pine-script-strategy

Write, fix, test, and backtest Pine Script v5 strategies and indicators for TradingView. Use when asked to create trading strategies, indicators, Pine Script code, fix compilation errors, backtest ideas, optimize strategies, write SMC/scalping/trend-following systems, or anything related to TradingView Pine Script. Triggers on phrases like "pine script", "tradingview strategy", "tradingview indicator", "backtest this", "write a strategy", "fix my pine script", "pine script error", "create indicator", "trading strategy".

Safety Notice

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Install skill "pine-script-strategy" with this command: npx skills add shailendartigga16-collab/pine-script-strategy

Pine Script Strategy Builder

Write production-ready Pine Script v5 strategies and indicators for TradingView.

Workflow

  1. Understand the request — What instrument, timeframe, style (scalping/intraday/swing)?
  2. Choose typestrategy() for backtesting + signals, indicator() for visual-only
  3. Follow architecture — Data → Signal → Score → Filter → Risk → Execute → Visual
  4. Apply non-repaint rules — MANDATORY, no exceptions
  5. Run pre-flight checklist — Before finalizing ANY script
  6. Test mentally — Walk through edge cases, verify logic on paper
  7. Deliver — Complete script + explanation + suggested backtest settings

Non-Negotiable Rules

Non-Repaint (ALWAYS)

  • Wrap signals in barstate.isconfirmed
  • strategy() must have calc_on_every_tick=false, process_orders_on_close=false
  • request.security() → use barmerge.gaps_off, barmerge.lookahead_on with [1] offset
  • NEVER use current bar data for signal generation without confirmation

Risk Management (ALWAYS)

  • Every trade MUST have a stop loss — no naked positions
  • Use ATR-based or swing-based SL
  • RR ratio ≥ 1:2 preferred
  • Max trades per day filter
  • Cool-off after loss

Quality Gates (ALWAYS)

  • ADX chop filter (ADX > 20 to trade)
  • Session filter for appropriate trading hours
  • Volume confirmation (1.2x+ average)
  • Score threshold ≥ 70 for entries

Strategy Architecture

Layer 1: Data — Collect indicators (EMA, RSI, ATR, VWAP, ADX, Volume, BB, Pivots)
Layer 2: Signal — Generate signals (trend direction, breakouts, pullbacks, sweeps)
Layer 3: Score/Filter — Score + filter (multi-factor score, chop filter, session, cool-off)
Layer 4: Risk — SL/TP calculation (ATR/swing-based, partial exits, trailing)
Layer 5: Execute — Entry/exit logic (NON-REPAINT, barstate.isconfirmed)
Layer 6: Visual — Labels, boxes, tables, alerts, backgrounds

Pre-Flight Checklist

Before delivering ANY strategy, verify:

  • Non-repaint logic (barstate.isconfirmed)?
  • Chop filter (ADX > 20)?
  • Session filter?
  • Cool-off after loss?
  • Score threshold ≥ 70?
  • Strong breakout confirmation?
  • Full EMA alignment (3+ EMAs)?
  • Volume confirmation (1.2x+)?
  • RR ≥ 1:2?
  • Max trades per day?
  • SL always set?
  • Partial exit or trailing?

Templates

Strategy Template

//@version=5
strategy("Name", overlay=true,
     initial_capital=10000,
     default_qty_type=strategy.percent_of_equity,
     default_qty_value=10,
     commission_type=strategy.commission.percent,
     commission_value=0.05,
     slippage=1,
     pyramiding=0,
     process_orders_on_close=false,
     calc_on_every_tick=false)

Indicator Template

//@version=5
indicator("Name", overlay=true, max_lines_count=500, max_labels_count=500)

Key Patterns

Non-Repaint Entry

var bool longSignal = false
if barstate.isconfirmed
    longSignal := <conditions>
else
    longSignal := false

if longSignal and strategy.position_size == 0 and barstate.isconfirmed
    strategy.entry("Long", strategy.long)

Multi-Timeframe Non-Repaint

htfClose = request.security(syminfo.tickerid, "60", close[1], barmerge.gaps_off, barmerge.lookahead_on)

ATR-Based SL/TP

atrVal = ta.atr(14)
slLong = close - atrVal * 1.5
tpLong = close + atrVal * 1.5 * rrRatio

Score System (0-100)

score = 0
if close > ema50 and close > ema200  // Trend: 0-25
    score += 25
if rsi > 60                          // Momentum: 0-20
    score += 20
if volume > ta.sma(volume, 10) * 1.2  // Volume: 0-15
    score += 15
if close > high[1] and close > open   // Breakout: 0-20
    score += 20
if ta.atr(14) > ta.atr(14)[1]        // Volatility: 0-10
    score += 10
if close > ta.vwap(hlc3)              // VWAP: 0-10
    score += 10
totalScore = math.min(score, 100)

Cool-off After Loss

var int barsSinceLoss = 999
if strategy.closedtrades > 0
    if strategy.closedtrades.profit(strategy.closedtrades - 1) < 0
        barsSinceLoss := 0
barsSinceLoss += 1
coolOffOK = barsSinceLoss > 5

Common Errors & Fixes

ErrorFix
Cannot call ta.dmi().adx[diPlus, diMinus, adxVal] = ta.dmi(len, len)
Undeclared identifierDeclare with var before use
Cannot call operator [] on boolStore in var variable first
Script could not be translatedCheck commas, parentheses, v5 syntax
Too many plot callsMax 64 plots — use tables/labels
Loop takes too longMax 500K iterations — reduce loop
Variable type mismatchUse float() or int() casting

Detailed References

Output Format

When delivering a Pine Script:

  1. Complete, copy-paste-ready code
  2. Brief explanation of what it does
  3. Suggested TradingView backtest settings (timeframe, dates, instrument)
  4. Known limitations or things to watch for
  5. Ideas for improvement

Fixing Errors

When fixing Pine Script compilation errors:

  1. Read the error message carefully
  2. Match to known error patterns above
  3. Fix the specific issue — don't rewrite the whole script
  4. Verify the fix doesn't break other logic
  5. Re-check non-repaint compliance

Optimization Notes

  • Don't overfit to historical data
  • Test across multiple timeframes
  • Verify with walk-forward (test on different date ranges)
  • Keep strategies simple — complex ≠ profitable
  • If win rate < 50% or profit factor < 1.3, strategy needs work

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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