About swanseek
swanseek scans the crypto market for rare, outsized structural setups and publishes what it finds. A short list, not a dashboard. The reasoning, not just the signal.
What this is
swanseek operates a quantitative detection pipeline across hundreds of crypto assets. When multiple independent models agree that something unusual is happening, we write up what was detected, why it's unusual, what the historical context looks like, and what to watch for next.
The output is a list of patterns and a daily summary. The same list. The same summary. For every subscriber.
Our operating stance
Three things are true about swanseek, and they will stay true:
1. This is not financial advice.
Nothing we publish is a recommendation to buy, sell, or hold any asset. We do not know your circumstances, your risk tolerance, your tax situation, or your goals — and we do not want to. Patterns are observations about market structure. You decide what, if anything, to do with them. If you need advice tailored to you, work with a licensed professional.
2. There is no personalization. There will never be personalization.
We do not rank, re-order, filter, or tailor content based on who you are, where you are, what you've viewed, or what you've saved. We do not run recommender models against you. We do not build a profile. The product we publish is the product we publish.
If we ever offer convenience features — saved items, local notes, a personal filter — they affect only your own view of the same underlying feed. They do not change what we generate, and they do not produce a personalized product.
3. Every subscriber gets the same data.
The patterns, the confidence scores, the narratives, the daily brief — identical across our subscriber base. No "premium tier" with different analysis. No segmented drops. No A/B copy on the conclusion. A regular cadence of impersonal publication is the product.
How it works, briefly
A detection layer maintains quantitative models that run continuously — price structure, momentum, volatility, volume, cross-asset correlations, across multiple timeframes. When multiple models independently flag the same asset, a synthesis layer turns the findings into a readable pattern. We publish it.
We document the methodology in more detail on our disclosures page as soon as it's ready. If something in a pattern narrative is unclear, the burden is on us to make it clearer — write to us.
What swanseek is not
- Not a trade signal service. We do not tell you to enter, exit, size, or time anything.
- Not a managed product. We hold no client funds and take no discretionary authority.
- Not a broker or exchange. We do not execute trades.
- Not a registered investment adviser.
- Not a substitute for your own research, your own judgment, or a conversation with a licensed professional about your situation.
Contact
Questions, feedback, or a correction to something we published: hello@swanseek.example.