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Build in Public · Portfolio 公开建造 · 持仓驾驶舱

Portfolio · Conviction on Display 持仓 · 公开的决策

No amounts. Just sectors, theses, stages, and the scorecard behind every position. 不公开金额。只展示板块、逻辑、阶段,以及每个仓位背后的评分卡。

Current Regime 当前宏观 Defensive 防御期 0 / 4 green · Aggression 低 0/4 绿灯 · 激进度 低
Active Positions 活跃持仓 7
Markets 市场 1
Tracked Rules 监控规则 37
Upcoming Events 预告事件 2
Scan Hits (≥5) 扫描信号 0
Last Clearance 上次清仓 11d ago

🕐 Last updated: 2026-07-20 🕐 最后更新: 2026-07-20

Macro Thermometer 宏观温度计

The market temperature we're trading against 我们在和什么样的市场做交易

Defensive · 0/4 green防御期 · 0/4 绿灯
10Y UST 4.6%
DXY 101
VIX 18.65
NAAIM 95.64
Policy Stalemate 胶着

VIX & Regime · 60 days VIX 与 Regime · 60 天

Shaded bands mark regime transitions (green = offensive, amber = neutral, red = defensive). VIX line is the mood overlay. 色段为 regime 状态(绿=进攻、黄=中性、红=防御)。VIX 折线是情绪指标。

Allocation · Target vs Current 资产配置 · 目标 vs 当前

Five buckets, conviction on display 五桶资产,信念展示

Dalio three-bucket framework. Percentages are strategic targets; drift chips show current distance from each target. 达利欧三桶法框架。百分比是战略目标,偏差 chip 显示当前距目标的距离。

Stablecoin Yield 33.5% · Funds 32.4% · Gold 4% · Stocks 23.1% · Crypto 7%稳定币生息 33.5% · 基金与现金 32.4% · 黄金 4% · 股票 23.1% · 加密敞口 7%
TARGET 目标配比 vs CURRENT 当前持仓
Stablecoin Yield 稳定币生息 33.5% + 4.1pp
Funds 基金与现金 32.4% + 3.1pp
Gold 黄金 4% -0.4pp
Stocks 股票 23.1% -6.1pp
Crypto 加密敞口 7% -0.7pp

Allocation Drift 配置偏移趋势

0% 15% 30% 45% 2026-022026-032026-042026-052026-06 Stablecoin Yield稳定币生息 Funds基金与现金 Gold黄金 Stocks股票 Crypto加密敞口 - - target- - 目标

Capital Mobility Risk 资本流动风险

6/10 Elevated · Tightening 升温 · 收紧
Policy: High 政策: 偏高 Channels: Tightening 通道: 收紧 QDII: Watch QDII: 观察
Policy Pressure 政策压力 2/2
Channel Friction 通道摩擦 1/2
Legal Quota Pressure 合法额度压力 1/2
Enforcement Intensity 执法强度 1/2
Reversibility Risk 可逆性风险 1/2

Cross-border investment access is tightening; treat offshore liquidity as a strategic constraint, not just a yield choice. 跨境投资通道正在收紧;境外流动性应被视为战略约束,而不只是收益选择。

Risk Profile 风险画像

14/100 Defensive 防御型
Weighted Return 加权收益 5.7% 5.4%
Portfolio Volatility 组合波动率 9.7% 8.1%
Sharpe Ratio 夏普比率 0.22 0.22

Sharpe = (return − risk_free) / vol. Higher = better risk-adjusted return. 夏普比率 = (收益率 − 无风险利率) / 波动率。越高代表风险调整后收益越好。

Portfolio Health 组合健康度

3.7 /5.0
Healthy 健康

Composite score across quant factors — valuation, momentum, growth & risk. Higher = stronger fundamental & technical positioning. 量化综合评分,涵盖估值、动量、成长性与风险四因子。越高代表基本面和技术面定位越强。

Health Trend 健康度趋势

Portfolio Beta 组合Beta

1.40 / 1.38
Portfolio / Equity-only β 全组合 / 仅股票 β

Sensitivity to market moves. β=1 tracks the market; >1 amplifies swings; <1 dampens them. Portfolio β blends all assets; equity β isolates stock exposure. 对市场波动的敏感度。β=1 跟随大盘,>1 放大波动,<1 缓冲波动。组合 β 包含所有资产,股票 β 仅衡量股票敞口。

Beta Trend Beta趋势

Stablecoin Yield 稳定币生息

Target 目标 33.5%
Current 当前 37.6%
Exp. Return 预期年化 5%
Volatility 波动率 1%
USDT USDT USDC USDC 5% APY 5% 年化

