Data & Research · GitHub ·10 ★

day_trading_agents

ADTA leverages CrewAI and OpenAI's LLM Model for market analysis, signal generation, and risk management—operating strictly during US market hours.

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Details

Author
0xnu
Category
Data & Research
Platform
GitHub
Framework
crewai
Language
python
Stars
10
First indexed
2026-05-15
Last active
2024-12-20
Directory sync
2026-05-15
@0xnu

Overview

ADTA leverages CrewAI and OpenAI's LLM Model for market analysis, signal generation, and risk management—operating strictly during US market hours.

Quick start

git

git clone https://github.com/0xnu/day_trading_agents

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What day_trading_agents can do

llmragdataanaly
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Data — Reads, transforms, and analyses structured data.
  • Analy — analy task automation.

Frequently asked questions

What is day_trading_agents?
ADTA leverages CrewAI and OpenAI's LLM Model for market analysis, signal generation, and risk management—operating strictly during US market hours.
How do I install day_trading_agents?
Use git: `git clone https://github.com/0xnu/day_trading_agents`. Full setup details on the source page linked above.
Is day_trading_agents open source?
day_trading_agents is published on GitHub.
What are alternatives to day_trading_agents?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for day_trading_agents is sourced from GitHub, published by 0xnu.

Last scraped: · First indexed:

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