Market Analyst

---

name: global-market-analyst description: "Global asset investment analysis and advisory — VN & US stocks, forex, gold, oil, crypto, ETF, DCA. Combines real-time technical analysis (RSI, MACD, EMA, Bollinger Bands) from TradingView with fundamental analysis (P/E, ROE, Sharpe, CAGR, sector valuation). Use when: (1) user asks about VN or global stock prices, (2) user wants to know which assets to buy, (3) user asks about portfolio management, (4) user wants to calculate monthly DCA accumulation, (5) user asks how much to invest per month, (6) user wants to estimate returns over time, (7) user wants to compare global asset classes, (8) user asks about gold, crypto, S&P 500, ETF, (9) user asks about swing trading, scalping, day trading VN, (10) user asks about forex EUR/USD, USD/JPY, (11) user asks about commodities oil WTI, silver, (12) user asks about US stocks AAPL, NVDA, TSLA, MSFT, (13) user wants to analyze/rebalance an existing portfolio, (14) user wants to scan markets for a new optimal portfolio, (15) user asks about portfolio optimization, Markowitz, asset allocation."

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Global Market Analyst

Global asset analysis — VN stocks, US equities, Forex, Commodities, Crypto, ETF — real-time technical + fundamental + valuation + return estimation.

⚠️ Most Important Principle

Historical CAGR ≠ expectation from current price. Always ask: *"If buying TODAY at this price, what is the P/E? Is it still cheap?"*

Example: MCH CAGR 73%/year from the 30k bottom → but at current price 161k, P/E ~37x is expensive. Sharpe 2.19 is historical from low price zone — does not apply to buyers today.

---

Step 0: Understand Requirements & Check Macro

Before analyzing any asset, always check:

🇻🇳 Macro Việt Nam

Current macro context (updated 23/03/2026):

🔴 VN-Index: ~1,604 — down 14% in the month, foreign net selling -27,591 tỷ YTD

🟢 FTSE upgrade VN → effective 21/09/2026 → biggest catalyst

SBV rate: Holding, following FED

GDP target 2026: 6.5-7%

🇺🇸 Macro Mỹ

FED rate: 3.5-3.75% (held 18/3/2026, hawkish — only 1 cut expected in 2026)

PCE inflation: 2.7% (raised from 2.4%)

Unemployment: ~4.0% (stable)

S&P 500: In correction ~5-8% from ATH, tech leading

US 10Y yield: ~4.2-4.4%

🌍 Global Macro

🔴 Iran War ongoing — dầu WTI $95-99, threatening Strait of Hormuz

Vàng XAUUSD: ~$4,362 (corrected -15% from ATH $5,608)

DXY (USD Index): ~103-105

BNB: Risk-off pressure, ecosystem still strong (TVL $6.7B, #3 globally)

ECB rate: ~3.0%, gradually cutting

BOJ rate: ~0.5%, just raised from 0.25%

Portfolio impact:

🟢 Accumulate: MBB (P/E 6.5x), Vàng, S&P 500 ETF (VOO)

🟢 DCA: FPT (P/E 13-14x, unusually cheap but below EMA200)

⏳ Hold: BNB (wait for FED cut), TCB, AAPL, MSFT

🔴 Avoid: VCB (P/E expensive), BĐS (rates rising), crypto mới, meme coins

🟢 New buys: GAS/PVS (benefiting from high oil), Energy ETF (XLE)

See details: references/macro-update-2026-03.md, references/crypto-analysis.md, references/gold-analysis.md.

---

Determine:

Asset class: VN stocks? US stocks? Forex? Gold? Crypto? ETF?

Objective: Find new opportunities? Analyze a specific ticker? Estimate returns? Scan the market?

