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AI prompts for scalping strategies and execution

Build concise scalping workflows that account for spread, liquidity, latency, order handling, risk limits, and the quality of actual fills.

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10 scalping strategy and execution prompts

Universal Scalping Plan

Universal template Pro

Builds a scalping plan around market microstructure and execution constraints including spread, fees, latency, slippage, and liquidity.

ID 111
Act as a scalping and execution specialist. I trade the crypto market through platform/broker from United States. My account is 4 hours and I use tick/seconds/1m/3m charts. Ask for missing facts, then define instruments, session, setups, entries, exits, stops, position size, maximum daily loss, order types, spread and slippage limits, event filters, and a 30-day progression. First test whether expected trade size and costs make the idea viable.

Break-Even Win Rate and Cost per Trade

Medium

Calculates whether a scalping strategy retains positive expectancy after spread, commissions, fees, and slippage.

ID 112
Act as a quantitative trading analyst. I scalp instrument with an average win of 20%, average loss of Y, average spread of S, commissions and fees of C per trade, and estimated slippage of L. Calculate break-even win rate and net expectancy after costs. Show total cost per trade, the effect of doubled slippage, and the thresholds at which the strategy becomes unviable. Suggest three concrete ways to improve viability without assuming any will work.

Commission and Fee Drag Analysis

Medium

Measures how trading costs alter a high-frequency strategy's expectancy and identifies setups or time windows that no longer remain viable.

ID 113
Act as a scalping performance auditor. I will provide N trades with entry, exit, size, gross P/L, fees, duration, and notes. Calculate gross and net expectancy and separate commissions, spread, slippage, and other costs. Identify setups and time windows whose edge disappears after costs, propose measurable limits for target, liquidity, spread, and frequency, and assess whether the broker's fee model fits the strategy.

Scalping Execution Quality Guide

Pro

Turns spread, slippage, liquidity, order types, and partial fills into measurable execution rules and no-trade conditions.

ID 114
Act as a scalping execution specialist. I trade the crypto market on platform. Define when market, limit, and stop-limit orders may be appropriate; maximum spread and slippage; minimum depth or liquidity; handling of partial, missed, rejected, or delayed fills; and clear no-trade conditions. Add a process for measuring execution quality during normal and high-volatility periods.

Noise Filter for Very Short Timeframes

Beginner

Helps prevent overtrading when very short timeframes contain more microstructure noise than repeatable information.

ID 115
Act as a market-microstructure specialist. I scalp on 15-minute data. Design a daily filter using volatility regime, spread, depth, liquidity, trend persistence, quote changes, and signal stability. Define measurable criteria for continuing, moving to a 3- or 5-minute timeframe, or stopping. Explain how to calibrate thresholds from my own data rather than inventing universal values.

DOM, Level II, and Tape-Reading Practice

Pro

Creates a structured practice routine for interpreting order flow without relying on isolated visual signals or assuming displayed liquidity is firm.

ID 116
Act as an order-flow mentor. I want to use 4 hours to scalp instrument. Design a 20-minute daily practice routine: what to observe near key levels, how to study absorption and exhaustion, how to recognize possible deceptive or fleeting liquidity, and what to ignore. Add five scenarios and an entry, stop, and exit template that requires confirmation from price and executed trades.

Turn a Scalping Idea into a Testable Setup

Medium

Converts a scalping concept into precise, repeatable rules with strict invalidation, execution, and no-trade criteria.

ID 117
Act as a systematic scalping mentor. Convert breakout / pullback / mean reversion / liquidity sweep / range scalp into a setup with market regime, exact trigger, stop, target, time stop, execution limits, no-trade filters, and invalidation. Include a one-page checklist, three scenarios - valid trade, no trade, and trap - and common execution errors with preventive controls.

From Scalping Backtest to Live Execution

Pro

Adds realistic execution assumptions to a scalping backtest and defines staged validation before meaningful capital is used.

ID 118
Act as a trading-system reviewer. I have a scalping backtest on 15-minute data using data type: OHLCV/tick. Explain how to model bid-ask spread, commissions, slippage, partial fills, latency, queue effects, and missed entries. Then define a ladder through historical replay, simulation, and minimum-size live testing, with justified sample requirements, reconciliation, and pass, fail, and pause criteria.

Scalping Performance by Session and Time of Day

Medium

Identifies when liquidity and execution support a scalping strategy and when costs or unstable behavior remove its edge.

ID 119
Act as a scalping session analyst. I trade the crypto market in timezone. Design a method to measure performance by time window, liquidity, spread, volatility regime, event calendar, and execution quality. Identify candidate windows and periods to avoid, require uncertainty estimates and sufficient samples, and limit trading to the two strongest windows only if my own data supports that rule.

Scalping Discipline and Stop Protocol

Pro

Defines psychological and operational limits intended to interrupt revenge trading, overtrading, loss of control, and fatigue.

ID 120
Act as a trading-psychology educator. My triggers are FOMO/revenge/boredom/overconfidence/fear. Create brief preparation, maximum trades and consecutive losses, mandatory cooldowns, observable loss-of-control signals, and a hard session-stop routine. Make every rule measurable, include a post-session review, and explain when persistent distress requires stopping and seeking qualified professional support.

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How to use AI prompts for scalping workflows

Scalping is dominated by execution quality, so prompts must account for microstructure rather than describe chart signals alone. Venue, spread, depth, fees, latency, and fill assumptions can determine whether a theoretical edge exists.

  • Name the instrument, venue, session, order-book conditions, data frequency, fee tier, and realistic latency.
  • Define exact entry, cancellation, exit, stop, time-in-trade, position limit, and shutdown rules without discretionary gaps.
  • Measure fill rate, adverse selection, slippage, queue position, and net expectancy in simulation before considering live use.