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aipa-analyze

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更新日2026年6月11日 10:58

AI-powered stock and crypto analysis using the aipa CLI. Use this skill whenever the user asks to analyze a ticker, compare stocks, get technical analysis, or answer any financial market question about Vietnamese stocks (VIC, VCB, FPT...), cryptocurrencies (BTC, ETH...), or global assets. Also use for price action analysis, moving average analysis, support/resistance questions, sector comparison, Wyckoff analysis, or trading insights. Also handles fundamental analysis when the user explicitly asks for fundamentals, PE, ROE, NPL, CAR, valuation, or "phân tích cơ bản" — use `aipa fundamentals` commands to enrich technical analysis with financial ratios, company info, and fundamental screening/ranking. For raw price data without AI, use the aipa-data skill instead.

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quanhua92

quanhua92/aipriceaction

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aipa-analyze

Developed by AIPriceAction. More data and documentation at https://aipriceaction.com

Lời Truyền Cảm Hứng Cho Nhà Giao Dịch

Tư duy và Phương pháp luận

"Chỉ có xu hướng mới mang lại lợi nhuận, đừng cố tranh cãi với thị trường."
"Giao dịch không phải là dự đoán tương lai, mà là quản lý rủi ro và tuân thủ kỷ luật."
"Volume là dấu chân của dòng tiền thông minh. Giá có thể lừa dối, nhưng khối lượng thì không."
"Kiên nhẫn chờ đợi thiết lập phù hợp là chiếc chìa khóa vàng dẫn đến thành công."
"Thị trường luôn đúng, chỉ có túi tiền của chúng ta là tự chịu trách nhiệm."
"Lợi nhuận bền vững không đến từ việc đoán đúng đỉnh đáy, mà đến từ sự kiên nhẫn và nhất quán."
"Giảm nhiều chưa chắc hết giảm — cần xác nhận thêm."

Kỷ luật và Quản trị rủi ro

"Tuân thủ kỷ luật quản trị rủi ro thì không hề 'toang' bạn nhé!"
"Giao dịch không có kế hoạch chính là đang lập kế hoạch cho sự thất bại."
"Cắt lỗ luôn đúng, gồng lỗ luôn sai."
"Sống sót trước khi nghĩ đến lợi nhuận."
"Giữ được vốn quan trọng hơn kiếm được tiền."
"Đừng bao giờ yêu một cổ phiếu, hãy chỉ yêu lợi nhuận và sự an toàn mà nó mang lại."
"Spring cần 2-3 phiên xác nhận + pullback No Supply. Một phiên bùng nổ chưa nói lên điều gì."
"Không bắt dao rơi dù đã rơi 30%. Chờ đến khi có Volume Profile + Wyckoff xác nhận."

Tâm lý và Thực chiến

"Thà chảy nước miếng còn hơn chảy nước mắt."
"Đừng cố bắt dao rơi khi chưa thấy đáy vững chắc."
"Trong một xu hướng tăng ai cũng là thiên tài đầu tư, chỉ khi thủy triều rút mới biết ai không mặc quần."
"Mua đuổi (FOMO) khi giá đã tăng nóng giống như đi tàu lượn siêu tốc mà quên thắt dây an toàn."
"Đừng đoán đỉnh, đừng dò đáy."
"Bò kiếm tiền, gấu kiếm tiền, lợn bị làm thịt."
"Xu hướng là bạn, hãy đi cùng bạn."
"Mua tin đồn, bán sự thật."
"Sai lầm lớn nhất là thấy cổ phiếu giảm nhiều rồi nghĩ nó sẽ lên lại — thị trường không nợ bạn một lý do."
"Phân biệt Spring và Upthrust: hỏi 'cổ này đã giảm đủ để clear supply chưa?' Nếu chưa giảm nhiều = còn supply = rủi ro. Nếu đã giảm nhiều = không còn ai bán = cơ hội."

Kiên nhẫn và Quản lý vị thế (No Premature TP & Add-Size)

"Hãy để lợi nhuận chạy."
"Chốt non là mất ngon."
"Đúng thì thêm, sai thì cắt."
"Lợi nhuận lớn đến từ việc ngồi yên."
"Đúng giữ, sai cắt."

What is aipa

aipa is an AI-powered financial analysis CLI for Vietnamese stocks, cryptocurrencies, and global assets. It combines OHLCV price data with LLM analysis to produce actionable trading insights using frameworks like Wyckoff, VPA (Volume Price Analysis), and MA momentum scoring.

Installation

Use uvx — no install needed. On the first call of each session, use uvx aipa-cli@latest to refresh the cache. For all subsequent calls, use plain uvx aipa-cli (fast, cached).

# All calls — fast cached execution (uvx automatically checks for updates)
uvx aipa-cli analyze VCB

uvx aipa-cli analyze TCB

# Fallback: pip (if uv is not available)
pip install aipa-cli
aipa analyze VCB

# Fallback: system pip (if pip fails due to PEP 668)
python3 -m pip install aipa-cli --break-system-packages
aipa analyze VCB

# If neither uv nor pip are installed, install uv first:
curl -LsSf https://astral.sh/uv/install.sh | sh
# If the install script fails, see: https://docs.astral.sh/uv/getting-started/installation/

All command examples in this skill use aipa for brevity. Replace aipa with uvx aipa-cli if not installed globally.

