research project
IBVWAP · market microstructure
A finance-student research terminal for VWAP benchmarking, intraday liquidity analysis, and recorded signal-quality review.
research overview
IBVWAP Terminal
Market Microstructure & VWAP Research Platform
Intraday data · Research analytics terminal
Michael Nguyen
UQ BAFE · Brisbane
Research validation
AbstractIBVWAP was built to test whether published market microstructure concepts can be translated into a structured intraday research framework. The platform applies VWAP as an execution benchmark, combines it with Initial Balance and price-volume context, and evaluates recorded signal outcomes using drawdown, R-multiple distribution, attribution and regime-sensitivity dashboards.
This terminal displays a recorded signal dataset spanning historical and live-observation phases. Observations prior to December 15, 2025 are historical research data included for full-sample context. From December 15, 2025 onward, the platform records bar state, execution markers and outcome data from an automated research framework. The since-inception figures are used to evaluate process quality, risk and signal reliability rather than to promote trading performance.
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Research Methodology
The Initial Balance is treated as an early-session price-discovery range. It provides a consistent reference window for studying how liquidity, volatility and directional participation change after the market leaves an initial auction area. IB boundaries are not treated as predictions; they are structural levels used to classify recorded intraday observations.
VWAP is used as an execution benchmark and fair-value reference rather than as a standalone trading signal. The framework studies whether price behaviour around VWAP after an Initial Balance break contains useful information about liquidity acceptance, price-volume alignment and signal reliability across different market regimes.
Outcomes are evaluated through risk and signal-quality analytics: drawdown, R-multiple distributions, rolling outcome paths, entry-hour effects, weekday effects, Initial Balance width buckets, break-even behaviour and directional attribution. This keeps the project centred on research discipline, data quality, process review and regime sensitivity instead of headline returns.
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Academic Foundation
Admati & Pfleiderer (1988) show that informed participants and liquidity providers cluster into predictable intraday windows, creating recurring volume and volatility patterns around session transitions. The IB captures the low-information phase; the breakout aligns with when directional institutional flow arrives. That timing is structural, not coincidental.
Moskowitz, Ooi & Pedersen (2012) document statistically significant time-series momentum across liquid markets, including equity index futures. An asset that recently broke a defined range tends to continue in that direction over intraday horizons, especially when the breakout is confirmed rather than immediately faded. Brock, Lakonishok & LeBaron (1992) further show that range-boundary rules can contain information not fully explained by autocorrelation alone, which motivates treating IB boundaries as research reference levels rather than discretionary opinions.
[1]Admati, A.R. & Pfleiderer, P. (1988). A Theory of Intraday Patterns: Volume and Price Variability. Review of Financial Studies, 1(1), 3–40.
[2]Moskowitz, T., Ooi, Y.H. & Pedersen, L.H. (2012). Time Series Momentum. Journal of Financial Economics, 104(2), 228–250.
[3]Brock, W., Lakonishok, J. & LeBaron, B. (1992). Simple Technical Trading Rules and the Stochastic Properties of Stock Returns. Journal of Finance, 47(5), 1731–1764.
[4]Kyle, A.S. (1985). Continuous Auctions and Insider Trading. Econometrica, 53(6), 1315–1335.
[5]Berkowitz, S.A., Logue, D.E. & Noser, E.A. (1988). The Total Cost of Transactions on the NYSE. Journal of Finance, 43(1), 97–112.
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About the Author
Michael Nguyen
B. Advanced Finance & Economics (Hons)
University of Queensland
GPA6.85 / 7.0ATAR99.75BasedBrisbane, AU
Finance student applying market microstructure research to live and historical intraday market data. Designed IBVWAP as a full-stack research and analytics terminal for VWAP benchmarking, Initial Balance behaviour, price-volume context, risk evaluation, signal-quality review and performance attribution across recorded observations.
linkedin.com/in/michaelmnguyenUniversity of Queensland · 2024–2027
EDUCATIONAL AND RESEARCH PROJECT ONLY. IBVWAP is not investment advice, not a financial product, and not a recommendation to buy, sell or trade any instrument. Any recorded outcomes are research observations used to evaluate process quality, risk and signal reliability. They should not be interpreted as investment results or evidence of expected future performance.