How do I install the Pine Script skill?

Run npx skillmds@latest add charliedream1/pine-script in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Pine Script skill do?

Export backtest strategies to indicator/strategy code for major trading platforms — TradingView, 通达信, 同花顺, 东方财富, MT5. It is listed under Coding & Dev Tools on SkillMD.

Is Pine Script safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Pine Script?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Pine Script free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Pine Script?

charliedream1 (@charliedream1) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Pine Script by charliedream1 — Agent Skill

Name: Pine Script
Author: charliedream1

Overview

This skill exports a Vibe-Trading strategy to all major trading platforms in one go. Output file: artifacts/strategy.pine (inside the run directory).

Supported platforms (always generate ALL):

Group	Platforms	Language
International Charts	TradingView	Pine Script v6
China Equities	通达信 / 同花顺 / 东方财富	TDX Formula
Forex / CFD	MetaTrader 5	MQL5

Workflow: Export from Backtest

load_skill("pine-script") — read this guide
read_file("config.json") — understand instruments, dates, parameters
read_file("code/signal_engine.py") — understand the Python strategy logic
Translate the strategy to ALL platforms using the references below
write_file("artifacts/strategy.pine") — save the combined output
Return the code in a code block with usage instructions per platform

Workflow: Generate from Description

load_skill("pine-script") — read this guide
Write indicator/strategy code for ALL platforms based on the user's description
write_file("artifacts/strategy.pine") — save the combined output
Return the code with usage instructions

Output Format

The output file uses this structure (all platforms in one file):

================================================================================
  TRADINGVIEW — Pine Script v6
  Paste into: Pine Editor → New blank indicator → Add to Chart
================================================================================

[Pine Script code here]

================================================================================
  通达信 / 同花顺 / 东方财富 (TDX Formula)
  Paste into: 功能 → 公式管理器 → 新建指标公式
================================================================================

[TDX formula code here]

================================================================================
  MT5 — MQL5
  Save as: .mq5 file → MetaEditor → Compile → Navigator → Attach to Chart
================================================================================

[MQL5 code here]

Platform Reference

1. TradingView — Pine Script v6

Template

// This strategy was generated by Vibe-Trading
// Paste into TradingView Pine Editor → Add to Chart
//@version=6
strategy("Strategy Name", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.1, initial_capital=1000000)

// ============================================================================
// INPUTS
// ============================================================================
// [Group inputs logically with input.int(), input.float(), input.string()]

// ============================================================================
// CALCULATIONS
// ============================================================================
// [Core indicator calculations]

// ============================================================================
// CONDITIONS
// ============================================================================
longCondition = false
shortCondition = false
exitLongCondition = false
exitShortCondition = false

// ============================================================================
// STRATEGY EXECUTION
// ============================================================================
if longCondition
    strategy.entry("Long", strategy.long)
if shortCondition
    strategy.entry("Short", strategy.short)
if exitLongCondition
    strategy.close("Long")
if exitShortCondition
    strategy.close("Short")

// ============================================================================
// PLOTS
// ============================================================================
// [Visual overlays: moving averages, bands, signals]

// ============================================================================
// ALERTS
// ============================================================================
alertcondition(longCondition, title="Long Signal", message="Long entry signal triggered")
alertcondition(shortCondition, title="Short Signal", message="Short entry signal triggered")

Python → Pine Script Mapping

Python (pandas/numpy)	Pine Script v6
`df['close'].rolling(n).mean()`	`ta.sma(close, n)`
`df['close'].ewm(span=n).mean()`	`ta.ema(close, n)`
`ta.RSI(df['close'], n)` or manual RSI	`ta.rsi(close, n)`
`ta.MACD(df['close'])`	`[macdLine, signalLine, hist] = ta.macd(close, 12, 26, 9)`
`df['close'].rolling(n).std()`	`ta.stdev(close, n)`
`df['high'].rolling(n).max()`	`ta.highest(high, n)`
`df['low'].rolling(n).min()`	`ta.lowest(low, n)`
`df['close'].pct_change()`	`(close - close[1]) / close[1]`
`df['volume'].rolling(n).mean()`	`ta.sma(volume, n)`
`df['close'] > df['close'].shift(1)`	`close > close[1]`
Bollinger Bands	`[mid, upper, lower] = ta.bb(close, length, mult)`
ATR	`ta.atr(length)`
ADX	`ta.adx(high, low, close, length)`
Stochastic	`ta.stoch(close, high, low, length, smoothK, smoothD)`
CCI	`ta.cci(close, length)`
Williams %R	`ta.wpr(length)`
MFI	`ta.mfi(close, length)`
OBV	`ta.obv`
VWAP	`ta.vwap`

