QTL Annual Membership

Build your quantitative research capability without starting from zero.

One annual membership brings together the QTL research framework, published strategy research, source code, historical backtest evidence, AI-assisted workflows, market intelligence and deployment resources developed across the QTL research programme.

Built from roughly two years of accumulated research and development — organised into one connected environment designed to help you investigate, test, understand and ultimately implement systematic trading ideas.

View Published Strategy Evidence

Annual access · Cancel future renewal through the billing portal

2
Published strategy research programmes
1,335
Historical trades across FlipBB + OS1
5
Connected member publications
104
Governed AI research prompts
30
Backtest-to-live deployment prompts
1 / month
Target new strategy research cadence
Annual Membership
£997/ year

Billed £997 GBP every 12 months, recurring until cancelled. Cancel any time — access runs to the end of your paid year.

Online checkout is being finalised. Contact us to arrange your membership.

You’ll create or sign in to your account before payment.

Research and educational content only. Trading involves risk. Historical and simulated results do not guarantee future performance.

What Your Membership Unlocks

Research infrastructure, strategy evidence and the tools to go from idea to implementation.

This is not access to a single strategy, book or course. QTL connects research, AI, code, backtesting, validation, publishing and deployment inside one governed workflow.

Research Terminal
Five connected member publications
AI Quant Blueprint
Research Operating System
104 governed AI research prompts
Backtest-to-live MT5 deployment prompts
FlipBB published strategy research
OS1 published strategy research
Source code supporting published strategy work
Historical trade and backtest evidence
Equity and drawdown analysis
Daily Quant Brief
Current market research
Implementation and deployment guidance
Ongoing strategy updates
New research released during active membership
Available Immediately

Two years of research, organised into a working system.

Instead of starting with an empty notebook, members enter an established research environment containing the workflows, publications, prompts, strategy work and deployment resources developed through the QTL programme.

Research Operating System

The governed workflow connecting hypothesis, evidence, validation, engineering and deployment.

AI Prompt Library

104 structured prompts supporting research, coding, challenge, validation and controlled deployment.

AI Quant Blueprint

A structured route through AI-assisted quantitative research, Python, backtesting, validation and implementation.

Field Manual

Operational research artefacts, working practices and supporting material for real research activity.

Technical Deployment Guide

A controlled pathway from research parity toward production implementation.

Backtest-to-Live MT5 Guide

Dedicated prompts and deployment guidance designed to help translate a researched and backtested system toward live MT5 implementation.

Published Strategy Evidence

Start with two historically backtested QTL strategies.

FlipBB and OS1 demonstrate the type of evidence-led strategy research published through the QTL process.

Members receive more than performance headlines: the research context, backtest evidence, methodology, implementation notes and supporting source code are provided where applicable.

QTL1 · Published Strategy

FlipBB

Historical research simulation

Historical Research
£10,000
Start Capital
£90,989
End Equity
43.3%
CAGR
4.8%
Max Drawdown
2.59
Sharpe
4.71
Profit Factor
67.1%
Win Rate
1,124
Trades
QTL2 · Published Strategy

OS1

Treasury-ledger historical backtest

Historical Research
£100,000
Start Wealth
£386,812
End Wealth
29.8%
CAGR
16.4%
Max Trading DD
1.79
Profit Factor
61.1%
Win Rate
286.8%
Total Return
211
Trades

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

Why Annual Membership?

Because the research programme keeps growing.

Membership begins with the current archive. It does not end there.

The QTL publishing programme targets one new fully backtested strategy research dossier each month, alongside current market research, strategy updates, publication revisions and member resources.

Daily Quant Brief

Structured current market intelligence, regime context and research observations.

Research Terminal

Your central member workspace for intelligence, publications, strategy monitoring and research access.

Research Vault

The growing archive of published QTL strategy research, supporting evidence and updates.

New Strategy Research

The publishing programme targets one new fully backtested strategy research dossier each month.

Strategy Updates

Ongoing research observations and updates sit alongside the original published research.

Current Research

New market research, publication revisions, downloads and member resources as the programme develops.

Research That Compounds

Join with today's archive. Build from there all year.

As the programme develops, active members gain access to new strategy research and subsequent updates released during their membership.

No Technical Background Required

You do not need to arrive as a programmer.

ChatGPT and other LLMs can explain concepts, generate and debug Python, interrogate performance results and translate plain-English research questions into structured quantitative workflows.

AI lowers the technical barrier. It does not lower the research standard.

From Research to Live MT5

The workflow does not stop when the backtest works.

QTL includes dedicated deployment material and prompts designed to help members work through the transition from researched strategy logic toward a controlled live MT5 implementation.

Translate backtest logic
Define execution behaviour
Check research-to-live parity
Build MT5 deployment logic
Test operational controls
Document deployment decisions
Explore the AI workflow
Research Standard

Evidence before promotion.

QTL research is built around explicit hypotheses, reproducible analysis, validation controls and documented limitations. Members see the research process rather than receiving an unexplained signal or performance headline.

Documented assumptions
Defined research windows
Backtest evidence
Drawdown and risk analysis
Validation and robustness controls
Implementation limitations
Explore the methodology
Annual Membership · £997

Join the current research archive. Build from there all year.

Access the Research Terminal, member publications, FlipBB and OS1 research, source code, backtest evidence, governed AI prompts, Daily Quant Brief, deployment guidance and future research released during your active membership.

Explore Published Research

Research and educational content only. Historical or simulated results are not reliable indicators of future performance.