Holding period: Short-term (< 3 months), medium-term (3-12 months), long-term (> 1 year)

Capital: For portfolio allocation and risk estimation

Risk appetite: Conservative / Balanced / Aggressive

---

Step 1: Real-time Data (TradingView Scanner)

TradingView scanner works WITHOUT auth:

🇻🇳 VN Stocks

# Scan all HOSE for oversold stocks
python3 ~/.openclaw/workspace/skills/market-analyst/scripts/scan_market.py --rsi 40 --exchange HOSE
Deep technical analysis for a single VN stock
python3 ~/.openclaw/workspace/skills/market-analyst/scripts/analyze_stock.py FPT HOSE

🇺🇸 US Stocks

# Scan NASDAQ oversold (large-cap > $2B)
python3 ~/.openclaw/workspace/skills/market-analyst/scripts/scan_market.py --rsi 40 --exchange NASDAQ
Scan NYSE
python3 ~/.openclaw/workspace/skills/market-analyst/scripts/scan_market.py --rsi 35 --exchange NYSE

🌍 Global Markets (Crypto, Forex, Commodities)

# Scan US equities (large-cap > $10B)
python3 ~/.openclaw/workspace/skills/market-analyst/scripts/scan_global.py --market us --rsi 40
Scan crypto
python3 ~/.openclaw/workspace/skills/market-analyst/scripts/scan_global.py --market crypto --rsi 35
Scan forex major pairs
python3 ~/.openclaw/workspace/skills/market-analyst/scripts/scan_global.py --market forex
Scan commodities (gold, oil, silver)
python3 ~/.openclaw/workspace/skills/market-analyst/scripts/scan_global.py --market commodities
Scan all markets
python3 ~/.openclaw/workspace/skills/market-analyst/scripts/scan_global.py --market all --rsi 40

Manually fetch multiple tickers (any market):

import urllib.request, json
VN stocks
payload = {
    "symbols": {"tickers": ["HOSE:MBB","HOSE:TCB","HOSE:FPT"]},
    "columns": ["name","close","change","volume","RSI","EMA20","EMA50","EMA200",
                "MACD.macd","MACD.signal","BB.upper","BB.lower",
                "price_52_week_high","price_52_week_low","Stoch.K","Stoch.D"]
}
req = urllib.request.Request(
    "https://scanner.tradingview.com/vietnam/scan",
    data=json.dumps(payload).encode(),
    headers={"Content-Type": "application/json", "User-Agent": "Mozilla/5.0"},
    method="POST"
)
US stocks → "https://scanner.tradingview.com/america/scan"
Crypto → "https://scanner.tradingview.com/crypto/scan"
Forex → "https://scanner.tradingview.com/forex/scan"
Commodities → "https://scanner.tradingview.com/cfd/scan"

---

Step 2: Technical Analysis (Applies to ALL asset classes)

Read each indicator in priority order:

1. EMA200 — Check FIRST

close > EMA200 ✅ → Long-term uptrend intact → consider buying

close < EMA200 ❌ → Long-term downtrend → be cautious, buy only with a clear catalyst

⚠️ Do NOT buy oversold assets below EMA200 (unless there is a clear catalyst)

2. RSI(14)

| RSI | Signal | Action | |---|---|---| | < 30 | 🟢🟢 Extreme oversold | Consider strong buy if above EMA200 | | 30–40 | 🟢 Oversold | DCA if above EMA200 | | 40–60 | 🟡 Neutral | Hold / wait | | 60–70 | 🔴 Near overbought | Do not add positions | | > 70 | 🔴🔴 Overbought | Consider taking profit |

3. MACD

macd > signal → 🟢 Bullish momentum

macd < signal → 🔴 Bearish momentum

MACD just crossed above signal in negative zone → strong buy signal

4. Bollinger Bands

close ≤ BB.lower → Near lower band → potential bounce

BB squeezing → strong move coming, wait for breakout

5. Stochastic K/D

K < 20: Oversold | K > 80: Overbought

K cắt lên D ở vùng < 20 → mua signal

6. 52W Position

pos52 = (close - low52w) / (high52w - low52w) × 100

< 20%: Near 52W low — good value zone

> 80%: Near 52W high — high momentum but risky

🎯 Buy Zone Score (composite)

score = 0
if rsi < 30: score += 3
elif rsi < 40: score += 2
if close > ema200: score += 2
if pe_discount > 20%: score += 3  # P/E < Fair P/E - 20%
elif pe_discount > 0: score += 2
if pos52 < 20: score += 2
elif pos52 < 40: score += 1
if close <= bb_lower * 1.02: score += 2
if macd > macd_signal: score += 1
Max: 15 điểm
≥ 10: Mua mạnh | 7-9: DCA | 4-6: Theo dõi | < 4: Bỏ qua

---

Step 3: Valuation Analysis — MANDATORY (Stocks & ETF)

Do NOT recommend BUY without checking valuation.

