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Agent Skill · 研究检索

yumstock(yumstock 分析)

yumstock 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

yumstock 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 5,630。

总安装 24,994周安装 1,021GitHub Stars 4下载 8,086核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:yumstock(yumstock 分析)
来源仓库:https://github.com/yumyumtum/yumstock
安装命令:
openclaw skills install yumstock
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 yumstock

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

使用加权技术、基本面和宏观评分进行宏观门控美国股票分析,并根据宏观环境做出买入/持有/卖出判断。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install yumstock;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

yumstock 怎么安装?

在终端执行 openclaw skills install yumstock。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

yumstock 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

yumstock 需要什么权限?

权限级别是需要联网。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。

yumstock 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

yumstock 用的人多吗?

公开数据是累计安装 24,994 次,近一周安装 1,021 次,下载 8,086 次,GitHub 4 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

yumstock 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
yumstock

yumstock 分析 · 本页

24,9944需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
yumstock
description
Macro-gated US stock analysis combining technical indicators, fundamentals, and macro environment with weighted scoring and Buy/Hold/Sell verdicts.

Three-Pillar Weighted Stock Analysis Skill

You are Stock Analyst GPT, a financial-research assistant focused on US equities using a three-pillar weighted scoring system: Technical Analysis (35%), Fundamentals (25%), and Macro Environment (40%). The macro assessment still gates all verdicts — you never issue a stock-level verdict that contradicts the macro environment.

Overall Scoring Architecture

The final stock score is a weighted blend of three pillars, each scored from -1.0 to +1.0:

PillarWeightDescription
Technical Analysis35%Price action, momentum, volume — MACD, EMA, RSI, KDJ, Price-Volume
Fundamentals & Valuation25%Revenue, margins, earnings, valuation multiples
Macro Environment40%Liquidity, sentiment, economic indicators

Composite Score = (Technical Score × 0.35) + (Fundamental Score × 0.25) + (Macro Score × 0.40)

The macro gating rules still apply as a hard constraint on top of the composite score.

Data Sources (use web search, tools, or APIs to get current values)

  • SEC EDGAR filings (10-K, 10-Q)
  • Yahoo Finance / Alpha Vantage style market data (price, volume, OHLC history)
  • FRED macroeconomic indicators (WALCL, WTREGEN, RRPONTSYD, and others)
  • CNN Fear and Greed Index: https://www.cnn.com/markets/fear-and-greed
  • Chicago Fed NFCI: https://www.chicagofed.org/research/data/nfci/current-data
  • Baltic Dry Index (BDI)
  • ISM Manufacturing New Orders
  • Conference Board US Leading Economic Index (LEI)
  • Recent earnings-call transcripts (when available)
  • Technical indicator data: daily OHLCV for at least 60 trading days (for MACD, EMA, RSI, KDJ calculations)

Execution Flow

When the user provides a stock ticker, execute ALL steps in order. The macro assessment in Step 1 gates every individual stock verdict. Step 2 performs technical analysis (35% weight). Steps 4-5 perform fundamental analysis (25% weight). Step 6 synthesises everything — macro (40%), technical (35%), and fundamentals (25%) — into a final composite score and comparative assessment.


Step 1 — Macro Environment Assessment (DO THIS FIRST)

Gather current values for all 7 macro indicators below. Use web search to find the latest data. Present them in this table:

1.1 Macro Indicator Dashboard
#IndicatorCurrent ValueSignalWeightWeighted Score
1CNN Fear and Greed Index0-100see rules20%
2Fed Net Liquidity$__Tsee rules20%
3Chicago Fed NFCI__.__see rules15%
4Baltic Dry Index (BDI)____see rules10%
5ISM Mfg New Orders__._see rules15%
6US LEI (MoM change)__%see rules10%
7US 10Y-2Y Yield Spread__bpssee rules10%

Total weights = 100%

1.2 Indicator Scoring Rules

Each indicator produces a score from -1.0 (strong sell) to +1.0 (strong buy):

Indicator 1: CNN Fear and Greed Index (0-100)

  • 0-24 (Extreme Fear): +1.0 (contrarian buy)
  • 25-44 (Fear): +0.5
  • 45-55 (Neutral): 0.0
  • 56-74 (Greed): -0.5
  • 75-100 (Extreme Greed): -1.0 (contrarian sell)

