Tools and Indicators:
Chart Time Frame: 1-minute or 5-minute chart (for quick scalping)Trend Indicator: 50-period Simple Moving Average (SMA)Pullback Indicator: 14-period Relative Strength Index (RSI)
Entry Criteria:
1. Identify the Trend:
Use the 50-period SMA to determine the trend.
Uptrend: Price is above the 50-period SMA. Downtrend: Price is below the 50-period SMA.
2. Wait for a Pullback:
In an uptrend, wait for the RSI to drop below 30 (indicating an oversold condition).In a downtrend, wait for the RSI to rise above 70 (indicating an overbought condition).
3. Confirm the Pullback:
For an uptrend, enter a long position when the RSI rises back above 30.For a downtrend, enter a short position when the RSI drops back below 70.

Exit Criteria:
1. Profit Target: Set a profit target based on a fixed number of pips or a percentage of the entry price. Typically, aim for a small, quick gain (e.g., 5-10 pips).
2. Stop Loss: Set a tight stop loss to limit potential losses. Place it just below the recent swing low (for long positions) or just above the recent swing high (for short positions).

Example:
Uptrend Scenario:
1. Price is above the 50-period SMA.
2. RSI drops below 30 (indicating a potential pullback).
3. RSI rises back above 30, confirming the pullback.
4. Enter a long position.
5. Set a profit target of 5-10 pips.
6. Place a stop loss just below the recent swing low.

Downtrend Scenario:
1. Price is below the 50-period SMA.
2. RSI rises above 70 (indicating a potential pullback).
3. RSI drops back below 70, confirming the pullback.
4. Enter a short position.
5. Set a profit target of 5-10 pips.
6. Place a stop loss just above the recent swing high.

Additional Tips:
Market Conditions: Ensure there is enough market volatility. Low volatility can make scalping difficult.
News Events: Avoid trading around major news releases, as these can cause unpredictable price movements.
Risk Management: Never risk more than 1-2% of your trading capital on a single trade.
Backtesting: Before implementing this strategy with real money, backtest it on historical data to understand its performance and make necessary adjustments.