Base layer — yield-producing, low beta, recession-resistant 底座层——带息、低 beta、抗衰退

Funds 基金与现金

Target 目标 32.4%
Current 当前 35.5%
Exp. Return 预期年化 3.2%
Volatility 波动率 3%
Cash & Deposits 银行活期 High-end Wealth Mgmt 高端稳健 Education Fund 教育基金

Cash buffer + conservative wealth management + earmarked funds (housing, education, receivable) 现金缓冲 + 保守理财 + 专项资金(买房/教育/应收)

Gold 黄金

Target 目标 4%
Current 当前 3.6%
Exp. Return 预期年化 3.5%
Volatility 波动率 24.5%
XAU ETF 黄金 ETF Liquidity Hedge 流动性对冲

Long-cycle liquidity hedge — not a candle chart. M2 inversion system entry. 长周期流动性对冲——不看五分钟K线。M2 倒挂体系入场。

Stocks 股票

Target 目标 23.1%
Current 当前 17%
Exp. Return 预期年化 8.6%
Volatility 波动率 22.1%
AI Power AI 电力 Core Infra 核心基建 US Megacap 美股大盘

Long + swing mix — AI-electricity core with opportunistic overlays 长期 + 波段组合——AI 电力核心 + 机会主义叠加

A-share A 股 8.8%

Crypto 加密敞口

Target 目标 7%
Current 当前 6.3%
Exp. Return 预期年化 12.6%
Volatility 波动率 32.5%
BTC BTC SNEK SNEK

Asymmetric bet — long-duration, non-correlated, high-volatility core 不对称下注——长久期、低相关、高波动核心

Crypto Dashboard 加密看板

Crypto Market Intelligence 加密市场全景

Crypto radar, market temperature, and on-chain metrics. 加密雷达、市场温度与链上指标。

Composite 36.7/100 · FGI — 综合 36.7/100 · FGI —

Market Pulse 市场脉搏

Extreme Fear极度恐惧 Extreme Greed极度贪婪
36.7 /100 Fear恐惧
↑ 0.4 vs yesterday较昨日

Crypto Tracker Indicators 加密追踪指标

Indicator指标 Status状态 Detail详情 Chg变化
Fear & Greed Index市场极度恐慌 Current:29当前:29 ↑1
Miner Capitulation矿工投降 Drawdown: -20.7%回撤: -20.7% →0
Black Swan Intensity黑天鹅强度 BSS:48.3BSS:48.3 ↓0.4
Macro VIX宏观股市熊市 VIX:18.6VIX:18.6 ↓0.2
OTC Reserve (SSR)场外资金储备 SSR:11.4%, Abundant OTCSSR:11.4%, 场外充裕 →0
MVRV Z-ScoreMVRV Z-Score Z:-1.17, Severely UndervaluedZ:-1.17, 严重低估 ↑0.02
BTC ETF FlowBTC ETF资金流 +1M, Neutral Flow+1M, 资金中性 ↓36
Dollar Index (DXY)美元指数DXY DXY:101.0DXY:101.0, 美元中性 ↑0.2

BTC Price & Sentiment Trend BTC 价格与情绪趋势

85K78K71K64K57K 0255075100 02-2203-2404-2305-2306-2207-21 BTC ($)BTC 价格 Composite综合指数

Portfolio Value Index 持仓价值指数

105.0102.5100.097.595.0 25-01-0125-03-1725-05-3125-08-1425-10-2826-01-1126-05-01 Indexed (base=100)基准=100
Max DD最大回撤 -6.19%
Current DD当前回撤 -0.49%
BTC BetaBTC Beta 0.06
Ann. Vol年化波动 9.97%

Gold Tracker · Long-cycle dashboard黄金跟踪 · 长周期仪表盘

Gold is a liquidity hedge, not a candle chart黄金看流动性,不看五分钟K线

M2 inversion, cost floor, peak drawdown and Shanghai premium in one decision layer.把 M2 倒挂、成本底、距高点回撤和境内溢价放在同一层判断。

XAU 4005.2 · M2 96.1% · Watch — Waiting for Better Entry金价 4005.2 · M2 96.1% · 观察 — 等待更好入场点

