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Intermarket
Technical Indicators • Price Action • Chart Signals
The analytical framework of reading market relationships — understanding how different asset classes, sectors, and instruments influence and signal each other across connected financial systems
Intermarket analysis is the discipline of reading financial markets not in isolation but in relationship — understanding how bonds signal equities, how equities signal commodities, how commodities signal currencies, and how all four interact in response to the same underlying economic forces. The term encompasses both the analytical framework — reading cross-market relationships to anticipate what one market will do based on what another is already doing — and the trading strategies built on those relationships, from the simple TED Spread to the complex multi-leg Conversion/Reversal.
The word itself is deceptively simple. Intermarket means between markets. But the insight it represents took decades to formalize — that no market exists in isolation, that every asset class is connected to every other through the shared economic reality that underlies all of them, and that reading those connections gives investors a structural edge unavailable to anyone analyzing markets individually. John Murphy — whose 1991 book Intermarket Technical Analysis synthesized decades of cross-market observation — is widely credited with formalizing the framework for mainstream financial analysis. But the trading strategies it describes were already being executed by institutional traders in the early 1980s, documented in the same elite research that introduced the TED Spread, NOB Spread, and Crack Spread to a small circle of clients.
The foundational intermarket relationships are well established. Bonds and stocks typically move inversely — rising bond yields historically pressure equity valuations. Commodities and the dollar typically move inversely — a stronger dollar pressures commodity prices denominated in USD. Gold and the dollar move inversely — dollar weakness historically supports gold. Oil and inflation expectations move together — rising oil signals inflation pressure which signals rising bond yields. These relationships are not perfectly consistent across all conditions, but they are directionally reliable enough across cycles that reading them provides consistent analytical edge.
In crypto, the intermarket framework extends these relationships into digital asset territory and adds new relationships specific to the blockchain economy. BTC and traditional risk assets increasingly move together — crypto is now an intermarket participant in the global risk-on/risk-off cycle. BTC dominance and altcoin performance move inversely — capital flows between them follow intermarket rotation logic. The gold/silver ratio and $KAU/$KAG relative performance are a direct intermarket relationship within the Kinesis ecosystem. The FOB Spread and crypto bull market cycles are historically correlated — wide FOB means loose money means risk asset bull market. Every strategy built across this entire 80s series is an application of intermarket thinking to specific instrument pairs.
The intermarket framework is ultimately the meta-framework that connects every term in this lexicon. The TED Spread reads the intermarket relationship between government debt and interbank credit. The NOB Spread reads the intermarket relationship between two Treasury maturities. The Crack Spread reads the intermarket relationship between crude oil and refined products. The Gold/Silver Ratio Trade reads the intermarket relationship between two monetary metals. The Capital Rotation Map reads the intermarket relationships between BTC, ETH, alts, and hard assets across the full cycle sequence. All of them are expressions of the same underlying insight — markets are connected, and reading those connections is the highest-order analytical skill in investing.
Use Case: A cycle-aware investor applies intermarket analysis across four connected signals simultaneously — the FOB Spread narrowing as the Fed tightens, the NOB Spread steepening as fiscal stress builds, BTC dominance rising as capital flees altcoins toward safety, and the gold/silver ratio climbing above 85 as monetary metals pricing reflects economic uncertainty.
No single signal is conclusive. Together they form a coherent intermarket picture — the macro, the yield curve, the crypto capital flow, and the metals pricing all pointing toward the same late-cycle, risk-off transition. The intermarket framework converts four separate data points into a single high-conviction read.
Capital rotates accordingly — reducing altcoin and DeFi exposure, increasing $KAU weighting as the gold/silver ratio signals silver undervaluation forming, routing liquid capital into C1USD for 7.5% APY while the macro resets, and positioning $KAG for the eventual ratio compression that follows every cycle of gold outperformance.
