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 professional risk metrics.
| Stars | 62 |
| Forks | 25 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 33.3/100 |
| Last Updated | 2026-05-12 |
| Created | 2025-02-28 |
| Platforms | cli, gemini, python |
| Est. Tokens | ~595k |
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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 AI Tool with 62 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 62 stars and 25 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.