AI Infrastructure · GitHub ·4 ★

HydraQuant

AI-Powered Quantitative Crypto Trading Engine — 18 RAG Types, 10 Autonomous Agents, Evidence-First Signal Engine, Self-Learning Risk Management. Built on Freqtrade.

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Details

Author
ymcbzrgn
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
python
Stars
4
First indexed
2026-05-15
Last active
2026-04-11
Directory sync
2026-05-15
@ymcbzrgn

Overview

AI-Powered Quantitative Crypto Trading Engine — 18 RAG Types, 10 Autonomous Agents, Evidence-First Signal Engine, Self-Learning Risk Management. Built on Freqtrade.

Quick start

git

git clone https://github.com/ymcbzrgn/HydraQuant

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

What HydraQuant can do

deficryptoragllmbitcoin
  • Defi — Interacts with decentralised finance protocols.
  • Crypto — Reads on-chain data and interacts with crypto protocols.
  • Rag — Retrieves grounded context before answering.
  • Llm — llm task automation.
  • Bitcoin — bitcoin task automation.

Frequently asked questions

What is HydraQuant?
AI-Powered Quantitative Crypto Trading Engine — 18 RAG Types, 10 Autonomous Agents, Evidence-First Signal Engine, Self-Learning Risk Management. Built on Freqtrade.
How do I install HydraQuant?
Use git: `git clone https://github.com/ymcbzrgn/HydraQuant`. Full setup details on the source page linked above.
Is HydraQuant open source?
HydraQuant is published on GitHub.
What are alternatives to HydraQuant?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for HydraQuant is sourced from GitHub, published by ymcbzrgn.

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