Technical Analysis for Futures Traders
Part III, Institutional Chapter 14

Cross-Market Context: VIX, DXY, Yields

No futures contract trades alone. The information that completes the chart is on the next screen over.

14.0Why this chapter exists

Every contract this book treats has correlated cousins whose behavior is informative about the contract's own. ES and NQ move together with intraday correlations typically 0.85 to 0.95. GC has a strong negative relationship with DXY (the U.S. dollar index) and a complex one with US 10-year yields. CL has dependencies on macro risk-on/off and specific energy fundamentals. VIX is the cross-asset risk thermometer.

A trader who reads only the contract they trade is reading with one eye closed. The cross-market context completes the picture.

This is the integration layer. The cross-asset dashboard comes first: VIX as the risk thermometer, DXY for the dollar regime, US 10-year yield for the rates regime, and the correlated future for whichever contract is being traded. From there, the simple but powerful risk-on / risk-off classification, then the correlation-based filters that flag when the normally-correlated relationships are breaking. Asset-specific deep treatments follow, with the ES-NQ divergence pattern, the GC-DXY-rates triangle, and the macro-versus-specific drivers of CL. The chapter closes by showing where cross-market context plugs into the regime composite from Chapter 2 and the open-type playbook from Chapter 13, plus the failure modes that come from over-relying on cross-asset signals.

This chapter is shorter than the previous several. Cross-market analysis is, conceptually, a generalisation of regime classification. The mechanics are similar; the inputs are broader.

14.1The cross-asset dashboard

A working dashboard needs a small number of always-visible measurements. The recommended set:

VIX (CBOE Volatility Index)

The "fear index." Measures 30-day forward implied volatility on S&P 500 options. Reads from ~10 (extreme calm) to 80+ (crisis).

  • VIX < 15: calm regime; mean reversion strategies at full size.
  • VIX 15 to 25: normal regime; standard playbook.
  • VIX 25 to 40: elevated; reduce size 25 to 50%.
  • VIX > 40: crisis; cut size 75% or stand down.

VIX moves are themselves informative. A VIX rising during an ES rally is unusual; it may flag end-of-rally exhaustion (because traders are buying protection even as the underlying rises).

DXY (U.S. Dollar Index)

The dollar's value against a basket of major currencies. Direction matters:

  • DXY rising: stronger dollar; pressure on GC (typically lower), pressure on commodities broadly, often risk-off.
  • DXY falling: weaker dollar; supportive for GC, commodities, often risk-on.
  • DXY ranging: no dollar input to the trade thesis; focus on contract-specific drivers.

Correlation between DXY and GC is consistently negative on multi-day horizons (typical correlation around -0.6 to -0.8); on intraday it can decouple but the daily relationship dominates.

US 10-year Treasury yield

Rates affect everything. Direction:

  • 10Y rising: equity multiples compress; growth stocks (NQ-heavy) react more than value (ES-heavy); GC pressure as real yields rise.
  • 10Y falling: equity multiples expand; growth outperforms; GC supportive.
  • 10Y ranging: rates not currently a directional driver.

A trader watching ES without watching 10Y misses the rate-driven component of the move; on rate-news days (FOMC, jobs, CPI) the relationship dominates.

Correlated futures

The pair of futures most correlated with the one being traded:

  • Trading ES: watch NQ. Correlation typical 0.85+. Decoupling is informative.
  • Trading NQ: watch ES, and also watch high-beta tech components (or proxies) if available.
  • Trading GC: watch DXY (negative correlation), SI (silver, positive correlation, higher beta).
  • Trading CL: watch other energy contracts (HO heating oil, NG natural gas), and broad risk-on/off (ES in crisis modes).

Adding bond futures (ZN, ZB)

For longer-horizon work, the bond futures provide direct rate exposure. ZN (10-year T-note) is the rates contract most-watched for cross-asset signals. Inverse correlation with ES around -0.4 to -0.6 in normal regimes, can flip during specific risk events.

14.2Risk-on / risk-off classification

A simple but powerful binary classification of the macro regime:

Risk-on signature

  • VIX low and stable.
  • ES, NQ trending up or sideways in calm.
  • DXY range-bound or declining.
  • 10Y range-bound.
  • High-beta sectors (NQ relative to ES) outperforming.

Risk-off signature

  • VIX rising or elevated.
  • ES, NQ trending down or making lower swings.
  • DXY rising (flight to dollar).
  • 10Y falling (flight to safety); note that this signal can flip in inflation-driven sell-offs where rates rise and equities fall; pay attention to the combination.
  • Defensive sectors outperforming.
  • Cross-asset correlations converging (everything moves together).

How to use the classification

The classification is a prior on framework selection:

  • Risk-on regime: continuation strategies in equities; trend continuation framework (Framework 2) is the default.
  • Risk-off regime: mean-reversion in equities is unreliable (the moves often run); trend short setups in equities; gold/Treasury long setups for safety positioning.
  • Transitional regime: reduce size; wait for the regime to commit.

A working desk does this classification daily. A retail-trained trader can do it from publicly available data (VIX, DXY, ES, NQ, ZN charts).

