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MarketStack Index
Composite ranking · mass + velocity
Momentum-derived Index Score = Mass × 0.80 + Velocity × 0.20
Mass — Bestsellers durability
Durability of paid readership. Presence and rank in Substack's Bestsellers Top 100 over a 90-day rolling window, with exponential decay (τ = 30 days) so recent presence weighs more than old.
Velocity — Rising emergence
Recency of growth. Presence and rank in Substack's Rising Top 100 over a 42-day rolling window, with exponential decay (τ = 14 days) so recent rises dominate. Sort by Velocity to surface emerging voices.
How to read the table
Rows #1–100 are the MarketStack Index 100 (gold dot). Faded rows #101+ extend the ranking with writers in the top 100 by Mass or Velocity but outside the composite top 100.
#
CS
Author
Index Score
Free Subs
Δ 1D
Mass x 0.80
Velocity x 0.20
BS today
Δ BS
Rising today
Δ Rising
No authors match
Recommendation Index
Writers endorsed by the MarketStack Index 100 via Substack /recommendations
Writers outside the MarketStack Index — smaller, less established — surfaced because the durably-paid Index 100 vouch for them. Each endorsement is weighted by the credibility of the recommender: a recommendation from MarketStack Index #1 contributes a full point; from #100, almost nothing. Authority flows along the recommendation graph. This is the second of MarketStack’s two complementary credibility lenses. The MarketStack Index measures who readers pay for, durably. The Recommendation Index measures who those proven writers vouch for.
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Publication / Author
Recommendation Score
Endorsements
Tier
Top recommenders
No entries match
Rising Today
Today's Rising 100 — MarketStack Index rank shown where tracked
Author Spotlight
Deep profiles of the voices shaping finance on Substack
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Author / Publication
Category
What they write
Who they are
Classified
Lists
MSI Rank
Rising Rank
Bestsellers
Subs
No authors match
* Subscriber count is an estimate based on follower count. Exact subscriber numbers are not publicly disclosed by Substack.
StackMaps
Curated lists of specialist Substack voices by market vertical
← StackMaps
BondStack
Fixed income voices on Substack
Rates StrategyGlobal Macro / RatesLiquidity & Capital FlowsMacro CreditCredit
The Framework
Fixed income is two markets — Rates and Credit — connected by two things: macro forces and liquidity.
Two Lenses
Every writer views these markets through a macro lens (what it means) or a market lens (how to trade it).
The Map
A 2×2 with two bridges: macro runs vertically, liquidity runs horizontally. Click a quadrant to jump in.
Macro Lenswhat the market means
Market Lenshow to price & trade it
Rates
Govt bonds Yield curves
Global Macro / Rates
"What are bonds telling us about growth, inflation, policy?"
Macro writers anchored in the bond market. Treasuries as a read on the economy.
Rates Strategy
"Where are yields going? How do I position duration?"
Former rates strategists and desk traders. Curves, duration, central bank positioning.
Plumbing
The Bridge
Liquidity & Capital Flows
"Is there enough money? Where is it flowing?"
The plumbing that links rates and credit. Eurodollar mechanics, repo, funding markets, global monetary conditions. Spans both lenses because when liquidity moves, everything moves.
Credit
Corporate & sovereign spreads & defaults
Macro Credit
"How is credit risk being priced across the cycle?"
Top-down credit. Sovereign debt, policy transmission, and how macro forces show up in spreads.
Credit
"Which names? Which sectors? Who defaults?"
Bottom-up credit. High yield, leveraged loans, distressed debt, restructuring and bankruptcy.
↓ Full directory below
← StackMaps
CLOStack
CLO voices on Substack
CLO-specific writing on Substack is very niche and fragmented—there's no single "CLO influencer" like in equities. Instead, CLO insights are scattered across structured credit specialists, private credit writers, and a few deep-dive blogs.
← StackMaps
OilStack
Oil market voices on Substack
← StackMaps
BehaviouralStack
Behavioural economics & investing psychology on Substack
58 macro voices on Substack, ranked by The MarketStack Index. Each row is an author; each cell is a macro sub-category. The number is how many posts that author has written on that sub-category. Click a number to open those posts, or click a sub-category header to see all posts in that bucket across authors.
The Spectrum
Author chips have a bronze (diagnostic) ↔ silver (narrative) border showing whether the writer leans data-first or regime context-first. Mixed = both.
The Markets Lens
A green graph icon flags writers who relate macro reads directly into asset pricing and risk positioning. Click the Markets only button above the table to filter for these authors.
