The 20 Prompts Every Trader Should Have Before They Touch a Chart

Most efficient prompts for traders

Most traders do not have a trading problem.

They have a thinking problem.

More specifically, they have a language problem.

They open a chart, see a candle move, feel something in their nervous system, then pretend that feeling is “market intuition.” Humanity survived plagues and invented semiconductors, only to let grown adults call impulse trading a strategy. Beautifully tragic.

The modern trader is drowning in tools: TradingView, Bloomberg, Twitter, Discord, ChatGPT, macro dashboards, order flow tools, options scanners, sentiment feeds, Telegram channels, broker apps, newsletters, and whatever fresh hallucination machine someone launched last Tuesday.

But the bottleneck is not access to information.

The bottleneck is judgment.

A trader does not need more random indicators. A trader needs a repeatable operating system for asking better questions. This is where prompts matter.

Not “write me a trading strategy” prompts. That is beginner cosplay. The real value of AI for traders is not asking it to predict tomorrow’s price like a digital fortune cookie. The value is using AI as a reasoning compressor: turning noise into structure, structure into scenarios, and scenarios into tradeable decision paths.

This essay gives you 20 prompts every trader should have in their research workflow.

Use them before entries. Use them after losses. Use them when the market feels obvious. Especially use them when the market feels obvious, because that is usually when the trap has already been built.

This is not investment advice. It is a thinking toolkit. The market will still happily punish you for laziness, overconfidence, bad sizing, and pretending “conviction” is a risk model.

1. The Regime Identification Prompt

Before asking what to trade, ask what kind of market you are in.

Prompt:

Act as a cross-asset macro strategist. Identify the current market regime using equities, rates, FX, commodities, credit, volatility, and liquidity conditions.

Classify the regime into one of the following:
1. Risk-on liquidity expansion
2. Risk-off deleveraging
3. Inflation shock
4. Growth slowdown
5. Policy repricing
6. Dollar funding stress
7. Volatility compression
8. Volatility expansion

For each asset class, explain what signal supports or contradicts the regime. Then give me the top 3 variables that could invalidate this regime.

Why it matters:

Most traders analyze assets in isolation. That is how you end up buying a breakout in equities while rates, dollar, credit, and volatility are quietly screaming that the move is fragile. The regime defines the playing field.

A good trader does not ask, “Is this bullish?”

A good trader asks, “What regime would make this bullish, and are we actually in that regime?”

2. The Market Is Actually Trading What Prompt

Every market headline tells you what people are talking about.

That is not always what the market is trading.

Prompt:

Given the latest market moves and news, separate the media narrative from the actual market driver.

Use this structure:
- Headline narrative:
- What the market is actually trading:
- Primary transmission channel:
- Asset class confirming the move:
- Asset class rejecting the move:
- What would prove the market is wrong:
- What would prove the market is right:

Why it matters:

Markets often trade the second-order effect, not the headline. An oil shock is not just about oil. It is about inflation expectations, real yields, central bank reaction functions, equity multiples, and consumer margins.

The headline is the bait.

The transmission channel is the trade.

3. The Cross-Asset Confirmation Prompt

A signal that only appears in one asset class is weaker than a signal confirmed across multiple markets.

Prompt:

Analyze whether this trade idea is confirmed across asset classes.

Trade idea:
[Insert trade idea]

Check confirmation from:
- Equity index behavior
- Sector rotation
- Treasury yields
- Yield curve
- Dollar index
- Gold
- Oil
- Credit spreads
- Volatility index
- Options skew
- Liquidity indicators

Classify each as:
1. Confirms
2. Contradicts
3. Neutral
4. Lagging

Then give the final confidence level and explain what needs to happen before the trade becomes high conviction.

Why it matters:

If your long equity idea is not confirmed by credit, rates, volatility, or sector leadership, it may still work, but it is probably a thinner trade.

Cross-asset confirmation prevents you from worshipping one chart like it came down from Mount Sinai with a moving average crossover carved into stone.