Key Concepts:
- Multi-Signal Convergence — the decision framework that operationalizes intermarket analysis — multiple markets pointing the same direction forms the convergence stack
- Inter-Commodity Spread — the trading strategy built directly from intermarket relationships — long one related market, short another, capturing the reversion
- TED Spread / SOFR Spread — the credit intermarket signal — government debt vs interbank lending rate relationship
- NOB Spread — the yield curve intermarket signal — 10-year vs 30-year Treasury relationship
- MOB Spread — the tax yield intermarket signal — municipal vs Treasury yield relationship
- FOB Spread — the monetary policy intermarket signal — overnight Fed Funds vs 30-year bond relationship
- Eurodollar Spread — the offshore dollar intermarket signal — domestic vs offshore dollar rate relationship
- Crack Spread — the energy intermarket signal — crude oil vs refined products processing margin relationship
- Crush Spread — the agricultural intermarket signal — raw commodity vs processed output relationship
- Spark Spread — the energy infrastructure intermarket signal — fuel input vs electricity output relationship
- Gold/Silver Ratio Trade — the metals intermarket signal — $KAU vs $KAG relative value relationship within the Kinesis ecosystem
- Bitcoin Dominance — the crypto intermarket signal — BTC vs total market capital flow relationship
- Dominance Divergence — the crypto intermarket divergence event — BTC and altcoin dominance separating beyond historical norms
- Capital Rotation — the macro intermarket capital flow — sequential movement of capital across asset classes following intermarket relationship logic
- Cycle Cadence Map — the temporal framework that maps intermarket relationships across the full crypto cycle sequence
- Synchronicity Signals — the event when multiple intermarket relationships point the same direction simultaneously — maximum conviction read
- Macro Rotation Storm — the rapid cross-market capital movement that intermarket relationship breakdowns accelerate
Summary: Intermarket is the analytical discipline of reading markets in relationship rather than isolation — understanding how bonds, equities, commodities, currencies, and digital assets influence and signal each other through the shared economic reality that connects all financial systems. Every spread strategy in this lexicon is an application of intermarket thinking to a specific instrument pair — from the TED Spread’s government-vs-interbank credit relationship to the Gold/Silver Ratio Trade’s $KAU-vs-$KAG metals relationship. The investor who thinks intermarket does not ask where one asset is going — they ask what the relationship between assets is telling them about where the entire system is headed.
Reference Table — The Complete Intermarket Relationship Map
Framework — Applying Intermarket Analysis to Crypto Cycle Positioning
Step 1 — Map your four primary intermarket layers. Every cycle-aware crypto portfolio should monitor four intermarket layers simultaneously — the macro monetary layer (FOB and NOB Spreads), the credit stress layer (TED/SOFR Spread), the crypto capital flow layer (BTC and ETH dominance), and the metals layer (Gold/Silver Ratio). These four layers together give a complete intermarket picture of where the full financial system sits in its cycle at any point in time.
Step 2 — Look for directional alignment across layers. The highest-conviction intermarket reads occur when all four layers point the same direction simultaneously. When the FOB Spread is inverting, the TED Spread is widening, BTC dominance is rising as altcoins weaken, and the gold/silver ratio is climbing — all four layers are signaling the same late-cycle, risk-off, preservation transition. This is the intermarket equivalent of a full Multi-Signal Convergence stack alignment.
Step 3 — Use divergence to identify opportunity. When intermarket layers diverge — the macro layers signal risk-off while crypto capital flow signals risk-on — the divergence itself is information. Historically, macro intermarket signals lead crypto market signals. When the FOB Spread inverts before crypto prices peak, the macro is telling you something the crypto price chart has not yet confirmed. Trust the macro intermarket lead indicator over the lagging price signal.
Step 4 — Apply the Gold/Silver Ratio as the metals intermarket signal within Kinesis. The $KAU vs $KAG intermarket relationship is the most directly actionable intermarket trade in the WRC ecosystem — executable immediately within the Kinesis platform with no external infrastructure required. When the gold/silver ratio reaches historical extremes, the intermarket relationship signals a rotation opportunity between $KAU and $KAG that generates returns from the reversion of a well-documented historical relationship.
Step 5 — Build the complete intermarket stack into every major positioning decision. No entry or exit decision should be based on a single market’s signal. Before every major allocation change, run the four-layer intermarket check — macro monetary, credit stress, crypto capital flow, and metals. When at least three of the four layers confirm the same direction, the intermarket stack is aligned and the conviction level justifies action. Capital moves into C1USD, $KAG, and $KAU when the intermarket stack confirms preservation conditions — and into productive yield positions when it confirms expansion conditions.
Checklist — Intermarket Analysis for Cycle Positioning
- Macro monetary layer assessed — FOB Spread direction and inversion status confirmed
- Yield curve layer assessed — NOB Spread steepening or flattening direction confirmed
- Credit stress layer assessed — TED/SOFR Spread level and direction confirmed
- Crypto capital flow layer assessed — BTC and ETH dominance trend confirmed
- Metals intermarket signal assessed — Gold/Silver Ratio level and direction confirmed
- Cross-layer alignment evaluated — number of layers pointing same direction counted
- Divergence identified if present — macro vs crypto signal divergence noted and macro given lead weighting
- Gold/Silver Ratio extreme assessed — $KAU vs $KAG rotation opportunity evaluated
- Inter-Commodity Spread opportunities mapped — BTC/ETH dominance divergence from historical norms noted
- Full convergence stack updated — intermarket layers combined with technical and sentiment signals
- Preservation trigger confirmed — three or more layers aligned on risk-off signals rotation to metals and C1USD
- $KAG, $KAU, and C1USD positions confirmed as destination when intermarket stack aligns on preservation
Capital Rotation Map — Intermarket Signals Across Cycle Phases
Intermarket Cycle Map — the complete cycle is an intermarket story told across four layers simultaneously; the investor who reads all four together never relies on a single market’s signal; the intermarket framework is what separates the cycle-aware investor from everyone else looking at only one chart at a time.
Resources
crypto dictionary apps | crypto dictionary pdf | newsletter | self-custody wallets | tipJar