Data layer
Acquisition, normalisation, integrity checks, symbol specifications, and reproducible datasets.
Independent quantitative research lab
Engineering trading systems that can be questioned.
Hybrid AI Labs develops modular algorithmic trading systems, MetaTrader 5 research tools, and disciplined backtesting workflows. The goal is not a perfect story—it is a system whose assumptions, data, and behaviour can be inspected.
RESEARCH SYSTEM / 001
Tick data
Hypothesis
Controls
H/AI LABS
VALIDATION IN PROGRESS
01 / POSITION
Research first. Claims later.
Algorithmic trading is an engineering problem before it is a performance chart.
Data provenance, market assumptions, execution mechanics, parameter sensitivity, and regime dependence all shape what a backtest can—and cannot—support. Hybrid AI Labs builds around that reality.
Read our data and testing methodology02 / FOCUS
One research stack. Four disciplines.
Each discipline strengthens the others: cleaner inputs, clearer modules, more demanding tests, and better-documented decisions.
01
Trading-system research
Rule-based strategies are decomposed into explicit signal, execution, position-management, and risk modules that can be tested independently.
Explore ↗ 02Data & backtesting
Tick-level workflows, data-quality checks, and realistic test assumptions help expose where a result is sensitive to the simulation.
Explore ↗ 03Research engineering
MetaTrader 5 and MQL5 are the current execution environment, supported by modular tools for experiments, diagnostics, and repeatable analysis.
Explore ↗ 04AI-assisted analysis
AI is explored as a research aid for structured analysis and tooling—not as a substitute for evidence, controls, or human review.
Explore ↗03 / PLATFORM
Modular by design.
Research layer
Explicit hypotheses, strategy modules, parameter definitions, experiment configuration, and diagnostics.
Execution layer
Order handling, position state, risk constraints, and platform-specific behaviour in MetaTrader 5.
Review layer
Robustness checks, failure analysis, documented limitations, and evidence for the next iteration.
04 / LABS
Current work, honestly framed.
Availability varies by project and is stated explicitly. No listing represents validated trading performance.
Hybrid AI
A modular initiative examining how specialised analysis, structured market context, and explicit system controls can work together.
LSW EA
An Expert Advisor research project focused on systematic behaviour, execution logic, risk-aware architecture, and testability.
TickArk
Historical tick-data infrastructure for acquiring Dukascopy/JForex data, verifying and repairing repository integrity, and preparing broker-aware MetaTrader 5 exports.
Visit project website05 / INSIGHTS
Research notes, without the theatre.
Practical notes on data quality, MetaTrader 5 backtesting, strategy validation, and research engineering.
Data & methodology · 8 min read
Why tick data changes what an MT5 backtest can tell you
Real ticks, generated ticks, spread behaviour, and the limits of simulation.
Quant research · 10 min readA practical validation framework for trading systems
From hypothesis and data audit to sensitivity analysis and documented failure modes.
06 / CONTACT
Serious questions deserve careful systems.
For research, engineering, product, or partnership enquiries.
[email protected]