Pure Macro
World
Economy
Policy
MSI Rank
Author
Briefings
Frameworks
Regimes
Geopolitics
China & EM
FX
Data
Inflation
Supply Chain
Fed
Non-Fed
TickerStack
Cross-asset ticker coverage map
Each ticker shows author count, post count, and a 14-day mention sparkline. Click any ticker for the full author roster and post list.
New in coverage — first time appearing
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Surging coverage — biggest 7d author-count jump
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AlphaStack
Not investment advice
Refreshed periodically
Disclaimer: all positions and returns are inferred with AI, which can make mistakesUsers are strongly encouraged to use the click-through audit trail.
Trade picks are extracted from public posts and Notes (with exceptions named below) by Claude (Anthropic) — specifically claude-haiku-4-5 reading each post's full text and emitting structured output. The model can mis-identify a stance, miss an exit, or fabricate a date. Every row is auditable: click a row to see the exact quote the model relied on, then click the source link to verify against the original article.
Each row = one AI-extracted trade view from a Substack writer’s own words, priced where possible
Free public posts & Substack Notes only · exceptions: full paid archives scraped for Tae Kim and Grey Rabbit Finance · positions last updated: —
What qualifies
Author-stated. Post or note must name a security and an unambiguous direction. Explicit = author literally says “I’m long X”. Implied = tone unambiguously signals the stance without stating it.
Dates & exits
Published date is when the post or note containing the trade view went live. We use it as the proxy for initiation. Exits detected by scanning every subsequent post and Note for explicit close/trim/cover language. Prices refresh once daily after US market close — the column header shows the most recent close date.
How to read
Four sub-views: Picks (single-stock equities), Options (call/put positions, shown as directional signal not actual P/L), Macro Proxies (themes priced via ETF), Macro Views (qualitative, no proxy). Click any row for the AI evidence quote and source link.
These are option positions extracted from writer commentary. We do not track strike prices, expiry dates, or premiums paid — only the directional stance the writer took. The Underlying Move column shows how the equity moved since the position was opened, colour-coded by the writer’s outcome: green when the underlying moved in the writer’s direction (bullish stance + price up, or bearish stance + price down), red when it moved against them. This is a directional signal, not actual option P/L — real option returns depend on strike, expiry, and premium paid and may differ significantly.
When a writer expresses a directional view on a theme rather than a specific company (gold, uranium, oil, copper, Korean equities, etc.), we price the view against its most representative ETF proxy. The substitution is shown in each row as $THEME → $PROXY. Common mappings: uranium → URA, gold → GLD, silver → SLV, copper → CPER, oil → USO, platinum → PPLT, S.Korea → EWY, Chinese tech → KWEB, long bonds → TLT.
Directional views on themes, currencies, indices, or instruments with no clean public proxy for pricing — for example specific futures contracts (SOFR, 2s10s), regional currencies (CHF/JPY), foreign indices (NVO.B, LIFCO-B), or thematic terms with no representative ETF. We log the writer’s view, the date, the source, and the evidence quote, but no return is computed.
Extractions where the source language doesn’t quite read as a current position — watchlist mentions, tentative earnings-related plans, or commentary about other people’s positions. Surfaced separately so the main tabs only reflect real, current positions. No returns are tracked for items in this tab.
Grey Rabbit Finance
Positions scraped from paid Substack archive & subscriber chat. Entry dates = first public disclosure, not Grey Rabbit's actual cost basis.
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Kova Investment Research
Portfolio sourced from published note 5 Jun 2026. Entry prices from momentum portfolio tracker. The Jun 5 rotation to SQQQ is recorded as a separate open position.
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Daily Signals
Authors flashing unusual activity — refreshed with each data update ·
Signals surface authors showing statistically unusual activity on the Rising list — updated each time the daily data is refreshed. Each signal is scored across five cross-referenced dimensions. Multiple signals compound to determine signal rank. A single large spike from an unknown author scores lower than a moderate spike from a consistently tracked voice. The MarketStack Index rank acts as a credibility weight.
⚡ Spike — rank improved 50+ places in 1 day·🆕 First appearance — never in top 100 before·👋 Return — absent 7+ days, suddenly back·★ Personal best — highest rank ever achieved·📈 Above average — 25+ places better than own mean
Live Feed
Latest posts from tracked authors
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Content Library
Browse all posts by category
Policy Feed
Latest from central banks, multilaterals & fiscal authorities
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MarketStack
A signal layer for the Finance Substack ecosystem.