Amsterdam & Barcelona

Nigelvan derLaan

I read order flow, and I build the tools I kept wishing existed.

Discretionary trader working from cumulative delta, footprint and volume profile. Biological psychology and neuroscience before that — which turned out to be the more useful half of the education.

DojiPad What I build
BidAsk
412388
3011,204
566489
1,8421,779
2,110402
734651
288310
FootprintDelta −1,940

What I build

DojiPad

An AI trading coach, built inside ARQNXS. DJ sits with you during the session, predicts how you specifically are about to behave, and scores itself in public when it's wrong.

FounderARQNXS

The engineering company underneath everything else. Machine learning architecture, licensed out and built in-house since 2017.

Founder & CTOQuantNexus Capital

Systematic strategies run as managed vaults. Rules written once, executed without me in the loop.

FounderOrderflow Pro

Real-time order flow analytics for Binance spot and futures. VWAP, liquidity levels, CVD, open interest and trend confluence on one screen.

Tool

How I read a market

Price tells you where. Order flow tells you who, and how badly they wanted it.

I trade from the tape. Cumulative volume delta, footprint, volume profile, open interest — aggression against absorption, and where size actually changed hands rather than where a candle happened to close.

None of that is a system. It's a way of seeing, it takes years, and it still fails on the days you're tired.

Which is the part nobody sells you. I studied biological psychology and neurosciencebefore I traded a single contract, and the thing that keeps surfacing is that a trader's edge dies at execution, not analysis.

You knew the level. You moved the stop anyway. That gap is behavioural, it is measurable, and it is specific to you — which is the entire premise DojiPad is built on.

So: read flow, then read yourself. In that order, every session.

The story

I read Biological Psychology at the Vrije Universiteit Amsterdam, then went on to Neuroscience at the CNCR and a second track in Genes in Behaviour and Health. I finished neither master's. I'd worked out by then that I liked shipping working software more than pipetting samples.

ARQNXS started in 2017 as a healthcare sensor company. It became a fintech and machine learning shop because that was where the problems I actually wanted to solve turned out to be. Everything since has been the same instinct pointed at a harder market.

  1. 2017ARQNXS founded

    A vision for the healthcare industry through innovative sensor solutions. That was the whole idea at the start.

  2. 2018Healthcare & technical division

    Community-based technology and government-focused medical aid. The first time the work touched public infrastructure.

  3. 2022Fintech

    Traditional financial services rebuilt on a biopsychological foundation — the first serious use of the science degree.

  4. 2023AI / ML division

    A dedicated division to put machine learning across every industry the company already worked in.

  5. 2025 — NowDojiPad

    The behavioural engine turned on the one market participant nobody was modelling: the trader.

Track record

Since
2017ARQNXS founded
Volume processed
1B+Through ARQNXS infra, 2025
Largest team led
13Engineers, FinTech build
Max seed raised
$600kSintryx, 2021, closed in 10 days
Languages
3Dutch, English, Spanish
  1. Founder & CTO — ARQNXS2017 — Present · AI & DeFi architecture

    Institutional-grade AI and DeFi architecture. I built the full signal-to-execution system connecting on-chain analytics, Enzyme vaults and GMX execution layers — the architecture now licensed to ARCrypto. Alongside it, AI procurement, NLP automation and quantitative optimisation frameworks for research and asset management.

    • Complete DeFi signal → Enzyme → GMX execution pipeline
    • 1B+ trading volume processed through ARQNXS infrastructure (2025)
    • ML chatbot framework handling 1M+ requests per minute
    • 95% NLP accuracy on production systems
    • 800% efficiency improvement in automated trade execution
    • PhD-level portfolio optimisation framework
    Signal architectureEnzyme × GMXPortfolio optimisationScalable cloud systems
  2. Architecture licensor — ARCrypto2024 — Present · Multi-chain DeFi

    ARCrypto runs on ARQNXS architecture under licence. I built the DeFi execution core and the client-facing layer on top of it — analytics dashboards, performance trackers, financial calculators and the proprietary Risk Profiling Tool used for investor onboarding — then handed operations over. I hold no officer role there.

    • Suite of DeFi dashboards and client tools built on ARQNXS core
    • Proprietary Financial & Risk Profiling Tool for investors
    • Scaled to €4M+ Series A with multi-million position management
    • Institutional-grade security and uptime maintained
    Architecture licenceRisk profilingDeFi UXClient onboarding
  3. Information Analyst — Dutch Government2022 — 2023 · Government technology

    Led a development team delivering solutions for government operations, optimising processes through Python and SPARQL while putting DevOps practice in place.

    • Led cross-functional development team
    • Operations optimised with Python and SPARQL
    • CI/CD pipelines implemented
    • Government solutions delivered end to end
    PythonSPARQLDevOps
  4. Chief Technology Officer — Sintryx2021 — 2022 · FinTech startup

    Built a full FinTech platform leading a team of 13 across an NFT marketplace and DEX. Engineered the smart contracts and closed a $600k seed round.

    • Led team of 13 engineers
    • NFT marketplace and DEX built
    • $600k seed funding raised
    • AI-optimised smart contracts deployed
    Smart contractsTeam leadershipProduct architecture
  5. Senior Python Developer — GMU2021 · Financial technology

    ML and deep learning models for financial analysis, plus GUI-integrated trading bots. Managed a $100k fund portfolio with optimised strategies.

    • ML/DL financial models built
    • $100k portfolio managed
    • Automated trading systems created
    • Strategy optimisation implemented
    Machine learningTrading botsFinancial analysis

Stack

AI & Machine Learning

TensorFlow95Deep learning & neural networks
OpenAI92GPT integration & fine-tuning
PyTorch90Research & production ML models
HuggingFace88Transformer models & datasets
LangChain85LLM application development
MLflow85ML lifecycle management

Backend & APIs

Python95Primary development language
TypeScript92Type-safe JavaScript development
FastAPI90High-performance API development
Node.js88Server-side JavaScript
Django85Full-stack web applications
GraphQL80Efficient API query language

Frontend

React95Modern UI development
JavaScript95Core web development language
HTML / CSS92Web fundamentals
Tailwind CSS90Utility-first CSS framework
Next.js88Full-stack React framework

Data & Analytics

SQL95Database querying & optimisation
PostgreSQL90Advanced relational database
Pandas88Data manipulation & analysis
R85Statistical analysis & modelling
SPARQL80Semantic web data queries

Blockchain & Web3

Solidity90Smart contract development
Hardhat88Smart contract testing & deployment
Ethers.js87Ethereum blockchain interaction
Web3.js85DApp frontend integration
Rust75High-performance blockchain apps

Cloud & DevOps

Docker90Containerisation & deployment
Linux88Server administration & scripting
AWS85Cloud infrastructure & services
Azure82Microsoft cloud platform
GCP78Google cloud services
Kubernetes75Container orchestration

33 technologies · Read it as a volume profile. Depth is where the hours went, not a certification.

Open source

ContributionsLess More

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Currently

  • Opening DojiPad to testers. Small group, direct line to me, no waitlist theatre.

  • Publishing the track record. Every behavioural prediction DJ makes, scored and public — hits and misses.

  • Filming the order flow series. Long-form, three pillars: the product, the neuroscience, and reading the tape.

  • Friday mornings are for papers. Current rabbit hole: homomorphic encryption for secure federated learning.

Reach me

If you trade,
build, or allocate
— write to me.

I answer my own email. Traders wanting access to DojiPad write to the product inbox, engineers and allocators write to me directly.

Trader accessEmailLinkedInXDojiPad