Keeping the CLI Updated

The aipa CLI is actively developed with frequent improvements. Always prefer uvx aipa-cli over aipa. When using uvx:

Use plain uvx for fast cached execution: uvx aipa-cli analyze VCB
Fallback on failure — if a command fails with a schema or missing argument error, retry with @latest: uvx aipa-cli analyze VCB (add @latest if the command fails)

If aipa is installed globally via pip, update before each session:

pip install --upgrade aipa-cli

The agent should prefer uvx aipa-cli for all commands. Only fall back to aipa if uvx is unavailable.

Environment Variables

Variable	Required	Default	Purpose
`OPENAI_API_KEY`	Yes (for AI)	—	API key for the LLM provider
`OPENAI_BASE_URL`	No	OpenRouter	Base URL for OpenAI-compatible API
`OPENAI_MODEL`	No	`openrouter/owl-alpha`	Model to use for analysis

Run aipa setup for interactive first-run configuration. Settings are saved to ~/.aipriceaction/settings.json.

aipa-config — Settings Management

aipa config get                    # show all settings (JSON, api_key redacted)
aipa config get use_sma            # show single value: true or false
aipa config get language           # show language: en or vn
aipa config set use_sma false      # switch all commands to EMA
aipa config set use_sma true       # switch to SMA
aipa config set language vn        # change language
aipa config path                   # show path to settings file

Setting	Default	Values	Description
`use_sma`	`true`	`true` / `false`	`true` = SMA, `false` = EMA. Controls MA type for all commands. CLI flags (`--sma`, `--ema`) override per-invocation.
`language`	`vn`	`en` / `vn`	Output language for analyze and deep-research

MA Type Priority: CLI flag (--sma/--ema) > settings.json (use_sma) > default (sma).

IMPORTANT: Before any analysis session, run aipa config get use_sma to check the current MA type setting. Do NOT assume SMA — the user may have switched to EMA. All MA references in your analysis must match the active setting (SMA or EMA).

Available Data Sources

Vietnamese stocks (source: vn): VIC, VCB, FPT, HPG, VNM, MBB, TCB, CTG, VPB, HDB, etc.
Cryptocurrencies (source: crypto): BTCUSDT, ETHUSDT, BNBUSDT, SOLUSDT, etc.
Global/Yahoo (source: global/yahoo): AAPL, TSLA, NVDA, SPY, etc.
SJC Gold (source: sjc): SJC gold prices

Predefined Watchlists

The CLI has built-in watchlists for common ticker groups. Use aipa watchlist get <NAME> to get tickers for a group, or reference them directly when the user asks about a group like "VN30 stocks" or "Vingroup ecosystem".

Name	Tickers	Count
VN30	ACB, BID, BSR, CTG, FPT, GAS, GVR, HDB, HPG, LPB, MBB, MSN, MWG, PLX, SAB, SHB, SSB, SSI, STB, TCB, TPB, VCB, VHM, VIB, VIC, VJC, VNM, VPB, VRE, VPL	30
VINGROUP	VIC, VHM, VRE, VPL	4
TM	GEX, GEE, VIX, EIB, VGC, IDC	6
MASAN	MSN, MCH, MSR, MML, VCF, VSN, NET	7
INDEX	VNINDEX, VN30, VN30F1M, VN100, VNMIDCAP, VNSMALLCAP, VNALLSHARE, VNXALLSHARE, VNFIN, HNX30, VNREAL, VNENE, VNMITECH, VNUTI, VNCONS, VNCOND, VNHEAL, VNIND, VNFINLEAD, VNFINSELECT, VNDIAMOND, VNDIVIDEND	22
CROSS	VNINDEX, ^GSPC, GC=F, SJC-GOLD, KC=F, BZ=F, BTCUSDT	7

Note: VN30 was updated on 2026-05-13 — DGC removed (placed under controlled status), BSR added as replacement.

# List all watchlists (predefined + custom)
aipa watchlist ls

# Get tickers for a specific watchlist
aipa watchlist get VN30
aipa watchlist get VINGROUP

# Create a custom watchlist
aipa watchlist set MYWATCHLIST FPT VCB HPG VIC

# Delete a custom watchlist
aipa watchlist rm MYWATCHLIST

# Using watchlist tickers in analyze
aipa analyze $(aipa watchlist get VN30)

Supported Intervals

Interval	Description
`1m`	1 minute
`5m`	5 minutes
`15m`	15 minutes
`30m`	30 minutes
`1h`	1 hour
`4h`	4 hours
`1D`	1 day (default)
`1W`	1 week

Note: All intervals work natively — 1m, 5m, 15m, 30m, 1h, 4h, 1D, 1W, 2W. Non-native intervals are aggregated client-side from base data.

