About
What is Amstos?
Portfolio intelligence for the modern investor: AI as the interface, quantitative models as the foundation. Starting with crypto, multi-asset by design.
Why crypto first
The best market to prove portfolio intelligence.
- 01
Highest data density
24/7 markets generate more behavioural data per trader than any other asset class.
- 02
Fragmented by default
Traders run 2–4 exchanges with no unified view.
- 03
Underserved by incumbents
Legacy portfolio tools were built for equities; crypto-native behavioural analytics remain shallow.
- 04
Fastest path to signal
Higher trade frequency means AI learns a trader’s own patterns faster than in slower markets.
Crypto is the wedge, not the ceiling.
Founder
Who’s building it.
Ayush Pandey
Founder, Quantitative Research & Product
- ~3 years in systematic trading and quantitative research
- Developed and evaluated 150+ strategies
- Background across quant research, algorithm development and portfolio analytics
Principles
What we won’t compromise on.
Read-only, always
Connected with read-only API keys. Amstos never executes a trade.
Analytics, not advice
Analysis of your own data, kept clearly outside investment-advisory scope.
Explainable AI
The AI Analyst explains quant results in plain language — analysis of observed data, not certainty.
Published methodology
Most engines are statistical, mathematical or simulation models, not black boxes.
Open about the hard parts
What has to be solved.
- 01
Regulation
Positioning and disclosures must stay clearly outside investment-advisory scope as the product and geography expand.
- 02
Data licensing
Market, sentiment and alternative data licensing costs and terms must scale sustainably with usage.
- 03
AI reliability
Model outputs must stay explainable and grounded — reliability compounds trust, errors compound churn.
- 04
User retention
Trading-adjacent products see volatility-linked engagement; habit-forming design must offset that cyclicality.