本指南仅供教育和信息参考，不构成投资建议、交易推荐或收益承诺。外汇及差价合约（CFD）交易涉及高杠杆，可能导致本金全部损失。任何分析方法都不能保证盈利。过往业绩不代表未来表现。所有交易决策及风险由投资者自行承担。请务必在交易前咨询合格财务顾问，并仅使用您能够承受损失的资金进行交易。
Forex Intermarket Analysis Guide, Covering Meaning, Use Cases, Evaluation, and Risks
1. What Is Forex Intermarket Analysis?
Forex intermarket analysis is a holistic approach to understanding currency movements by examining the relationships between foreign exchange and other major asset classes — namely commodities, government bonds, and equities. Rather than treating each market in isolation, intermarket analysis recognises that capital flows, risk appetite, and macroeconomic factors transmit across markets, creating predictable (though not guaranteed) correlations.
The concept gained prominence in the 1990s through the work of John Murphy, who formalised the intermarket framework in his book Intermarket Technical Analysis. The underlying principle is that markets are interconnected: a shift in bond yields affects currency valuations; commodity prices (especially oil and gold) influence commodity-exporting countries' currencies; and stock market performance reflects global risk appetite, which impacts safe-haven currencies like the USD and JPY.
According to the Bank for International Settlements (BIS) Triennial Survey, the forex market is the largest and most liquid financial market, with daily turnover exceeding $9.5 trillion. Intermarket analysis provides a macro lens to navigate this vast landscape, offering clues that are not visible from price action alone. However, correlations are dynamic and can break down during periods of stress — a key risk we will examine later.
2. Core Intermarket Correlations
While no relationship is perfect, several historically robust correlations form the backbone of intermarket analysis:
💵 USD & Gold
Traditionally inverse: when the US dollar strengthens, gold prices tend to fall, and vice versa. Gold is priced in USD, so a stronger dollar makes gold more expensive for foreign buyers, reducing demand.
🛢️ Oil & CAD
The Canadian dollar (CAD) is positively correlated with crude oil prices due to Canada's significant oil exports. Rising oil prices tend to boost CAD.
📈 AUD & Commodities
The Australian dollar (AUD) is often linked to commodity prices, particularly iron ore and coal, as Australia is a major exporter.
🏦 Bonds & Currencies
Rising government bond yields (especially US Treasuries) can attract foreign capital, strengthening the USD. Conversely, falling yields may weaken it.
📊 Equities & Risk On/Off
When global equities rally (risk-on sentiment), investors tend to sell safe-haven currencies like JPY and CHF, buying higher-yielding currencies like AUD and NZD. Risk-off periods reverse these flows.
🇪🇺 EUR & German Bunds
The euro often correlates with the spread between German and US bond yields. A widening spread (higher US yields) typically weighs on EUR/USD.
These relationships are not fixed; they can change due to shifts in central bank policy, geopolitical events, or structural changes in the economy. The Federal Reserve's notes on foreign exchange risk management emphasise that correlations should be monitored over time and not assumed to be stable.
3. How Intermarket Analysis Works
Intermarket analysis involves a multi-step process that integrates data from different asset classes to form a cohesive view. The typical workflow is:
- Step 1 – Establish the macro backdrop: Analyse interest rate expectations, inflation data, and central bank communications (e.g., FOMC minutes, ECB statements). These drive bond yields and, consequently, currency valuations.
- Step 2 – Assess risk sentiment: Monitor equity indices (S&P 500, Nikkei 225) and volatility indices (VIX) to gauge risk appetite. Risk-on favours commodity currencies; risk-off favours safe havens.
- Step 3 – Evaluate commodity prices: Track key commodities (gold, oil, copper) that affect specific currencies. For instance, a sustained rise in oil prices often supports the Norwegian krone (NOK) and CAD.
- Step 4 – Identify divergences or confirmations: Compare the directional signals from each asset class. A divergence (e.g., USD rising while gold also rises) may signal a potential reversal or a changing correlation.
- Step 5 – Trade execution & risk management: Use the combined signals to time entries, set stop-losses, and adjust position sizes based on the strength of the intermarket confluence.
4. Use Cases & Practical Scenarios
Intermarket analysis is applied across different trading styles and timeframes. Here are three realistic scenarios:
A trader observes that the 10-year US Treasury yield is rising relative to the German Bund yield, indicating a widening interest rate differential. Historically, this has preceded a stronger USD. The trader enters a short position on EUR/USD, placing a stop-loss above a recent resistance level. They monitor the spread daily and adjust their position if the yield differential reverses.
A corporate treasurer of an Australian mining company anticipates a decline in iron ore prices. To hedge against the potential negative impact on the Australian dollar (AUD), they sell AUD/USD forward contracts, effectively locking in a higher exchange rate. This intermarket hedge protects the company's USD-denominated revenues.
