rsi

A control plane with a durable state kernel for long-horizon agents and teams. Keep work moving and improving across sessions, with less human attention.

The Harness of Harnesses • built for RSI: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.

MyTT将通达信,同花顺,文华麦语言等指标公式,最简移植到Python中,核心库单个文件，仅百行代码,十几个核心函数，神奇的实现所有常见技术指标算法（不依赖talib库）的纯python实现和转换通达信MACD,RSI,BOLL,ATR,KDJ,CCI,PSY等公式,全部基于pandas函数计算方法封装，简洁且高性能，能非常方便的应用在股票指标公式,股市期货量化框架分析,自动程序化交易,数字货币量化等领域,它是您最精练的股市量化工具。Python library with most stock market indicators.

PhyAgentOS is a Recursive Self-Improving (RSI) physical agent operating system that enables agents to recursively self-improve through agentic workflows.

iOS YYKline：Kline、Chart、Volume、Scroll、Scale、MACD、KDJ、K线图、分时图...

🐧 Unified and Stable RSI Platform

NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness.

Strategies to Gekko trading bot with backtests results and some useful tools.

Technical indicators to run technical analysis with JavaScript & TypeScript. 📈

The all-in-one AI agent living in your terminal. Build landing, mobile apps, backends, manages files, deep research, schedule tasks and events. Self-improving, self-healing, fully autonomous. TUI, CLI and Daemon. Connect to your favorite channels. Zero Telemetry.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP server, and an ACP agent any editor can drive.

💹 Simple HTML Snippets to create Tickers / Charts of Cryptocurrencies with the TradingView API 💹

📺 A Dashboard with the price movements of Cryptocurrencies 💹

Keyboard-driven mouse control using local computer vision.

Crypto trading bot using Binance API (Java)

A curated research map of Recursive Self-Improvement (RSI): models, agents, harnesses, embodied systems, automated AI R&D, benchmarks, and safety.

Dragonfly-Based Voice Programming and Accessibility Toolkit

Experimental packages for KUKA manipulators within ROS-Industrial (http://wiki.ros.org/kuka_experimental)

Repositorio del curso online en Frogames Formación

[Public preview] Externally scored agentic ML research benchmark: 60 tasks, real competition ground truth. Open protocol, operated evaluation.