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Portrait of Alex Anyega

Alex Anyega

Founder & Head of Research

Quantitative researcher and full-stack engineer. Builds systematic trading systems on XAUUSD, the validation infrastructure that tests them, and the execution stack that runs them. Founded Tickflow Capital in January 2026. Built to run the firm's internal trading account with the same tools the firm ships.

Full validation record, including the failed window and the holdout results, is published on the homepage.

Based in
Nairobi, Kenya

Experience

Founder & Lead Engineer

Jan 2026 – Present

Tickflow Capital · Nairobi, Kenya

Founded a quantitative research and trading technology firm. Designed and built the full stack: the validation engine, the pre-trade risk framework, the execution bridge, and the analytics dashboard. Runs the internal trading account with the same tools the firm ships, once live trading begins.

  • Designed and shipped the walk-forward validation engine, the pre-trade risk framework, and the execution bridge. Full performance record, including the failed window and the holdout results, is published on the homepage.
  • Authored and open-sourced Tickflow Intelligence (MIT licence): an AI stock intelligence platform combining LSTM directional prediction with FinBERT-based sentiment analysis. Full REST API with authentication, rate limiting and Swagger documentation.

Full-Stack Developer

Oct 2021 – Present

Digital Dynamo Kenya · Kenya

Production web applications and machine-learning integrations across fintech and data products. Focused on performance, data pipelines, and end-to-end delivery from architecture to deployment.

  • Standardised CSS/HTML across 50+ pages via a reusable component design system. Bounce rate reduced by 15%; customer satisfaction lifted from 3.2 to 4.8 out of 5.
  • Organic search grew from 10,000 to 15,000 monthly visitors (50% YoY), with click-through rate improving from 2.1% to 2.9%.
  • Page load time reduced from 3.2s to 2.1s via image compression, WebP conversion, lazy-loading and code splitting.
  • Mentored 3 junior developers through code review and pair programming. Team velocity +25%, bug-introduction rate −40%.

Blockchain Software Developer

Feb 2025 – Sep 2025

Vyudu Inc. · United States (Remote)

Architected an API orchestration framework with multi-layer fallback, rate-limit resilience, and cost governance for blockchain infrastructure.

  • Designed priority-based routing with fallback chains across cache, database, model, and fail-safe layers.
  • Implemented cost governance for third-party providers with automated budget enforcement.
  • Built rate-limit-resilient handling with exponential backoff for provider throttling. Reached 100% test coverage on orchestration components with pytest.

Skills

Quantitative research

  • Walk-forward validation
  • Monte Carlo simulation
  • Bootstrap confidence intervals
  • Risk-adjusted metrics
  • Backtesting frameworks

Programming

  • Python (5+ years)
  • JavaScript / TypeScript
  • SQL
  • HTML5 & CSS3

Frameworks

  • React / Next.js
  • Django / FastAPI
  • Node.js / Express
  • D3.js / Chart.js
  • Tailwind CSS

ML & data

  • PyTorch / TensorFlow
  • FinBERT / spaCy / Hugging Face
  • Time-series analysis
  • Bayesian optimisation
  • SHAP explainability

Infrastructure

  • Docker / Kubernetes
  • AWS (EC2, S3, RDS, CloudFront)
  • Cloudflare (CDN, Tunnel, DDoS)
  • CI/CD (GitHub Actions)
  • Prometheus / Grafana

Data engineering

  • PostgreSQL (5+ years)
  • Redis (3+ years)
  • Dask / Celery
  • Pandas / NumPy
  • Firebase

Projects

TIES - Trading Infrastructure & Execution System

Event-driven backtesting and validation engine, sequential pre-trade risk framework, execution bridge with preflight validation and fill reconciliation, and an append-only audit log with trace-ID correlation. Built to run the firm's own capital.

See the validation record
Python PostgreSQL Redis Docker MT5 bridge

Tickflow Intelligence

Open-source AI stock intelligence platform. LSTM neural networks for directional prediction, FinBERT for financial-news sentiment, and a hybrid model combining both with technical indicators. Full REST API with authentication, rate limiting and Swagger documentation.

Live demo  ·  Source
Django React PyTorch FinBERT MIT

Published research

Walk-Forward Validation for Systematic Trading

Rolling-window methodology, statistical significance testing, and Monte Carlo analysis for detecting overfitting before live deployment.

Read article
Methodology Statistics

Operational Security for Trading VPS

SSH hardening, firewall configuration, secrets management, Docker isolation, and remote kill-switch design for algorithmic trading infrastructure.

Read article
Security Infrastructure

Education & certifications

BSc Computer Science
Maasai Mara University · Narok, Kenya
2021 – 2025 · Second Class Upper Division
Relevant coursework
Data Structures & Algorithms · Machine Learning · Database Systems · Statistical Analysis · Distributed Systems · Computer Networks
Certifications
Google Analytics 4 · Google Digital Garage
2023

Get in touch

Open to conversations on quantitative research, systematic trading infrastructure, or engineering collaborations.