Research Vault

Published quantitative
research.

The Research Vault contains Quant Trading Labs strategy research that has completed the publication process. Explore the evidence, methodology and historical results behind each published system.
Quant Trading Labs Research Vault with quantitative strategy research, validation material, code and documented research workflows.
Published Research

The current QTL strategy archive.

See the evidence behind published QTL systems. Review historical equity curves, drawdowns and detailed performance metrics before unlocking the research notes, source code and implementation resources with membership.

Performance Snapshot

Historical performance overview and detailed metrics for published QTL strategies.

+More strategies coming
QTL1 · Published Strategy

FlipBB

Systematic FX research built around first-flip behaviour, checkpointed path analysis and controlled trade management.

Illustrative £1/pip model
Jan 2020 – Mar 2026
Historical Equity Curve
Illustrative £1/pip model
£100k£80k£60k£40k£20k£02020202120222023202420252026£10,000£90,989
Drawdown Through Time
0%-1%-2%-3%-4%-5%2020202120222023202420252026

Historical research simulation derived from the underlying 1,124-trade FlipBB trade log using fixed £1-per-pip sizing from £10,000 starting capital. Sharpe and Sortino are annualised from the corresponding return series. Position sizing materially affects monetary returns and drawdowns. Historical or simulated performance does not predict future results.

This is only the performance layer

Members get the research behind the curve.

Research Notes

Concise methodology, research chain, validation context and limitations.

Source Code

Python strategy implementation and supporting research code.

Backtest Evidence

Historical performance analysis and supporting research evidence.

Implementation

Operational notes, limitations and ongoing strategy updates.

2 published research itemsLive archive