P/E Analysis

Upside = (Fair P/E - Current P/E) / Fair P/E × 100%

| Upside | Assessment | |---|---| | > 25% | 🟢 Very cheap — buy | | 10–25% | 🟡 Slightly cheap — accumulate | | 0–10% | 🟡 Fair — OK | | < 0% | 🔴 Expensive — wait for correction | | < -15% | 🔴🔴 Very expensive — avoid |

Fair P/E by VN sector:

Ngân hàng: 10–12x | Công nghệ: 20–25x | Thép: 8–12x

Tiêu dùng: 15–22x | BĐS: 12–18x | Dầu khí: 10–14x

Fair P/E by US sector: (Xem chi tiết references/us-equities.md)

Tech (mega): 25–30x | Tech (growth): 30–45x | Healthcare: 16–20x

Financials (banks): 10–13x | Energy: 10–14x | Consumer Disc.: 22–28x

US dùng Forward P/E nhiều hơn Trailing P/E

PEG Ratio = P/E / EPS Growth Rate → PEG < 1.0 = rẻ tương đối

See details in references/sector-fundamentals.md (VN) và references/us-equities.md (US)

Other Fundamental Metrics

ROE > 15%: tốt | > 20%: xuất sắc

D/E < 1.0: ít nợ (ngân hàng ngoại lệ)

FCF dương: công ty sinh tiền thực

EPS CAGR: driver chính của giá dài hạn

See full framework in references/financial-analysis-knowledge.md

---

Step 4: Sector & Catalyst Analysis

🇻🇳 VN Sectors

Reference references/sector-fundamentals.md và references/sector-update-2026.md.

Catalyst VN 2026-2028:

Nâng hạng thị trường FTSE/MSCI → vốn ngoại đổ vào

Lãi suất giảm → P/E hợp lý cao hơn, BĐS phục hồi

Đầu tư công tăng → thép, vật liệu xây dựng

GDP 6-7%/năm → ngân hàng, tiêu dùng

🇺🇸 US Sectors

Reference references/us-equities.md.

Catalyst US 2026-2028:

AI revolution → NVDA, MSFT, GOOG, META, AMZN

FED rate cuts → growth stocks rally, REITs phục hồi

Infrastructure spending → industrials, materials

GLP-1 drugs → LLY, NVO, healthcare sector

Always answer: 1. Where is the sector in the cycle? (growth / peak / recession / bottom) 2. What are the catalysts for the next 1-3 years? 3. What are the main risks?

---

Step 5: US Equities Analysis

When user asks about US stocks (AAPL, NVDA, TSLA, MSFT, GOOG, META, AMZN, v.v.):

Workflow:

1. Scan data: scan_global.py --market us hoặc fetch trực tiếp 2. Technical: Áp dụng Step 2 (EMA200, RSI, MACD, BB) 3. Valuation: Forward P/E vs sector average, PEG ratio 4. Earnings: Check earnings calendar — KHÔNG mua ngay trước earnings 5. Macro: FED rate path, US 10Y yield, DXY ảnh hưởng

Key Metrics for US Stocks:

Forward P/E (quan trọng hơn trailing)

PEG Ratio (< 1.0 = rẻ, 1.0-2.0 = hợp lý, > 2.0 = đắt)

FCF Yield (FCF / Market Cap — > 5% = tốt)

Revenue Growth (YoY — quan trọng cho tech)

Gross Margin (>60% cho software, >40% cho hardware)

US vs VN Differences:

