Active Trading

Scalping: 10 AI prompts for finance workflows

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

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Copy-ready Scalping finance prompts

Universal Scalping Gameplan Builder

Universal template Pro

Builds a complete scalping plan tailored to your market, platform, and execution constraints (spread, fees, slippage).

ID 111

Act as a professional scalping coach and execution specialist. I scalp crypto market on platform/broker in United States. My account size is 4 hours. My typical chart timeframe is tick/seconds/1m/3m. Build a complete scalping gameplan: instrument selection criteria, session/time-of-day rules, setup definitions, entry/exit rules, stop logic, position sizing, max daily loss rules, execution rules (order types, slippage/spread constraints), news/event filters, and a 30-day progression plan. Ask clarifying questions if needed.

Break-Even Win Rate & Cost-of-Trade Calculator

Pro

Quantifies whether your scalping math is even viable after spreads, commissions, and slippage.

ID 112

Act as a trading math analyst. I scalp instrument with average win of 20%, average loss of Y, average spread of S, commissions/fees of C per trade, and estimated slippage of L. Compute my break-even win rate and break-even expectancy. Show me: the minimum win rate needed at my current R:R, the “cost drag” per trade, how results change if slippage doubles, the exact thresholds where scalping becomes mathematically unprofitable. Finish with 3 ways to improve viability (bigger targets, better fills, fewer trades, etc.).

Commissions & Fee Drag Diagnostic (Why I’m Green Before Fees, Red After)

Medium

Diagnoses fee/commission bleeding, and redesigns the approach to survive high trade frequency.

ID 113

Act as a scalping performance auditor. I will paste my last N trades (entry, exit, size, P/L, fees/commissions, time held, notes). Calculate my gross expectancy vs net expectancy (after all costs). Identify which setups/time windows are being destroyed by fees. Recommend changes: minimum target size, minimum liquidity/spread conditions, trade frequency limits, and whether my broker fee model is compatible with scalping. Output a “New Rules” list I can follow.

Execution Quality Playbook (Spread, Slippage, Liquidity, Order Types)

Pro

Converts execution chaos into rules: when to use market/limit/stop-limit, and when to avoid trading entirely.

ID 114

Act as an execution specialist for scalpers. I trade crypto market on platform. Build an execution playbook: When to use market vs limit vs stop-limit orders How to avoid chasing during fast moves Rules for maximum spread, minimum liquidity/volume, and “no-trade” conditions How to handle partial fills and missed fills A slippage-control routine for high-volatility moments Make it practical and rule-based.

Micro-Timeframe Noise Filter (When 1-Minute Is Too Loud)

Beginner

Helps scalpers avoid signal decay and overtrading by defining acceptable conditions for tiny timeframes.

ID 115

Act as a market microstructure coach. I scalp on 15-minute data. Build a noise filter that decides whether scalping conditions are valid today. Include: volatility regime detection, spread/liquidity quality checks, trend vs chop classification, and a rule that says “switch to 3m/5m or stop trading” when microstructure is too random. Provide a simple checklist with pass/fail criteria.

DOM / Level II / Tape Reading Training Protocol

Pro

Builds a structured practice plan for order flow skills without staring at the DOM all day.

ID 116

Act as an order-flow mentor. I want to use 4 hours to scalp instrument. Create a training protocol: what to watch near key levels, how to identify absorption vs exhaustion, how to recognize spoof-like noise, and how to time entries/exits. Include: A 20-minute daily drill A “what to ignore” list 5 example patterns with descriptions A rule-based entry/stop/exit template using order flow confirmation.

Scalping Setup Factory (From Idea to Checklist + Invalidations)

Medium

Turns vague scalping ideas into precise, repeatable setups with strict invalidation rules.

ID 117

Act as a systematic scalping coach. My scalping idea is: breakout / pullback / mean reversion / liquidity sweep / range scalp. Convert it into a rule-based setup: required market conditions, exact trigger, stop placement logic, profit-taking rules, time stop, no-trade filters, and invalidation criteria. Provide: a one-page checklist, 3 example scenarios (A+ trade, no-trade, trap), common execution mistakes and how to prevent them.

Backtest-to-Live Reality Bridge (Model Spread & Slippage Properly)

Pro

Prevents “paper profits” by forcing realistic execution assumptions into testing and forward validation.

ID 118

Act as a trading systems reviewer. I have backtest results for a scalping strategy on 15-minute data using data type: OHLCV/tick. Design a realism upgrade plan: how to model bid-ask spread, commissions, slippage, partial fills, latency, and missed entries. Then build a validation ladder: replay/sim, micro-size live test, scaling rules. Define pass/fail criteria and minimum sample sizes before I trust the edge.

Session & Timing Edge Finder (When Scalping Works Best)

Medium

Builds a time-of-day and session framework so you trade when liquidity is best and spreads are friendliest.

ID 119

Act as a session strategist for scalping. I trade crypto market in timezone. Create a session plan that identifies the best windows to scalp (high liquidity, clean moves) and the worst windows (thin liquidity, whipsaw). Include: a routine to measure my personal performance by hour, rules for avoiding news spikes, and a “two best windows only” constraint to reduce overtrading.

Scalper’s Discipline Protocol (Revenge, Overtrading, Tilt, Fatigue)

Pro

A strict psychological and operational safety system for high-frequency decision-making.

ID 120

Act as a trading psychologist specialized in scalpers. My triggers are FOMO/revenge/boredom/overconfidence/fear. Create a discipline protocol with: Pre-session priming (2–5 minutes) In-session guardrails (max trades, max consecutive losses, cooldown rules) A “tilt detection” checklist A hard stop routine (walk-away protocol) Post-session review prompts focused on execution quality and rule adherence. Make it short, actionable, and enforceable.

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