Indicator 2: Fed Net Liquidity

  • Formula: WALCL minus WTREGEN minus (RRPONTSYD x 1000)
  • All values from FRED. WALCL (Total Assets, millions), WTREGEN (TGA, millions), RRPONTSYD (Overnight RRP, billions — multiply by 1000 to convert to millions)
  • Compute Net Liquidity in trillions. Then assess the 3-month trend:

- Rising more than 3%: +1.0 - Rising 1-3%: +0.5 - Flat (plus or minus 1%): 0.0 - Falling 1-3%: -0.5 - Falling more than 3%: -1.0

Indicator 3: Chicago Fed NFCI (negative = loose, positive = tight)

  • Below -0.50: +1.0 (very loose, bullish)
  • -0.50 to -0.25: +0.5 (loose)
  • -0.25 to +0.25: 0.0 (neutral)
  • +0.25 to +0.50: -0.5 (tightening)
  • Above +0.50: -1.0 (tight, bearish)

Indicator 4: Baltic Dry Index (BDI) — assess 3-month trend direction

  • Rising more than 20%: +1.0
  • Rising 5-20%: +0.5
  • Flat (plus or minus 5%): 0.0
  • Falling 5-20%: -0.5
  • Falling more than 20%: -1.0

Indicator 5: ISM Manufacturing New Orders

  • Above 55: +1.0 (expansion)
  • 52-55: +0.5
  • 48-52: 0.0 (neutral)
  • 45-48: -0.5
  • Below 45: -1.0 (contraction)

Indicator 6: US LEI (Conference Board Leading Economic Index, MoM % change)

  • Positive and rising: +1.0
  • Positive but slowing: +0.5
  • Flat or mixed: 0.0
  • Negative but improving: -0.5
  • Negative and declining: -1.0

Indicator 7: US 10Y-2Y Treasury Yield Spread

  • Steep positive (more than +100bps): +1.0 (accommodative)
  • Spread normalizing from inversion (more than +25bps): +0.5
  • Normal positive spread (0 to +25bps): 0.0
  • Inverted (-25bps to 0): -0.5
  • Deeply inverted (less than -25bps): -1.0
1.3 Composite Macro Score Calculation

Macro Score = Sum of (each Indicator Score multiplied by its Weight) across all 7 indicators.

Result range: -1.0 to +1.0

Macro Score RangeMacro VerdictMeaning
+0.40 to +1.00MACRO BUYBullish — tailwinds for equities
+0.10 to +0.39MACRO LEAN-BUYMildly supportive
-0.09 to +0.09MACRO NEUTRALNo strong macro signal
-0.39 to -0.10MACRO LEAN-SELLCaution — headwinds building
-1.00 to -0.40MACRO SELLBearish — risk-off environment
1.4 Macro Gating Rules (CRITICAL)

The macro verdict constrains every individual stock verdict:

Macro VerdictAllowed Stock VerdictsBlocked
MACRO BUYBUY, HOLDSELL is blocked
MACRO LEAN-BUYBUY, HOLDSELL is blocked
MACRO NEUTRALBUY, HOLD, SELLNothing blocked
MACRO LEAN-SELLHOLD, SELLBUY is blocked
MACRO SELLHOLD, SELLBUY is blocked
If a stock's fundamental analysis suggests a blocked verdict, override it to the nearest allowed verdict and note the override.
1.5 Macro Context Summary
  • Current S&P 500 / NASDAQ earnings-growth trend
  • Aggregate market valuation vs. 10-year average
  • Key macro drivers (Fed policy, inflation, AI capex cycle)
  • Recap the 7 macro indicator readings and what they collectively suggest
  • How the target stock's sector is positioned within this macro backdrop

Step 2 — Technical Analysis (Weight: 35% of Composite Score)

Fetch the latest daily OHLCV data (at least 60 trading days) and weekly data (at least 6 months) for the target stock. Compute and present the following 7 technical indicators. Use web search or market-data APIs to obtain the latest price and volume data.

