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pine-script-strategy松树脚本策略

Agent Skill

pine-script-strategy 用于辅助测试设计、自动化测试和回归验证,适合在 OpenClaw 中需要补充测试、分析失败日志或验证功能改动时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,427

周安装

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下载量

1,098
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:pine-script-strategy(松树脚本策略)
来源仓库:https://github.com/shailendartigga16-collab/pine-script-strategy
安装命令:
openclaw skills install pine-script-strategy
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install pine-script-strategy

简介

Pine Script策略开发助手支持编写、测试与回测交易算法。

  • 适合量化交易者构建TradingView自动化交易系统。
  • 提供信号生成、仓位管理与绩效统计模块示例代码。pine-script-strategy 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 实盘使用前必须完成历史数据回测与参数敏感性分析。
  • 部分券商接口限制可能导致信号延迟需考虑滑点因素。

SKILL.md

name
pine-script-strategy
description
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".

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

适合场景

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

94.26%
按下载量换算1,035

安全审计

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通过

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通过

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通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

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