PROTECTED SOURCE SCRIPT

CoinGpt NQ策略

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# CoinGpt NQ 策略(MACD·多因子·可金字塔)

## 概述

**CoinGpt NQ策略**是一套面向 **纳指期货 NQ(建议:`CME_MINI:NQ1!`)30 分钟** 的可运行交易策略。
核心以 **MACD 趋势动量** 为骨架,叠加 **EMA 趋势过滤**、**可选金字塔加仓**、**三种出场模式(固定 TP/SL、追踪、追踪+TP)** 与 **风控上限**,提供三套一键预设(Balanced / Trend / Scalper),满足不同市场状态与风险偏好。

> 适配:期货/连续合约;仅做多(本脚本版本)。
> 时间框架:**30m**(可在“仅在 30m 生效”开关控制)。

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## 进场逻辑

* **信号触发**:`MACD 上穿 Signal`(并要求直方图连续上升 2 根)。
* **趋势过滤**:价格位于 `EMA(p_emaLen)` 上方,且 `MACD>0 & Signal>0`(可关闭)。
* **时间框架限制**:默认仅在 30m 有效(可关闭)。

## 出场逻辑

* **固定 TP/SL**:按百分比计算限价止盈与止损。
* **追踪止盈**:默认以 **ATR 偏移** 跟踪;
* **追踪 + TP**:在拖尾的同时设置上沿 TP。
* **反向保护**:`MACD 下穿 Signal` 时市价平仓。

> 出场模式在输入项 **「出场模式」** 选择:
> `Auto(by preset) / Fixed TP/SL / Trailing / Trailing + TP`

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## 金字塔加仓(可选)

* 仅在已有多单且不利回撤达到阈值时触发;
* 最多 `p_maxAdds` 层;每层在 **上次加仓价** 基础上按 `p_addStep%` 回撤触发;
* 目的:**拉低均价、提高持仓性价比**;采用小步长、有限层数控制回撤风险。

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## 风险管理

* **当日最大亏损**:`strategy.risk.max_intraday_loss(p_maxDailyDD, %权益)`
* **单笔头寸上限**:`strategy.risk.max_position_size(p_posCapPct)`
* **订单量**(策略属性):默认 **90% 权益**。

* 实盘更建议:Balanced≈**40%**、Trend≈**35%**、Scalper≈**30%**(在“策略属性 → 订单大小”中调整)。

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## 三套预设(参数一键生效)

| 预设 | MACD(fast/slow/signal) | 趋势EMA | 金字塔 | 加仓步长 | 固定TP/SL(%) | 追踪(ATR倍数) | 单笔上限 | 当日亏损 |
| ---------------- | ---------------------- | ----- | --- | ----- | ----------------- | --------- | ---- | ---- |
| **Balanced(默认)** | 8 / 21 / 5 | 233 | 2 层 | 0.12% | TP 0.22 / SL 0.15 | 1.2× | 50% | 1.5% |
| **Trend** | 10 / 24 / 7 | 200 | 3 层 | 0.10% | TP 0.25 / SL 0.18 | 1.6× | 45% | 1.2% |
| **Scalper** | 6 / 19 / 4 | 100 | 关闭 | —— | TP 0.18 / SL 0.12 | 1.3× | 35% | 1.0% |

> 说明:
>
> * Balanced:均衡型,适合多数时期;
> * Trend:顺势拉伸,持仓更久、盈亏比更高;
> * Scalper:快进快出、高胜率、不过度叠仓。

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## 使用建议

1. **品种/周期**:`CME_MINI:NQ1!`(或当季主力合约),**30m**。
2. **手续费**:本策略默认 **1 USD/合约**(在“策略属性”可按实盘成本调整)。
3. **成交精度**:建议在“策略属性 → 高级设置”勾选 **Bar Magnifier**,提升限价/拖尾成交模拟精度。
4. **仓位**:策略默认 90% 仅为展示;回测与实盘更建议 **30%\~40% 权益**。
5. **风险**:金字塔仅做轻量、有限层数;若市场极端震荡,适当降低单笔上限与当日亏损阈值。

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## 输入项(TradingView 右侧面板)

* **参数预设**:`Balanced / Trend / Scalper`
* **仅在 30m 周期生效**:开/关
* **出场模式**:`Auto(by preset) / Fixed TP/SL / Trailing / Trailing + TP`

> 其余细节参数由预设自动注入,无需手动繁杂调整,**开箱即用**。

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## 注意事项

* 本脚本为研究与教育用途,不构成投资建议。期货与杠杆交易风险高,请在可承受范围内使用。
* 预设适配历史统计特征,未来表现不保证;建议结合自身风控与账户规模,先小仓/纸面验证。
* 仅做多版本;若需要双向(多空)或加入 RTH(美股盘中)/HTF(更高周期确认)等扩展,请在评论区留言。

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**作者注**:

* 本策略在 Pine v6 编写,避免了常见的 v6 语法踩坑(如 `strategy.risk.max_position_size()` 仅 1 参、`plot` 标题需常量、追踪需成对参数 `trail_price + trail_offset` 等)。
* 欢迎在评论区反馈你的回测截图(区间、手续费、订单量),我会根据数据给出更贴合你的参数档。

# CoinGpt NQ Strategy (MACD · Multi-Factor · Optional Pyramiding)

## Overview

**CoinGpt NQ Strategy** is a ready-to-trade system for **Nasdaq-100 futures (NQ; recommended: `CME_MINI:NQ1!`) on the 30-minute timeframe**.
It uses **MACD momentum** as the backbone, adds an **EMA trend filter**, optional **pyramiding**, and **three exit modes** (Fixed TP/SL, Trailing, Trailing+TP) with built-in risk caps. Three one-click presets—**Balanced / Trend / Scalper**—cover different regimes and risk appetites.

> Instruments: futures / continuous contract
> Direction: **Long-only** (this script version)
> Timeframe: **30m** (toggleable)

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## Entry

* **Trigger:** `MACD` line crossing **above** `Signal`.
* **Trend filter (optional):** price above `EMA(p_emaLen)` and `MACD > 0 & Signal > 0`.
* **Timeframe guard:** by default, signals are valid on **30m** only.

## Exit

* **Fixed TP/SL:** percentage-based limit and stop.
* **Trailing:** ATR-based trailing offset (or percent).
* **Trailing + TP:** trailing stop **and** a take-profit cap.
* **Protective flip:** when `MACD` crosses **below** `Signal`, close the long.

> Choose exit mode in **Inputs → “Exit Mode”**:
> `Auto(by preset) / Fixed TP/SL / Trailing / Trailing + TP`.

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## Pyramiding (optional)

* Adds only **against adverse pullbacks** from the last add price.
* Up to `p_maxAdds` layers; each layer triggers at `p_addStep%` pullback from the **previous add**.
* Goal: **improve average price** with **small steps & limited layers** to keep drawdowns controlled.

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## Risk Management

* **Daily loss cap:** `strategy.risk.max_intraday_loss(p_maxDailyDD, % of equity)`.
* **Per-trade size cap:** `strategy.risk.max_position_size(p_posCapPct)`.
* **Order size (strategy properties):** default **90% of equity** (for display).

* Practical suggestion: Balanced ≈ **40%**, Trend ≈ **35%**, Scalper ≈ **30%** (set in Strategy Properties → Order size).

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## Presets (one-click)

| Preset | MACD (fast/slow/signal) | Trend EMA | Pyramiding | Add Step | Fixed TP/SL (%) | Trailing (ATR) | Pos Cap | Daily DD |
| ---------------------- | ----------------------- | --------- | ---------- | -------- | ------------------------- | -------------- | ------- | -------- |
| **Balanced (default)** | 8 / 21 / 5 | 233 | 2 layers | 0.12% | TP **0.22** / SL **0.15** | **1.2×** | **50%** | **1.5%** |
| **Trend** | 10 / 24 / 7 | 200 | 3 layers | 0.10% | TP **0.25** / SL **0.18** | **1.6×** | **45%** | **1.2%** |
| **Scalper** | 6 / 19 / 4 | 100 | Off | — | TP **0.18** / SL **0.12** | **1.3×** | **35%** | **1.0%** |

> **Balanced:** all-weather, stable.
> **Trend:** holds longer and targets higher R multiples.
> **Scalper:** quick in/out, higher hit-rate, no stacking.

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## Usage Tips

1. **Symbol/TF:** `CME_MINI:NQ1!`, **30m**.
2. **Fees:** default **\$1 per contract** (adjust to your broker in Strategy Properties).
3. **Execution realism:** enable **Bar Magnifier** (Strategy Properties → Advanced) for more accurate limit/trailing fills.
4. **Sizing:** the script defaults to 90% only to showcase behavior—use **30–40%** in realistic tests.
5. **Pyramiding:** keep layers small & capped. In choppy regimes, reduce `p_posCapPct` and `p_maxDailyDD`.

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## Inputs (right-panel)

* **Param Preset:** `Balanced / Trend / Scalper`
* **30m-only:** on/off
* **Exit Mode:** `Auto(by preset) / Fixed TP/SL / Trailing / Trailing + TP`

> All other parameters are pre-wired by the chosen preset for **plug-and-play** operation.

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## Notes & Disclaimer

* Educational use only—**not** financial advice. Futures and leverage carry substantial risk.
* Presets reflect historical characteristics; **future performance is not guaranteed**. Start small or paper trade first.
* This version is **long-only**; if you need a two-sided (long & short) variant or extras (RTH/HTF filters), leave a comment.

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**Author Notes**

* Written in **Pine v6** with common pitfalls avoided (e.g., `strategy.risk.max_position_size()` takes **one** arg, `plot` titles are **const strings**, trailing requires `trail_price + trail_offset`).
* Share your backtest screenshots (period, fees, order size) and I can suggest **tighter, data-driven knobs** for your setup.

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