`aipa analyze` — AI Analysis

Run AI-powered technical analysis on one or more tickers.

aipa analyze TICKER [TICKERS...] [options]

Flags

Flag	Default	Description
`TICKER [TICKERS...]`	—	One or more ticker symbols (auto-uppercased)
`--interval`	`1D`	Time interval: `1m`, `5m`, `15m`, `30m`, `1h`, `4h`, `1D`, `1W`, `2W`
`--limit N`	`20`	Number of bars/candles to fetch
`--source`	auto-detect	Filter by source: `vn`, `crypto`, `global`
`--start-date`	—	Start date (e.g. `2025-04-01`)
`--end-date`	—	End date (e.g. `2025-04-30`)
`--reference-ticker`	auto-detect	Reference ticker: `VNINDEX` (VN stocks), `BTCUSDT` (crypto), `^GSPC` (global)
`--lang`	saved setting	Language: `en` or `vn`
`--ma-type`	settings	Moving average type: `ema` or `sma` (from `use_sma` setting)
`--question TEXT`	template 0	Custom analysis question (overrides templates)
`--questions`	—	List available question templates and exit
`--context-only`	—	Dump raw context without calling LLM (no API key needed)
`--no-system-prompt`	—	Exclude system prompt from context output
`--verbose`	—	Show thinking tokens during analysis

Usage Examples

# Basic single-ticker analysis
aipa analyze VCB

# Multi-ticker comparison
aipa analyze VCB TCB MBB CTG VPB

# Specific interval and bar count
aipa analyze BTCUSDT --interval 4h --limit 50

# Custom date range
aipa analyze FPT --start-date 2025-01-01 --end-date 2025-05-01

# Custom analysis question
aipa analyze VIC --question "What is the Wyckoff phase and what are the key price targets?"

# Vietnamese language output
aipa analyze VNM --lang vn

# Dump raw data context without AI analysis (no API key needed)
aipa analyze VCB --context-only

# Show thinking tokens during analysis
aipa analyze HPG --verbose

# Override auto-detected reference ticker
aipa analyze VCB --reference-ticker VN30

# Specific source
aipa analyze BTCUSDT --source crypto

Analysis Workflow

Follow this multi-step workflow for every analysis request. Do NOT just run aipa analyze and stop.

Step 1: Daily Timeframe Analysis

Run aipa analyze on the daily chart first. Use --limit 50 minimum for sufficient context. For Wyckoff phase identification or TP setting, use --limit 60 or higher.

aipa analyze VCB --limit 50

Step 2: Volume Profile for Support/Resistance

Run aipa volume-profile to get structural price levels (POC, Value Area, high-volume nodes). Use a multi-day range covering at least 20 trading days.

aipa volume-profile VCB --start-date 2026-04-14 --end-date 2026-05-27

Note: The dates above are examples. Always use a range covering at least 30 trading days (roughly 6 calendar weeks) ending on today. Calculate --start-date dynamically.

Cross-reference the volume profile levels with the daily analysis — key S/R levels with high volume clusters are more significant.

Step 3: Intraday Deep Dive (If Needed)

Based on the daily analysis, decide whether an intraday look adds value:

Trigger	Action
Daily shows breakout/reversal forming NOW	Run `--interval 1h --limit 50` to see entry timing
Daily shows tight consolidation near key level	Run `--interval 4h --limit 50` to check for patterns
User asks about entry/exit timing or scalping	Run `--interval 15m --limit 50` for micro structure
Daily chart is clear and no timing ambiguity	Skip intraday — daily analysis is sufficient

# 1h for entry/exit timing
aipa analyze VCB --interval 1h --limit 50

# 15m for scalping or micro structure
aipa analyze VCB --interval 15m --limit 50

Step 4: Present Combined Analysis

Synthesize all steps into a single response:

Daily chart: Trend, Wyckoff phase, key levels
Volume profile: Structural S/R with volume confirmation
Intraday (if run): Entry/exit timing, short-term patterns

Do NOT present each step as a separate section. Combine insights into a coherent analysis.

When to Use This Skill vs Others

User Request	Use
"Analyze VCB"	`aipa analyze VCB`
"Compare FPT and VNM"	`aipa analyze FPT VNM`
"Wyckoff analysis for HPG"	`aipa analyze HPG --question "Wyckoff analysis with phases, events, and price targets"`
"Research the banking sector deeply"	Use the `aipa-research` skill instead
"Get price data for VCB"	Use the `aipa-data` skill instead
"Show me OHLCV candles for BTC"	Use the `aipa-data` skill instead
"What are the top stocks today?"	`aipa live-data` (no AI, quick market overview)
"Top gainers / losers"	`aipa performers` (no AI)
"Best stocks by trading value"	`aipa performers --sort-by value` (no AI)
"Volume profile / POC / value area"	`aipa volume-profile TICKER` (no AI)
"What banking stocks are available?"	`aipa ticker-list --source vn --group NGAN_HANG`

Key rule: AI insights → aipa-analyze, raw numbers → aipa-data, comprehensive report → aipa-research, quick market overview → aipa live-data.

Question Templates

The CLI includes pre-built analysis question templates organized by framework. Use --questions to list all available templates.

Single-Ticker Templates (English)

Index	Template	Description
0	Trading Opportunity	Wyckoff phases, Smart Money behavior, deployment roadmap, risk management
1	News & Events Research	Detect extreme moves (>6.7% or Volume >150%), web search for causes
2	Price Action & Volume	VPA analysis, smart money footprints, supply/demand zones
3	MA Momentum & Trend	MA alignment, crossover detection, volume confirmation
4	Wyckoff Method	Wyckoff phases, Spring/Upthrust/SOS events, price targets
5	Bob Volman Price Action	Micro pullback entries, breakout/fading setups, trade planning

Multi-Ticker Templates (English)

Index	Template	Description
0	Trading Opportunity	Analyze all tickers, rank by opportunity quality
1	Stock Performance Comparison	Compare price action strength, MA momentum, volume
2	Market Trend Analysis	Sector rotation via MA scores, accumulation/distribution
3	Risk & Support/Resistance	Map S/R levels with volume context
4	News & Events Research	Detect extreme moves across multiple tickers
5	Bob Volman Price Action	Applied to multiple tickers with ranking
6	Wyckoff Method	Multi-ticker Wyckoff analysis with ranking

Vietnamese translations exist for all templates (use --lang vn).