Data References

Python	Pine Script v6
`df['open']`	`open`
`df['high']`	`high`
`df['low']`	`low`
`df['close']`	`close`
`df['volume']`	`volume`
`df.index` (datetime)	`time`
`df['close'].shift(n)`	`close[n]`

Signal Logic

Python Pattern	Pine Script v6
`(fast > slow) & (fast.shift(1) <= slow.shift(1))`	`ta.crossover(fast, slow)`
`(fast < slow) & (fast.shift(1) >= slow.shift(1))`	`ta.crossunder(fast, slow)`
`signal.where(condition, 0)`	`condition ? value : 0`
`np.where(cond, val_true, val_false)`	`cond ? val_true : val_false`
`signal.clip(-1, 1)`	`math.max(-1, math.min(1, signal))`
`signal.fillna(0)`	`nz(signal, 0)`
`pd.isna(value)`	`na(value)`

Position Sizing

Python Pattern	Pine Script v6
Equal weight 1/N	`strategy.percent_of_equity` with `default_qty_value = 100/N`
Full position on signal=1.0	`default_qty_type=strategy.percent_of_equity, default_qty_value=100`
Half position on signal=0.5	Use `strategy.entry(..., qty=strategy.equity * 0.5 / close)`
Stop-loss	`strategy.exit("Exit", stop=entryPrice * (1 - stopPct))`
Take-profit	`strategy.exit("Exit", limit=entryPrice * (1 + tpPct))`

Syntax Rules (Critical)

Version declaration must be first line: //@version=6
Ternary operators MUST stay on one line: text = condition ? "a" : "b"
Line continuation: continuation lines must be indented MORE than the starting line
No plot() in local scope (if/for/function) — use plot(condition ? value : na)
var: persistent state across bars; regular assignment recalculates each bar
Avoid repainting: use barstate.isconfirmed, lookahead=barmerge.lookahead_off
Limits: max 500 bars lookback, 500 plot calls, 64 entry/exit per bar, 40 request.security()

2. 通达信 / 同花顺 / 东方财富 — TDX Formula

These platforms share 95%+ identical formula syntax. Write ONE version that works on all three.

Template

{Vibe-Trading 策略导出}
{策略名称: XXX}

{——————— 参数 ———————}
N:=14;
M:=6;

{——————— 指标计算 ———————}
RSI_VAL:=RSI(CLOSE,N);
MA_FAST:=MA(CLOSE,5);
MA_SLOW:=MA(CLOSE,20);

{——————— 买卖信号 ———————}
BUY:CROSS(MA_FAST,MA_SLOW) AND RSI_VAL<40,COLORRED;
SELL:CROSS(MA_SLOW,MA_FAST) AND RSI_VAL>60,COLORGREEN;

DRAWTEXT(BUY,LOW,'B'),COLORYELLOW;
DRAWTEXT(SELL,HIGH,'S'),COLORWHITE;

Python → TDX Mapping

Python	TDX Formula
`df['close'].rolling(n).mean()`	`MA(CLOSE,N)`
`df['close'].ewm(span=n).mean()`	`EMA(CLOSE,N)`
RSI	`RSI(CLOSE,N)` (returns 0-100)
MACD	`MACD.DIF`, `MACD.DEA`, `MACD.MACD` or manual: `DIF:=EMA(CLOSE,12)-EMA(CLOSE,26); DEA:=EMA(DIF,9); MACD:=(DIF-DEA)*2;`
Bollinger Bands	`BOLL(N,M)` → `BOLL.UPPER`, `BOLL.MID`, `BOLL.LOWER` or manual
ATR	`ATR:=MA(MAX(MAX(HIGH-LOW,ABS(HIGH-REF(CLOSE,1))),ABS(LOW-REF(CLOSE,1))),N);`
`df['close'].shift(n)`	`REF(CLOSE,N)`
`df['high'].rolling(n).max()`	`HHV(HIGH,N)`
`df['low'].rolling(n).min()`	`LLV(LOW,N)`
crossover(fast, slow)	`CROSS(FAST,SLOW)`
crossunder(fast, slow)	`CROSS(SLOW,FAST)`
`df['volume']`	`VOL`
`abs(x)`	`ABS(X)`
`max(a,b)`	`MAX(A,B)`
`min(a,b)`	`MIN(A,B)`
conditional	`IF(COND,A,B)`
`df['close'].pct_change()`	`(CLOSE-REF(CLOSE,1))/REF(CLOSE,1)`
count true in N bars	`COUNT(COND,N)`
sum over N bars	`SUM(X,N)`
std over N bars	`STD(CLOSE,N)`
slope / linear regression	`SLOPE(CLOSE,N)`

