"Phoenix SMC V5.2" 标识
指标
1 购买
版本 1.0, Feb 2026
Windows 版、Mac 版
4.7
评价:4
"Phoenix SMC V5.2" 已上传图片
"Phoenix SMC V5.2" 已上传图片
"Phoenix SMC V5.2" 已上传图片
"Phoenix SMC V5.2" 已上传图片
"Phoenix SMC V5.2" 已上传图片
"Phoenix SMC V5.2" 已上传图片
注册日期 16/02/2025
567.46M
交易量
774.17K
盈利点数
16
销售

PHOENIX SMC:机构起源与反转矩阵

非重绘逻辑
所有信号均实时生成,打印后保持锁定。
无事后调整,无消失标记——仅在实时市场条件下提供稳定且可操作的入场点。

停止交易随机区间。开始交易数学汇聚。

Phoenix SMC不仅仅是另一个支撑和阻力指标。它是一个完整的逻辑系统,旨在识别“凤凰起源区”(POZ)——机构资金积极进入市场以逆转趋势的特定价格水平。

与充斥着弱信号的标准指标不同,Phoenix 使用多时间框架矩阵成交量分析和专有的汇聚评分系统(0-100)过滤市场噪音,只向您展示最高概率的反转点。

1. 核心逻辑:“凤凰起源区”(POZ)

我们不使用标准的“订单区块”。相反,算法寻找起源区。凤凰起源区由三个严格标准定义:

  1. 流动性扫荡: 该动作必须首先突破之前的高点或低点(困住散户交易者)。
  2. 结构性突破(CHoCH): 价格必须立即反转并向相反方向突破结构。
  3. ATR 位移: 离开该区间的动作必须是爆发性的(通过ATR衡量),以证明机构意图。

如果某一区域没有动量,Phoenix 会忽略它。

2. 特点与策略

📊 汇聚评分(0-100)

每个区域都会自动评分。您无需猜测设置是否强劲。

  • < 50 分数: 汇聚较弱(风险较大)。
  • 50 - 75 分数: 强劲设置(标准交易)。
  • > 75 分数: “神级”设置(高位移 + 成交量 + 流动性扫荡)。

🌐 “升阶”矩阵(MTF 面板)

图表角落的抬头显示(HUD)会自动为您分析更高时间框架(HTF)

  • 趋势对齐: 检查HTF是看涨还是看跌。
  • 新鲜度: 告诉您趋势是新鲜还是过度延伸(陈旧)。
  • 溢价 / 折价: 防止您在顶部买入或底部卖出。

🔊 成交量与动量注入

价格行为离不开成交量。Phoenix 分析成交量流

  • V↑ 标记: 标记成交量显著高于移动平均线的区域。
  • 成交量激增: 突出显示具有异常机构活动的蜡烛线。

🎯 区中区嵌套

当较低时间框架的入场点与更高时间框架结构完美对齐时,信号最强。Phoenix 会检测这些“嵌套区”,并给予它们巨大的评分加成。

3. 如何使用 Phoenix 交易

反转策略:

  1. 等待区域: 寻找蓝色(买入)或橙色(卖出)框出现。
  2. 检查评分: 理想情况下,寻找汇聚评分高于60
  3. 检查矩阵: 确保MTF面板确认方向(例如,H4看涨表示买入信号)。
  4. 过滤: 确保价格处于买入的“折价”区或卖出的“溢价”区。
  5. 入场:区域边缘50% 平衡点(中点)下限价单。
  6. 止损: 使用指标显示的建议止损线(根据ATR波动性调整)。

4. 技术规格

  • 位移过滤器: 仅显示引发剧烈波动的区域(可自定义ATR倍数)。
  • 失败区域检测: 自动标记价格突破的区域,显示“✗”(将其转为突破机会)。
  • 视觉自定义: 完全控制颜色、不透明度和历史长度。
  • 提醒: 当新高分区创建信号时,原生cTrader弹窗和声音提醒。

不要仅仅交易图表。交易动作的起源。 立即获取 Phoenix SMC。

指标配置
指标分类
市场结构(SMC)
输出类型
可视化
信号
过滤器
数据要求
跳动点数据
仅 K 线
支持的信号
突破
反转
4.7
评价:4
5
75 %
4
25 %
3
0 %
2
0 %
1
0 %
客户评价
February 20, 2026
the product feels more useful when the plan is already written down. A 55 setup run on daily close keeps the review grounded.
February 16, 2026
This feels useful when you already has a plan. The main value is checking market bias, not chasing every signal that appears. A cautious first pass gives a cleaner opinion.
February 14, 2026
Not a hands off answer, but it has a clear role. It helps with AI assisted trading, while the weak spot is that AI output still needs a manual filter. The weak spot shows up when risk stops matching the setup.
February 11, 2026
The sample size matters. Tracking 30 AI calls first, compare the result with 2 timeframes, and only scale if 3 percent DD still looks controlled. A follow up check on it on 30 days.
BTCUSD
Forex
Signal
Indices
EURUSD
GBPUSD
NZDUSD
Scalping
SMC
Crypto
Stocks
AI
XAUUSD
NAS100
USDJPY
cTrader Store 提供的所有产品,包括交易机器人、指标和插件,均由第三方开发者提供,仅供信息参考和技术访问之用。cTrader Store 并非经纪商,不提供投资建议、个人推荐或任何未来业绩保证。

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注册日期 16/02/2025
567.46M
交易量
774.17K
盈利点数
16
销售