Spot XAU/USD现货金价

$4,005.2 -0.19% 1D
-27.18% from peak

Westwind M2 inversion system西风 M2 倒挂体系

Watch — Waiting for Better Entry
US M2美国 M223.06T / 24T
Status状态Normal Range正常区间

Gold Price (XAU/USD) · 250 days金价 (XAU/USD) · 250天

Bollinger Deviation · 250 days布林带偏离 · 250天

Gold / M2 Ratio金价 / M2 比值

173.7100–250 range

Shanghai Premium境内溢价

+0.09%−2% to +5% range

Active Positions 当前持仓

The 7 names that earned conviction 值得信念的 7 只

Each card shows sector tags, one-line thesis, distance to stop, and target. 每张卡片显示板块标签、一句逻辑、距止损线距离和目标价。

7 holdings · 2 high conviction7 只持仓 · 2 只高信念
AAPL 🇺🇸 🔥
US Megacap 美股大盘 Consumer Tech 消费科技

Cash flow moat + AI on-device optionality + buyback compound. Hold-forever core. 现金流护城河 + 端侧 AI 期权 + 回购复利。永远不卖核心。

Drivers 主要驱动
Free Cash Flow 自由现金流 USD 美元 Regulation 监管
Stop 止损 -32.6%
Target 目标 +-5.1%
DRAM 🇺🇸 🌱
semiconductor 半导体 memory 内存 AI-infrastructure AI基建

Memory/storage semiconductor cycle play — SK Hynix, Micron, Samsung weighted. HBM demand inflection from AI compute. 内存/存储芯片周期 — SK Hynix、Micron、Samsung 权重最大。HBM 需求受益于 AI 算力爆发。

Drivers 主要驱动
AI Capex AI资本开支 HBM Demand HBM需求 Memory Cycle 内存周期
No stop 无止损 / No target 无目标
ILMN 🇺🇸 🌱

No stop 无止损 / No target 无目标
NVDA 🇺🇸 🔥
Semiconductors 半导体 AI Infrastructure AI基础设施 Data Center 数据中心

AI infrastructure monopoly. 80%+ share in training & inference GPUs. Blackwell ramp + sovereign AI demand + Vera Rubin roadmap drive 30%+ revenue CAGR. H20 ban is noise — demand absorbed by other regions. AI基础设施核心垄断者,训练+推理GPU份额80%+。Blackwell放量+主权AI需求+Vera Rubin路线图三重驱动。H20禁令是短期噪音。

Drivers 主要驱动
AI Capex AI capex Data Center Demand 数据中心需求 Supply Chain 供应链
Stop止损 -10.9% / No target 无目标
OUST 🇺🇸 🌱
Autonomous Vehicles 自动驾驶 Lidar 激光雷达 Robotics 机器人

Digital lidar leader for autonomous vehicles and industrial automation — SPAD-based architecture enables lower cost and higher reliability vs legacy analog lidar 自动驾驶与工业自动化数字激光雷达领导者 — SPAD架构实现比传统模拟雷达更低成本更高可靠性

Drivers 主要驱动
Autonomy/Robotics 自动驾驶/机器人 Industrial Adoption 工业采用 Liquidity 流动性
Stop 止损 -32.0%
Target 目标 +15.0%
QQQ 🇺🇸 🌱
ETF ETF US Tech 美股科技 Large Cap 大盘

Nasdaq-100 broad exposure. Core beta for US tech growth. Complements individual stock picks with diversified large-cap tech exposure. 纳指100宽基配置,美股科技增长核心beta。补充个股持仓的分散化大盘科技敞口。

Drivers 主要驱动
Rates 利率 Liquidity 流动性 AI Capex AI capex
Stop止损 -16.2% / No target 无目标
SPCX 🇺🇸 🌱

No stop 无止损 / No target 无目标

Trade Replays · Closed Positions 交易回放 · 已清仓

Wins, near-misses, and the lesson attached to each 每笔清仓都带一条 lesson

Trade points marked: first entry, add, sell, stop-triggered exit. The annotation is the reasoning at the time — not edited after the fact. 每个关键交易点都标注:首次建仓、加仓、减仓、触发止损。备注是当时的判断,事后不改。

23 clearances23 条清仓记录
VGT Vanguard Information Technology ETF Vanguard 信息技术 ETF
+ 1% 59d 59天 Win 100% 胜率 100% 7 trades 7 笔
Entry $116.0617 买入均价 $116.0617 Exit $117.34 卖出均价 $117.34
ETF ETF US Tech 美股科技 Software 软件
entry $116.0617
Built position 分批建仓 Rex broker order list screenshot; filled buy order · BIT融资账户买入 · 加仓VGT · BIT.com auto-sync Rex broker order list screenshot; filled buy order · BIT融资账户买入 · 加仓VGT · BIT.com auto-sync
exit $117.34
Closed position 清仓 Full exit detected from Convex position status. 根据 Convex 持仓状态识别为已清仓。