Syntax Rules

Assignment: := for intermediate variables, : for output (plotted) lines
Comments: {comment} — curly braces, NOT //
No semicolons optional: each statement ends with ;
Colors: COLORRED, COLORGREEN, COLORYELLOW, COLORWHITE, COLORBLUE, COLORCYAN, COLORMAGENTA
Line styles: LINETHICK2, POINTDOT, STICK, VOLSTICK
Draw text: DRAWTEXT(COND, PRICE, 'TEXT'), COLOR;
Draw icon: DRAWICON(COND, PRICE, ICON_ID);
All function/variable names UPPERCASE
No loops / no arrays — everything is vectorized bar-by-bar
Max formula length: ~10,000 characters per formula

Platform Differences

Feature	通达信	同花顺	东方财富
MACD built-in	`MACD(12,26,9)`	`MACD(12,26,9)`	same
Stochastic	`KDJ(N,M1,M2)`	same	same
Custom color	`COLOR+RRGGBB`	`COLOR+RRGGBB`	limited
Strategy backtest	条件选股 only	条件选股 only	条件选股 only

For maximum compatibility, avoid platform-specific extensions. Stick to core functions.

3. MetaTrader 5 — MQL5

Template (Custom Indicator)

//+------------------------------------------------------------------+
//| Generated by Vibe-Trading                                         |
//+------------------------------------------------------------------+
#property copyright "Vibe-Trading"
#property indicator_chart_window       // or indicator_separate_window
#property indicator_buffers 2
#property indicator_plots   2
#property indicator_color1  clrDodgerBlue
#property indicator_color2  clrRed

input int InpPeriod = 14;  // Period

double BuyBuffer[];
double SellBuffer[];

int OnInit()
{
   SetIndexBuffer(0, BuyBuffer, INDICATOR_DATA);
   SetIndexBuffer(1, SellBuffer, INDICATOR_DATA);
   PlotIndexSetInteger(0, PLOT_ARROW, 233);  // up arrow
   PlotIndexSetInteger(1, PLOT_ARROW, 234);  // down arrow
   PlotIndexSetInteger(0, PLOT_DRAW_TYPE, DRAW_ARROW);
   PlotIndexSetInteger(1, PLOT_DRAW_TYPE, DRAW_ARROW);
   return(INIT_SUCCEEDED);
}

int OnCalculate(const int rates_total,
                const int prev_calculated,
                const datetime &time[],
                const double &open[],
                const double &high[],
                const double &low[],
                const double &close[],
                const long &tick_volume[],
                const long &volume[],
                const int &spread[])
{
   int start = MathMax(prev_calculated - 1, InpPeriod);
   for(int i = start; i < rates_total; i++)
   {
      BuyBuffer[i]  = EMPTY_VALUE;
      SellBuffer[i] = EMPTY_VALUE;

      // === YOUR LOGIC HERE ===
      // Example: if(buyCondition) BuyBuffer[i] = low[i];
      //          if(sellCondition) SellBuffer[i] = high[i];
   }
   return(rates_total);
}

