About eXpeed Research Lab

eXpeed Research Lab is an independent quantitative research initiative operated by eXpeed IT Solutions Co., Ltd., focused on liquidity behavior in the FX market. Our objective is to statistically evaluate ICT-based market structure using multi-year historical session data — not to predict the market, but to understand how it actually moves.

How this project started

eXpeed didn’t start out as a research lab. The company’s roots are in computer hardware import and export. That changed around 2017, when the crypto boom pulled us into trading almost as a side curiosity. During the pandemic we moved into selling BTC mining hardware, and somewhere along the way trading itself quietly became the core of the business. Today the focus has shifted to FX — currencies, BTC, and metals — and to building the EAs and indicators behind it.

Like a lot of retail traders, we went through a long phase of buying data feeds, paid indicators, and “proven” systems that never quite delivered. That frustration eventually led us to ICT concepts on YouTube, and we studied them obsessively — at one point spending three years translating ICT videos without placing a single trade, and compiling what became a roughly 1,000-page personal reference document.

But we could never fully translate ICT’s more qualitative, discretionary entries into something we could execute consistently ourselves. That gap — and the question of what liquidity actually means, in numbers — is what pushed us to start measuring and analyzing the market on our own terms. From there, AI became a daily research partner, and one model led to another until statistics, distributions, and forecasting became something we were genuinely into, not just tools we used.

Research philosophy

That’s also why this site leans so heavily on rule-based statistics rather than discretionary calls. We wanted something we could test, repeat, and be wrong about in a measurable way — not a feeling. Only observable, recurring behavior is considered here; execution logic and discretionary judgment are intentionally left out of the public research.

Models get built and rebuilt constantly, usually the moment something catches our eye on a chart. Indicators are tweaked almost daily. Plenty of ideas fail; a few hold up — what ends up published here is the surviving, testable core of that process.

(Behind the scenes, a set of currency-specific EAs runs under a Portfolio Guard system strict enough that even we can’t touch it anymore — which is either good discipline or a sign we don’t fully trust ourselves. Probably both.)

Where this is heading

The current goal is to turn this research into indicators simple enough for beginners to read, while still offering a genuine statistical edge in seeing what’s likely to happen next. It’s an ambitious goal — maybe too ambitious — but it’s the direction we’re building toward.

— R9, eXpeed Research Lab

Stay in touch

We post research updates and chart breakdowns regularly on X, and longer walkthroughs on YouTube. If you’re following along or have a question about the research, we’d love to hear from you.

X: https://x.com/eXpeed0
YouTube: https://www.youtube.com/@eXpeedResearchLab
Email: researchlab@expeed.co.jp

Research Focus

• Session-based liquidity behavior
• London raid and NY continuation
• Market structure shift (MSS) analysis
• Fair Value Gap (FVG) behavior
• Weekly Open interaction probability
• True Order Block determination method

Data Scope

Primary instruments: GBPUSD, EURUSD, XAUUSD, BTCUSD
Timeframe: M5
Sample period: 2019–2026
Methodology: Rule-based historical session analysis

Disclaimer

This content is provided for informational and educational purposes only. Nothing on this website should be considered financial advice, trading advice, or a solicitation to buy or sell any financial instrument. Trading involves substantial risk and is not suitable for all investors. Past performance does not guarantee future results. The models and observations presented are based on historical data and probabilistic behavior, and may not reflect future market conditions. Users are solely responsible for their own trading decisions.

This research emphasizes structural observation over prediction. Only recurring liquidity behavior is considered. The framework continues to evolve.

R9 by eXpeed Research Lab