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Nothing Ever Happens is an experimental open-source trading bot designed for the Polymarket platform that implements a deliberately simple and unconventional strategy: automatically buying “No” positions across non-sports binary prediction markets. The project is built in Python using asynchronous architecture, allowing it to monitor markets, evaluate opportunities, and execute trades continuously with minimal latency. Its core concept is based on statistical observations that a majority of...

MEV Ethereum Trading Bot is an Ethereum arbitrage project that combines a Solidity smart contract with external Python automation. The contract is designed to search for and execute swaps between approved Uniswap pools and routers in a single transaction. Owners can whitelist tokens and routers, configure fees and swap limits, pause execution, revoke approvals, and withdraw assets. The automation layer performs dry-run gas estimates before sending eligible transactions. It also monitors live...

rate.sx is a command-line-friendly cryptocurrency rate service designed to be queried with curl or a browser, returning clean text or minimal markup. It emphasizes human-readable output by default, with options for concise one-liners or richer summaries including sparkline-style ASCII charts. The service supports multiple coins, fiat conversions, and historical lookups so you can compare prices over time without leaving the terminal. Under the hood it aggregates price feeds and normalizes...

0xToken — Launch Your Own Token Creator Get the ready-to-upload 0xToken build. Deploy it on your domain, set your own fee wallet, and keep every cent of the creation fees — no coding required. 🔥Live Demo: https://0xtoken.net 🔥How to install: https://www.youtube.com/watch?v=OHTI7Ya052I

Catalyst is an algorithmic trading library for crypto-assets written in Python, originally developed to let quants and developers design, backtest, and deploy trading strategies in a unified environment. It builds on top of Zipline, extending that ecosystem to support crypto exchanges and high-resolution historical data (daily and minute bars). Users can express strategies in Python, run backtests against historical price data, and analyze performance through built-in metrics and analytics...