4. The Trade Setup Decomposition Prompt

Most trade ideas fail because they are vague.

“Bullish gold” is not a trade.

A trade requires entry logic, timing, invalidation, sizing, and regime context.

Prompt:

Decompose this trade idea into a complete professional trade setup.

Trade idea:
[Insert idea]

Output:
- Core thesis
- Regime assumption
- Entry trigger
- Best instrument
- Time horizon
- Position sizing logic
- Stop-loss logic
- Take-profit logic
- Key confirmation signals
- Key invalidation signals
- What could go wrong
- Whether this is a trend trade, mean-reversion trade, hedge, or optionality trade

Why it matters:

A thesis without an invalidation point is just a personality disorder wearing a finance costume.

This prompt forces the trade to become operational.

5. The Opposite Side Prompt

If you cannot argue the other side, you do not understand your own trade.

Prompt:

I am considering this trade:
[Insert trade]

Build the strongest possible argument against it.

Do not be polite. Assume I am biased. Identify:
- What I may be missing
- What data contradicts my thesis
- What positioning risk exists
- What crowded narrative I may be joining
- What event could cause immediate failure
- What smarter traders on the other side might be seeing
- What would make me exit before the stop is hit

Why it matters:

The market does not reward emotional loyalty to your idea. It rewards survival.

This prompt is especially useful before entering trades that feel “obvious.” The more obvious a trade feels, the more aggressively you should interrogate it.

Obvious trades are where liquidity goes to die.

6. The Positioning Trap Prompt

Many trades are not wrong because the thesis is wrong. They are wrong because everyone already owns the thesis.

Prompt:

Analyze whether this trade is vulnerable to a positioning trap.

Trade:
[Insert trade]

Check:
- Is the narrative crowded?
- Are flows likely already positioned?
- Is price extended relative to recent volatility?
- Is options positioning one-sided?
- Are CTAs/systematic funds likely to add or reduce exposure?
- Where are stop-loss clusters likely located?
- What catalyst could force a reversal?
- What would a squeeze look like?
- What would a liquidation look like?

Why it matters:

A good idea bought too late is a bad trade.

Positioning turns correct narratives into losing entries. This is one of the most painful lessons in trading, mostly because humans insist on learning it with real money instead of with one clean prompt. Charming species.

7. The Liquidity Conditions Prompt

Liquidity decides how far narratives can travel.

Prompt:

Assess the current liquidity backdrop for this trade.

Trade or asset:
[Insert asset/trade]

Analyze:
- Central bank liquidity
- Treasury issuance / refunding pressure
- Bank reserves
- Dollar funding conditions
- Repo stress
- Credit spreads
- Market depth
- Volatility conditions
- Seasonal liquidity effects
- Whether liquidity supports trend continuation or increases reversal risk

Conclude with:
- Liquidity tailwind
- Liquidity headwind
- Neutral
- Fragile / unstable

Why it matters:

Liquidity is the oxygen of price action.

When liquidity is abundant, bad narratives can rally. When liquidity disappears, even good assets get sold because someone somewhere needs cash.

Do not confuse valuation with liquidity.

The market often does not care what something is worth until after everyone has finished panicking.

8. The Volatility Regime Prompt

Every trade is secretly a volatility trade.

Prompt:

Analyze the volatility regime for this asset.

Asset:
[Insert asset]

Check:
- Implied volatility level
- Realized volatility trend
- IV vs RV relationship
- Volatility term structure
- Skew
- Event risk
- Whether options are cheap or expensive
- Whether the better expression is spot, options, spread, or hedge

Then classify:
1. Long volatility environment
2. Short volatility environment
3. Gamma trap
4. Volatility compression
5. Volatility expansion
6. Event premium regime

Why it matters:

You can be right on direction and still lose money through timing, theta, volatility crush, or bad instrument choice.

Spot traders think in price.

Options traders think in distribution.

Professional traders think in expression.

