AI Prompt Library for AUD/USD Traders

AUD/USD is one of the most macro-sensitive pairs in the G10 universe. Iron ore prices, Chinese PMI prints, RBA rate decisions, and Fed dot-plot shifts can all move the pair 80–150 pips within a single session. Traders without a systematic way to process that information are effectively flying blind through the most data-dense currency pair in the Asia-Pacific corridor.

Generic AI prompts produce generic output. Asking ChatGPT to ’analyze AUD/USD’ returns the same boilerplate that every other trader receives — commodity sensitivity, risk-on correlation, carry dynamics. What separates actionable intelligence from noise is prompt specificity: the right variables, the right framing, and the right output format for your actual workflow.

This library gives you field-tested, AUD/USD-specific AI prompts built around the pair’s core drivers — RBA policy divergence, iron ore and copper correlation, USD Index positioning, and Chinese economic momentum. Each prompt is structured to return a decision-ready output, not an essay. Copy, paste, and trade with context.

Why AUD/USD Demands Its Own Prompt Framework

The Australian dollar is a commodity currency with a carry dimension. That dual identity means AUD/USD reacts to inputs that don’t touch EUR/USD or USD/JPY in the same way. A 3% drop in iron ore futures on the Dalian Commodity Exchange has historically preceded AUD/USD weakness within 24–48 hours — a signal most standard forex prompts are not configured to capture.

The RBA’s communication style also creates specific analytical requirements. The bank has historically been more data-dependent and less forward-guidance-heavy than the Fed or ECB, which means statement language parsing requires different weighting. A prompt that works for decoding Fed minutes needs to be restructured to extract signal from RBA governor commentary.

Building a prompt library around AUD/USD’s actual drivers — not generic forex variables — means your AI output is calibrated to the pair from the first token. The prompts below are built on that principle.

RBA Policy Divergence Prompts

Rate differentials between the RBA and the Fed are one of the most reliable medium-term drivers of AUD/USD direction. When the RBA is cutting while the Fed holds, or vice versa, the carry spread compresses or expands in ways that institutional flow follows with high fidelity. Your AI prompt needs to extract that divergence signal cleanly from text-heavy policy documents.

The following prompt is designed to parse RBA statements and map the language shift against the current Fed posture. Use it immediately after any RBA decision or minutes release. It returns a structured divergence score, not a summary.

You are a central bank policy analyst specializing in AUD/USD rate differentials.
Analyze the following RBA statement text: [paste statement here].
Identify: (1) forward guidance tone — hawkish, neutral, or dovish, with specific language evidence; (2) how this tone compares to the most recent Fed statement; (3) implied rate differential direction over the next 90 days; (4) estimated AUD/USD pressure — bullish, neutral, or bearish — based solely on policy divergence.
Return output as a structured four-point briefing, no prose narrative.

Commodity Correlation Analysis Prompts

Iron ore accounts for approximately 40% of Australia’s export revenue. When spot iron ore prices on the SGX decline sharply, AUD/USD tends to follow — not immediately, but within a lag window that typically runs 12–48 hours depending on whether the move is supply or demand driven. Copper adds a secondary signal, particularly when Chinese industrial demand is the common variable.

The prompt below takes current commodity price data and maps it against AUD/USD’s historical correlation to generate a near-term directional bias. Feed it live data from your broker platform or a commodity data source like Trading Economics or Quandl.

This prompt works best when run weekly, ahead of the Asian session open, when commodity market momentum from the prior week is being priced into Monday’s FX open.

You are a commodity-FX correlation analyst with expertise in AUD/USD.
I will provide you with the following data points: spot iron ore price (current and 5-day change), spot copper price (current and 5-day change), China Caixin Manufacturing PMI (most recent print), AUD/USD price (current level and weekly range).
Data: [insert data here].
Analyze: (1) whether commodity moves support or contradict current AUD/USD pricing; (2) which commodity signal — iron ore or copper — is carrying more weight this week based on the data; (3) a directional bias for AUD/USD over the next 3–5 trading days.
Return as a ranked signal table with a one-line directional conclusion.

