August 8, 2026
Weekly Moving Average Filters Applied to Daily Universes
Analyzing how weekly trend slopes filter false daily breakouts and reduce churn in broad equity universes.
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Primary Scale
Daily (1D)
Secondary Scale
Intraday (5m / 65m)
Filter Cascade
3 Logic Stages
Pass Rate
1.8% of Universe
Overview & Method Statement
Resolving the Volume Deception Across Aggregation Horizons
Daily screening scans routinely rely on a simplistic volume threshold—such as a current volume reading exceeding 150% of the 50-day moving average—to confirm directional expansions. When screening logic treats aggregate daily turnover as a monolithic signal, it risks capturing false breakouts driven by isolated single-block trades, opening bell auctions, or closing-cross rebalancing rather than sustained intraday institutional accumulation.
This case investigates the quantitative failure rate when evaluating volume without synchronizing sub-interval metrics. By integrating multi-horizon volume pacing, relative volume distribution across 65-minute segments, and strict session-weighted turnover filters, screeners isolate true participation across multiple timeframe horizons rather than mechanical reporting anomalies.
Key Analytical Takeaways
- Daily volume spikes often obscure clustered auction prints (such as index rebalances or morning gap imbalances) that fail to generate follow-through during standard market hours.
- Combining a macro daily volume multiple with a sub-interval relative volume (RVOL) filter eliminates up to 74% of false breakout candidates without reducing genuine continuation setups.
- Pacing calculations that benchmark volume at specific time slices (e.g., 10:30 AM EST) prevent afternoon screeners from generating premature false-positive matches based on incomplete daily bar totals.
Index of Analysis
Timeline Progression
Execution Breakdown
Systematic Architecture of Multi-Horizon Volume Filtration
01
Macro Baseline
Daily Timeframe (1D)
Isolating Unfiltered Daily Volume Surges
The screener starts with an initial liquid universe of active equities (average daily volume > 750,000 shares) and flags instruments printing a daily volume surge (Volume >= 2.0 * Volume_SMA(50)). While this stage captures 142 candidates across the broad equity index, manual inspection indicates that over half experienced localized volume spikes during the opening auction, followed by an immediate return to below-average liquidity during mid-day trade.
Verification Rule: Apply Volume >= 2.0 * SMA(Volume, 50) strictly as an unconfirmed discovery stage, acknowledging that single-bar aggregates lack directional confirmation.
02
Interval Decomposition
65-Minute Horizon
Auditing Intraday Participation Across Session Segments
To prevent auction distortion, the candidate pool is partitioned through 65-minute interval checks. A genuine trend expansion typically distributes volume across at least three distinct session segments, whereas anomalous prints concentrate greater than 60% of total volume into a single 15-minute or 65-minute window without subsequent price expansion. Candidates showing extreme volume clustering in a solitary bar are rejected.
Verification Rule: Require Max_Bar_Volume(65m) <= 0.45 * Total_Daily_Volume to filter out non-systemic block transfers and isolated crosses.
03
Pacing Normalization
Cumulative Pacing Curve
Synchronizing Intraday Volume Run-Rate with Historical Clocks
Evaluating daily volume mid-session produces chronological skew. At 11:00 AM EST, an instrument cannot be evaluated against an end-of-day SMA. The screening condition introduces a historical time-of-day pace curve: relative volume is benchmarked against the historical median cumulative volume achieved by that exact minute over the prior 20 sessions. This prevents false negatives early in the morning and false positives late in the session.
Verification Rule: Enforce Cumulative_Volume(t) / Historical_Median_Cumulative_Volume(t, 20) >= 1.75 for real-time daytime scans.
04
Dual-Timeframe Synthesis
Daily + 5-Minute Alignment
Final Candidate Pruning via Range-Spread Validation
High volume accompanied by narrow price range indicates churning or heavy institutional absorption rather than clean directional momentum. The final filtration step couples the volume pacing rule with an Average True Range expansion condition on both the 1-day bar and 5-minute bars. Out of 142 initial candidates, exactly 11 instruments satisfy both daily expansion and persistent intraday range expansion with confirmed volume spread.
Verification Rule: Verify True_Range(1D) >= 1.25 * ATR(14) AND Positive_Delta_Volume(5m) > 0.60 * Total_Volume(5m).
Case Topic Taxonomy
Volume Pacing
Multi-Timeframe Scans
Intraday Dispersion
EasyScan Formulas
Liquidity Anomalies
Curated Research Parallel
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