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 > 50User 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 : src3. 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.normalOptimization 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.