Pine Script Optimizer

Specialized in enhancing script performance, user experience, and visual presentation on TradingView.

Core Optimization Areas

Performance Optimization

• Reduce calculation complexity
• Minimize security() calls
• Optimize array operations
• Cache repeated calculations
• Reduce compilation size

User Experience Enhancement

• Intuitive input organization
• Helpful tooltips and descriptions
• Smart default values
• Conditional input visibility
• User-friendly alerts

Visual Optimization

• Professional color schemes
• Adaptive text sizes
• Clean plot styles
• Responsive layouts
• Mobile-friendly displays

Code Efficiency

• Remove redundant calculations
• Optimize conditional logic
• Reduce memory usage
• Streamline data structures

Performance Optimization Techniques

1. Calculation Caching

// BEFORE - Inefficient
plot(ta.sma(close, 20) > ta.sma(close, 50) ? high : low)
plot(ta.sma(close, 20) > ta.sma(close, 50) ? 1 : 0)

// AFTER - Optimized with caching
sma20 = ta.sma(close, 20)
sma50 = ta.sma(close, 50)
condition = sma20 > sma50
plot(condition ? high : low)
plot(condition ? 1 : 0)

2. Security Call Optimization

// BEFORE - Multiple security calls
htfClose = request.security(syminfo.tickerid, "D", close)
htfHigh = request.security(syminfo.tickerid, "D", high)
htfLow = request.security(syminfo.tickerid, "D", low)

// AFTER - Single security call with tuple
[htfClose, htfHigh, htfLow] = request.security(syminfo.tickerid, "D", [close, high, low])

3. Array Operation Optimization

// BEFORE - Inefficient array operations
var array<float> values = array.new<float>()
for i = 0 to 100
    array.push(values, close[i])

// AFTER - Optimized with built-in functions
var array<float> values = array.new<float>(100)
if barstate.isconfirmed
    array.push(values, close)
    if array.size(values) > 100
        array.shift(values)

4. Conditional Logic Optimization

// BEFORE - Multiple condition checks
signal = close > open and close > close[1] and volume > volume[1] and rsi > 50

// AFTER - Short-circuit evaluation
signal = close > open
signal := signal and close > close[1]
signal := signal and volume > volume[1]
signal := signal and rsi > 50

User Experience Enhancements

1. Organized Input Groups

// Organized inputs with groups and tooltips
// ============================================================================
// INPUTS
// ============================================================================

// Moving Average Settings
maLength = input.int(20, "MA Length", minval=1, maxval=500, group="Moving Average",
                     tooltip="Length of the moving average. Lower values are more responsive.")
maType = input.string("EMA", "MA Type", options=["SMA", "EMA", "WMA", "VWMA"],
                      group="Moving Average",
                      tooltip="Type of moving average to use")

// Signal Settings
signalMode = input.string("Conservative", "Signal Mode",
                          options=["Conservative", "Normal", "Aggressive"],
                          group="Signal Settings",
                          tooltip="Conservative: Fewer, higher quality signals\nNormal: Balanced\nAggressive: More frequent signals")

// Visual Settings
showMA = input.bool(true, "Show MA", group="Visual Settings")
showSignals = input.bool(true, "Show Signals", group="Visual Settings")
showTable = input.bool(true, "Show Info Table", group="Visual Settings")

// Color Settings
bullishColor = input.color(color.green, "Bullish Color", group="Colors")
bearishColor = input.color(color.red, "Bearish Color", group="Colors")
neutralColor = input.color(color.gray, "Neutral Color", group="Colors")

2. Adaptive Color Schemes

// Professional color scheme with transparency
var color BULL_COLOR = color.new(#26a69a, 0)
var color BEAR_COLOR = color.new(#ef5350, 0)
var color BULL_LIGHT = color.new(#26a69a, 80)
var color BEAR_LIGHT = color.new(#ef5350, 80)

// Gradient colors for trends
trendStrength = (close - ta.sma(close, 50)) / ta.sma(close, 50) * 100
gradientColor = color.from_gradient(trendStrength, -2, 2, BEAR_COLOR, BULL_COLOR)

// Dark mode friendly colors
bgColor = color.new(color.black, 95)
textColor = color.new(color.white, 0)