14.3Correlation-based filters

The 30-day rolling correlation

Correlation between two contracts on daily returns over a 30-day rolling window. Computed each day:

correlation_30d(t) = corr(returns_A[t-30:t], returns_B[t-30:t])

A traders watches the correlation itself for shifts:

  • ES-NQ correlation drops below 0.7: divergence is unusual. One of the contracts is moving for idiosyncratic reasons (sector-specific news, large component move).
  • GC-DXY correlation moves toward zero or positive: the typical inverse relationship has decoupled. Either DXY is moving on a non-dollar driver, or GC is moving on a non-rate driver.
  • VIX-ES correlation moves positive (both rising together): unusual; flag for further investigation.

Correlation shifts are information, not setups by themselves. They modify confidence in cross-asset reads.

The divergence flag

When two normally-correlated contracts move in opposite directions:

  • ES up, NQ down: flag. The S&P is rising while tech is falling. Maybe rotation; maybe signal that the rally is narrow.
  • ES down, NQ up: symmetric.
  • GC up, DXY up: rare; usually indicates a flight-to-safety move where dollar and gold both benefit from de-risking.

The divergence flag should slow the trader down. Whatever framework is being applied, ask: is the cross-asset signal consistent with my thesis?

14.4Asset-specific relationships

ES and NQ

  • Intraday correlation: 0.85 to 0.95 typical.
  • NQ is higher-beta; in trending sessions, NQ extends further than ES. For a Trend Day on equities, NQ targets are typically 1.3 to 1.5x the ES targets.
  • Decoupling: rare but informative. Reasons: a single major tech name moving (NVDA, MSFT, AAPL); a value vs growth rotation; a sector-specific news event.

NQ and individual tech components

For traders with screen real estate, watching the top 5 components of the Nasdaq-100 (NVDA, MSFT, AAPL, GOOGL, AMZN, plus their relative weights) gives a granular view of NQ leadership. If NQ is leading on one or two names, the trend is fragile.

GC, DXY, US10Y

  • GC is anti-correlated with DXY (~-0.7 daily).
  • GC is anti-correlated with real rates (10Y minus inflation expectations); on a trading day, the 10Y level alone is a workable proxy.
  • GC moves on three macro drivers simultaneously: dollar, real rates, inflation expectations. When all three align, GC moves cleanly. When they disagree, GC chops.

GC and SI

  • Silver is GC's higher-beta cousin. SI moves often exceed GC by 1.5 to 2x in magnitude.
  • SI is more retail-driven; flow profile differs.
  • Trade GC for cleaner institutional reads; trade SI for amplified moves on the same thesis.

CL and macro

  • Crude is influenced by: OPEC actions, inventory data (EIA Wednesdays), macro risk-on/off, energy-specific equity reads.
  • Strong risk-off can drive CL down sharply (recession proxy).
  • Strong risk-on can drive CL up.
  • Specific events (inventory, OPEC) can override macro for hours.

CL is the most news-sensitive of the four primary contracts in this book. Cross-market context for CL is energy-equity (XLE ETF or proxies), broader risk-on/off, and inventory schedule.

14.5The morning cross-market scan

A pre-market routine should include a 5 to 10-minute cross-asset scan:

Scan items

  1. VIX: current level, trailing 5-day range, percentile. Note any elevation or compression.
  2. DXY: overnight direction, position in trailing 14-day range.
  3. US10Y: overnight direction, level relative to recent range.
  4. ES, NQ overnight ranges: gap from prior close, overnight high/low.
  5. GC, CL overnight: macro-driven moves; news-driven moves to flag.
  6. Asia and EU session reads: has the move in Asia or Europe been carried through to US open? Or has it reversed?
  7. News calendar: scheduled events for the day.
  8. Earnings (for NQ specifically): any major component reporting before open or after close?

Output of the scan

A one-line risk-on/off classification for the day. A flagged list of any cross-asset divergences. Confidence level on the regime read.

This output feeds the open-type prediction (Chapter 13) and the framework selection (Frameworks doc Framework 0).

14.6Cross-market integration with the regime composite

The composite from Chapter 2 (ATR, BBW, KER, ADX) is computed on the contract being traded. Cross-market context provides an external check.

When cross-market agrees with composite

  • Composite says Range-Calm; VIX low, DXY ranging, 10Y ranging, ES-NQ correlation high.
  • Composite says Trend-Vol up; VIX moderate but stable, NQ outperforming, ES-NQ correlation high, risk-on indicators consistent.

Agreement strengthens conviction. Trade per the composite at standard size.

When cross-market disagrees with composite

  • Composite says Range-Calm but VIX is rising. Possible: equity-specific calm but macro is shifting. Reduce conviction.
  • Composite says Trend-Vol up but DXY rising sharply. Possible: dollar-driven move that may not sustain. Reduce conviction.
  • Composite says Trend-Vol down but ES-NQ are decoupling. Possible: rotation, not directional move. Reduce conviction.

Disagreement is a flag to reduce size and wait for confirmation.

When cross-market is informative beyond composite

The composite captures the contract's regime. Cross-market captures the macro's regime. They agree most of the time but not always; the cross-market read is what alerts you to the cases where the composite is missing context.