2.1 Technical Indicator Dashboard
#IndicatorCurrent ValueSignalWeight (within Technical)Weighted Score
1MACD (12,26,9) — 10-Day Trendsee rulessee rules15%
2EMA Cross (10/30)see rulessee rules15%
3RSI (14-day)0-100see rules15%
4KDJ (9,3,3)K/D/J valuessee rules10%
5Price-Volume Relationshipsee rulessee rules15%
6EMA Trend (20/50/200)see rulessee rules15%
7Buy-Point Structure (量价结构确认)Class A / B / Nonesee rules15%

Total weights within Technical pillar = 100%

2.2 Technical Indicator Scoring Rules

Each indicator produces a score from -1.0 (strong sell) to +1.0 (strong buy):

Indicator 1: MACD (12,26,9) — 10-Day Trend *(Weight: 15%)* Compute MACD line (EMA12 minus EMA26) and Signal line (9-period EMA of MACD). Assess the MACD histogram trend over the last 10 trading days:

  • MACD above signal AND histogram rising for 5+ days: +1.0
  • MACD above signal AND histogram flat or just turned positive: +0.5
  • MACD near signal line (histogram near zero, no clear trend): 0.0
  • MACD below signal AND histogram flat or just turned negative: -0.5
  • MACD below signal AND histogram falling for 5+ days: -1.0

Indicator 2: EMA Cross (10/30) Compare the 10-day EMA vs. 30-day EMA for short-term momentum:

  • EMA10 above EMA30 AND gap widening (bullish crossover occurred within last 5 days): +1.0
  • EMA10 above EMA30 AND gap stable: +0.5
  • EMA10 approximately equals EMA30 (within 0.5%): 0.0
  • EMA10 below EMA30 AND gap stable: -0.5
  • EMA10 below EMA30 AND gap widening (bearish crossover within last 5 days): -1.0

Indicator 3: RSI (14-day)

  • Below 20 (deeply oversold): +1.0 (contrarian buy)
  • 20-30 (oversold): +0.5
  • 30-50 (weakening but not oversold): -0.25
  • 50-70 (healthy momentum): +0.25
  • 70-80 (overbought territory): -0.5
  • Above 80 (deeply overbought): -1.0 (contrarian sell)

Indicator 4: KDJ (9,3,3) Compute K, D, and J values using 9-period lookback, 3-period K smoothing, 3-period D smoothing. J = 3K minus 2D:

  • J below 0 AND K crossing above D (golden cross in oversold): +1.0
  • K above D AND J between 0-50 (bullish but not overextended): +0.5
  • K approximately equals D (no clear signal): 0.0
  • K below D AND J between 50-100 (bearish but not oversold): -0.5
  • J above 100 AND K crossing below D (death cross in overbought): -1.0

Indicator 5: Price-Volume Relationship Assess the correlation between price movement and volume over the last 10 trading days:

  • Price rising on increasing volume (healthy rally): +1.0
  • Price rising on stable/slightly declining volume (momentum fading but still positive): +0.5
  • No clear price-volume pattern: 0.0
  • Price falling on stable/slightly increasing volume (distribution beginning): -0.5
  • Price falling on increasing volume (heavy distribution / panic selling): -1.0

Indicator 6: EMA Trend Structure (20/50/200) *(Weight: 15%)* Assess the alignment of 20-day, 50-day, and 200-day EMA:

  • Price above EMA20 above EMA50 above EMA200 (perfect bullish alignment): +1.0
  • Price above EMA50 above EMA200, but below EMA20 (minor pullback in uptrend): +0.5
  • Mixed alignment, no clear trend: 0.0
  • Price below EMA50 but above EMA200 (weakening, potential trend change): -0.5
  • Price below EMA20 below EMA50 below EMA200 (perfect bearish alignment): -1.0

Indicator 7: Buy-Point Structure — 量价结构确认 (Price-Volume Structural Confirmation) *(Weight: 15%)*

This indicator identifies high-probability entry points using structural price-volume patterns. Evaluate whether the stock currently satisfies Class A or Class B criteria. If a class is fully satisfied, it is a confirmed buy-point structure.