Using Templates

# List all templates
aipa analyze --questions

# Use a specific template by index (TUI only: /analyze VCB 2)
# In CLI, use --question for custom questions
aipa analyze HPG --question "Phân tích theo phương pháp Wyckoff: xác định pha, sự kiện quan trọng (Spring/Upthrust/SOS), mục tiêu giá và xác nhận khối lượng"

Interpreting Output

The CLI outputs to two streams:

stdout: The final analysis result (the AI's response). This is what you should present to the user.
stderr: Status messages with structured markers for tracking progress.

Status Markers (stderr)

Marker	Meaning
`[build]`	Context building status and timing
`[analyze]`	Analysis question being sent to the LLM
`[tool]`	Tool call being executed (e.g., fetching OHLCV data)
`[tool-result]`	Tool execution result returned
`[thinking]`	Agent reasoning tokens (only with `--verbose`)
`[error]`	Error message
`[done]`	Analysis complete, includes total time
`[result]`	Final analysis output follows

When presenting results to the user, always use the stdout output (after the [result] marker in stderr).

Attribution

When presenting any analysis to the user, always include an attribution line at the end of your response:

English: "Data by AIPriceAction | AI-powered analysis — may contain errors. Verify before trading."
Vietnamese: "Dữ liệu bởi AIPriceAction | Phân tích bởi AI — có thể chứa sai sót. Vui lòng kiểm chứng trước khi giao dịch."

Do NOT say "analysis provided by AIPriceAction" or "phân tích được cung cấp bởi AIPriceAction". AIPriceAction provides the data; the analysis is AI-generated and may be inaccurate.

No API Key — Agent Fallback

When OPENAI_API_KEY is not set, aipa analyze prints the raw context to stdout and exits with [info] messages instead of an error. The context contains all the OHLCV data, MA scores, and market metadata needed for analysis.

If you are an AI agent and see this fallback output, you should perform the analysis yourself using the printed context:

Read the OHLCV data, MA scores, and market context from the stdout output
Apply the same analytical framework the CLI would have used (Wyckoff, VPA, MA momentum, etc.)
Produce the analysis result as if the LLM agent had generated it
Present the result to the user in the same format the CLI normally would

The context output is identical to aipa analyze --context-only, so treat it as your input data and do the reasoning yourself.

Fundamentals: Ask Before Running

Do NOT automatically run aipa fundamentals commands unless the user explicitly asks for fundamental data or fundamental analysis (phân tích cơ bản). Technical analysis (VPA, Wyckoff, MA) is the default. Only fetch fundamentals when:

The user explicitly says "fundamentals", "fundamental analysis", "cơ bản", "phân tích cơ bản", "PE", "ROE", "NPL", "CAR", etc.
The user asks about valuation, profitability, or financial health
The user asks to compare stocks by financial metrics (not price action)
The user says "report" or "báo cáo" — these may imply financial reports. If unclear, ask to confirm.

Version gate: aipa fundamentals requires aipa-cli >= 0.1.48. Verify before use:
aipa --version
If < 0.1.48, upgrade: uvx aipa-cli@latest or pip install --upgrade aipa-cli.

When fundamentals are relevant, use these commands to enrich your technical analysis:

# Quick company snapshot
aipa fundamentals info VCB

# Latest financial ratios
aipa fundamentals ratios VCB --latest

# Bank-specific metrics (NPL, CAR, CASA, CIR)
aipa fundamentals ratios VCB --category bank --latest

# Compare ROE across peers
aipa fundamentals rank VCB BID CTG TCB MBB --sort-by roe

# Rank by historical year
aipa fundamentals rank --year 2023 --sort-by roe

# Screen for value stocks
aipa fundamentals screen --pe-max 15 --roe-min 0.15 --sort-by roe

# Screen specific quarter
aipa fundamentals screen --period "2024 Q3" --sort-by roe

# Screen banking sector for asset quality
aipa fundamentals screen --industry "ngân hàng" --npl-max 0.015 --sort-by npl --direction asc

How Fundamentals Enhance Technical Analysis

When the user asks for fundamentals, combine technical and fundamental views:

Valuation context: Is the stock expensive (high PE/PB) or cheap? A breakout at PE=8 is different from PE=30.
Bank health (VN banks): NPL, CAR, CASA, CIR provide critical risk context. High NPL + bearish technicals = strong sell signal.
Profitability confirmation: High ROE/ROA supports bullish thesis. Declining margins = fundamental weakness beneath technical strength.
Screening for candidates: Use rank and screen to find fundamentally strong stocks, then apply technical analysis to time entries.

Fundamental Comparison Workflow

When comparing fundamentals across multiple tickers (e.g., "compare VCB TCB MBB fundamentals", "which bank is healthiest", "rank banks by NPL"), follow this workflow. Do NOT just call aipa fundamentals ratios TICKER --latest for each ticker individually — that produces N separate outputs that are hard to compare. Use rank and screen first.

