AI Prompt Library for S&P 500 (SPY) ETF Trading

SPY is the most liquid ETF on the planet — $400B+ in assets, 70M+ shares traded daily — yet most retail traders analyze it with the same blunt instruments they use on a micro-cap. The gap between how institutional desks interrogate index data and how individuals approach SPY is largely a workflow problem, not an intelligence problem. AI closes that gap, but only if you ask the right questions.

The stakes with SPY are specific: you are not picking a stock. You are positioning against the aggregate earnings power of 500 companies, Federal Reserve policy, volatility term structure, and options market mechanics all at once. A generic AI prompt returns generic output. A prompt engineered for SPY’s actual drivers — VIX spreads, sector rotation, macro regime, 0DTE flow — returns something actionable.

This library gives you copy-paste AI prompts built specifically for SPY workflows: pre-market context, technical setups, macro overlay, risk sizing, and post-trade review. Each prompt is designed to extract structured, specific output from any major LLM. Use them sequentially or independently depending on where you are in your trading session.

Pre-Market Context Prompt: Frame the SPY Session Before the Open

The 9:30 open is priced before it happens. SPY’s pre-market behavior is shaped by overnight futures, Asian and European index closes, early economic data releases, and Fed speaker calendars. Walking in without this framing is trading blind in the first 30 minutes — statistically the highest-volatility window of the session.

This prompt forces the AI to structure pre-market intelligence the way a macro desk would: catalyst hierarchy, directional bias, and key levels to watch. Run it between 8:00–9:15 AM ET using the most current data you can paste in.

• Paste in the current SPY pre-market price, ES futures change, and VIX level
• Include any scheduled economic releases (CPI, NFP, FOMC minutes) for the day
• Note any major S&P 500 constituents reporting earnings pre-market
• Add the prior day’s close, high, and low for SPY

You are a macro-aware equity analyst. Given the following pre-market data for SPY [paste data], structure a session brief covering: (1) the primary macro catalyst driving directional bias today, (2) whether pre-market movement is consistent with or diverging from VIX behavior, (3) the three most important price levels for SPY intraday — support, resistance, and a key decision level — with the reasoning for each. Be specific. Do not hedge every statement. Output in three labeled sections.

Technical Structure Analysis: Asking AI to Read the Chart Like a Pro

SPY’s technical structure behaves differently from individual equities because index reversion dynamics are stronger and breakouts require broader participation across sectors. A breakout in SPY above a key resistance level means sector rotation is aligned — that context matters when evaluating whether a setup has follow-through.

Most traders prompt AI with ’analyze this chart’ and receive a textbook description. The prompt below forces the model to evaluate SPY’s current structure against a specific timeframe thesis, identify the dominant pattern, and assign probability-weighted scenarios — not just describe what already happened.

• Specify the timeframe you are trading: 5-min, 1-hour, or daily
• Include recent swing highs and lows, key moving averages (20, 50, 200 SMA), and current price
• Note whether SPY is above or below its 200-day SMA — this anchors regime context
• Provide the last 5 daily closes and volume trend

Act as a technical analyst specializing in large-cap ETFs. For SPY currently trading at [price], with the following recent structure [paste OHLCV data and key MAs], identify: (1) the dominant chart pattern in play on the [timeframe] chart, (2) the two most probable price scenarios over the next [1 session / 5 sessions] with specific price targets and invalidation levels for each, (3) whether current volume behavior confirms or questions the pattern. Output as a structured scenario table followed by a one-paragraph directional thesis.

Macro Regime Overlay: Positioning SPY in the Fed and Rate Cycle

SPY doesn’t trade in isolation from rates. The correlation between 10-year Treasury yields and SPY forward P/E compression is one of the most durable relationships in markets. When real yields rise sharply, growth-heavy SPY components — technology, communication services — compress faster than the index headline suggests. Understanding where you are in the rate cycle changes how you weight SPY setups.

This prompt is built for a monthly or weekly macro review cadence. Feed it the current yield curve data, recent Fed communication, and inflation prints. The output should inform whether you are in a ’buy the dip’ regime or a ’sell the rip’ regime for SPY — two environments that require completely opposite default responses to the same price action.

• Include current 2-year and 10-year Treasury yields and the spread
• Paste the most recent core CPI and PCE readings
• Note the Fed’s current rate stance and next FOMC date
• Add SPY’s YTD return and its trailing 30-day realized volatility

You are a macro strategist. Given the following data [paste rates, inflation, Fed stance], assess the current regime for SPY: (1) Is the macro environment rate-supportive or rate-restrictive for equity multiples? Cite the yield data. (2) Which SPY sectors are most exposed to the current rate and inflation combination? (3) What is the appropriate default tactical bias for SPY over the next 30 days — accumulate weakness, reduce strength, or range-trade — and what single data point would change that view? Be direct. No scenario hedging without a base case.

Risk Sizing Prompt: Position Sizing SPY Around Volatility

SPY’s average true range expands and contracts dramatically across regimes. A 1% daily move in a low-VIX environment (VIX at 13) is a different risk event than a 1% move when VIX is at 25. Fixed-dollar position sizing ignores this and leads to either chronic under-exposure in calm markets or catastrophic over-exposure during volatility spikes.

The prompt below inputs your account size, current VIX, SPY’s recent ATR, and your max daily loss tolerance. It outputs a volatility-adjusted share count and a hard stop level — the two numbers you need before entering any SPY trade.

• Know your account size and the maximum dollar loss you accept per trade
• Pull SPY’s 14-day ATR from any charting platform before running this prompt
• Note the current VIX level and whether it is above or below its 20-day average
• Define your target reward-to-risk ratio before asking — 1.5:1 minimum is a reasonable floor

Act as a quantitative risk manager. I am trading SPY with a [account size] account. Current SPY price: [price]. 14-day ATR: [ATR]. Current VIX: [VIX]. My maximum acceptable loss per trade is [dollar amount]. Calculate: (1) the volatility-adjusted share size that keeps my loss within tolerance if price moves one ATR against me, (2) the specific stop-loss price level, (3) the profit target price at a [1.5 or 2]:1 reward-to-risk ratio. Show the arithmetic. Then flag if the current VIX level suggests I should reduce standard size and by what percentage.

Post-Trade Review Prompt: Debrief Every SPY Trade Systematically

Edge in SPY trading erodes silently. Because the ETF is so liquid and mean-reverting tendencies are strong, it is easy to confuse luck with process — a bad entry that resolves profitably feels like a good trade. Without structured post-trade review, traders accumulate bad habits masked by SPY’s tendency to recover.

Run this prompt after every completed SPY trade, win or loss. The goal is not to feel good or bad about the outcome — it is to isolate whether your process matched your pre-defined criteria and where the decision chain broke down or held.

• Record exact entry price, exit price, stop level, and target before reviewing
• Note the VIX level and time of day at entry
• Document whether the trade matched a defined setup from your playbook
• Include the emotional state at entry — rushed, confident, uncertain — as an input

You are a trading coach reviewing a completed SPY trade. Here are the details: Entry [price], Exit [price], Stop [price], Target [price], Setup thesis [describe], VIX at entry [VIX], Time of day [time], Outcome [profit/loss in dollars and percent]. Evaluate: (1) Did the entry logic match the stated setup thesis? Where was the thesis strongest and weakest? (2) Was the exit — whether at stop, target, or discretionary — consistent with the pre-trade plan? (3) What is the one process improvement for the next similar SPY setup? Be critical. Do not simply validate the outcome.