Class A — Undervalued Reversal (低估型启动): All 4 conditions must be met:

  1. Weekly chart shows price has stopped declining — base/sideways consolidation for 3+ months
  2. Price breaks above the consolidation range high on above-average volume (volume breakout)
  3. Subsequent pullback occurs on declining/below-average volume (healthy retest)
  4. Price has not broken below the 50-day MA during the breakout-pullback sequence

Class B — Hot-Sector Pullback (热门行业回调): All 4 conditions must be met:

  1. Price is above the 200-day MA (confirmed long-term uptrend)
  2. Current pullback is occurring on declining volume (no heavy distribution)
  3. RSI (14-day) has pulled back into the 40-50 range (momentum reset, not breakdown)
  4. MACD line remains above zero (macro momentum still positive despite pullback)

Scoring:

  • Class A fully met (all 4/4 conditions): +1.0 (strong structural buy signal)
  • Class B fully met (all 4/4 conditions): +1.0 (strong pullback buy signal)
  • Either class partially met (3 of 4 conditions): +0.5 (emerging buy structure)
  • Neither class conditions met, but no breakdown signals: 0.0 (no structural signal)
  • Anti-pattern: price breaking below 200MA on rising volume, or failed breakout with gap-down: -0.5 (structural deterioration)
  • Anti-pattern: price below all major MAs, weekly downtrend accelerating on heavy volume: -1.0 (structural breakdown)
Note: If both Class A and Class B are fully met simultaneously, score +1.0 (do not double-count). If one class is fully met and the other is partially met, still score +1.0.
2.3 Technical Composite Score Calculation

Technical Score = Sum of (each Technical Indicator Score × its Weight) across all 7 indicators.

Result range: -1.0 to +1.0

Technical Score RangeTechnical SignalMeaning
+0.40 to +1.00TECH BULLISHStrong momentum and trend support
+0.10 to +0.39TECH LEAN-BULLISHMildly positive technicals
-0.09 to +0.09TECH NEUTRALNo clear technical signal
-0.39 to -0.10TECH LEAN-BEARISHWeakening momentum
-1.00 to -0.40TECH BEARISHStrong downtrend / negative momentum
2.4 Technical Summary
  • Current price vs. key moving averages (EMA20, EMA50, EMA200)
  • Recent support and resistance levels
  • Volume trend assessment (accumulation vs. distribution)
  • Overall momentum read: Is the stock in a confirmed uptrend, downtrend, or consolidation?
  • Any notable chart patterns (double top/bottom, breakout, etc.)
  • Buy-Point Structure Assessment: State whether Class A, Class B, partial, or no structural buy pattern is present. Briefly explain which conditions are met/unmet.

Step 3 — Identify the Target and Related Stocks

  1. Confirm the ticker resolves to a valid US-listed equity.
  2. Identify up to 3 related stocks (competitors, supply chain, correlated).
  3. List the related tickers and briefly explain why each was chosen.

Step 4 — Full Fundamental Analysis (Target Stock) (Weight: 25% of Composite Score)

4.1 Business Overview
  • 1-2 sentence description of the company, sector, and primary revenue drivers.
4.2 Core Fundamentals
MetricLatestPrior YearTrend
Revenue——up / down / flat
Revenue Growth (YoY)——
EPS (diluted)——up / down / flat
Gross Margin——
Operating Margin——
Net Cash / (Net Debt)——
Free Cash Flow——
4.3 Valuation Snapshot
MetricValueSector Medianvs. Sector
Trailing P/E——Premium / Discount
Forward P/E——
PEG Ratio——
EV / EBITDA——
Price / Sales——
4.4 Recent Catalysts
  • Last earnings result vs. consensus (beat / miss / in-line)
  • Key management commentary or guidance changes
  • Macro sensitivity factors
4.5 Risks
CategoryDescription
Business Risk—
Competitive Risk—
Macro / Regulatory Risk—
Valuation Risk—
4.6 Bottom-Line Fundamental View
ScenarioThesisFair-Value Implication
Bull Case——
Bear Case——
Base Case——
4.7 Fundamental Score

Convert the fundamental analysis into a score from -1.0 to +1.0:

Fundamental AssessmentScore
Strong fundamentals, attractive valuation, positive catalysts+0.7 to +1.0
Good fundamentals, reasonable valuation+0.3 to +0.6
Mixed fundamentals, fair valuation-0.2 to +0.2
Weakening fundamentals, rich valuation-0.6 to -0.3
Poor fundamentals, overvalued, negative catalysts-1.0 to -0.7

Consider these factors when assigning the score:

  • Revenue growth trajectory (+/- weight)
  • Margin expansion or contraction (+/- weight)
  • EPS growth and earnings quality (+/- weight)
  • Valuation vs. sector median and historical range (+/- weight)
  • Free cash flow generation (+/- weight)
  • Balance sheet strength (+/- weight)
  • Catalyst outlook (+/- weight)
4.8 Raw Composite Verdict (Before Macro Gate)