Step 1: Side-by-side ranking (mandatory)

Use aipa fundamentals rank with the specific tickers to get a comparative table in a single call. Run at least 2 perspectives relevant to the sector:

# Profitability comparison
aipa fundamentals rank VCB BID CTG TCB MBB --sort-by roe

# Valuation comparison
aipa fundamentals rank VCB BID CTG TCB MBB --sort-by pe --direction asc

# Bank health: asset quality + capital adequacy
aipa fundamentals rank VCB BID CTG TCB MBB --sort-by npl --direction asc
aipa fundamentals rank VCB BID CTG TCB MBB --sort-by car --direction desc

# General stocks: dividend + valuation
aipa fundamentals rank FPT VNM HPG MWG --sort-by dividend_yield --direction desc
aipa fundamentals rank FPT VNM HPG MWG --sort-by pe --direction asc

Step 2: Screen for quality (optional but recommended)

Use aipa fundamentals screen with the tickers to filter by quality criteria. This eliminates weak candidates immediately:

# Only banks with acceptable asset quality AND profitability
aipa fundamentals screen VCB BID CTG TCB MBB --npl-max 0.015 --roe-min 0.15 --sort-by roe

# Only stocks with reasonable valuation
aipa fundamentals screen VCB FPT HPG VNM --pe-max 20 --roe-min 0.10 --sort-by pe --direction asc

# Entire sector with quality filter
aipa fundamentals screen --industry "ngân hàng" --npl-max 0.02 --car-min 0.09 --sort-by roe

Step 3: Individual deep dive (only for shortlisted tickers)

Only after Steps 1-2, use ratios --latest for individual tickers that ranked at the top or need further investigation. Use info for company context:

aipa fundamentals ratios VCB --latest                # full ratios for top candidate
aipa fundamentals ratios VCB --category bank --latest # bank-specific deep dive
aipa fundamentals info VCB                            # company profile context

Why this matters: rank and screen return all tickers in a single comparative table — far more efficient than calling ratios N times for N tickers and trying to manually compare across outputs. The ranking shows relative position immediately, and the screen eliminates unsuitable candidates before wasting tokens on deep dives.

Analysis Framework

When performing analysis (either via the CLI or as agent fallback), follow these priorities:

Volume Price Action (VPA) Analysis: Always analyze the relationship between price and volume to identify smart money behavior, accumulation/distribution patterns, and confirm trend strength
Price-Volume Confirmation: Look for volume confirmation on price movements — increasing volume on breakouts (bullish) vs decreasing volume on rallies (bearish divergence)
Wyckoff Phases: Identify market phases (Accumulation, Markup, Distribution, Markdown) based on price-volume patterns. Key events: Spring, Upthrust, SOS (Sign of Strength), SOW (Sign of Weakness), Buying Climax, Test for Supply
Support/Resistance with Volume: Key levels are more significant when accompanied by high volume — look for volume spikes at support/resistance
Volume Trends & Spikes: Compare current volume to recent average volume (e.g. 20-day average), NOT just the previous day's volume. A large day-over-day percentage jump (like volume_changed +92%) is a FALSE SIGNAL if the previous day had abnormally low liquidity. Always verify absolute volume against the average before claiming an "explosive", "distribution", or "climax" event.
Extreme Price Changes: Detect moves exceeding ±6.7%/day (VN market limit) and search recent news/events to find causes
Risk Management: Every analysis must include both positive (opportunities, strengths, bullish signals) and negative (risks, weaknesses, bearish signals) insights. Quantify downside risk with specific price levels, identify what would invalidate the current thesis, and never present a one-sided view
Fundamental Context (when requested): When the user asks for fundamentals, enrich the technical analysis with PE, PB, ROE, NPL, CAR, and other financial metrics. Fundamentals do NOT replace technical analysis — they add context.
Nhóm Chủ Lực (Core Market Sectors - VN Market Only): When analyzing the Vietnamese market, always contextualize tickers within their respective "Nhóm Chủ Lực" (Core Sectors) to assess systemic flow. The key groups are:
- Nhóm Ngân hàng (Banking): VCB, BID, CTG, TCB, MBB, ACB, VPB, HDB, SHB, TPB, VIB, SSB, MSB, STB, LPB, EIB.
- Nhóm Bất động sản (Real Estate): VIC, VHM, VRE, VPL, DIG, CEO, L14, TCH, HHS, VGC, IDC.
- Nhóm Chứng khoán (Securities): SSI, VND, HCM, VCI, SHS, VIX, VDS.
- Nhóm Trụ cột / Sản xuất & Bán lẻ (Blue-chips / Core Economy): HPG, HSG, NKG, FPT, MWG, GAS, GVR, PLX, BSR, MSN, VNM, SAB.
- Nhóm Hệ sinh thái (Corporate Ecosystems):
  - Họ Vingroup: VIC, VHM, VRE, VPL.
  - Họ Bầu Thụy: STB, LPB, THD, HAG.
  - Họ Gelex ("Tuấn Mượt"): GEX, GEE, VIX, VGC, EIB, IDC.
  - Họ Hoàng Huy: TCH, HHS.
  - Họ A7: DIG, CEO, L14.
  - Họ TTC (Thành Thành Công): SBT, GEG, VDS.
  - Họ Masan: MSN, MCH, MSR, MML, VCF, VSN, NET.
  - Họ Viettel: VGI, CTR, VTP. (Note: This classification applies only to the Vietnamese market. Crypto and Global markets do not use this specific grouping yet).

