THE PERSON BEHIND THE LIBRARY
Curiosity,
made useful.
I’m Youp, the creator of YDLib. I build tools for trading research, software development and learning. This library brings those interests together: collect evidence, ask a precise question, test it, and keep the reasoning inspectable.
MY WORK
Research meets software.
My focus is algorithmic trading, quantitative analysis and practical research tools. I work across Python and MetaTrader 5, turning questions into experiments and reusable applications.
YDLib is a place to connect the sources, observations and tests behind a decision, and to share selected findings without exposing private strategy logic.
WHAT GUIDES IT
Show the reasoning.
Keep probabilities separate from trading strategies. Preserve the assumptions behind the numbers. Make room for findings that fail a test.
The aim is a useful workspace for thoughtful research, rather than a promise of trading returns.
Read the journal →SELECTED WORK · AN EVOLVING TIMELINE
From questions to working tools.
- Research foundation
Trading studies & experiments
Probability studies, strategy validation and reproducible analysis across Python and trading platforms.
ONGOING RESEARCH - Workspace
YDLib
A connected library for sources, videos, research, signals, strategy results and personal notes.
INVITE-ONLY PLATFORM - Analysis tools
Testing & prop evaluations
Tools for exploring rules, statistical results and simulated account constraints.
TOOLS WITH EXPLICIT ASSUMPTIONS - Learning & distribution
Journal, courses & MT5 catalogue
Public research writing, practical learning paths, and a catalogue designed to present algorithm evidence responsibly.
JOURNAL LIVE · MARKETPLACE PREVIEW