Professional traders who use AI aren't using it to predict markets — they're using it as a thinking partner. They feed it data, ask it structured questions, and use it to surface patterns, stress-test theses, and eliminate emotional noise from their decision process. The prompt is everything. A vague question gets a generic response. A structured prompt with specific parameters gets analysis that actually informs a trade.
This guide documents 8 prompts used by active traders for specific workflow stages: pre-market preparation, technical analysis, market sentiment, real-time alert structuring, risk management, trade journaling, options flow analysis, and weekly portfolio review. Each prompt is production-ready — built for ChatGPT-4 but works with any frontier model.
💡 How to use these prompts
These prompts are workflow tools, not financial advice. Replace [BRACKETED] fields with your specific ticker symbols, positions, risk parameters, and trading style. Use these in ChatGPT-4, Claude, or Gemini alongside your charting tools and broker data.
Important: AI cannot predict market movements. These prompts are for analysis, pattern recognition, journaling, and systematic thinking — not buy/sell signals.
⚠️ Risk Disclaimer
Risk warning: These AI prompts are for educational and research purposes only. They do not constitute financial advice, investment advice, or trading recommendations. Trading involves significant risk of loss. Always consult a qualified financial advisor and follow proper risk management principles.
1
Pre-Market Preparation Prompt
Use case: Building a structured pre-market brief covering overnight news, levels to watch, and trade thesis for the day
Create a pre-market trading brief for [DATE]. I trade [INSTRUMENTS: "US equities" / "crypto futures" / "forex pairs"], focusing on [SECTOR/NAMES: e.g. "tech sector: NVDA, MSFT, AAPL" / "BTC and ETH" / "EUR/USD, GBP/USD"].
Structure the brief as:
1. OVERNIGHT DEVELOPMENTS: Key news, earnings, macro data released since yesterday's close that affect my instruments
2. KEY LEVELS: For each instrument, identify (a) prior session high/low, (b) key support/resistance from recent price action, (c) any gap levels
3. CATALYST WATCH: Scheduled events today (Fed speakers, earnings, economic data releases, FOMC) and their potential market impact
4. TRADE THESIS: For each instrument, one potential long setup and one potential short setup with entry criteria
5. RISK ENVIRONMENT: Overall market risk-on/risk-off assessment based on VIX, DXY, and futures pre-market
Use data through [DATE]. Note: Flag if any analysis requires real-time data you don't have.
Why it works: Structures the pre-market analysis into 5 distinct sections that prevent traders from skipping uncomfortable data (like a strong opposing thesis). The explicit "flag if missing data" instruction is critical — it stops AI from fabricating current prices.
2
Technical Analysis Breakdown Prompt
Use case: Getting a structured technical read on a specific instrument before entering a trade
Perform a multi-timeframe technical analysis for [TICKER: e.g. "NVDA"] based on the following price data:
[PASTE YOUR PRICE DATA OR DESCRIBE: "Daily: last 10 candles show..." / "Current price: $X, 50-day MA: $Y, 200-day MA: $Z"]
Analyze across three timeframes:
- WEEKLY: Trend direction, key weekly S/R levels, volume pattern
- DAILY: Chart pattern (if identifiable), momentum indicators (RSI, MACD), distance from key moving averages
- 4H/1H: Entry trigger setup, ideal entry zone, invalidation level
Then provide:
- TRADE SETUP SUMMARY: Direction bias, entry range, stop loss level (% and price), target 1 and target 2, risk/reward ratio
- CONFIRMATION SIGNALS: What you'd need to see to confirm entry (e.g., "break and hold above $X on volume > 30-day average")
- INVALIDATION: The price/condition that kills this thesis
Be specific about price levels. Flag assumptions where my data is insufficient.
Why it works: Forces multi-timeframe analysis instead of single-chart confirmation bias. The explicit invalidation requirement makes traders define their exit thesis before entry — the single most important habit professional traders have that retail traders skip.
3
Market Sentiment Analysis Prompt
Use case: Reading market sentiment for a specific stock or sector before entering a position
Analyze current market sentiment for [STOCK/SECTOR: e.g. "semiconductor sector" / "TSLA" / "banking sector post-SVB"]:
SENTIMENT INPUTS (provide what you have):
- Recent analyst ratings/price target changes: [PASTE OR DESCRIBE]
- Recent news headlines: [PASTE 3-5 HEADLINES]
- Options market data: [e.g. "put/call ratio: 0.8, IV: 45%" / "unknown"]
- Short interest: [e.g. "12% of float" / "unknown"]
- Retail sentiment proxy: [e.g. "trending on Reddit/StockTwits with bullish bias" / "unknown"]
Assess:
1. INSTITUTIONAL SENTIMENT: Likely positioning based on analyst moves and options data
2. RETAIL SENTIMENT: Crowding risk and sentiment extreme indicators
3. NARRATIVE RISK: Key bearish catalysts that could break current sentiment
4. SENTIMENT EDGE: Where the market consensus might be wrong, and why
5. POSITIONING RECOMMENDATION: Given sentiment, would entering long/short now be with or against the crowd — and what's the contrarian case?
