Search Results for "gnu/linux"

Crypto Trading Bot is a JavaScript cryptocurrency trading bot that connects to multiple exchanges through the CCXT ecosystem. It is designed to experiment with automated trading logic across exchanges such as Bitfinex, BitMEX, Binance, and Bybit. The bot supports multi-pair operation, technical indicators, configurable strategies, and exchange order workflows. It aims to go beyond basic buy-and-sell signal bots by supporting more practical trading mechanics such as stop-loss or...

Kalshi Trading Bot CLI is an AI-driven command-line tool designed to automate trading strategies on Kalshi prediction markets by combining quantitative modeling with real-time market data. It operates by conducting deep research on events, generating independent probability estimates, and comparing those estimates against current market prices to identify trading opportunities. The system incorporates advanced decision-making logic, including Kelly criterion-based position sizing and a...

Jesse is an open-source AI agent framework designed to help developers build and orchestrate intelligent workflows that combine large language models (LLMs) with external tools, automation logic, and real-world actions. It acts as an agent manager where you can define tasks, contexts, and tool integrations so that AI reasoning is reliably connected to deterministic procedures like API calls, data retrieval, and task execution. Jesse emphasizes structured outputs, safety boundaries, and...

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...

This is a high-frequency trading bot implementation targeting the OKCoin cryptocurrency exchange. The repository states that from 2016 June to January 2017, the strategy turned an initial investment of 6,000 into 250,000. The bot embodies two main strategies: trend following (entering on directional moves) and rebalancing (keeping position exposure near 50%) to mitigate downside in reversals. Position rebalancing around target exposure. Use of OKCoin API client integrations. Trend-following...