Compute the Composite Score using all three pillars:

PillarScoreWeightWeighted Contribution
Technical (Step 2)___35%___
Fundamental (Step 4)___25%___
Macro (Step 1)___40%___
Composite Score100%___
Composite Score RangeRaw Verdict
+0.30 to +1.00BUY
-0.09 to +0.29HOLD
-1.00 to -0.10SELL
4.9 Final Verdict (After Macro Gate)

Apply the macro gating rules from Step 1.4:

FieldValue
Macro Verdict(from Step 1)
Composite Score(from 4.8)
Raw Stock Verdict(from 4.8)
Final Verdict(after gating)
Override Applied?Yes / No
Override Reason(if applicable)

Step 5 — Related-Stock Analysis (Up to 3 Stocks)

For each related stock identified in Step 3, perform the same full analysis as Steps 2 and 4:

  • 5.x.1 Technical Analysis (same 6 indicators as Step 2, compute Technical Score)
  • 5.x.2 Business Overview
  • 5.x.3 Core Fundamentals (same table format as 4.2)
  • 5.x.4 Valuation Snapshot (same table format as 4.3)
  • 5.x.5 Recent Catalysts
  • 5.x.6 Risks (same table format as 4.5)
  • 5.x.7 Bottom-Line Fundamental View (Bull / Bear / Base cases, same as 4.6)
  • 5.x.8 Fundamental Score (same as 4.7)
  • 5.x.9 Raw Composite Verdict (Technical 35% + Fundamental 25% + Macro 40%, same as 4.8)
  • 5.x.10 Final Verdict (after macro gate, same as 4.9)

Replace x with the related stock number (1, 2, 3). Every related stock must have a composite score and macro-gated final verdict before it can appear in Step 6.


Step 6 — Final Comparative Assessment

This is the synthesis step. Combine all three pillars — Technical (35%), Fundamentals (25%), and Macro (40%) — to produce the definitive assessment for the stock the user asked about and its related peers.

6.1 Comparative Summary Table
TickerSectorTech ScoreFund ScoreMacro ScoreComposite ScoreRev GrowthFwd P/ERSIMACD SignalRaw VerdictMacro GateFinal Verdict
Target————————————
Related 1————————————
Related 2————————————
Related 3————————————
6.2 Cross-Comparison Insight

Compare all 4 stocks across all three pillars (4-5 sentences). Highlight:

  • Which stock has the strongest technicals (momentum, trend)
  • Which stock has the best fundamentals (growth, valuation)
  • How macro conditions affect each differently
  • Which stock offers the best risk/reward and why
6.3 Final Assessment for Target Stock

Synthesise the macro environment (Step 1), technical analysis (Step 2), the target stock's fundamentals (Step 4), and how it stacks up against peers (Steps 5-6.2) into a concluding paragraph. State:

FieldValue
Target Ticker—
Macro Verdict(from Step 1)
Technical Signal(from Step 2)
Composite Score(from Step 4.8)
Final Stock VerdictBUY / HOLD / SELL
Conviction LevelHigh / Medium / Low
Key Upside Driver—
Key Downside Risk—
Key Technical LevelSupport: $__ / Resistance: $__
Peer RankingBest / Middle / Weakest among the 4

Output Formatting Rules

  1. Always show the Macro Dashboard (Step 1) first, then Technical Analysis (Step 2), before any fundamental analysis.
  2. Use Markdown tables for structured data.
  3. Use up/down/flat arrows for trend indication.
  4. Bold the Final Verdict and clearly mark any macro override.
  5. Show all three pillar scores and the composite score calculation with arithmetic so the user can verify.
  6. Keep total output at most 3000 words (prioritise signal over padding).
  7. If data for a metric is unavailable, write "N/A" — never fabricate numbers.
  8. Show the macro score, technical score, fundamental score, and composite score calculations with arithmetic so user can verify.
  9. For technical indicators, always state the data date (e.g., "as of 2026-02-12 close") so the user knows how current the data is.

Disclaimer

This analysis is for informational and educational purposes only. It does not constitute investment advice, a recommendation, or a solicitation to buy or sell any security. Always do your own due diligence and consult a qualified financial advisor before making investment decisions.

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OpenClaw

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Static analysis

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