Why it works: Separates institutional from retail sentiment — the two often diverge in ways that create trading edges. The "sentiment edge" section forces the model to articulate where consensus might be wrong, which is more useful than confirming existing bias.
4
Trading Alert Structure Prompt
Use case: Building a systematic alert framework for monitoring multiple positions and triggers
Help me build a trading alert framework for my [NUMBER] active positions. For each position:
[POSITION 1: e.g. "Long NVDA @ $890, stop $870, target $940"]
[POSITION 2: e.g. "Short SPY puts, expiry [DATE], underlying at $520"]
[POSITION 3: Add more as needed]
For each position, define:
1. PRICE ALERTS: Exact price levels to alert (entry confirmation, scale-in trigger, stop approach warning, target approach)
2. TIME-BASED CHECKPOINTS: When to reassess (e.g., "review thesis if price hasn't moved X% by EOD")
3. CORRELATION ALERTS: Market conditions that invalidate the thesis regardless of price (e.g., "VIX spike above 25", "sector rotation signal")
4. CATALYST ALERTS: Upcoming events that require position adjustment (earnings dates, FDA decisions, FOMC)
5. SIZING RULES: Under what conditions should I size up vs. trim vs. exit
Output as a structured alert checklist I can use with my broker's alert system.
Why it works: Most traders set one price alert and forget other invalidation conditions. This prompt forces a complete alert ecosystem — price, time, correlation, catalyst, and sizing — that professional risk managers use but retail traders never implement systematically.
5
Risk Management Review Prompt
Use case: Stress-testing a portfolio of positions for correlated risk and position sizing errors
Review my current trading portfolio for risk concentration and sizing errors:
PORTFOLIO:
[List your positions: ticker, direction, size in $, stop level]
Example:
- Long NVDA: $10,000, stop -8%
- Long AMD: $8,000, stop -7%
- Long SMCI: $5,000, stop -10%
- Short TLT: $6,000, stop +5%
- Total account: $50,000
Analyze:
1. CONCENTRATION RISK: Correlated positions (same sector, same macro factor exposure, same earnings date cluster)
2. MAXIMUM DRAWDOWN SCENARIO: If worst case hits simultaneously across correlated positions, what's the % loss?
3. POSITION SIZING ERRORS: Flag any position where risk per trade exceeds [2%] of account
4. KELLY CRITERION CHECK: Based on my stated win rate [e.g. 55%] and avg win/loss ratio [e.g. 1.8:1], what's the optimal position size per trade?
5. RECOMMENDATIONS: Specific position adjustments to reduce correlated exposure and right-size outliers
Why it works: Retail traders often think they're diversified because they own different tickers. This prompt exposes correlation clustering (three semiconductor longs are one position). The maximum simultaneous drawdown calculation is the number every professional knows and most retail traders have never computed.
6
Trade Journal Analysis Prompt
Use case: Extracting patterns and lessons from a batch of completed trades
Analyze my last [NUMBER] completed trades and identify patterns in my trading behavior:
TRADE LOG:
[Paste your trade data: date, instrument, direction, entry, exit, P&L, and optionally your notes]
Example format:
- 2026-05-01 | TSLA | Long | Entry: $180 | Exit: $172 | Loss: -$400 | Note: "chased breakout, no pullback entry"
- 2026-05-02 | AAPL | Long | Entry: $190 | Exit: $197 | Win: +$700 | Note: "waited for confirmation"
[Continue...]
Analyze:
1. WIN RATE BY SETUP TYPE: Do I win more on breakouts, pullbacks, or reversals?
2. TIMING PATTERNS: Do I perform better on certain days/times? Do I overtrade late in the day?
3. EMOTIONAL PATTERNS: Based on notes, identify revenge trading, overconfidence after wins, fear after losses
4. RISK/REWARD ACTUAL vs. PLANNED: Did I stick to my planned stops and targets?
5. TOP 3 BEHAVIORAL EDGES: My actual documented advantages
6. TOP 3 BEHAVIORAL LEAKS: My documented mistakes, with specific correction suggestions
Why it works: Trade journaling without analysis is just bookkeeping. This prompt turns trade data into behavioral feedback. The "emotional patterns" section surfaces trading psychology problems that pure P&L analysis hides — revenge trading and overconfidence after winning streaks destroy more accounts than bad setups.