US trade pre/after-market → gap risk cao hơn

Earnings season 4 lần/năm → stock có thể ±20% trong 1 ngày

Options market rất active → đọc implied volatility

Buyback programs → hỗ trợ giá (AAPL buyback $100B+/năm)

US dùng fractional shares → mua $10 NVDA được

See details: references/us-equities.md

---

Step 6: Forex Analysis

When user asks about forex (EUR/USD, USD/JPY, GBP/USD, v.v.):

Workflow:

1. Scan: scan_global.py --market forex 2. Macro check: Interest rate differential giữa 2 đồng tiền 3. Technical: EMA, RSI, Fibonacci, pivot points 4. Session timing: Asian/European/US session 5. Risk: Swap rates, leverage management

Key Pairs & Factors:

| Cặp | Key Factors | |-----|--------------| | EUR/USD | FED vs ECB rates, trade balance EU-US | | USD/JPY | FED vs BOJ, risk sentiment, carry trade | | GBP/USD | BOE rate, Brexit effects, UK economy | | AUD/USD | RBA rate, commodities (iron ore), China demand | | USD/VND | SBV policy, trade balance VN, FDI flows |

Session Times (VN time):

London-NY overlap (19:30-23:00 VN) = best time to trade

Asian session (06:00-14:00) = range-bound, phù hợp range trading

London open (14:00-17:00) = breakout Asian range

Risk Management Forex:

2% rule: Max risk 2% account per trade

Leverage max 1:30 cho beginner

ATR-based stop loss: SL = 1.5-2x ATR(14)

See details: references/forex-guide.md

---

Step 7: Commodities Analysis (Gold, Oil, Silver)

When user asks about gold (XAUUSD), oil (WTI/Brent), silver (XAGUSD):

Workflow:

1. Scan: scan_global.py --market commodities 2. Macro: Real rates (US 10Y - CPI), DXY, geopolitics 3. Technical: EMA200, RSI, Fibonacci retracement 4. Specific factors: (xem bên dưới)

🥇 Gold (XAUUSD):

Bullish khi: Real rates giảm, DXY yếu, risk-off, NHTW mua vàng

Bearish khi: Real rates tăng, DXY mạnh, risk-on

Key levels: Round numbers ($4000, $4500, $5000)

Seasonal: Thường mạnh Q1 và Q4

See details: references/gold-analysis.md

🛢️ Oil (WTI / Brent):

Bullish khi: OPEC+ cắt sản lượng, geopolitics (Iran/ME), demand tăng

Bearish khi: Recession fears, OPEC+ tăng sản lượng, US shale tăng

Key data: EIA Weekly Inventory, Baker Hughes Rig Count

Correlation: USD/CAD (inverse), energy stocks (positive)

🥈 Silver (XAGUSD):

Dual nature: Industrial metal + precious metal

Gold/Silver Ratio: > 80 = bạc rẻ tương đối, < 60 = bạc đắt

Volatile hơn vàng: Beta ~1.5-2x so với gold

---

Step 8: Global ETF Analysis

When user asks about ETF (VOO, QQQ, VNM, v.v.):

Workflow:

1. Identify need: Core portfolio? Sector bet? Country exposure? 2. Compare: Expense ratio, tracking error, AUM, liquidity 3. Technical: Áp dụng EMA200, RSI cho ETF chart 4. DCA plan: Phân bổ theo risk profile

Quick ETF Recommendations:

| Purpose | ETF | Expense | Notes | |----------|-----|---------|---------| | Core US | VOO / IVV | 0.03% | S&P 500, portfolio foundation | | Tech/Growth | QQQ / QQQM | 0.15-0.20% | NASDAQ 100, AI exposure | | VN Exposure | VNM | 0.66% | VanEck Vietnam ETF | | Emerging Markets | VWO / IEMG | 0.08-0.09% | Broad EM | | Bonds | BND / AGG | 0.03% | US total bond | | Gold | GLD / IAU | 0.25-0.40% | Physical gold ETF | | All-World | VT | 0.07% | Toàn cầu, lazy portfolio |

