by qrak · LLM Plugin · ★ 68
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🤖 SEMANTIC SIGNAL LLM (LLM Trader) An autonomous AI trading agent that reads charts, remembers outcomes, and sharpens its strategy in real time. []() []() []() 📊 Live Dashboard — Watch the neural trading brain in action 📖 Read the Full Story (Medium) 💬 Join the Discord ⚠️ Research Edition. Runs in paper-trading mode only. Real exchange order execution is not implemented in this public branch. Quick Start Detailed setup for Windows, Linux, macOS → Platform-specific scripts live in — they handle venv creation, dependency install, and startup: | scripts/st
| Stars | 68 |
| Forks | 26 |
| Language | Python |
| Category | LLM Plugin |
| License | MIT |
| Quality Score | 33.3/100 |
| Last Updated | 2026-06-11 |
| Created | 2025-02-28 |
| Platforms | cli, gemini, python |
| Est. Tokens | ~649k |
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LLM_trader is LLM-powered Crypto Trading Framework with Vision AI chart analysis, real-time Neural Engine, and a live monitoring dashboard at semanticsignal.qrak.org. Features memory-augmented reasoning and profess. It is categorized as a LLM Plugin with 68 GitHub stars.
LLM_trader is primarily written in Python. It covers topics such as ai, algorithmic-trading, algorythmic-trading.
You can find installation instructions and usage details in the LLM_trader GitHub repository at github.com/qrak/LLM_trader. The project has 68 stars and 26 forks, indicating an active community.
LLM_trader is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to LLM_trader on Agent Skills Hub include kea-research, ha-text-ai, abso. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.