Ask an Agent That Actually Knows the MarketReal-time market reasoning — without the noise.
Understand what the crypto market is doing — and why.
Ask about cycles, behavior, and entry/exit zones, all grounded in live data.
For research and entertainment only. Not financial advice.
I’m the GPT Market Analyst.
Use me to sanity-check market narratives, understand cycles, and explore possible entry or exit zones based on live data.
But first… what’s your experience level?
Powered by Hunch Machine Indicators API
Frequently Asked Questions
Can I use this as financial advice?
No. The answers provided here are for research and educational purposes only and should not be considered financial advice. Always do your own research and make investment decisions based on your personal situation and risk tolerance.
What’s the difference between this chat and regular ChatGPT?
This chat is powered by HunchMachine’s Crypto Investment Insight automation, which acts as its analytical “brain” and gives it access to multiple live market inputs.
Unlike a general-purpose chat, this agent:
- Continuously references live market data and indicators
- Follows a strict investment framework inspired by Benjamin Cowen’s cycle-based analysis and other long-term crypto analysts
- Focuses on understanding crypto market cycles, behavior, and risk management
It is not a trading bot and does not provide signals. Instead, it takes a rational, cycle-aware approach to identifying areas of accumulation, potential exits, and overall risk management.
Because each question is evaluated against live data and the underlying framework, responses may take slightly longer than a regular ChatGPT reply.
What does this chat use to generate responses?
This chat is built on the HunchMachine Crypto Investment Insight automation, implemented in n8n and connected to an Indicators API.
This setup allows the agent to:
- Pull live and recent market data
- Analyze market structure, cycles, and indicators
- Generate context-aware responses grounded in real market conditions
All answers are produced by combining this live data with a predefined analytical framework, rather than relying on static or generic knowledge.