Alphora Labs
Crypto investment research workflow
Investment research is a written thesis with falsifiers — not a chart screenshot. Alphora Labs helps you discover, brief, and track ideas as measurable baskets.
Workflow
Discover → Ask → Basket
Focus
Research, not noise
Start
Free to explore

Ethereum
$3,412 +1.8%
Vol
$12.4B
Rank
#2
Bias
Watch
- Write bull / base / bear before sizing
- Define kill criteria you will honor
- Track outcomes in thesis baskets
- Revisit when unlocks or fundamentals change
From idea to monitored thesis
Screen → public research page → Ask brief → basket with size and monitors. When the thesis breaks, cut or rewrite — do not average down on vibes. Crypto investment research is a workflow, not a mood. Audit badges do not delete admin-key and oracle assumptions.
Write bull, base, and bear before you size. Include kill criteria you will actually honor under drawdown. If the plan only works when you feel brave, it is not a plan. Total supply sits between float and ceiling — path still beats headlines.
Alphora keeps the loop in one desk: Discover for triage, /crypto for indexed context, Ask for structure, baskets for live P&L. Research software supports judgment; it is not advice and not a broker. Structural fee burns differ from one-off marketing supply theater.
What belongs in an investment-grade note
Narrative fit, token necessity, supply path, liquidity versus size, named risks, catalysts, and monitors. Add peer context from sector pages when valuation only makes sense relative to a cohort. High beta stacks the same market factor even across different tickers.
Separate time horizon from thesis quality. A clean short-term catalyst trade and a multi-quarter fundamental bet need different monitors. Mixing them creates confused exits. Drawdown tolerance should be chosen before the path tests your nerve. Write who gets paid if the story works — and if it fails.
Measuring whether research worked
Thesis-level P&L tells you if process produced outcomes worth repeating. A green wallet with no attribution teaches little. Baskets make feedback specific enough to improve rules. Crowded catalysts can sell the news even when delivery is fine. Do not let a tidy dashboard replace an ugly primary source.
Review closed ideas as carefully as open ones. Patterns in failed unlock assumptions or liquidity misses are how cryptocurrency investment research gets sharper over time. Keep Alphora in the loop as triage and structure, not as oracle. Treat process quality as the compounding edge you can actually control.
Guardrails that keep you honest
No buy/sell ratings from Alphora by design. Scores and briefs prioritize attention; you decide. That boundary protects the research-only posture when markets get loud. Discover swipe speed only helps if survivors still face a real checklist. When peers disagree, document why your checklist still stands.
Revisit when unlocks, fee switches, or sector leadership change. Stale notes are a hidden risk factor. Update or archive — do not worship the first draft. Ask briefs should leave homework lists, not fake certainty about price. Cut the name if exit math fails before narrative romance begins.
Frequently asked questions
- Does Alphora give buy/sell ratings?
- No. Alphora is research software. You make your own decisions.
- What makes investment research different from casual reading?
- Written falsifiers, sized liquidity assumptions, and outcome tracking. Without those, it is content consumption.
- How do baskets help investors?
- They group holdings by thesis and show live P&L so you know which story worked — not just whether crypto moved.
- Should I share my research publicly?
- Public /crypto pages are useful for shared context. Keep personal sizing and kill criteria in your desk notes and baskets.