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

SMH VanEck Semiconductor ETF VanEck 半导体 ETF
+ 5% 59d 59天 Win 100% 胜率 100% 9 trades 9 笔
Entry $580.7409 买入均价 $580.7409 Exit $609.8143 卖出均价 $609.8143
ETF ETF Semiconductors 半导体 AI Supply Chain AI供应链
entry $580.7409
Built position 分批建仓 Rex broker order list screenshot; filled buy order · BIT融资账户买入 · 建仓 VanEck 半导体 ETF · 加仓SMH · BIT.com auto-sync Rex broker order list screenshot; filled buy order · BIT融资账户买入 · 建仓 VanEck 半导体 ETF · 加仓SMH · BIT.com auto-sync
exit $609.8143
Closed via staged sells 分批清仓 减持2股。获利了结部分半导体ETF仓位。 减持2股。获利了结部分半导体ETF仓位。

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

CEG CEG CEG
-4% 71d 71天 Win 0% 胜率 0% 5 trades 5 笔
Entry $300.8217 买入均价 $300.8217 Exit $290.2642 卖出均价 $290.2642
AI Power AI 电力 Nuclear 核电 PPA 长协
entry $300.8217
Built position 分批建仓 美股成长建仓 · BIT MP00002929 filled buy order 1243924904412209152: CEG 5 @ 305.78 USD, 2026-05-26 09:53:28 ET 美股成长建仓 · BIT MP00002929 filled buy order 1243924904412209152: CEG 5 @ 305.78 USD, 2026-05-26 09:53:28 ET
exit $290.2642
Closed via staged sells 分批清仓 清仓:截图成交,Constellation Energy sold at 305.46 · 反弹10%清仓离场。能源板块缺乏支撑,买在高点属情绪化建仓。回归主线+指数。 · BIT.com auto-sync 清仓:截图成交,Constellation Energy sold at 305.46 · 反弹10%清仓离场。能源板块缺乏支撑,买在高点属情绪化建仓。回归主线+指数。 · BIT.com auto-sync

Reason 原因: Closed because ETFs are currently a better fit for my trading style than single-stock tactical positions. 当前判断:ETF 相对更适合自己做交易,所以先退出单一个股仓位。

Lesson 教训: If I don't have long-term conviction in a stock, holding through noise is hard. Strategy should shift toward vehicles I can own and trade with more discipline. 如果对这些股票没有长期持仓信心,一直持有会很困难。后续策略要调整:少做缺乏长期信念的单一个股,更多用更适合自己的 ETF 工具来交易。

GOOGL GOOGL GOOGL
-5% 34d 34天 Win 0% 胜率 0% 5 trades 5 笔
Entry $363.9843 买入均价 $363.9843 Exit $345.29 卖出均价 $345.29
entry $363.9843
Built position 分批建仓 Screenshot filled buy: GOOGL 2 @ 386.98; screenshot has no date/time, used local date 2026-05-22 · 加仓GOOGL · BIT.com manual sync Screenshot filled buy: GOOGL 2 @ 386.98; screenshot has no date/time, used local date 2026-05-22 · 加仓GOOGL · BIT.com manual sync
exit $345.29
Closed via staged sells 分批清仓 清仓——模型能力落后+人才竞争无亮点,thesis失效。转向指数+NVDA/AAPL等现金流标的。 · BIT.com auto-sync 清仓——模型能力落后+人才竞争无亮点,thesis失效。转向指数+NVDA/AAPL等现金流标的。 · BIT.com auto-sync

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

RKLB RKLB RKLB
-22% 8d 8天 Win 0% 胜率 0% 3 trades 3 笔
Entry $105.05 买入均价 $105.05 Exit $82.22 卖出均价 $82.22
Aerospace 航天 Defense 国防 Space Economy 太空经济
entry $105.05
Built position 分批建仓 RKLB建仓 SpaceX生态 太空经济 · BIT.com manual sync RKLB建仓 SpaceX生态 太空经济 · BIT.com manual sync
exit $82.22
Closed position 清仓 全部清仓25股。情绪面持续恶化+资金无进场迹象,放弃拆仓策略直接退出。原计划15core+10trim,改为全出。 全部清仓25股。情绪面持续恶化+资金无进场迹象,放弃拆仓策略直接退出。原计划15core+10trim,改为全出。

