Собрав всё вместе, ты уложишься в бюджет около 45 000–50 000 ₽ (~500–550 $).
Looking to supercharge your trading systems with AI but concerned about API costs and latency? Local LLMs offer a powerful alternative to cloud-based solutions, providing faster response times, complete privacy, and significant cost savings. This guide walks you through integrating three essential tools that will transform how you leverage AI in your trading stack.
Gemma3 is a new generation of LLMs that are faster, more efficient, and more accurate than their predecessors. But there are many other LLMs that are worth trying.
Following our previous investigation into the limitations of Chain of Thought reasoning for trading systems, we conducted extensive benchmarking to identify the optimal language models for structured trading analysis. This post presents our findings, detailed performance comparisons, and implementation recommendations based on rigorous testing.
Сегодня я пришёл к пониманию одной фундаментальной истины: быть уебком легко, а писать простой код — сложно. Особенно, если вместо того, чтобы смотреть на уже существующие решения, ты изобретаешь свой велосипед с ядерным реактором и квантовым генератором промптов.
This post documents our investigation into whether LangChain's Ollama integration (https://js.langchain.com/docs/integrations/chat/ollama/) provides exceptional value for the Mercury trading system beyond direct Ollama API usage.
Below is an investigation into deepseek r1 issues with other smart thinking models with internet access.
DeepSeek R1 1.5B has shown impressive capabilities for numerical reasoning in financial market analysis. Our experiments revealed several key insights that will significantly improve our market comparison service, particularly for tournament scenarios where reliable numerical analysis is critical.
This guide provides a comprehensive overview of using DeepSeek-R1-Lite-Preview in our infrastructure, including server setup, configuration, and best practices for efficient deployment.
This guide provides a comprehensive overview of using Phi-3.5 in our infrastructure, including server setup, configuration, and best practices for efficient deployment.