Lyn Alden

Lyn Alden is one of the two best sources for thinking about Bitcoin in macroeconomic context. Glassnode is the other (for on-chain data; Lyn for the macro framing). Together they provide most of what serious analysts use to think about Bitcoin's cycle position, its relationship to broader monetary trends, and the structural drivers of long-term price action. If you're going to integrate two sources into your weekly information diet beyond the basic monitoring dashboards, these are the right two.

Lyn Alden's background is distinctive. She came to investment research through engineering — a degree in electrical engineering and a career managing the finances of large industrial facilities. She started writing publicly about macro and Bitcoin in the late 2010s, gradually developing one of the largest independent research practices in finance. Her newsletter (lynalden.com) is the primary publication; she also publishes a substantial archive of long-form essays, hosts a podcast, and occasionally appears on broader financial media.

What distinguishes her writing.

Macro literacy applied to Bitcoin. Most Bitcoin writing is either pure crypto-native (focused on on-chain dynamics and crypto narratives) or pure macro (treating Bitcoin as a speculative asset class without engagement with its specifics). Lyn does both. She has the macro framework — fiscal dominance, sovereign debt dynamics, currency debasement cycles, energy economics — and she applies it specifically to what Bitcoin is and why people hold it. The combination is unusual and produces analyses that crypto-native or macro-native writers can't easily reproduce.

Long-horizon framing. Lyn's writing typically focuses on multi-year and multi-decade time horizons rather than the quarterly cycle that dominates most market commentary. Her core Bitcoin thesis — that Bitcoin's monetary properties make it a structural beneficiary of long-term fiscal trends in major economies — is a thesis that plays out over decades, not months. The longer time horizon produces less noise and more useful framing.

Specificity in macro modeling. Lyn's macro work is detailed enough to be falsifiable. Her newsletter posts include specific data series, specific projections, and specific reasoning chains. When the analysis turns out to be wrong, the reasons are visible; when it turns out to be right, the reasons are also visible. This is rare in macro writing, which tends toward narrative-driven generalities that can never be precisely refuted.

Pair with Glassnode. Glassnode (glassnode.com) is the canonical on-chain analytics platform for Bitcoin (and to a lesser extent Ethereum) cohort and behavioral analysis. The free tier has plenty for individual analysts: long-term holder cohort data, realized price metrics, hash rate trends, exchange flow data. The premium tier is expensive but worth it for professional use cases. Reading Glassnode's research alongside Lyn's macro framing gives you both the on-chain data and the macro context, which is most of what you need to form defensible views about Bitcoin's cycle position.

Other macro/Bitcoin voices worth knowing for varied perspectives:

Luke Gromen at Forest for the Trees. Hard-money-focused macro analysis with strong Bitcoin integration.

Preston Pysh at Investor's Podcast Network. Bitcoin-specific macro analysis with extensive interview content.

Jeff Booth at The Price of Tomorrow. The deflationary technology thesis as applied to Bitcoin.

Saifedean Ammous at The Bitcoin Standard. The Austrian-economics framing of Bitcoin as sound money.

The Lyn + Glassnode combination is the highest-density entry point. Both are worth integrating into your weekly information diet — not for trading signals (neither produces trading signals) but for the structural framing that informs longer-horizon position-building.