9. The Catalyst Calendar Prompt

A trade without a catalyst can sit there rotting while your capital is trapped in boredom, that most underrated form of financial violence.

Prompt:

Build a catalyst calendar for this trade idea.

Trade idea:
[Insert trade]

List upcoming catalysts over:
- Next 24 hours
- Next 3 days
- Next 1 week
- Next 1 month

Include:
- Economic data
- Central bank events
- Earnings
- Treasury auctions
- Geopolitical events
- Options expiry
- Positioning reset dates
- Policy deadlines

For each catalyst, explain whether it can accelerate, invalidate, or delay the trade.

Why it matters:

Timing is not a detail. Timing is the trade.

If your thesis needs three months but your instrument bleeds daily, you do not have a trade. You have a slow leak.

10. The Trade Expression Prompt

The same thesis can be expressed many ways. Most traders choose the laziest one.

Prompt:

Given this market thesis, find the best trade expression.

Thesis:
[Insert thesis]

Compare:
- Spot / futures
- Options
- Spreads
- Pair trades
- Sector rotation
- Cross-asset hedge
- Relative value trade
- Volatility structure
- Event-driven expression

For each expression, compare:
- Upside
- Downside
- Carry cost
- Timing risk
- Liquidity
- Convexity
- Complexity
- Best use case

Then recommend the cleanest expression for a small account and for an institutional account.

Why it matters:

“Buy Nasdaq” and “long call spread on semis” may reflect similar views, but they behave differently under volatility, time decay, and drawdown pressure.

Expression is where amateurs become professionals.

Or where amateurs discover theta, usually while making a face like civilization has betrayed them.

11. The Small Account Survival Prompt

Small accounts do not die because traders lack ideas.

They die because traders overtrade, oversize, chase, and refuse to respect execution.

Prompt:

Convert this trade idea into a small-account survival version.

Trade idea:
[Insert trade]

Constraints:
- Small capital base
- Avoid overleverage
- Avoid liquidation risk
- Avoid chasing fast candles
- Prioritize defined risk
- Avoid instruments with poor liquidity
- Include max loss before entry
- Include when not to trade

Output:
- Safer version of the trade
- Instruments to avoid
- Entry discipline
- Stop logic
- Max risk per trade
- Conditions where no trade is the best trade

Why it matters:

Small account trading is not about maximizing profit.

It is about staying alive long enough to become dangerous.

The first job is not to get rich. The first job is to not get deleted.

12. The Execution Filter Prompt

Many traders have decent ideas and terrible execution.

Prompt:

Create an execution filter for this trade.

Trade:
[Insert trade]

Define:
- Ideal entry zone
- Bad entry zone
- No-trade zone
- Acceptable spread
- Maximum slippage
- Time of day to avoid
- News windows to avoid
- Liquidity conditions required
- Confirmation needed before entry
- What price action means “wait”
- What price action means “cancel the trade”

Why it matters:

Execution is not a small detail at the end of research.

Execution is where research meets reality and reality starts charging fees.

Especially in fast markets, the difference between a good entry and a stupid entry can be the entire edge.

13. The Drawdown Diagnosis Prompt

A losing streak is not always a strategy failure.

Sometimes it is regime mismatch. Sometimes it is execution. Sometimes it is emotional revenge trading wearing a little fake mustache.

Prompt:

Analyze my recent trading drawdown.

Here is my trade log:
[Paste trade log]

Diagnose losses by category:
- Bad thesis
- Good thesis, bad timing
- Good thesis, bad execution
- Oversizing
- Chasing
- Ignoring invalidation
- Regime mismatch
- Overtrading
- Poor instrument selection
- Random variance

Then identify:
- The 3 most expensive mistakes
- The pattern I repeat
- What rule would have prevented the most damage
- What I should stop trading temporarily
- What I should reduce or simplify

Why it matters:

You cannot improve what you refuse to categorize.

A drawdown without diagnosis becomes superstition. Traders start blaming “market makers,” “algos,” “manipulation,” or Mercury being in retrograde, because apparently accountability was too much cardio.