A retail trader sees global equity markets rallying, the VIX falling, and commodity prices firming. These intermarket signals suggest risk-on sentiment. The trader goes long on AUD/JPY, as the Australian dollar (commodity currency) tends to benefit from risk-on flows, while the yen (safe haven) weakens. They set a take-profit at a key resistance level and a stop-loss below the recent swing low.
5. Analysis Framework & Decision Table
The following table compares the four main asset classes and their typical relationships with major currency pairs. Use this as a reference when building your intermarket view:
| Asset Class | Typical Correlation with | Direction | Key Drivers |
|---|---|---|---|
| Gold | USD | Inverse | Inflation expectations, real yields, geopolitical risk |
| Crude Oil | CAD, NOK | Positive | Supply/demand, OPEC decisions, global growth |
| US Treasuries (10Y) | USD | Positive (yield up = USD up) | Fed policy, inflation, economic data |
| S&P 500 | AUD, NZD (risk-on) | Positive | Corporate earnings, risk appetite, liquidity |
| Japanese Equities (Nikkei) | USD/JPY (loose correlation) | Positive (when JGB yields rise) | BoJ policy, global yield differentials |
| Copper | AUD, Chilean Peso | Positive | Industrial demand, China growth |
These correlations are directional but not absolute. For example, during the 2015 Swiss franc shock, many traditional correlations broke down. Always verify current relationships with up-to-date data from sources like Bloomberg or Reuters, and confirm that your broker's platform provides the necessary cross-market data.
6. Evaluation & Implementation Checklist
To effectively incorporate intermarket analysis into your trading routine, follow this practical checklist:
- Data access: Ensure you have real-time or near-real-time data for bonds, commodities, and equities — many brokers provide this via their platforms.
- Historical correlation analysis: Use statistical tools to calculate rolling correlations (e.g., 30-day, 90-day) for the asset pairs you trade.
- Macroeconomic calendar: Keep track of central bank meetings, employment reports, and inflation data that can shift intermarket relationships.
- Risk-on/off gauge: Monitor the VIX, credit spreads, and high-yield bond performance to assess prevailing risk sentiment.
- Divergence monitoring: Regularly scan for divergences between price action and intermarket indicators — these can be early reversal signals.
- Backtesting: Test your intermarket strategy on historical data before deploying it with real capital. Use a demo account to fine-tune.
- Review frequency: Re-evaluate your intermarket assumptions weekly or after major economic events.
As per the NFA's investor protection guidelines, traders should maintain a trading journal that includes intermarket observations, helping to refine the process over time.
7. Common Misconceptions & Mistakes
⚠️ Common mistakes in intermarket analysis
- Treating correlations as fixed. Intermarket relationships are dynamic and can break down during crises or structural shifts.
- Ignoring the time lag. Some markets react faster than others; e.g., bond markets often lead forex moves, but the lag can vary.
- Overcomplicating the analysis. Adding too many variables can lead to paralysis. Focus on the most relevant correlations for your currency pairs.
- Confusing correlation with causation. Just because two assets move together does not mean one causes the other. Look for the underlying economic driver.
- Neglecting central bank policy. Central bank actions can override typical intermarket signals — e.g., intervention in FX markets.
8. Risk Controls & Warnings
⚠️ 零售外汇与高杠杆交易风险提示
外汇及差价合约（CFD）交易属于高杠杆金融衍生品，风险极高。根据美国商品期货交易委员会（CFTC）的客户咨询，三分之二的外汇客户亏损，大多数场外零售客户在计入所有费用后最终亏损。高杠杆不仅放大潜在收益，也同等放大潜在损失，您可能损失全部存入资金，甚至在某些情况下承担超出初始保证金的额外损失。
在运用跨市场分析进行交易前，请务必：
- 始终将跨市场信号与传统技术分析和基本面分析结合使用。
- 为每笔交易设置明确的止损和止盈水平。
- 避免在极端市场波动期间过度依赖历史相关性。
- 定期审视您的分析假设，并根据市场变化进行调整。
- 仅使用您能够承受损失的资金进行交易。
- 如有疑问，可咨询持牌财务顾问或参考 CFTC 和 NFA 的投资者资源。
来源：基于 CFTC 客户咨询《外汇交易前您应了解的八件事》及 NFA/CFTC 零售外汇欺诈教育材料。
Risk Management Checklist for Intermarket Traders
- Define maximum loss per trade as a percentage of total capital (e.g., 1–2%).
- Use stop-loss orders that account for potential intermarket-driven volatility spikes.
- Reduce position size when intermarket signals are mixed or conflicting.
- Monitor open interest and volume in futures markets for confirmation.
- Keep a record of intermarket hypotheses and their outcomes for continuous improvement.