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

PLTR PLTR PLTR
-14% 6d 6天 Win 0% 胜率 0% 2 trades 2 笔
Entry $131.535 买入均价 $131.535 Exit $113.43 卖出均价 $113.43
AI Software AI软件 Government 政府 Data Analytics 数据分析
entry $131.535
Opened position 建立仓位 Swing Trade — 波段建仓,stop $122.50, TP1 $142, TP2 $155 Swing Trade — 波段建仓,stop $122.50, TP1 $142, TP2 $155
exit $113.43
Closed position 清仓 止损离场——支撑破位后2日无反弹无资金进场。原计划stop $122.50未执行,手动延迟2天卖出。 止损离场——支撑破位后2日无反弹无资金进场。原计划stop $122.50未执行,手动延迟2天卖出。

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

AVGO AVGO AVGO
+ 2% 5d 5天 Win 100% 胜率 100% 2 trades 2 笔
Entry $394.24 买入均价 $394.24 Exit $402.1762 卖出均价 $402.1762
entry $394.24
Opened position 建立仓位 AVGO建仓 AI定制芯片+数据中心网络 AVGO建仓 AI定制芯片+数据中心网络
exit $402.1762
Closed position 清仓 BIT.com auto-sync BIT.com auto-sync

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

518880 Gold ETF 黄金ETF
+ 1% 30d 30天 Win 100% 胜率 100% 5 trades 5 笔
Entry ¥8.9128 买入均价 ¥8.9128 Exit ¥8.975 卖出均价 ¥8.975
Gold 黄金 Liquidity Hedge 流动性对冲 A-share ETF A股ETF
entry ¥8.9128
Built position 分批建仓 初始建仓黄金ETF · 加仓黄金ETF · 新建仓黄金ETF 初始建仓黄金ETF · 加仓黄金ETF · 新建仓黄金ETF
exit ¥8.975
Closed via staged sells 分批清仓 截图成交:黄金ETF 09:42:19 全部成交 · 截图成交:黄金ETF 09:45:49 全部成交 截图成交:黄金ETF 09:42:19 全部成交 · 截图成交:黄金ETF 09:45:49 全部成交

Reason 原因: Closed the tactical gold ETF tranche after a small rebound; keep gold as a macro hedge framework, not a forced public holding. 黄金ETF战术仓位清仓,小幅反弹后落袋;黄金仍作为宏观对冲框架,不强行保留公开持仓。

Lesson 教训: Gold hedge sizing should stay tactical and rule-driven; treat ETF round trips separately from the long-cycle gold thesis. 黄金对冲仓位要保持战术化和规则化;ETF波段交易与长期黄金逻辑分开记录。

159381 ChiNext AI ETF 创业板人工智能ETF华夏
+ 20% 21d 21天 Win 100% 胜率 100% 6 trades 6 笔
Entry ¥1.1344 买入均价 ¥1.1344 Exit ¥1.365 卖出均价 ¥1.365
AI 人工智能 ChiNext 创业板 Thematic ETF 主题ETF
entry ¥1.1344
Built position 分批建仓 历史补录:rexliu-website commit 02fee2dd 初始 A股 ETF 持仓,纯交易日志,不改 materialized position · 竞价买入 11:21:27 · 竞价买入 14:52:03 · 份额拆分/券商持仓校准:华夏创业板人工智能ETF 2026-06-02 权益登记、2026-06-03 1:2 拆分;将系统持仓调至截图卖出前 110400 份 · 国泰海通买入 历史补录:rexliu-website commit 02fee2dd 初始 A股 ETF 持仓,纯交易日志,不改 materialized position · 竞价买入 11:21:27 · 竞价买入 14:52:03 · 份额拆分/券商持仓校准:华夏创业板人工智能ETF 2026-06-02 权益登记、2026-06-03 1:2 拆分;将系统持仓调至截图卖出前 110400 份 · 国泰海通买入
exit ¥1.365
Closed position 清仓 截图成交:创业板人工智能 09:36:46 全部成交 截图成交:创业板人工智能 09:36:46 全部成交

Reason 原因: Closed A-share policy beta exposure after retreat signal and position reconciliation. A股政策 beta / AI 主题仓位清仓;已按基金份额拆分与券商成交校准。

Lesson 教训: A-share thematic ETFs need split/corporate-action checks before position-level decisions. A股主题ETF必须把份额拆分/折算纳入持仓校验,否则系统数量会失真。