14. The Post-Trade Review Prompt

The trade is not finished when you exit.

The trade is finished when you extract the lesson.

Prompt:

Review this completed trade.

Trade details:
[Insert entry, exit, size, thesis, chart context, result]

Evaluate:
- Was the original thesis valid?
- Was the entry justified?
- Was the exit planned or emotional?
- Did I follow my risk rules?
- Did the market behave as expected?
- What was the earliest warning sign?
- What did I do well?
- What should change next time?
- Should this setup remain in my playbook?

Why it matters:

Most traders collect PnL.

Professionals collect pattern recognition.

Every trade should either make money or make your system smarter. Ideally both. But since markets enjoy comedy, you usually get one at a time.

15. The News-to-Trade Prompt

Not every important story is tradeable.

Prompt:

Convert this news event into a tradeability assessment.

News:
[Paste news]

Analyze:
- Is this actually market-moving?
- Which asset class reacts first?
- Which asset class reacts second?
- Is this already priced in?
- What is the transmission mechanism?
- What is the obvious trade?
- Why might the obvious trade fail?
- What is the cleaner second-order trade?
- What data confirms the trade?
- What invalidates the trade?

Why it matters:

The first-order trade is usually crowded.

The second-order trade is where the edge may live.

For example, a geopolitical event may first move oil, but the better trade may be inflation breakevens, airline equities, gold volatility, shipping rates, or regional FX.

The headline is not the map.

16. The Central Bank Reaction Function Prompt

Markets do not trade central banks based only on what they say.

Markets trade what they think central banks will be forced to do.

Prompt:

Analyze the central bank reaction function behind this market setup.

Central bank:
[Insert Fed / ECB / BOJ / BOE / PBOC etc.]

Current setup:
[Insert macro context]

Evaluate:
- Inflation trend
- Growth trend
- Labor market trend
- Financial conditions
- Currency pressure
- Political constraints
- Market pricing
- What the central bank says
- What the central bank is likely to do
- What would force a policy surprise
- Which asset class is most mispriced against this reaction function

Why it matters:

A trader must understand the gap between policy communication and policy constraint.

Central banks talk in paragraphs.

Markets reprice in basis points.

The spread between those two is where trades live.

17. The Scenario Matrix Prompt

Single-outcome thinking is fragile.

Scenario thinking is robust.

Prompt:

Build a scenario matrix for this market situation.

Situation:
[Insert situation]

Create 4 scenarios:
1. Bullish base case
2. Bearish base case
3. Shock scenario
4. Consensus is wrong scenario

For each scenario, provide:
- Probability estimate
- Trigger
- Market reaction
- Best asset expression
- Hedge
- Invalidation signal
- Time horizon

Then explain which scenario is underpriced by the market.

Why it matters:

The goal is not to know the future.

The goal is to understand what the market is paying for, what it is ignoring, and where the payoff is asymmetric.

Trading is not prophecy. It is structured exposure to uncertainty.

Human beings dislike uncertainty, so naturally they invented markets, a machine that monetizes uncertainty and then emotionally damages everyone involved. Efficient.

18. The Correlation Breakdown Prompt

Correlation shifts are early warning signals.

Prompt:

Analyze whether a correlation breakdown is occurring.

Assets:
[Insert assets, e.g. stocks vs bonds, gold vs real yields, USD vs equities, oil vs inflation breakevens]

Check:
- Historical relationship
- Current divergence
- Possible reasons for breakdown
- Whether this is temporary noise or regime change
- Which asset is leading
- Which asset is lagging
- Trade opportunities from convergence or divergence
- Risk if the relationship does not mean-revert

Why it matters:

Many major trades begin when old relationships stop working.

Gold can decouple from real yields. Stocks and bonds can fall together. The dollar can rise with risk assets. Oil can stop responding to geopolitical news.

When correlation breaks, something deeper is changing.