DCA Portfolios:

Conservative: VOO 40% + BND 30% + VWO 15% + GLD 15% Balanced: VOO 45% + QQQ 20% + VWO 15% + BND 10% + GLD 10% Aggressive: QQQ 35% + VOO 25% + VWO/VNM 20% + ARKK/SOXX 10% + GLD 10%

See details: references/global-etf.md

---

Step 9: Portfolio Management

When user asks about portfolio management, rebalancing, asset allocation, or building a new portfolio:

Option 1: Analyze Existing Portfolio → Rebalance

# Analyze & recommend rebalancing for current portfolio
python3 ~/.openclaw/workspace/skills/market-analyst/scripts/portfolio_optimizer.py \
  --portfolio "MBB:30,FPT:25,GOLD:20,BNB:15,CASH:10" \
  --capital 500000000 \
  --risk balanced

Input:

--portfolio : Current portfolio dạng "MÃ:tỷ_trọng%,..."

--capital : Total capital (VND)

--risk : conservative | balanced | aggressive

Output:

Portfolio analysis: return, volatility, Sharpe, max drawdown

Assessment: concentration, diversification, risk fit

Correlation matrix between assets

Rebalance recommendation via Markowitz Mean-Variance

Before/after rebalance comparison

Bear/Base/Bull return scenarios

Implementation plan

Supported asset classes: VN stocks, US stocks, ETF, crypto (BTC/ETH/BNB/SOL...), gold (GOLD/XAUUSD), forex, bonds (BOND), cash (CASH)

Option 2: Scan Market → Recommend New Portfolio

# Scan & recommend new optimal portfolio
python3 ~/.openclaw/workspace/skills/market-analyst/scripts/portfolio_screener.py \
  --capital 500000000 \
  --risk balanced \
  --markets vn,us,crypto,gold \
  --horizon medium

Input:

--capital : Total capital (VND)

--risk : conservative | balanced | aggressive

--markets : vn,us,crypto,gold (chọn thị trường)

--horizon : short (< 3 tháng) | medium (3-12 tháng) | long (> 1 năm)

Output:

Real-time TradingView scan to find top assets by score

Allocation by risk profile:

- Conservative: 50% bonds/cash, 30% blue chip, 15% gold, 5% crypto - Balanced: 30% blue chip, 25% growth, 20% gold, 15% ETF, 10% crypto - Aggressive: 35% growth, 25% crypto, 20% midcap, 15% forex/commodities, 5% commodities

Specific ticker list + allocation + rationale

Expected return range (Bear/Base/Bull)

Suggested DCA schedule by horizon

Risk Profiles:

| Profile | Max single | Max equity | Max crypto | Min safe assets | Target Vol | |---------|-----------|-----------|-----------|----------------|-----------| | Conservative | 25% | 40% | 5% | 35% | 12% | | Balanced | 30% | 60% | 15% | 20% | 18% | | Aggressive | 35% | 80% | 25% | 5% | 25% |

---

Step 10: Return Estimation

python3 ~/.openclaw/workspace/skills/market-analyst/scripts/estimate_returns.py [TICKER] [--capital X] [--years N]

Script calculates from historical data:

CAGR 3Y/5Y (compound annual growth rate)

Volatility hàng năm (annualized volatility)

Max Drawdown (maximum drawdown from peak)

Sharpe Ratio (return/risk)

3 scenarios Bear/Base/Bull × 6M/1Y/3Y/5Y

⚠️ Always remind user:

Historical CAGR is from past ENTRY price, not current price

If current P/E is already high → realistic estimate is lower than historical CAGR

Compare with: bank deposit 5.5%/year (VN), US Treasury 4.5%/year, VN-Index ~11%/year, S&P 500 ~12%/year

See full methodology in references/return-estimation.md

---

Step 11: Portfolio Allocation (Global)

When user asks how to allocate capital:

Sizing by Sharpe

| Sharpe | Max allocation | |---|---| | > 1.5 | 35% | | 1.0–1.5 | 25% | | 0.5–1.0 | 15% | | < 0.5 | 10% |

