LLM_trader

About LLM_trader

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.

ai algorithmic-trading algorythmic-trading anthropic cryptocurrency gemini gemini-ai google-ai-client-sdk llm market-analysis

Quick Facts

Stars	132
Forks	45
Language	Python
Category	Agent Tool
License	MIT
Quality Score	35.3/100
Last Updated	2026-10-11
Created	2025-02-28
Platforms	cli, gemini, python
Est. Tokens	~721k

Compatible Skills

These tools work well together with LLM_trader for enhanced workflows:

maverick-mcp — semantic(0.35)+complementary+rare_topics+same_lang+similar_pop+shared_platform (71%)
FriesTrader — semantic(0.46)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
alpaca-mcp-server — semantic(0.38)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
indian-trading-skills — semantic(0.37)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
polymarket-mcp-server — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)

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Frequently Asked Questions

What is LLM_trader?

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 Agent Tool with 132 GitHub stars.

What programming language is LLM_trader written in?

LLM_trader is primarily written in Python. It covers topics such as ai, algorithmic-trading, algorythmic-trading.

How do I install or use LLM_trader?

You can find installation instructions and usage details in the LLM_trader GitHub repository at github.com/qrak/LLM_trader. The project has 132 stars and 45 forks, indicating an active community.

What license does LLM_trader use?

LLM_trader is released under the MIT license, making it free to use and modify according to the license terms.

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