588000 STAR 50 ETF 科创50ETF
+ 1% 20d 20天 Win 100% 胜率 100% 7 trades 7 笔
Entry ¥1.9102 买入均价 ¥1.9102 Exit ¥1.938 卖出均价 ¥1.938
STAR Market 科创板 China Policy Beta 中国政策 beta A-share ETF A股ETF
entry ¥1.8162
Built position 分批建仓 科创50ETF竞价买入 · 竞价买入 10:21:36 · 竞价买入 14:50:14 · 国泰海通买入 · 科创50加仓 科创50ETF竞价买入 · 竞价买入 10:21:36 · 竞价买入 14:50:14 · 国泰海通买入 · 科创50加仓
exit ¥1.938
Closed via staged sells 分批清仓 科创50 卖出 全部成交 14:52:59 · 科创50 卖出 全部成交 14:54:08 科创50 卖出 全部成交 14:52:59 · 科创50 卖出 全部成交 14:54:08

Reason 原因: Closed the STAR 50 ETF position after the A-share policy-beta rebound; remove the position from active holdings and risk monitoring. 科创50ETF已在A股政策 beta 反弹后分批清仓;从 active 持仓与风险监控中移除。

Lesson 教训: For policy-beta ETF trades, the position snapshot before close is the authority when historical trade backfill is incomplete. 政策 beta ETF 的历史补录不完整时,清仓前持仓快照才是收益率校准依据。

159632 NASDAQ ETF Huaxia/HuaAn 纳斯达克ETF华安
+ 5% 9d 9天 Win 100% 胜率 100% 4 trades 4 笔
Entry ¥2.3735 买入均价 ¥2.3735 Exit ¥2.483 卖出均价 ¥2.483
NASDAQ-100 纳斯达克100 US Tech Exposure 美股科技敞口 Cross-border ETF 跨境ETF
entry ¥2.3735
Built position 分批建仓 国泰海通买入 · 纳斯达克ETF加仓 · 加仓纳斯达克ETF 国泰海通买入 · 纳斯达克ETF加仓 · 加仓纳斯达克ETF
exit ¥2.483
Closed position 清仓 截图成交:纳斯达克ETF华安 09:38:33 全部成交 截图成交:纳斯达克ETF华安 09:38:33 全部成交

Reason 原因: Closed short-term A-share listed Nasdaq ETF tranche after fast rebound. A股跨境纳指ETF短线仓位清仓,反弹后落袋。

Lesson 教训: Reopened tickers must not inherit stale clearance mechanics from prior round trips. 同一 ticker 重新开仓后,清仓记录不能继承上一轮交易的机械数据。

MU MU MU
+ 18% 17d 17天 Win 100% 胜率 100% 4 trades 4 笔
Entry $850.3035 买入均价 $850.3035 Exit $1003.436 卖出均价 $1003.436
entry $850.3035
Opened position 建立仓位 BIT MP00002929 order-list screenshot; filled buy: 美光科技 3 @ 850.3035 BIT MP00002929 order-list screenshot; filled buy: 美光科技 3 @ 850.3035
exit $1003.436
Closed via staged sells 分批清仓 BIT.com auto-sync · 减仓MU · 清仓MU BIT.com auto-sync · 减仓MU · 清仓MU

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

SNDK SNDK SNDK
+ 3% 10d 10天 Win 100% 胜率 100% 2 trades 2 笔
Entry $1590 买入均价 $1590 Exit $1644.4404 卖出均价 $1644.4404
entry $1590
Opened position 建立仓位 BIT MP00002929 order-list screenshot; filled buy: 闪迪 1 @ 1590.0000 BIT MP00002929 order-list screenshot; filled buy: 闪迪 1 @ 1590.0000
exit $1644.4404
Closed position 清仓 BIT account limit sell, cleared position BIT account limit sell, cleared position

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

IREN IREN IREN
+ 5% 5d 5天 Win 100% 胜率 100% 2 trades 2 笔
Entry $62.63 买入均价 $62.63 Exit $65.67 卖出均价 $65.67
entry $62.63
Opened position 建立仓位 Generated from Convex buy records. 由 Convex 买入记录生成。
exit $65.67
Closed position 清仓 BIT.com auto-sync BIT.com auto-sync

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

QTUM QTUM QTUM
+ 8% 6d 6天 Win 100% 胜率 100% 3 trades 3 笔
Entry $146.38 买入均价 $146.38 Exit $157.63 卖出均价 $157.63
entry $146.38
Opened position 建立仓位 Screenshot filled buy: QTUM 7 @ 146.38, 2026-05-21 09:36:07 ET Screenshot filled buy: QTUM 7 @ 146.38, 2026-05-21 09:36:07 ET
exit $157.63
Closed via staged sells 分批清仓 Take profit on satellite position Take profit on satellite position