Sizing by Max Drawdown

| Max DD | Max allocation | |---|---| | < 30% | 30% | | 30–50% | 20% | | 50–70% | 10% | | > 70% | 5% |

Global Portfolio Framework:

| Asset Class | Conservative | Balanced | Aggressive | |-------------|-------------|----------|------------| | VN Stocks | 20% | 25% | 30% | | US Stocks/ETF | 30% | 35% | 35% | | Bonds/Cash | 25% | 10% | 5% | | Gold | 15% | 15% | 10% | | Crypto | 0% | 5% | 10% | | Forex/Commodities | 0% | 5% | 10% | | EM ETF | 10% | 5% | 0% |

DCA Strategy

Don't go all-in at once

Split into 3-5 purchases over 4-8 weeks

Buy more when RSI drops to oversold zone

ETF DCA: Same day each month, don't time the market

---

Step 12: Output Formats

📊 VN Stock Output

## 📊 [TICKER] — [Tên công ty]
Price: X,XXX VND | Today: +/-X.XX% | Volume: XM
Technical
RSI: XX.X [tín hiệu]
EMA200: X,XXX [▲ Trên / ▼ Dưới] — [Uptrend / Downtrend]
MACD: [🟢 Bullish / 🔴 Bearish]
Bollinger: [vị trí]
52W: High X,XXX | Low X,XXX | Vị trí: XX%
Score: X/15
Valuation
P/E hiện tại: XX.Xx (Fair: XX-XXx)
Upside định giá: +/-XX%
ROE: XX% | D/E: XX
Conclusion
[🟢 MUA / 🟡 THEO DÕI / ⏳ CHỜ / 🔴 TRÁNH]
Reason: [1-2 câu]
Ideal buy zone: [X,XXX – X,XXX VND]

🇺🇸 US Stock Output

## 🇺🇸 [TICKER] — [Company Name]
Price: $XXX.XX | Today: +/-X.XX% | Volume: XM | Market Cap: $X.XB
Technical
RSI: XX.X [signal]
EMA200: $XXX [▲ Above / ▼ Below]
MACD: [🟢 Bullish / 🔴 Bearish]
52W: High $XXX | Low $XXX | Position: XX%
Valuation
Forward P/E: XX.Xx (Sector avg: XX-XXx)
PEG Ratio: X.XX
FCF Yield: X.X%
Next Earnings: [Date]
Conclusion
[🟢 MUA / 🟡 THEO DÕI / ⏳ CHỜ / 🔴 TRÁNH]
Reason: [1-2 câu]
Entry zone: $XXX – $XXX

💱 Forex Output

## 💱 [PAIR] — Forex Analysis
Price: X.XXXX | Today: +/-X.XX% | Session: [Asian/European/US]
Technical
RSI: XX.X | EMA200: X.XXXX [▲/▼]
MACD: [🟢/🔴] | Fibonacci: [key level]
Support: X.XXXX | Resistance: X.XXXX
Macro
Rate differential: [FED X.XX% vs ECB/BOJ X.XX%]
DXY: XXX.X [trend]
Key data upcoming: [event + date]
Trade Setup
Direction: [🟢 LONG / 🔴 SHORT / 🟡 NEUTRAL]
Entry: X.XXXX | SL: X.XXXX (-XX pips) | TP: X.XXXX (+XX pips)
R:R: 1:X | Lot size (2% risk, $5K account): X.XX lots

🏆 Commodity Output

## 🏆 [COMMODITY] — Analysis
Price: $X,XXX | Today: +/-X.XX%
Technical
RSI: XX.X | EMA200: $X,XXX [▲/▼]
Key S/R: $X,XXX / $X,XXX
Drivers
[Factor 1: impact]
[Factor 2: impact]
Conclusion
[🟢 MUA / 🟡 TRUNG LẬP / 🔴 TRÁNH]
Buy zone: $X,XXX – $X,XXX

