Methodology

Evidence-led research, transparently documented.

Six principles govern every publication we release, from data integrity and statistical validation to limitations and reproducible code.

Quant Trading Labs research methodology wall showing documented quantitative research workflow, statistical validation and publication standards.
Research Standards

Every conclusion must be supported by evidence.

Our methodology is designed to make every published strategy easier to understand, reproduce, challenge and evaluate independently.

Documented Assumptions

Every backtest states its data window, transaction-cost model, slippage assumptions and any survivorship or lookahead controls.

Reproducible Code

Complete research and implementation code is included where applicable so members can study how the published results were produced.

Standardised Metrics

CAGR, Sharpe, Sortino, maximum drawdown, profit factor and win rate are reported consistently across published strategy research.

Robustness Discussion

Where practical we discuss walk-forward behaviour, parameter sensitivity, regime dependence and the limits of the historical evidence.

Honest Limitations

Every dossier includes limitations and conditions under which the strategy may not be expected to behave as historical research suggests.

No Guarantees

Historical and hypothetical results are always distinguished from live outcomes. Past performance is not a reliable indicator of future results.

The Methodology in Action

The methodology is only credible if the results can be audited.

Published QTL strategies are accompanied by historical trade logs, equity curves, drawdown analysis, risk-adjusted metrics and documented assumptions.

The objective is not to present a headline return in isolation. It is to preserve enough evidence for the research to be examined, challenged and understood.

Verified Backtests

Evidence before publication.

Strategy results are reviewed against underlying trade or accounting records before being presented as published QTL research.

QTL1 · Published Strategy

FlipBB

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

Jan 2020 – Mar 2026
Illustrative £1/pip model
Historical Equity Curve
£10,000 starting research capital → £90,989
Historical Research
£100k£80k£60k£40k£20k£02020202120222023202420252026£10,000£90,989
Drawdown Through Time

Historical peak-to-trough decline through the test period.

0%-1%-2%-3%-4%-5%2020202120222023202420252026
Performance Metrics
£10,000
Start Capital
£90,989
End Equity
43.3%
CAGR
4.8%
Max Drawdown
2.59
Sharpe Ratio
17.65
Sortino Ratio
4.71
Profit Factor
67.1%
Win Rate
View Full Performance Metrics
Trades1,124
Avg Pips / Trade72.1
Median Pips / Trade24.8
Test Period6.1 years

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

QTL2 · Published Strategy

OS1

Multi-layer quantitative research framework combining strategy selection, portfolio construction, drawdown-aware capital allocation and treasury management.

Jan 2021 – Mar 2026
Treasury ledger backtest
Historical Equity Curve
£100,000 starting research capital → £386,812
Historical Research
£400k£320k£240k£160k£80k£0202120222023202420252026£100,000£386,812
Drawdown Through Time

Historical peak-to-trough decline through the test period.

0%-5%-10%-15%-20%202120222023202420252026
Performance Metrics
£100,000
Start Wealth
£386,812
End Wealth
29.8%
CAGR
16.4%
Max Trading DD
1.79
Profit Factor
61.1%
Win Rate
211
Trades
286.8%
Total Return
View Full Performance Metrics
Test Period5.2 years
AccountingTreasury ledger

Historical OS1 treasury-ledger backtest results. Historical or simulated performance is not live realised performance and does not predict future results.

Historical and simulated results are research outputs only. Past performance is not a reliable indicator of future results.

Members Get the Full Picture

Members don't just see the result. They get the research behind it.

Public pages show evidence and selected performance results. Membership unlocks the complete body of research that produced them.

Full Research Dossiers

Methodology, assumptions, validation, limitations and supporting research.

Complete Source Code

Research and implementation code supporting published strategy work.

Backtest Evidence

Trade logs, equity curves, drawdown analysis and robustness outputs.

Research Methodology

The structured framework used to turn observations into reproducible evidence.

Implementation Notes

Operational constraints, deployment logic and risk-management considerations.

Ongoing Updates

Subsequent strategy observations and research updates alongside the original work.

Unlock the complete research.

Join QTL to access published strategy research, source code, backtest evidence, methodology resources and ongoing strategy updates.

Join QTL — £997/year

Annual membership