatable chart condition into a testable long-or-short hypothesis. The historical exercise held one unoptimized MACD specification on one Russell 2000 sample to expose data-source effects. It was not designed to prove that a MACD reversal rule works.

The evaluation used a market-order fill, an at-market entry, so the comparison isolates data differences rather than order-type effects.

OHLC disagreements that look like hundredths

A five-year Russell 2000 sample from mid-2005 to mid-2010 can show vendor-to-vendor OHLC disagreements that look like hundredths on a single bar but do not cancel when summed. That pattern is accumulated tick error: tiny per-bar differences that look negligible on a single day but add into a material point total when summed across a multi-year sample.

In one two-vendor summation, closes were 52 points lower, opens 40 points higher, highs 65 points lower, and lows 48 points higher, with the signed gaps alternating rather than lining up in one direction. Range invariance, the idea that a day's high minus low might stay stable even when open and close prints disagree, is a check, not an assumption.

A 0.01 per-bar discrepancy accumulated over 1,257 trading days equals 12.57 index points. At 100 currency units per Russell 2000 point that is 1,257 units on a single contract path.

Two vendors can show long stretches of identical zeros in a difference sheet and still leave a non-zero close total, with most of one close gap concentrated on a single session.

Opens, rounding, and the exchange print

The originating index series supplied only closes for part of the window, to six decimal places, while vendor files typically carried two decimal places. That exchange print is a reference close, available at finer decimal precision than typical vendor files.

Vendors may not share the same definition of the open. Some record the first traded print, so equal-looking charts can still rest on different OHLC construction.

Signed outcomes under the same market-order rule

Under that fixed MACD market-order rule, commercial vendor series produced similarly negative outcomes, while the exchange series was the outlier and the only one near a non-negative result.

Across roughly 100 hypothetical trades the vendor-to-vendor P&L gap was only a few currency units, which is smaller than typical live bid-ask and fill variation.

Editorial: the small vendor-to-vendor P&L gap is why a standard oscillator rule can look consistent across commercial charts, even though the exchange series still shows that changing the feed can change the signed outcome.

Russell 2000 daily closes from vendors T, M and G

Daily Russell 2000 closes from the author's side-by-side CSV spreadsheet of vendors T, M and G. A trader overlaying the three series would call them the same market: most prints differ only in the hundredths, yet 13 October 2005 already shows vendor T several points away from M and G. Those tiny feed disagreements are the input that later flips the dollar result of a fixed MACD market-order rule.
Daily Russell 2000 closes from the author's side-by-side CSV spreadsheet of vendors T, M and G. A trader overlaying the three series would call them the same market: most prints differ only in the hundredths, yet 13 October 2005 already shows vendor T several points away from M and G. Those tiny feed disagreements are the input that later flips the dollar result of a fixed MACD market-order rule.Russell 2000 · daily · 2005-09-30T00:00:00.000Z to 2005-11-08T00:00:00.000Z

Only the readable opening rows of the sheet are plotted (30 September through 8 November 2005), not the full five-year dump. The last scorched row was omitted. Vendors M and G often carry the prior close into the next open; vendor T prints a distinct session open.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
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  14. 1994Constructing entry and exit on a relative-strength MACD
  15. 1994Constructing a relative-strength MACD crossover spreadsheet
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  19. 1997Moving-average windows before crossovers and MACD
  20. 1999Second-stage MACD on relative-strength inputs
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  23. 2001Second-low confirmation with a percentage oscillator and money-flow filter
  24. 2001Constructing MACD from exponential average spreads and a signal line
  25. 2002Separate bounded and trend-following oscillator rules
  26. 2002Sort the regime before assigning MACD and stochastic jobs
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  28. 2002Weekly highs and lows as trend gates
  29. 2002Constructing channel-normalized Fisher reversal signals
  30. 2002Affine-price and the Fisher transform as a constructed companion to MACD
  31. 2003Regularized EMA construction with a MACD line and a thrust oscillator
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  33. 2003MACD, moving averages, and a trend filter as one timing system
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  36. 2004Candlestick triggers filtered by MACD divergence
  37. 2004Staging energy-complex tops with trendline, breakout, and MACD
  38. 2005Selling climax holds versus fails
  39. 2006Treat a sideways Wave as permission before a breakout
  40. 2007MACD with a Stochastic oscillator for spotting trend reversals
  41. 2007Rebuilding an S&P 500 fifth-wave count after a broken target
  42. 2007Constructing MACD, RSI, and stochastic confirmation for futures
  43. 2007MACD histogram divergence needs a confirming close
  44. 2007Write the plan as a stack: ratio, boundary, then oscillators
  45. 2008MACD divergence and Stochastic oscillator confirmation on lumber futures
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  47. 2008Confirm the ten-bagger launch path before the MACD exit
  48. 2008Reading the offloaded evidence file
  49. 2008A Leader companion for MACD direction warnings
  50. 2008Relative strength exits with MACD averages and RSI
  51. 2008Assign one job per indicator in a three-screens rule set
  52. 2008Sequencing RSI, MACD, and average crossovers
  53. 2010Constructing the Schaff Trend Cycle from MACD and a dominant-cycle window
  54. 2010Schaff Trend Cycle as a MACD and Stochastic oscillator combination
  55. 2010Combining Relative Strength Index, the stochastic oscillator, and MACD as slope filters
  56. 2010Short-term wave and ratio clues without direction calls
  57. 2010A precise pullback entry and an unplanned profit-protection exit
  58. 2010Filtering MACD false signals with trendline breaks
  59. 2011Vendor feeds as an input variable in a MACD evaluation
  60. 2012Out-of-the-money versus in-the-money option sensitivity to implied volatility
  61. 2012MACD window tuning as hold-time control
  62. 2012Combining a moving-average crossover with MACD and support-resistance
  63. 2012Testing a published MACD entry with a histogram and signal-line agreement filter
  64. 2012Treat sample systems as a lab before live rules
  65. 2013Constructing moving averages and MACD from one price series
  66. 2013The next-bar price that forces a MACD signal-line cross
  67. 2013Constructing next-bar MACD reversal prices
  68. 2013Constructing inverted MACD reversal prices
  69. 2014Shared-filter combinations of the stochastic oscillator, MACD, and RSI
  70. 2014Square-root lookbacks for combined MACD and RSI
  71. 2015Audit open interest and trend before trusting oscillator crossovers
  72. 2016MACD without a signal line, confirmed by moving-average trend filters
  73. 2016Use RSI, MACD, and a moving average as a market-health consensus
  74. 2016MACD line versus histogram is a display problem first
  75. 2017Weekly and daily MACD on a single daily chart
  76. 2017Weekly and daily MACD as a stacked momentum filter
  77. 2017Nested weekly and daily MACD from paired EMA spreads
  78. 2018Weekly and daily PPO scale versus MACD, with bounded RSI and stochastic readings
  79. 2018Constructing a weekly and daily percentage price oscillator
  80. 2020Constructing Wyckoff tape reading with MACD, moving-average, and RSI filters
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