Accursed Galaxy | Robin

@AccursedGalaxy · User

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Building open source tools for developers and traders. Go + Python. Crypto on-chain data, AI-assisted git workflows, CLI utilities.

12 followers63 repositories

Repositories

AccursedGalaxy/wasserstein-btc

Distributional crypto-return forecasting via Wasserstein-geodesic extrapolation in quantile-function space. WGeo family wins 12/12 (asset × horizon) cells over 6.75y walk-forward CRPS vs GARCH and classical baselines. v0.4.

★ 4PythonForks 0

AccursedGalaxy/omarchy-auto-theme

Dynamic wallpaper-based theming for Omarchy 4.0 — matugen extracts a Material You palette from your wallpaper and renders a native Omarchy theme for your whole Hyprland desktop. Like pywal/wallust, built on Omarchy's theme engine.

★ 7ShellForks 0

AccursedGalaxy/awesome-omarchy-3

A curated list of Omarchy themes. Discover, share, and contribute to a growing collection of themes for Omarchy—all in one place. Inspired by other awesome lists, this repository helps users explore and enhance their Omarchy experience with beautiful, community-driven themes.

★ 0Forks 0

AccursedGalaxy/Insider-Monitor

Solana Wallet Monitor: Track wallet activities, detect insider trading & balance changes with real-time alerts. Open-source blockchain monitoring tool.

★ 38GoForks 7

AccursedGalaxy/yq

yq is a portable command-line YAML, JSON, XML, CSV, TOML, HCL and properties processor

★ 0Forks 0

AccursedGalaxy/driver-os

Verifiable coding-agent harness in Go: external test gates, typed outcomes, sandboxed execution, multi-model providers, and signed proof bundles.

★ 0GoForks 0

AccursedGalaxy/discord-dca-signal-bot

Discord DCA Signal Bot is an open-source bot that provides automated Dollar Cost Averaging (DCA) and Take Profit signals for various cryptocurrencies in Discord servers. Built with Python and CoinMarketCap API.

★ 3PythonForks 0

AccursedGalaxy/awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

★ 0Forks 0

AccursedGalaxy/scanner

This project aims to analyze the trading volume of various cryptocurrency pairs on exchanges. It uses the CCXT library to fetch historical OHLCV (Open/High/Low/Close/Volume) data and performs volume analysis to detect spikes or unusual activities.

★ 0PythonForks 1