Your job is to notice before everyone writes a LinkedIn essay explaining it after the fact.

19. The Hidden Risk Prompt

The biggest risk is rarely the one you are watching.

Prompt:

Identify hidden risks in this trade or portfolio.

Trade / portfolio:
[Insert details]

Look for:
- Crowding risk
- Liquidity risk
- Gap risk
- Volatility shock
- Correlation shock
- Policy surprise
- FX translation risk
- Margin risk
- Broker/exchange risk
- Weekend risk
- Event risk
- Psychological risk

Rank risks by:
1. Probability
2. Damage potential
3. Detectability
4. Hedgability

Then give me a risk reduction plan.

Why it matters:

Risk management is not just stop-loss placement.

It is understanding how you can be wrong in ways that your current system does not detect.

The market does not need to beat you where you are strong.

It only needs to find the door you forgot to lock.

20. The Final Trade Approval Prompt

Before entering, force the trade through one final gate.

Prompt:

Act as my risk manager. Decide whether this trade should be approved, delayed, reduced, or rejected.

Trade:
[Insert full setup]

Evaluate:
- Thesis clarity
- Regime alignment
- Cross-asset confirmation
- Entry quality
- Risk/reward
- Position size
- Liquidity
- Catalyst timing
- Invalidation logic
- Emotional bias
- Alternative expressions
- Hidden risks

Final decision:
1. Approve
2. Approve with reduced size
3. Wait for better entry
4. Reject

Give the reason in plain language.

Why it matters:

This is the prompt that saves you from yourself.

Not always. Humans are impressively committed to self-sabotage. But it helps.

A final approval prompt creates friction between impulse and execution. That friction is often the difference between a professional process and another little donation to the market gods.

How to Use These Prompts as a Real Trading Workflow

Do not use all 20 prompts every time. That would be absurd, even by modern productivity standards.

Use them as a layered system.

For daily market prep:

Regime Identification
Market Is Actually Trading What
Cross-Asset Confirmation
Catalyst Calendar

For a new trade idea:

Trade Setup Decomposition
Opposite Side
Positioning Trap
Trade Expression
Execution Filter
Final Trade Approval

For options or volatility trades:

Volatility Regime
Catalyst Calendar
Trade Expression
Hidden Risk

For small account trading:

Small Account Survival
Execution Filter
Hidden Risk
Final Trade Approval

For improving performance:

Drawdown Diagnosis
Post-Trade Review
Correlation Breakdown
Regime Identification

The key is not prompt quantity.

The key is sequence.

Bad traders ask AI for answers.

Better traders ask AI for analysis.

Professional traders use AI to enforce process.

The Real Point

AI will not turn a bad trader into a good trader by magic.

It will not save you from poor risk management, bad data, emotional entries, oversized positions, or the timeless human instinct to buy the top because a candle looked “strong.”

What AI can do is give you structure.

It can force you to define your thesis.

It can challenge your assumptions.

It can separate narrative from transmission.

It can convert market noise into a decision map.

It can help you build a repeatable trading operating system.

That is the real edge.

Not “AI predicts the market.”

That phrase should be placed in a museum exhibit titled: Things People Say Right Before Losing Money.

The actual edge is this:

Better questions → better structure → better decisions → better survival.

Trading is not about knowing everything.

It is about knowing what matters now, what could invalidate it, how to express it, and how much you can afford to lose if you are wrong.

That is why prompts matter.

They are not magic words.

They are cognitive infrastructure.

And in modern markets, cognitive infrastructure is becoming as important as data infrastructure.

Because the trader who can ask better questions will usually beat the trader who only consumes more information.

The market is not short of data.

The market is short of disciplined interpretation.

That is where the next edge begins.

Ztrader Note

This essay is part of my broader Ztrader research system, where I build frameworks for macro trading, market structure, volatility, AI-assisted research, and decision infrastructure.

The goal is simple:

See the Structure.

More research, frameworks, and trading intelligence are available at:

ztrader.ai