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

BOTZ BOTZ BOTZ
-1% 6d 6天 Win 0% 胜率 0% 4 trades 4 笔
Entry $40.33 买入均价 $40.33 Exit $40.07 卖出均价 $40.07
entry $40.33
Built position 分批建仓 Screenshot filled buy: BOTZ 10 @ 39.20, 2026-05-21 09:34:11 ET · Screenshot filled buy: BOTZ 10 @ 40.36; screenshot has no date/time, used local date 2026-05-22 · BIT MP00002929 order-list screenshot; filled buy: Global X Robotics & AI ETF 20 @ 40.8800 Screenshot filled buy: BOTZ 10 @ 39.20, 2026-05-21 09:34:11 ET · Screenshot filled buy: BOTZ 10 @ 40.36; screenshot has no date/time, used local date 2026-05-22 · BIT MP00002929 order-list screenshot; filled buy: Global X Robotics & AI ETF 20 @ 40.8800
exit $40.07
Closed position 清仓 Full exit detected from Convex position status. 根据 Convex 持仓状态识别为已清仓。

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

UFO UFO UFO
+ 1% 1d 1天 Win 100% 胜率 100% 2 trades 2 笔
Entry $65.18 买入均价 $65.18 Exit $66.15 卖出均价 $66.15
entry $65.18
Opened position 建立仓位 BIT MP00002929 order-list screenshot; filled buy: Procure Space ETF 15 @ 65.1800 BIT MP00002929 order-list screenshot; filled buy: Procure Space ETF 15 @ 65.1800
exit $66.15
Closed position 清仓 Full exit detected from Convex position status. 根据 Convex 持仓状态识别为已清仓。

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

NOW NOW NOW
+ 7% 1d 1天 Win 100% 胜率 100% 7 trades 7 笔
Entry $100.95 买入均价 $100.95 Exit $107.9025 卖出均价 $107.9025
entry $100.95
Built position 分批建仓 建仓 ServiceNow · 加仓 ServiceNow 第二笔 · BIT platform buy 5 shares 建仓 ServiceNow · 加仓 ServiceNow 第二笔 · BIT platform buy 5 shares
exit $107.9025
Closed via staged sells 分批清仓 BIT.com auto-sync BIT.com auto-sync

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

POET POET Technologies POET科技
-11% 3d 3天 Win 0% 胜率 0% 2 trades 2 笔
Entry $18.56 买入均价 $18.56 Exit $16.5 卖出均价 $16.5
AI Infrastructure AI基础设施 Photonics 光子芯片 Semiconductors 半导体
entry $18.56
Opened position 建立仓位 BIT融资账户新建仓 BIT融资账户新建仓
exit $16.5
Closed position 清仓 清仓卖出 POET Technologies 清仓卖出 POET Technologies

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

01816 CGN Power 中国广核电力
-15% 24d 24天 Win 0% 胜率 0% 2 trades 2 笔
Entry HK$3.44 买入均价 HK$3.44 Exit HK$2.922 卖出均价 HK$2.922
Nuclear Power 核电 Clean Base Load 清洁基荷
entry HK$3.44
Opened position 建立仓位 电力能源组合建仓(港股通) 电力能源组合建仓(港股通)
exit HK$2.922
Closed position 清仓 港股清仓,转A股003816 港股清仓,转A股003816

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

TSLA TSLA TSLA
+ 12% 15d 15天 Win 100% 胜率 100% 2 trades 2 笔
Entry $382.4 买入均价 $382.4 Exit $427.725 卖出均价 $427.725
EV 电动车 Autonomy 自动驾驶 AI/Robotics AI/机器人
entry $382.4
Opened position 建立仓位 Rex 手动交易 4/23 Rex 手动交易 4/23
exit $427.725
Closed position 清仓 Rex 手动卖出;订单 1237404052984213504;截图显示 BIT(MP00002929),系统按现有 TSLA 美股账户记录;成交金额 855.45 USD;10:01:56 美东 Rex 手动卖出;订单 1237404052984213504;截图显示 BIT(MP00002929),系统按现有 TSLA 美股账户记录;成交金额 855.45 USD;10:01:56 美东

Reason 原因: Auto-generated closed position from Convex trade and position records. 由 Convex 交易与持仓记录自动生成的清仓记录。

Lesson 教训: Add an editorial lesson in portfolio-overrides clearances only if this exit deserves a manual review. 只有值得复盘的清仓,才需要在 portfolio-overrides clearances 里补充人工经验。