Data Usage Policy (CRITICAL)

NEVER generate, guess, estimate, or hallucinate any numbers — prices, volumes, MA values, MA scores, percentages, dates, or any financial data. Only use data from tool results or user-provided context
NEVER mention a specific number unless it appears in your tool results or user-provided context
Use tools proactively — call aipa analyze, aipa get-ohlcv-data, and/or aipa performers BEFORE answering price-related questions
When researching news or events, ALWAYS include the source name (e.g., "Source: CafeF", "Source: VNExpress")
Trading Hours: VN market trades 09:00–15:00 ICT (UTC+7), Mon–Fri. Crypto 24/7. If the latest bar shows unusually low volume, the session may still be in progress

T+2 Settlement Rule (VN stocks only)

This rule applies ONLY to Vietnamese stocks (--source vn). Crypto and global stocks are not subject to T+2 settlement.

IMPORTANT: For all stock purchases in the Vietnamese stock market, shares are only settled and available for trading (selling) on the afternoon of T+2 (specifically at 13:00 / 1:00 PM on day T+2, not T+3).

NEVER propose or attempt to execute any Stop Loss or Take Profit actions on T+1 (the first business day after the purchase), as the shares have not yet settled.

Always check the purchase date of any stock positions when recommending sell actions.

Portfolio File

The agent looks for a portfolio file in the working directory to track positions. Accepted file names (checked in order):

DANH_MUC.md
PORTFOLIO.md
ACCOUNT.md

If none exists, the agent should ask the user whether they want to create one.

Watchlist File

The agent also looks for a watchlist file to track tickers being monitored (no positions yet). Accepted file names (checked in order):

THEO_DOI.md
WATCHLIST.md

This tracks potential entry candidates. Include: ticker, sector, watch reason, entry zone, key level, and added date.

Risk Management Rules (MANDATORY)

Always check settlement status before recommending sell actions (VN stocks only) — cross-reference buy date with today. For VN stocks, shares are NOT sellable until afternoon of T+2. Does NOT apply to crypto or global stocks
Every analysis must quantify risk — include specific Stop Loss and Take Profit levels with reasoning, state what invalidates the thesis, calculate risk-reward ratio
Never present one-sided analysis — every ticker must have both bullish signals and bearish risks
Position sizing awareness — flag concentration risk when >30% of portfolio is in one sector
Daily portfolio review — mark settled positions, check SL/TP hits, flag thesis changes

Strict Data Reading & Validation (CRITICAL)

Symptom: Misreading or hallucinating the relationship between Price and Moving Averages (e.g., stating a stock is "below EMA20" when it is actually above), or misclassifying a technical event (e.g., calling a failed breakout a "healthy pullback").

Rules:

Row-by-Row Verification: When reading OHLCV data output from the CLI, you MUST strictly read the exact row for the exact date requested. Do not accidentally read data from an adjacent row or a different ticker's block in multi-ticker outputs.
Precision Filter with Grep: To minimize reading errors and context volume, always use grep -E to isolate your target dates across one or multiple tickers. Use "time" as your header anchor.
- Surgical view (Header + Today + Breakout Day): uvx aipa-cli get-ohlcv-data TCB MSB STB | grep -E "time|2026-05-27|2026-05-07"
- Comparing recent days: uvx aipa-cli get-ohlcv-data VND | grep -E "time|2026-05-27|2026-05-26"
Explicit Value Comparison: Before concluding whether a trend is broken or intact, explicitly state the values being compared: [Close Price] vs [MA/EMA Value].
- Example: "Close is 17.750, EMA20 is 16.881. 17.750 > 16.881 → Price is ABOVE EMA20 (Trend intact)."
Breakout Validation: A breakout (significant positive price change + high volume) creates a critical support at the structural breakout level — the top of the pre-breakout base/range, the prior swing high, or the pattern's neckline. The breakout candle's Low is NOT a reliable invalidation point: it can extend well below the structural level due to gap opens, intraday noise, or volatile entry bars.
- The correct invalidation is a fall back below the structural breakout level, not below the candle's Low.
- If price pulls back but stays above the structural level, the breakout is intact — this is a healthy pullback.
- If price falls below the structural breakout level, it is a Failed Breakout / Structural Violation.
- Action: Always identify the pre-breakout structure first. Only then assess whether a pullback is healthy (above structure) or a failure (below structure).

No Premature TP (Chốt Non) — CRITICAL

Symptom: Position is up 1-3% and agent recommends partial or full close because "TP1 was hit" — ignoring the Wyckoff thesis (Phase E Markup / SOS / LPS unconfirmed).

Rules:

Never recommend TP (partial or full) when P&L < 1× ATR(14) from entry. If ATR is unavailable: do not TP when profit < 3% for Markup Phase D/E, < 5% for Accumulation breakout.
Always check Wyckoff phase before mentioning "take profit":
- Phase E Markup / SOS breakout: DO NOT TP — the trend is just starting. This is a trend trade, not a scalp.
- Re-accumulation / Spring test: DO NOT TP — position just formed.
- Only consider TP when distribution signs appear (volume climax, weekly bearish engulfing, Upthrust after extended markup).
Check momentum before suggesting TP:
- Is price at a swing high with volume > 20-day average?
- Are there distribution candles (shooting star, bearish engulfing, volume spike)?
- Is there weekly resistance above?
- If all 3 are NO → TP is forbidden. Let it run.
Premature TP checklist (run before every sell/reduce recommendation):

Question Pass/Fail
P&L > 3%?
Is Wyckoff phase Distribution / Upthrust?
Are there distribution signs (volume climax, bearish weekly)?
Does the weekly chart show strong resistance above?

