What is NovaTrade Quant-Core?
NovaTrade Quant-Core is a AI tool that NovaTrade Quant-Core is an autonomous AI trading agent designed for executing quantitative strategies across DeFi protocols and centralized exchanges. It utilizes Mean Reversion and Trend Following al. It has a Nerq Trust Score of 34/100 (E). 0 GitHub stars. Published by 0x7f96c6248258a1b9bf9f81e3a4929c90b71c6a65. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What NovaTrade Quant-Core Does
NovaTrade Quant-Core is a agent in the AI tool category. NovaTrade Quant-Core is an autonomous AI trading agent designed for executing quantitative strategies across DeFi protocols and centralized exchanges. It utilizes Mean Reversion and Trend Following algorithms integrated with advanced risk management systems (including Dynamic Stop-Loss & Take-Profit. It is published by 0x7f96c6248258a1b9bf9f81e3a4929c90b71c6a65 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use NovaTrade Quant-Core
NovaTrade Quant-Core is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x7f96c6248258a1b9bf9f81e3a4929c90b71c6a65 |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=novatrade-quant-core
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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|---|---|---|
| MarkItDown | 42 | 92.8K |
| Sequential Thinking | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.