HOOD Robinhood Markets Robinhood
+ 9% 5d 5天 Win 100% 胜率 100% 1 trades 1 笔
Fintech 金融科技 Prediction Markets 预测市场
entry 82.3
Built swing position 建仓波段 Avg cost $82.30. Prediction market + crypto flywheel thesis. 均价 $82.30。预测市场 + 加密飞轮逻辑。
exit 89.71
Full exit at target 目标价清仓 Exit at $89.71. +9.0% realized, $148 profit. 清仓 $89.71。实现 +9.0%,盈利 $148。

Reason 原因: Short-term target reached ($88-92 band). Swing position closed at $89.71. 短期目标价区间 $88-92 达成,$89.71 平仓。

Lesson 教训: Prediction market narrative drove the trade, but execution was clean — pre-identified target, disciplined exit. Small position size limited upside but kept risk in check. 预测市场叙事驱动了这笔交易,执行纪律到位——预设目标价、果断平仓。小仓位限制了上行空间,但风险可控。

equipment-combo Capacity Equipment Combo · 3 stocks 产能设备组合 · 三只
+ 5% 14d 14天 Win 100% 胜率 100% 7 trades 7 笔
Industrial 工程机械 Equipment Export 设备出海
Basket 组合成分
600031 Sany Heavy 三一重工 + 5.9% 14d 14天 601100 Hengli Hydraulics 恒立液压 + 7.7% 7d 7天 560280 Construction Machinery ETF 工程机械ETF + 2.7% 14d 14天
entry
Theme-driven entry, signal not yet fired 主题驱动建仓,信号未触发 Sany + ETF. RSI 40.7 vs <30 required 三一 + ETF。RSI 40.7 未到严格阈值 <30
catalyst
Sany FY2025 earnings beat 三一年报催化 Net profit +41.2% YoY, overseas revenue 64% 归母 +41.2%、海外收入 64%,超预期
exit
Full clearance on tariff shock + stop rule 关税冲击 + 止盈规则清仓 Sany +5.9%, Hengli +7.7%, ETF +2.7% 三一 +5.9%,恒立 +7.7%,ETF +2.7%

Reason 原因: Tariff escalation to 245% + trailing-stop rule both fired — cleared next morning 关税升级到 245% + 移动止盈规则同时触发,次日清仓

Lesson 教训: Theme won this round, but the strict co-signal never fired. Pre-positioning on narrative = strategy-external profit, don't count as validation. Next cycle: wait for the signal. 主题赢了,但严格共振信号从未触发。基于叙事的提前入场 = "策略外获利",不能当作策略验证。下一轮必须等信号。

Methodology · 8-Stage Funnel 方法论 · 八阶段漏斗

From macro thermometer to post-trade review 从宏观温度计到持仓复盘

Every position passes through these stages. Some are automated cron tasks, some require human judgment. Round-trip is weeks, not days. 每个持仓都要走过这些阶段。部分是自动 cron,部分需要人工判断。完整走一圈以周为单位,不是天。

8-stage funnel · automated + manual八阶段漏斗 · 自动 + 人工
0

Macro Thermometer 宏观温度计

Daily 每日

Read market regime: offensive / neutral / defensive 判断市场温度:进攻 / 中性 / 防御

1

Sector Research 赛道研究

Manual 手动

1-2 day deep report before picking stocks 选股之前先做重度赛道报告

2

Watchlist Scan 个股池初筛

Daily 每日

15 tickers, 5-dimension filter → 10-20 names 15 只标的五维扫描 → 10-20 家观察名单

3

Short List 短名单

Daily 每日

Valuation + catalyst + technicals → 3-5 names 估值 + 催化 + 技术面 → 3-5 家可操作短名单

4

Deep Research 深度研究

Skill Skill

Skill: 4+1 card per company, 3 hard theses Skill:每家公司 4+1 段名片 + 三条硬结论

5

Roundtable 圆桌讨论

Skill Skill

6-seat masters challenge the theses; dissent required 6 席位大师挑战结论;反方必选

6

Execution Plan 执行计划

Scorecard 评分卡

10-point scorecard ≥7, R:R ≥ 2.0, 3 stop-lines 10 分评分卡 ≥7,R:R ≥ 2.0,3 条撤退线

MA200 支撑 RSI 量价 R:R ≥ 2.0 Score ≥ 7 / 10 to trade ≥ 7/10 才下单
7

Position Management 持仓管理 + 复盘

4-tier 四层

L0-L3 monitoring + monthly/quarterly/annual reviews L0-L3 四层监控 + 月/季/年复盘

Monthly 月度 Quarterly 季度 Annual 年度
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