If all 4 are NO → TP is BLOCKED. Document the reason in the report.
Controlled exception: Premature TP is only allowed when the user explicitly requests it or needs urgent liquidity. The agent must NEVER autonomously propose premature TP in any form (including "protect profits", "reduce risk", etc.).

Add-Size Rules — Propose Add Instead of Premature TP

Symptom: Position is up 2-3% and agent recommends partial TP. Instead, the agent should be looking for add-size opportunities — a position proving itself is a candidate for more, not for reducing.

Shift in mindset: When a position is working (up 2-5% with Volume Price Action confirmation), the correct response is:

Don't: "Chốt lời 50% tại đây"
Do: "Here's where you can add on pullback / breakout confirmation"

Rules:

When a position is in profit and thesis is intact, always check for add-size setups before considering any TP. The add-size plan must be defined at entry (not invented after the position moves).
Two valid add scenarios (must pick one at entry):
- Pullback add (Zone B): Price pulls back to a lower value zone with declining volume (No Supply). Example: GAS bought at 84,800 → add at 82,500-83,500 on low volume test.
- Breakout add: Price breaks a clear structural level (range ceiling, swing high) with volume > 1.5× 20-day average. Example: ACB > 25,500 with vol > 40M.
Never add at market price without a structural reason. "Momentum is strong" is not a reason — waiting for a pullback to a predefined zone is.

Add-size check before every suggestion:

Question	Pass/Fail
Is the original Wyckoff thesis still intact?
Is price at a predefined add zone (not no-man's land)?
Does volume confirm? (pullback = low/declining, breakout = high/surge)
Is the position NOT testing its SL?
Would this add lot have R:R ≥ 1:1 as an independent trade?

If all pass → propose the add. If any fail → hold only, no add.

Max 2 adds per position. After reaching max size, just hold and let the trend run. No further pyramiding.

Precheck Mandatory — Safety Gate Before Every Entry Decision

Symptom: Analyzing entry on low timeframe (15m/1h) without checking higher timeframe structure — missing historical supply zones (Buying Climax, UTAD) that invalidate the thesis.

Rule: Before proposing ANY entry, trade decision, or price target, you MUST run:

# 1. Daily 60 — detect BC/UTAD/historical structure
aipa get-ohlcv-data TICKER --limit 60 --no-ma

# 2. Weekly 52 — confirm overall trend direction
aipa get-ohlcv-data TICKER --interval 1W --limit 52 --no-ma

# 3. Volume Profile 30+ days — identify key price levels
aipa volume-profile TICKER --start-date [30+ days ago] --end-date [today]

This is a safety gate, not analysis. The purpose is to detect structural red flags before spending tokens on deeper analysis:

Detection	Meaning	Action
Buying Climax (BC) at current price zone	Historical volume peak = large supply	DO NOT enter here. Lower entry zone or cancel.
Upthrust After Distribution (UTAD)	False breakout, bull trap	Cancel entry. Wait for return to range.
Weekly trend bearish (price below MA20/50 weekly)	Overall trend is down	DO NOT go long. Wait for weekly reversal.
SOS confirmed + weekly up	Genuine breakout	✅ Proceed with entry analysis.
Spring at POC + weekly support	Successful bottom test	✅ Entry is valid.

Preflight checklist before every entry:

□ Daily 60 — no BC/UTAD at current price zone
□ Weekly 52 — trend aligned with entry direction
□ VP 30d — TP anchored to swing high/VAH (not round number)
□ SL below POC/VAH/MA20
□ R:R ≥ 1:2 after precheck

Root cause of the FPT error on June 4, 2026: Skipped daily 60 + weekly 52, went straight to 15m intraday. Saw pullback from 77,700 to 76,300 with declining volume → incorrectly assumed LPS (Last Point of Support) in a healthy markup. Missed the May 20 Buying Climax (high 77,432, close 76,643, volume 26M — 2.2× average) which was the exact same supply zone price was retesting at 76,300-76,500 on June 4. Precheck (daily 60 + weekly 52 + VP 30d) would have caught the BC immediately and blocked any buy recommendation at that level.

Calculate Metrics with Python — No Hallucinated Numbers

Symptom: AI writes "vol 5x TB" or "volume gấp 20x trung bình" based on day-over-day % change (+557% vs yesterday) instead of computing the actual volume-vs-average multiplier. The day-over-day % change and the vs-20d-average multiplier are completely different metrics — confusing them produces wrong claims.

Rule: Before writing ANY numerical claim in analysis (volume multiplier, R:R ratio, average cost, MA distance), you MUST compute it using aipa-cli | python3 pipe. NEVER estimate or guess.

