Roman Kurnovskii
romankurnovskii.com
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EN Reinforcement Learning for Trading - A Hands-On Journey from Synthetic to Real Bitcoin
Step-by-step walkthrough of reinforcement learning for trading. Build a Q-learning agent in plain NumPy, verify it learns mean-reversion on synthetic data, then run the identical code on 20,000 real BTC/USDT 15-min bars from Bybit - and discover why
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EN Anatomy of a High-Converting Landing Page in 2026
A technical reference and structural blueprint of the 12-section high-converting landing page anatomy. Explains how to align layout design with conversion psychology (Trust, Belief, Decision) and includes a reusable AI Agent skill to scaffold the template
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Report
Neuro-Bayesian Architecture in Economic Modeling: Overcoming Agent System Limitations via Latent Variable Integration
A study on Neuro-Bayesian Monte Carlo (NB-MC) methodology, integrating LLM semantic capabilities with Bayesian inference to process multimodal economic data.
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EN Trading Dynamics & Copy-Trading Feasibility on Pump.fun: A Quantitative Study of Solana Bonding Curves
An in-depth quantitative research paper exploring automated bot behaviors, constant-product bonding curve mechanics, and the practical feasibility of copy-trading on Solana
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EN How to Create Permanent Test Accounts for App Store Reviewers with Supabase
Learn how to create permanent demo accounts for App Store reviewers when using Supabase authentication with Magic Links or OTP. Use PostgreSQL triggers to set predictable authentication tokens.
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