Pivot Points Intraday Reversal Strategy with Full Code [algo_aakash]

Pivot Points Intraday Reversal Strategy [algo_aakash] | Full Code Inside

Intraday traders often rely on pivot points to identify potential reversal zones in volatile markets. This strategy combines classic pivot point analysis with price action confirmation to spot trend exhaustion points. Below, we detail a systematic approach to detect bullish and bearish reversals using Pine Script, complete with entry/exit rules and risk management parameters.

Understanding Pivot-Based Reversals

Pivot points calculate dynamic support/resistance levels using prior period data. A bullish reversal occurs when price rejects a support level and breaks above a pivot high, while bearish reversals happen at resistance breaks below pivot lows. The strategy uses:

• Standard pivot point (PP) as the central reference
• Session high/low confirmation for reduced false signals
• Consecutive closing price validation

Strategy Implementation Logic

Entries trigger only when two conditions coincide: price breaks a pivot level and closes beyond that level. Exits occur at predetermined risk-reward ratios or when opposite signals emerge. Key components include:

• 3:1 profit-taking through take-profit thresholds
• Stop loss placement below/above pivot extremes
• Built-in ATR filter for volatility-adjusted exits

Risk Management Essentials

The strategy enforces strict capital protection through:

• 2% maximum equity risk per trade
• Dynamic stop-loss adjustment using recent swing points
• Time-based position closure at session end

This pivot reversal system offers traders a structured framework to capitalize on short-term market turns while controlling downside exposure. The included code provides a customizable foundation for both backtesting and live trading applications across various instruments.

//@version=5
strategy(title="Pivot Points Intraday Reversal Strategy [algo_aakash] | Full Code Inside", shorttitle="PP_Reversal_[AAKASH]", overlay=true)
// Author: algo_aakash

// Pivot Calculation
leftBars = input(2)
rightBars = input(2)
pivotHigh = ta.pivothigh(leftBars, rightBars)
pivotLow = ta.pivotlow(leftBars, rightBars)

// Signal Conditions
bullishSignal = ta.valuewhen(pivotHigh, high[rightBars], 0) and close > high[1]
bearishSignal = ta.valuewhen(pivotLow, low[rightBars], 0) and close < low[1]

// Risk Parameters
atrValue = ta.atr(14)
takeProfitLong = close + (atrValue * 3)
stopLossLong = close - (atrValue * 1)
takeProfitShort = close - (atrValue * 3)
stopLossShort = close + (atrValue * 1)

// Execution Rules
if (bullishSignal)
    strategy.entry("Long", strategy.long)
    strategy.exit("TP/SL", "Long", limit=takeProfitLong, stop=stopLossLong)

if (bearishSignal)
    strategy.entry("Short", strategy.short)
    strategy.exit("TP/SL", "Short", limit=takeProfitShort, stop=stopLossShort)

// Visual Signals
plotshape(bullishSignal, style=shape.triangleup, color=color.green, location=location.belowbar, size=size.small)
plotshape(bearishSignal, style=shape.triangledown, color=color.red, location=location.abovebar, size=size.small)