📈 ETF Output

## 📈 [ETF] — [Name]
Price: $XXX.XX | YTD: +/-X.XX% | Expense: X.XX% | Yield: X.X%
Technical
RSI: XX.X | EMA200: $XXX [▲/▼]
Drawdown từ ATH: -X.X%
So sánh
vs S&P 500: [outperform/underperform] XX%
vs category: [ranking]
DCA Estimate ($XXX/tháng)
5 năm: ~$XX,XXX (gốc $XX,XXX, lãi ~$XX,XXX)
10 năm: ~$XX,XXX
Conclusion
[🟢 DCA / 🟡 CHỜ / 🔴 TRÁNH]

---

Step 13: Swing Trading (VN)

When user asks about swing trading, scalping, day trading, or short-term trading (2-10 days):

Full reference: references/swing-trading-vn.md

Quick Workflow

1. Screening: Chạy swing screener tìm mã phù hợp

   python3 ~/.openclaw/workspace/skills/market-analyst/scripts/scan_market.py --rsi 45 --exchange HOSE
   

2. Technical check (swing-specific): - RSI divergence (bullish/bearish) trên D1 - MACD crossover position (vùng âm = mua mạnh) - Bollinger squeeze → chờ breakout - ADX > 25 → trend đủ mạnh để swing

3. Entry criteria: - R:R tối thiểu 1:2 (KHÔNG trade nếu < 1:2) - Volume xác nhận (> 1.5x avg 20 phiên) - Stop loss xác định TRƯỚC khi vào lệnh

4. Position sizing: - 2% rule: Max risk 2% vốn per trade - Max 3-5 vị thế swing cùng lúc

Output Format (Swing)

## 🏄 [TICKER] — Swing Analysis
Setup: [RSI Divergence / BB Squeeze / MACD Cross / ...]
Entry: X,XXX VND | Stop Loss: X,XXX (-X%) | Target: X,XXX (+X%)
R:R: 1:X | Position Size: X% vốn (XX CP)
Timeframe: X-X ngày
⚡ Confidence: [Cao/Trung bình/Thấp]

---

References

VN Market

references/sector-fundamentals.md — Standard P/E, catalyst, risk per VN sector

references/sector-update-2026.md — Sector update Q1/2026

references/swing-trading-vn.md — Swing trading, scalping VN

US & Global

references/us-equities.md — Top 20 S&P 500, US sector breakdown, P/E benchmarks, ADR/OTC

references/forex-guide.md — Major/cross pairs, factors, sessions, swap rates

references/global-etf.md — VOO/QQQ/SPY comparison, VNM ETF, EM ETFs, Bond ETFs, DCA strategy

Macro & Asset-specific

references/macro-update-2026-03.md — Macro context 03/2026: FED, VN-Index, Iran War

references/crypto-analysis.md — Crypto/BNB analysis framework

references/gold-analysis.md — Gold XAUUSD analysis framework

Knowledge Base

references/financial-analysis-knowledge.md — RSI, MACD, P/E, Sharpe, DCA, Global portfolio

references/advanced-ta.md — Fibonacci, Elliott Wave, Volume Profile

references/return-estimation.md — Return estimation methodology

Scripts

scripts/scan_market.py — Scan VN + US exchanges (HOSE, HNX, NASDAQ, NYSE)

scripts/scan_global.py — Scan global markets (US, crypto, forex, commodities)

scripts/analyze_stock.py — Deep technical analysis for a single ticker

scripts/estimate_returns.py — Estimate returns from historical data

scripts/dca_calculator.py — Calculate monthly DCA accumulation

scripts/portfolio_optimizer.py — Analyze existing portfolio → rebalance recommendation (Markowitz)

scripts/portfolio_screener.py — Scan market → recommend new optimal portfolio

DCA Calculator:

python3 ~/.openclaw/workspace/skills/market-analyst/scripts/dca_calculator.py [monthly_vnd] [years]
Example: 2 million VND/month, 10 years
python3 ~/.openclaw/workspace/skills/market-analyst/scripts/dca_calculator.py 2000000 10

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*⚠️ Analysis is for reference only, not investment advice. DYOR.*