Technical Setup Identification Prompts

AUD/USD trends cleanly during high-conviction macro periods and consolidates in tight ranges during uncertainty — particularly around Chinese data blackout windows and RBA meeting cycles. Identifying where you are in that regime is as important as the setup itself. A breakout prompt without regime context produces false signals at a disproportionate rate on this pair.

Use the prompt below when you have a chart annotation or level description ready. It returns a setup classification, invalidation level, and a risk-reward assessment based on the structure you describe — not a generic TA walkthrough.

• Paste your key support and resistance levels with context (e.g., ’prior weekly high’, ’RBA decision gap fill’)
• Include the current 14-day ATR to give the model volatility context
• Specify the timeframe you are trading — the model adjusts setup validity windows accordingly
• Add any macro event dates within the next 5 days so the prompt accounts for binary risk
• Specify your preferred entry mechanism — break-and-retest, limit order at structure, or market order on confirmation

You are a technical analyst specializing in G10 FX, with deep expertise in AUD/USD price structure.
I am analyzing AUD/USD on the [timeframe] chart. Key levels: [describe levels and their context]. Current 14-day ATR: [value]. Upcoming macro events: [list events and dates].
Evaluate: (1) whether the described structure constitutes a high-probability setup given current ATR; (2) the precise invalidation level; (3) a risk-reward ratio based on the nearest opposing structure; (4) whether the macro event schedule increases or reduces setup validity.
Return as a structured trade brief: Setup Type — Invalidation — Target — R:R — Event Risk Flag.

Chinese Economic Data Interpretation Prompts

China absorbs roughly 35% of Australia’s total exports. AUD/USD is, in practical terms, a partial proxy for Chinese economic health — and it trades like one. When the NBS Manufacturing PMI misses consensus, AUD/USD often opens the Asian session with a gap or a sharp directional move that sets the tone for the week.

The challenge is that Chinese data quality and revision patterns differ from Western releases. The prompt below is calibrated to assess Chinese data releases specifically for AUD/USD impact, accounting for the difference between NBS and Caixin readings and the historical reliability gap between the two series.

You are a China economic analyst assessing AUD/USD impact from Chinese macro data.
Recent releases: NBS Manufacturing PMI [value vs consensus], Caixin Manufacturing PMI [value vs consensus], China Fixed Asset Investment [value vs consensus], China Retail Sales [value vs consensus].
Analyze: (1) whether the NBS and Caixin readings are confirming or diverging, and what that divergence historically signals for AUD/USD; (2) which data point carries the most weight for iron ore demand and therefore AUD; (3) aggregate AUD/USD impact assessment — immediate and 1-week forward.
Return as a three-point impact brief with a directional bias rating: Strong Bullish / Mild Bullish / Neutral / Mild Bearish / Strong Bearish.

Risk Management and Position Sizing Prompts

AUD/USD volatility is not constant. The pair compresses during low-liquidity periods and expands sharply around RBA decisions, US NFP, and Chinese data releases. Applying a fixed position size across all these regimes is a structural error — one that this prompt set addresses by building regime-awareness into your sizing calculation.

The prompt below takes your account parameters and current market conditions and returns a position size recommendation that adjusts for the pair’s actual volatility at the time of the trade, not a static historical average.

• Account size and base currency must be specified — AUD/USD pip values differ materially from USD-denominated pairs when your account is in AUD
• Include your maximum risk per trade as a percentage, not a fixed dollar amount
• Provide the stop distance in pips based on your technical invalidation level
• Add the current 5-day realized volatility if available — the model uses it to flag whether your stop is inside or outside the noise band
• Specify whether you are trading through an upcoming binary event — the model applies an event risk multiplier to the recommended size