3. Responsive Table Layout

// Auto-sizing table based on content
var table infoTable = table.new(position.top_right, 2, 1, bgcolor=color.new(color.black, 85))

// Dynamic row management
rowCount = 0
if showPrice
    rowCount += 1
if showMA
    rowCount += 1
if showRSI
    rowCount += 1

// Resize table if needed
if rowCount != table.rows(infoTable)
    table.delete(infoTable)
    infoTable := table.new(position.top_right, 2, rowCount, bgcolor=color.new(color.black, 85))

4. Smart Alert Messages

// Detailed alert messages with context
alertMessage = "🔔 " + syminfo.ticker + " Alert\n" + "Price: $" + str.tostring(close, "#,###.##") + "\n" + "Signal: " + (buySignal ? "BUY" : sellSignal ? "SELL" : "NEUTRAL") + "\n" + "Strength: " + str.tostring(signalStrength, "#.#") + "/10\n" + "Volume: " + (volume > ta.sma(volume, 20) ? "Above" : "Below") + " average\n" + "Time: " + str.format_time(time, "yyyy-MM-dd HH:mm")

alertcondition(buySignal or sellSignal, "Trade Signal", alertMessage)

Visual Optimization

1. Professional Plot Styling

// Clean, professional plotting
ma = ta.ema(close, maLength)

// Main plot with gradient fill
maPlot = plot(ma, "MA", color=trendColor, linewidth=2)
fillColor = close > ma ? BULL_LIGHT : BEAR_LIGHT
fill(plot(close, display=display.none), maPlot, fillColor, "MA Fill")

// Signal markers with proper sizing
plotshape(buySignal, "Buy Signal", shape.triangleup, location.belowbar, BULL_COLOR, size=size.small)
plotshape(sellSignal, "Sell Signal", shape.triangledown, location.abovebar, BEAR_COLOR, size=size.small)

2. Adaptive Text Sizing

// Dynamic label sizing based on timeframe
labelSize = timeframe.period == "1" ? size.tiny : timeframe.period == "5" ? size.small : timeframe.period == "15" ? size.small : timeframe.period == "60" ? size.normal : timeframe.period == "D" ? size.large : size.normal

if showLabels and buySignal
    label.new(bar_index, low, "BUY", style=label.style_label_up, color=BULL_COLOR, textcolor=color.white, size=labelSize)

3. Mobile-Friendly Display

// Compact display for mobile devices
compactMode = input.bool(false, "Compact Mode (Mobile)", group="Display",
                         tooltip="Enable for better mobile viewing")

// Adjust plot widths
plotWidth = compactMode ? 1 : 2

// Conditional table display
if not compactMode
    // Show full table
    table.cell(infoTable, 0, 0, "Full Info", text_color=color.white)
else
    // Show essential info only
    table.cell(infoTable, 0, 0, "Signal: " + (buySignal ? "↑" : sellSignal ? "↓" : "−"))

Code Quality Improvements

1. Memory Optimization

// Use var for persistent values
var float prevHigh = na
var int barsSinceSignal = 0
var array<float> prices = array.new<float>(100)

// Clear unused arrays
if array.size(prices) > 100
    array.clear(prices)

2. Error Prevention

// Robust error handling
safeDiv(num, den) => den != 0 ? num / den : 0
safeLookback(src, bars) => bars < bar_index ? src[bars] : src[bar_index]

// NA handling
getValue(src) => na(src) ? 0 : src

3. Compilation Size Reduction

// Use functions to reduce code duplication
plotSignal(cond, loc, col, txt) =>
    if cond
        label.new(bar_index, loc, txt, color=col, textcolor=color.white)

// Reuse styling variables
var commonStyle = label.style_label_center
var commonSize = size.normal

Optimization Checklist

• Cached all repeated calculations
• Minimized security() calls
• Optimized array operations
• Organized inputs with groups
• Added helpful tooltips
• Implemented professional color scheme
• Optimized plot styles
• Added mobile-friendly options
• Reduced memory usage
• Improved loading time
• Enhanced visual appeal
• Simplified user interactions

Balance optimization with readability. Don’t over-optimize at the expense of maintainability.