14.7Operational considerations

Dashboard layout

A working cross-market dashboard fits in a small portion of screen real estate:

  • VIX (current level, 5-day chart).
  • DXY (intraday chart).
  • US10Y (intraday chart).
  • Correlated futures (NQ if trading ES, ES if trading NQ, etc.).
  • News ticker for the day's scheduled events.

This can be a small dedicated browser tab or a corner of the trading platform's display. The investment is one screen-real-estate; the return is a regime context that catches errors the contract-level read alone misses.

How frequently to check

  • Pre-market: full scan.
  • Open: re-check for any overnight surprises.
  • 10:00, 11:00, 14:00 ET: brief 1-minute glance.
  • During the trade: a brief check before sizing if the trade is high-conviction.

The discipline is making the cross-asset check part of the routine, not an afterthought.

Cross-market and news

Around news events, cross-market behavior often diverges from normal. Watch for:

  • VIX spike on equity-specific news: confirms the news is real risk, not a one-off.
  • DXY move on rate news: confirms the rate shift is being priced.
  • Bond futures move on FOMC: the rates contract often moves first; equities react second.

14.8Failure modes specific to cross-market reading

  1. Over-reliance on cross-asset. Cross-market context is conditioning information, not a primary signal. The contract's own structure (price, levels, order flow) is what generates trades.

  2. Stale correlation assumptions. Correlations shift. The "ES-NQ correlation is 0.9" is true on average; on a specific day it may be 0.6 or 0.95. Always check the current.

  3. Misreading divergences. A divergence is a flag, not a trigger. Most divergences resolve back to the correlated state without producing tradeable opportunity in the divergent contract.

  4. Macro narrative bias. Reading the news headlines and overlaying them on the chart is a common error. The chart's price action incorporates the news already; trading on "I think this should react to the news" without confirmation in price is acting on personal narrative, not information.

  5. VIX mis-interpretation. A rising VIX during a falling equity market is normal, not informative. A rising VIX during a rising equity market is the unusual signal.

  6. Cross-asset noise. Some days the cross-asset signals are mixed and ambiguous. Forcing a regime classification on a mixed signal day is curve-fitting; better to acknowledge the ambiguity and reduce size.

14.9The integrated stack treatment

Cross-market context is Layer 8 of the institutional stack: structural levels (1) → volume profile (2) → AVWAP (3) → liquidity flags (4) → order-flow confirmation (5) → regime composite (6) → open-type classifier (7) → cross-market context (8).

Cross-market is the broadest layer. It does not generate tactical entries; it provides macro-regime conditioning that affects sizing and conviction.

A daily flow:

  1. Pre-market: cross-market scan; risk-on/off classification.
  2. Open: open-type classification per Chapter 13.
  3. 10:30 ET: regime composite locked.
  4. Trade: framework execution per Frameworks doc.
  5. Cross-market re-check at session phase boundaries.

The cross-market layer wraps the others; it does not replace them.

14.10Diagram concepts referenced in this chapter

  • D14.1: Cross-asset dashboard mockup. A clean layout showing VIX, DXY, US10Y, NQ, all on intraday timeframes with the contract's own chart in the center.
  • D14.2: Correlation matrix heatmap. A grid showing the 30-day rolling correlation between ES, NQ, GC, CL, DXY, US10Y, VIX. Color-coded.
  • D14.3: Risk-on / risk-off signature comparison. Two panels showing characteristic risk-on (calm, equities up, VIX low) and risk-off (volatile, equities down, VIX rising, DXY rising).
  • D14.4: ES-NQ divergence example. A rare day where ES and NQ moved in opposite directions; what the cross-market read showed in real time.
  • D14.5: GC, DXY, US10Y three-panel chart. A multi-day chart showing the typical inverse relationship between GC and DXY, and the additional information from US10Y.

14.12Exercises

Exercise 14.1: Build a cross-market dashboard. On your platform, set up a layout with VIX, DXY, US10Y, and the correlated future for whatever contract you trade. Run for one week. Note how often the cross-market signals confirm vs. contradict your contract's own structure.

Exercise 14.2: 30-day correlation tracking. Compute and chart the rolling 30-day correlations between ES-NQ, GC-DXY, and ES-VIX over the last year. Note where the correlations shifted meaningfully. What was happening in the market when they shifted?

Exercise 14.3: Risk-on/off classification audit. For each of 30 trading days, classify the macro regime as risk-on, risk-off, or transitional based on cross-market signals. Cross-tabulate with the day's primary contract performance. Note the relationship.

Exercise 14.4: Divergence flag tracking. Track instances of ES-NQ divergence (correlation < 0.7 intraday) over a month. For each, what was the macro driver? Did the divergence resolve cleanly or persist?

Exercise 14.5: Cross-market in your trade plan. For the next 10 trades you take, add a cross-market line item to the trade plan template (Framework 7): "what does VIX/DXY/correlated future say about this thesis?" Note which trades' cross-market reads contradicted the trade thesis. Track outcomes.

End of Part III. Part IV opens with Chapter 15: From Discretionary to Systematic, the bridge from intuitive trading to validated, mechanical edges.