Prompts / Finance, Accounting & Investing

ChatGPT prompts for crypto trading

This prompt creates a disciplined research and trade-planning brief from data you provide. Use it to test a trading idea, not as personalized financial advice or a substitute for your own risk controls.

PromptOpen ChatGPTOpen Claude
Help me analyze a crypto trading idea as a research and risk-planning exercise, not personalized financial advice. Use only the market data and account limits I provide. Do not claim access to live prices, news, on-chain data, liquidity, funding rates, or exchange rules unless I paste them. Do not tell me that a trade will profit.

Asset and trading pair: [ASSET AND PAIR]
Market data and timeframes: [MARKET DATA]
My thesis and catalyst assumptions: [TRADE THESIS]
Account size, maximum loss, and leverage limits: [RISK LIMITS]
Trade venue, horizon, and constraints: [EXECUTION CONTEXT]

Produce a trade research brief with these sections:
1. Data status: distinguish facts I supplied from assumptions and missing live inputs.
2. Market structure: describe the trend, key support/resistance or invalidation zones, volume/liquidity observations, and timeframe alignment based only on supplied data.
3. Bull, base, and bear scenarios. Give the condition that would support each scenario rather than a probability presented as fact.
4. A conditional trade plan for a long and, if appropriate, a short: entry trigger, invalidation, target zones, position-sizing formula, and estimated reward-to-risk. Show the arithmetic, including fees, slippage, and funding assumptions where applicable.
5. Execution risks: spread, liquidity, liquidation, leverage, custody, stablecoin, exchange, and event risk relevant to my context.
6. A short checklist of data I must verify immediately before placing any order.

If I use leverage, explain the difference between a stop level and liquidation risk and calculate nothing beyond the values I supplied. State clearly when the plan should be skipped because the invalidation is too wide, data is missing, reward-to-risk is poor, or the position would exceed my loss limit.

Before answering, verify the sizing math twice and flag every conclusion that depends on an unverified assumption. Ask up to 3 clarifying questions only if a required input is missing. Suggest a licensed financial professional for individualized investment advice.

Fill in

PlaceholderWhat to enterExample
[ASSET AND PAIR]State the cryptoasset, trading pair, and whether you are considering spot, perpetuals, or another product.ETH/USDT perpetual, considering a long.
[MARKET DATA]Paste dated price levels, chart observations, volume, funding, or on-chain data you want analyzed.Data captured Sept. 24, 2026: price 3,420; daily support 3,280; resistance 3,560; 4-hour higher lows; funding 0.012% per 8 hours.
[TRADE THESIS]Describe the specific setup, catalyst, and reason you think it may work.Possible continuation if price closes above 3,500 on four-hour volume; thesis fails below 3,280.
[RISK LIMITS]State account value, maximum dollar or percentage loss, and maximum leverage.Account $12,000; maximum loss $120 per trade; no more than 2x leverage.
[EXECUTION CONTEXT]Name the venue, intended holding period, jurisdictional constraints, fees, and whether shorting is allowed.Kraken Pro; 2-5 day horizon; use limit orders; assume 0.35% total fees and slippage; US resident.

How to use

  1. Paste a dated snapshot of the data you are relying on, because a model may not have current market information.
  2. Set your maximum loss in dollars before asking for entry or sizing calculations.
  3. Check the arithmetic against your exchange’s contract specifications, fees, margin rules, and current order book.
  4. Follow up with: "Recalculate the long plan if my entry trigger is 3,510, stop is 3,330, and I will risk no more than $90 including fees."

Variations

Trade journal review

Use this after a closed trade to find process errors without hindsight storytelling.

Variation
Review this completed crypto trade: [TRADE RECORD]. My written plan was [ORIGINAL PLAN], and the market context I recorded was [MARKET CONTEXT]. Produce a journal review with setup quality, execution quality, risk-rule compliance, outcome versus process, and one specific rule to retain or change. Separate facts from hindsight. Calculate realized return, planned risk, and reward-to-risk only from supplied numbers. Before answering, flag missing fees, funding, partial fills, or timestamps that would distort the review.

Portfolio exposure

Use this before adding a new crypto position to an existing portfolio.

Variation
Assess the risk overlap of my proposed [NEW POSITION] against my current holdings: [CURRENT PORTFOLIO]. Use [ACCOUNT LIMITS] and [MARKET ASSUMPTIONS] to create an exposure table by asset, direction, leverage, collateral, and correlated risk. Identify concentration, stablecoin, exchange, and liquidation risks without assuming correlations are fixed. Do not recommend buying or selling. Before answering, check that gross exposure, net exposure, and maximum stated loss are calculated separately and flag any missing position size or entry price.

Event-risk plan

Use this when a token trade is exposed to a known unlock, protocol vote, or macro event.

Variation
Create a conditional event-risk plan for [ASSET] ahead of [EVENT AND DATE] using [CURRENT POSITION], [MARKET DATA], and [RISK LIMIT]. List what is known, what remains uncertain, plausible liquidity and volatility effects, and actions I could predefine for favorable, adverse, and no-resolution outcomes. Do not predict the event result or use unsourced rumors. Before answering, flag dates and claims that need verification, and calculate any proposed reduction or stop only from my supplied position details.

Tips

  • Use a timestamp and source beside every price, funding rate, and catalyst because crypto conditions can change within minutes.
  • Define invalidation before entry; a target is not a risk plan if you cannot name what proves the thesis wrong.
  • Size from the distance between entry and invalidation, including realistic fees and slippage, rather than from how confident the setup feels.
  • Keep exchange balances and collateral separate in your records; cross-margin positions can create losses beyond one trade’s chart setup.

FAQ

Can ChatGPT predict the next crypto price move?

No. It can help structure scenarios and calculations, but price predictions are uncertain and may rely on stale data.

Can AI calculate my position size?

It can calculate from values you provide, but you must verify contract specifications, fees, and margin rules on your venue.

Does this replace financial advice?

No. Crypto trading carries substantial loss risk; seek a licensed professional for advice tailored to your situation.

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