7
Options Flow Analysis Prompt
Use case: Reading unusual options activity to identify potential institutional positioning
Help me interpret the following unusual options activity for [TICKER]:
OPTIONS FLOW DATA:
[Paste your options flow data or describe it]:
- Example: "10,000 NVDA $950 calls bought, expiry [DATE], premium $2.5M, stock at $890"
- Example: "Large put sweep: 5,000 SPY $500 puts, 0DTE, bought at ask"
For each flow:
1. POSITIONING INTERPRETATION: Is this likely a hedge, a directional bet, or a volatility play?
2. INSTITUTIONAL vs. RETAIL SIGNAL: Size, timing, and structure signals about the buyer type
3. IMPLIED MOVE: What price move does this options position profit from? At what price does it expire worthless?
4. CORRELATION CHECK: Does this flow confirm or contradict current price action and technicals?
5. TRADE IMPLICATION: Based on this flow, what (if any) directional signal exists for equity traders — and what's the confidence level?
Note: Unusual options flow is one signal, not a trade thesis. Flag the limitations of this analysis.
Why it works: Options flow is widely misread by retail traders who treat every large purchase as a directional bet. This prompt forces the model to distinguish between hedges, directional bets, and volatility plays — and explicitly flag when the flow is ambiguous. The "confidence level" output prevents false conviction.
8
Weekly Portfolio Review Prompt
Use case: Conducting a systematic end-of-week performance review to identify improvements for the next week
Conduct my weekly trading performance review for the week of [DATE RANGE]:
WEEKLY DATA:
- Net P&L: [$X]
- Trades taken: [NUMBER]
- Winners: [NUMBER] | Losers: [NUMBER] | Scratch: [NUMBER]
- Biggest winner: [DESCRIBE]
- Biggest loser: [DESCRIBE]
- Market context this week: [Brief summary: "Tech selloff due to earnings, rotation into value, VIX spiked to 22"]
MY TRADING PLAN for this week stated: [What were your weekly goals and rules?]
Analyze:
1. PLAN ADHERENCE: Did I follow my trading plan rules? Where did I deviate?
2. MARKET READING: Did I correctly identify the week's primary market regime (trending/ranging/choppy)?
3. BEST DECISION: The one trade or decision this week that reflects my best trading
4. WORST DECISION: The one trade or decision this week that I should not repeat — with a specific process fix
5. NEXT WEEK PREP: Based on this week's price action, what are the key themes and setups to watch next week?
6. PROCESS IMPROVEMENT: One specific, measurable change to make to my trading process next week
Why it works: Most traders review P&L but not process. The "plan adherence" section forces the comparison between what you intended to do and what you actually did — the gap between those is where all behavioral trading mistakes live. The "one specific process change" output creates an actionable habit loop.
How Professional Traders Actually Use AI (Without Getting Burned)
AI is a powerful analysis tool for traders — but only when used within a disciplined framework. Here's what distinguishes how professional traders use AI versus how retail traders use it:
- AI is a thinking partner, not a signal generator. Professional traders use AI to structure their analysis, surface questions they haven't asked, and stress-test their thesis. They never use it to get buy/sell signals. Markets are non-deterministic — any AI claiming to predict price movements is either lying or about to be wrong.
- Always flag real-time data limitations. AI models have training cutoffs. When using AI for trading analysis, explicitly ask it to flag where it lacks current data. "Note: Flag if any analysis requires real-time data you don't have" prevents hallucinated price levels and fake statistics.
- Use AI for the parts of trading that traders are worst at. Behavioral discipline — sticking to stops, avoiding revenge trades, journaling honestly — is where most traders lose money. AI is excellent at enforcing structured review processes and surfacing behavioral patterns you'd prefer not to notice.
- Structured prompts beat conversational questions. "What do you think about NVDA?" is useless. A structured prompt with numbered outputs, specific data inputs, and explicit limitations gets analysis you can actually use. The structure forces you to provide the data — which often clarifies your thesis before AI even responds.
- Risk management prompts are the highest ROI use case. Correlation analysis, position sizing checks, and drawdown scenario modeling are mechanical tasks that AI does faster and more consistently than manual calculation. These are the prompts where AI saves real money, not the ones that predict direction.
⚠️ Risk Warning
Trading involves significant risk of capital loss. These AI prompts are analysis tools, not financial advice. Past performance of any prompt or strategy does not guarantee future results. Always trade with capital you can afford to lose and consult a licensed financial advisor for personalized advice.
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For more professional trading prompts, explore the full PromptSonar prompt library with 130+ expert-crafted prompts across 10 verticals, or try our AI Prompt Generator to build custom analysis prompts for your specific instruments. Also see our earlier guide: AI Prompts for Day Trading covering technical analysis, market sentiment, and risk management basics.