Market participation contains information before price reflects it.

A quantitative intraday breadth framework for identifying high-conviction long and short opportunities in the S&P 500.

Free TradingView access during public validation.

Rules-basedDirectionally neutralLow frequency
Participation field09:30–16:00 ET

Research

Market participation measures how broadly a market move is shared across individual stocks.

Two similar index moves can emerge from fundamentally different participation structures.

That observation became the starting point for our research.

Across multiple market regimes, we identified persistent structural patterns associated with a higher probability of directional continuation.

Those findings were translated into the systematic framework behind Intraday Edge.

Methodology

The framework continuously transforms market participation into objective trading signals.

01

Measure

Monitor market participation across U.S. equities.

02

Model

Evaluate the magnitude and progression of participation.

03

Generate

Issue objective trading signals.

Performance

Systematic evaluation confirmed the original research hypothesis across more than fifteen years of market history.

That persistence was expressed through two systematic implementations with different levels of selectivity.

Flow

Higher-conviction implementation.

Selective
Win rate
70%
Signals
240+15 avg. / year
Years evaluated
15+
Target / stop
0.5% / 0.5%

Pulse

Broader implementation with increased signal frequency.

Expanded
Win rate
65%
Signals
380+24 avg. / year
Years evaluated
15+
Target / stop
0.5% / 0.5%

Published results are derived from historical strategy evaluation using the reference configuration; actual execution may differ. See the complete trade history and execution assumptions.

Selective market exposure

Selectivity is an intentional design principle.

Financial markets are highly competitive, so persistent opportunities are expected to be uncommon. Intraday Edge only deploys capital when market participation matches predefined conditions historically associated with continuation. As a result, the strategy remains uninvested most of the time, reducing unnecessary turnover, commissions, spreads, and slippage.

Flow · Time uninvested
~98%
Pulse · Time uninvested
~96%
Flow · Average hold
~6.7 hours
Pulse · Average hold
~9.5 hours

Average market exposure: approximately 2% for Flow and 4% for Pulse.

Performance during major market dislocations

Performance remained robust when markets were under stress.

Across sufficiently sampled periods, Flow and Pulse produced aggregate win rates of 76.6% and 76.5%—above their long-term historical averages.

Market periodFlowPulse
European debt crisisJul 2011 – Dec 201169.6%23 trades72.0%25 trades
China growth scareAug 2015 – Feb 201671.4%14 trades71.4%14 trades
COVID-19 market dislocationFeb 2020 – May 202083.3%18 trades80.0%20 trades
2022 bear marketJan 2022 – Oct 202279.5%39 trades79.5%39 trades

Evaluation windows were predefined before calculating performance statistics. Individual periods are shown only where each implementation generated at least 10 trades; all lower-sample periods remain available in the complete historical log.

Complete trade history

Every historical signal should be inspectable.

Trade-level records include timestamp, direction, entry, exit, and outcome.

Public validation

Verify the framework independently.

Intraday Edge is currently available at no cost during its public validation phase.

Access includes the TradingView strategy, allowing users to reproduce the historical results, inspect individual trades, and evaluate the framework using TradingView's Strategy Tester.

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Contact

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