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Project Library
Explore detailed project notes
Each card opens a dedicated sub-page with the same neon theme as the main landing page—carrying forward descriptions, tags, highlights, and resources for trading, development, and research work.
Trading Results
Performance reports OMS/EMS.
Open a sub-page to read the descriptive note, see tags, and follow resource links.
Development
Infrastructure, analytics, and research tooling.
Open a sub-page to read the descriptive note, see tags, and follow resource links.
Infrastructure
Nott
Modern C++/CUDA deep-learning framework, focused on fast prototyping, explicit control over kernels, memory layout, and runtime execution.
RESEARCH
Arxiv Sanity Preserver
WebApp for ArXiv papers fast-search via keywords and similarity (Developed from Karpathy's version).
ANALYTICS
Pallas
Trading Web-Dashboard for real-time analytics.
Server
Hermes
Homelab for Database/Experiments
C++ Library
Dodo
Single-header C++20 failure-handling framework for low-latency, deterministic, and reliable systems.
ULTRA-LOW LATENCY TELEMETRY
Latte Telemetry
Header-only C++ telemetry framework for nanosecond-scale profiling in real-time systems.
C++ PLOTTING LIBRARY
Sepia Charts
C++ plotting library focused on 2D chart APIs with SVG/HTML rendering.
Research Notes
Strategy research, calibration work, and market microstructure studies.
Open a sub-page to read the descriptive note, see tags, and follow resource links.
SYSTEMATIC TRADING
Automated-Portfolio
Markowitz-based portfolio, quantitative asset selection with sentiment analysis.
SYSTEMATIC TRADING
Volume Impact
algorithm utilizing Square-root law and LOB-L2.
SYSTEMATIC TRADING
Market-Maker
Guilbaum-Pham and Guéant-Lehalle-al. model.
SYSTEMATIC TRADING
Trend-Surfer
Multi-scale, price-only trend-following system built around dynamical-frequency rates and trend lifecycle control.
CALIBRATION
Multi-Layer Ensemble Decision-Tree
ML model for classification of regime-switchs. To achieve better Discretionary-tool calibration.
RESEARCH
Satellite Cartography
ML model of multi-segmentation classification of satellite images