Active Trading

Day Trading: 10 AI prompts for finance workflows

Use these Day Trading prompts to move from a rough finance task to a clearer, copy-ready AI workflow.

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Copy-ready Day Trading finance prompts

Universal Day Trading Gameplan Builder

Universal template Medium

Creates a complete day-trading plan tailored to your market, schedule, and risk profile, with rules you can actually follow.

ID 91

Act as a professional day trading coach. I trade crypto market in United States with $10,000 and can trade 4 hours. My experience level is beginner/intermediate. My goal is skill-building/income/consistency. Build my day trading gameplan: market selection, session focus, setup criteria, entry/exit rules, risk limits (per trade/day/week), position sizing method, do-not-trade conditions, pre-market routine, journaling template, and a 30-day progression plan. Ask clarifying questions if needed.

Pre-Market Routine & Watchlist Constructor

Beginner

Turns “random scanning” into a repeatable pre-market process that produces a focused watchlist and key levels.

ID 92

Act as my pre-market routine designer. I trade crypto market during 4 hours. Create a step-by-step pre-market workflow that outputs: (1) market bias for the day, (2) top 5–15 watchlist candidates, (3) key levels to mark, (4) catalysts/volatility notes, (5) my “A+ setups only” filter, and (6) a checklist that takes 15/30/45 minutes. Use placeholders for my tools scanner/chart platform/news source.

Risk Rules Blueprint (Hard Stops, Daily Max Loss, Recovery Rules)

Beginner

Builds a strict risk framework that prevents “one bad day” from becoming an account-ending event.

ID 93

Act as a risk manager for a day trader. Using my account size 4 hours and my typical stop size Y (or average volatility), create a risk blueprint with: risk per trade, max trades per day, max daily loss, max weekly loss, rules for reducing size after drawdowns, and rules for stopping trading after a mistake spiral. Include simple math examples and a one-page “Risk Constitution” I can print.

Position Sizing Calculator From Stop Distance

Pro

Converts a trade idea into correct size using stop distance, volatility, and fees, so risk stays constant.

ID 94

Act as a trading math assistant. I risk R per trade (as % or $). For each trade, I will provide: entry price, stop price, instrument type, contract/lot specs (if needed), and estimated fees/slippage. Build a position sizing method that outputs the correct size, expected loss at stop, break-even move needed after fees, and a “size too big” warning rule. Provide a fill-in template I can reuse.

Setup Definition Factory (From Vague Idea to Rule-Based Setup)

Beginner

Helps you turn “I trade breakouts/pullbacks” into precise, testable rules with clear invalidation.

ID 95

Act as a systematic trading coach. I want to day trade this concept: describe loosely. Convert it into a rule-based setup with: market conditions required, exact entry trigger, invalidation/stop placement logic, profit-taking rules, time stop, no-trade filters, and 3 example scenarios (good trade, no-trade, trap). End with a checklist that determines “setup valid: yes/no.”

Trade Execution & Order-Type Playbook

Pro

Prevents sloppy fills by matching order types to volatility and defining how to handle slippage and fast moves.

ID 96

Act as an execution specialist. I trade crypto market on platform. Create an execution playbook that tells me when to use market vs limit vs stop-limit orders, how to enter in high volatility, how to avoid chasing, how to handle partial fills, and what to do if price moves against me immediately. Include rules for spread, liquidity, and “no trade” conditions due to poor execution quality.

Trade Journal That Actually Improves Skill (Not Just Notes)

Medium

Builds a journaling system that turns trades into data, patterns, and specific improvements.

ID 97

Act as a performance analyst for a day trader. Design my trading journal template with fields for: setup type, market condition, entry quality, stop logic, exit logic, emotions, mistakes, execution quality, and rule adherence. Also define weekly review questions, KPI metrics (win rate, R-multiple expectancy, average MAE/MFE, rule adherence score), and a method to pick ONE improvement focus per week.

Post-Trade Review & “Mistake Tax” Analyzer

Medium

Separates edge from errors and quantifies how much mistakes cost you, so you stop repeating them.

ID 98

Act as my trading review partner. I will paste a list of trades (time, entry, stop, exit, result, notes). Classify each trade into: A) followed rules and good execution, B) followed rules but execution issue, C) broke rules (name the rule), D) impulsive/invalid setup. Calculate my “mistake tax” (losses from rule-breaking + missed exits + revenge trades) and give me a short corrective protocol for the top 2 mistakes.

Strategy Validation Ladder (Backtest → Replay → Small Size → Scale)

Medium

Gives a safe progression path so you don’t “scale hopes,” you scale evidence.

ID 99

Act as a trading systems mentor. I have a day trading strategy idea: describe. Build a validation ladder: Step 1: what to backtest (data, sample size, metrics). Step 2: replay/simulator practice (what to track). Step 3: live trading with micro size (rules + limits). Step 4: scaling plan (when to increase size, when to pause). Include pass/fail criteria at each step and a minimum evidence threshold before scaling.

Day Trading Psychology Protocol (Tilt Control + Focus + Recovery)

Pro

Creates an actionable routine for staying calm, avoiding revenge trading, and resetting after losses.

ID 100

Act as a trading psychology coach. My typical triggers are FOMO/anger/overconfidence/boredom/fear. Build a psychological protocol with: pre-session priming, in-session “tilt detection” signals, a forced cooldown routine, rules for stopping after X errors, and a post-session decompression routine. Include short scripts I can say to myself and a 2-minute reset I can do between trades.

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