Python → MQL5 Mapping

Python	MQL5
`df['close'].rolling(n).mean()`	`iMA(_Symbol, PERIOD_CURRENT, n, 0, MODE_SMA, PRICE_CLOSE)` or manual loop
EMA	`iMA(..., MODE_EMA, ...)`
RSI	`iRSI(_Symbol, PERIOD_CURRENT, n, PRICE_CLOSE)`
MACD	`iMACD(_Symbol, PERIOD_CURRENT, 12, 26, 9, PRICE_CLOSE)`
Bollinger	`iBands(_Symbol, PERIOD_CURRENT, n, 0, mult, PRICE_CLOSE)`
ATR	`iATR(_Symbol, PERIOD_CURRENT, n)`
Stochastic	`iStochastic(_Symbol, PERIOD_CURRENT, K, D, slowing, MODE_SMA, STO_LOWHIGH)`
`df['close'].shift(n)`	`close[i-n]` (in OnCalculate loop)
crossover	`buf[i] > ref[i] && buf[i-1] <= ref[i-1]`

Syntax Rules

Indicator handles: call iMA() etc. in OnInit(), use CopyBuffer() to get values
Buffer direction: MQL5 buffers are indexed 0=oldest by default; use ArraySetAsSeries() to reverse
EMPTY_VALUE: use for "no signal" on arrow plots
Indicator vs EA: generate indicator (.mq5), not Expert Advisor, to match "indicator export" purpose
Handle-based API: MQL5 uses handles — create in OnInit, read in OnCalculate

Symbol Format Mapping

When generating code, map Vibe-Trading instrument codes appropriately:

Vibe-Trading	TradingView	通达信/同花顺	MT5
`000001.SZ`	`SZSE:000001`	`000001`	N/A
`600519.SH`	`SSE:600519`	`600519`	N/A
`AAPL.US`	`NASDAQ:AAPL`	N/A	`AAPL`
`BTC-USDT`	`BINANCE:BTCUSDT`	N/A	`BTCUSD`

Note: Most indicator code is instrument-agnostic — the user applies it to whatever chart they're viewing. Include a comment noting the original instrument for reference only.

Limitations & Transparency

When a Python strategy uses features that can't be directly translated, clearly note it:

Python Feature	Platform Limitation
ML models (sklearn, etc.)	None — flag as "manual implementation required"
Custom pandas operations	TDX — limited to built-in functions
Multi-timeframe logic	TDX — no native MTF; Pine/MQL5 — supported
Dynamic position sizing	TDX — indicator only, no position control
External data (API calls)	All — indicators run offline on chart data only

Always add a comment block at the top listing any features that could not be translated.

Quality Checklist

Before outputting:

ALL 3 platform sections are included (Pine Script, TDX, MQL5)
Each platform section has proper header with usage instructions
Pine Script: //@version=6 is first line, no plot() in local scope, ternary on single lines
TDX: all uppercase functions, := for intermediate, : for output, {comments}
MQL5: proper handle-based API, EMPTY_VALUE for no-signal
Entry/exit conditions match the Python signal logic semantically across ALL platforms
Untranslatable features are clearly documented at the top of each section
Comment header notes the original Vibe-Trading run_id and instrument

Pine Script

File contents

Overview

Workflow: Export from Backtest

Workflow: Generate from Description

Output Format

Platform Reference

1. TradingView — Pine Script v6

Template

Python → Pine Script Mapping

Data References

Signal Logic

Position Sizing

Syntax Rules (Critical)

2. 通达信 / 同花顺 / 东方财富 — TDX Formula

Template

Python → TDX Mapping

Syntax Rules

Platform Differences

3. MetaTrader 5 — MQL5

Template (Custom Indicator)

Python → MQL5 Mapping

Syntax Rules

Symbol Format Mapping

Limitations & Transparency

Quality Checklist

Frequently asked questions

Pine Script

File contents

Overview

Workflow: Export from Backtest

Workflow: Generate from Description

Output Format

Platform Reference

1. TradingView — Pine Script v6

Template

Python → Pine Script Mapping

Data References

Signal Logic

Position Sizing

Syntax Rules (Critical)

2. 通达信 / 同花顺 / 东方财富 — TDX Formula

Template

Python → TDX Mapping

Syntax Rules

Platform Differences

3. MetaTrader 5 — MQL5

Template (Custom Indicator)

Python → MQL5 Mapping

Syntax Rules

Symbol Format Mapping

Limitations & Transparency

Quality Checklist

Related skills

Frequently asked questions

How do I install the Pine Script skill?

What does the Pine Script skill do?

Is Pine Script safe to use?

Which AI agents work with Pine Script?

Is Pine Script free to use?

Who published Pine Script?