Volume vs 20-day Average (the most common mistake)

uvx aipa-cli get-ohlcv-data TICKER --limit 50 --no-ma --no-system-prompt 2>/dev/null | python3 -c "
import sys
from collections import defaultdict
data = defaultdict(list)
for line in sys.stdin:
    parts = line.split()
    if len(parts) >= 7 and parts[0] != 'time':
        data[parts[-1]].append((parts[0], int(float(parts[5]))))
for sym, rows in data.items():
    if len(rows) >= 21:
        avg20 = sum(r[1] for r in rows[-21:-1]) / 20
        last_vol = rows[-1][1]
        print(f'{sym} {rows[-1][0]}: vol={last_vol/1e6:.1f}M | avg20d={avg20/1e6:.1f}M | ratio={last_vol/avg20:.1f}x')
"

Anti-pattern: NEVER do this:

volume_changed is +557% → write "vol 5x TB" ❌ (557% ≠ 5x, and it's vs yesterday, not vs 20d avg)
volume_changed is +216% → write "vol 2x TB" ❌ (same mistake)

Correct pattern:

volume_changed +557% means today's volume is 6.57× yesterday's volume (1 + 5.57)
To get vs-20d-average multiplier, you MUST compute: today_vol / average(last_20_days_vol)

Batch Volume Verification (multiple tickers + specific dates)

uvx aipa-cli get-ohlcv-data VCB TCB MBB --limit 50 --no-ma --no-system-prompt 2>/dev/null | python3 -c "
import sys
from collections import defaultdict
data = defaultdict(list)
for line in sys.stdin:
    parts = line.split()
    if len(parts) >= 7 and parts[0] != 'time':
        data[parts[-1]].append((parts[0], int(float(parts[5]))))
checks = [
    ('VCB', '2026-06-10', 20),
    ('TCB', '2026-06-10', 20),
    ('MBB', '2026-06-10', 20),
]
for sym, date, ndays in checks:
    for i, (d, v) in enumerate(data.get(sym, [])):
        if d == date:
            start = max(0, i - ndays)
            avg = sum(r[1] for r in data[sym][start:i]) / len(data[sym][start:i])
            print(f'{sym} {date}: vol={v/1e6:.1f}M avg{ndays}d={avg/1e6:.1f}M ratio={v/avg:.1f}x')
            break
"

R:R Calculation

python3 -c "
entry, sl, tp = 8400, 7700, 9500
risk = entry - sl
reward = tp - entry
rr = reward / risk
print(f'Risk={risk} Reward={reward} R:R={rr:.1f}:1 {\"OK\" if rr >= 2 else \"BLOCKED - R:R < 1:2\"}')"

Average Cost (multi-lot)

python3 -c "
lots = [(8400, 1000), (8600, 500)]
total_qty = sum(q for _, q in lots)
avg = sum(p * q for p, q in lots) / total_qty
print(f'Avg cost: {avg:.0f} | Qty: {total_qty}')"

MA Distance %

uvx aipa-cli get-ohlcv-data TICKER --limit 50 --no-ma --no-system-prompt 2>/dev/null | python3 -c "
import sys
rows = []
for line in sys.stdin:
    parts = line.split()
    if len(parts) >= 7 and parts[0] != 'time':
        rows.append({'date': parts[0], 'close': float(parts[4]), 'ticker': parts[-1]})
if rows:
    closes = [r['close'] for r in rows]
    ma20 = sum(closes[-21:-1]) / 20
    pct = (rows[-1]['close'] - ma20) / ma20 * 100
    print(f\"{rows[-1]['ticker']} close={rows[-1]['close']:.0f} MA20={ma20:.0f} dist={pct:+.1f}%\")"

Mandatory rule: If you cannot verify a number with a pipe command, do NOT write it in any file. Use the actual computed value, rounded to 1 decimal place for multipliers and 0.1% for percentages.

Tips for AI Agents

Auto-uppercase: Ticker symbols are automatically converted to uppercase. You can pass vcb, btcusdt, etc. — they will be treated as VCB, BTCUSDT.
Use --context-only for data inspection: If you only need to see what data is available without spending API credits, use aipa analyze VCB --context-only.
Default is good enough: The default template (index 0, Trading Opportunity) is comprehensive. Only specify --question when the user has a specific analytical framework in mind.
Multi-ticker for comparisons: When the user asks to "compare" or "which is better", pass multiple tickers: aipa analyze VCB TCB MBB.
Use --lang vn for Vietnamese users: If the user writes in Vietnamese or asks for Vietnamese output, add --lang vn.
Use --verbose for transparency: When the user wants to see the reasoning process, add --verbose.
aipa-data for raw numbers: If the user asks for "price data", "candle data", or "OHLCV" without wanting AI analysis, use the aipa-data skill instead.
Interval matters: For intraday analysis, use 1h or 4h. For swing trading, use 1D. For scalping, use 15m or 5m.
Combine with --limit: More bars = more context. Use --limit 50 or --limit 100 for deeper analysis. Default is 20.
Reference ticker: Auto-detected based on the ticker's source — VNINDEX for VN stocks, BTCUSDT for crypto, ^GSPC for global stocks. Use --reference-ticker to override.

Use aipa performers to find tickers to analyze — run multiple perspectives: When the user asks "what should I analyze?" or "what's moving today?", run aipa performers with multiple --sort-by values to get a multi-perspective view. Always run at least these two: default (price change) and value (trading value). Add MA scores when the user cares about trends. Cross-referencing the lists reveals more significant tickers. Then analyze the interesting ones with aipa analyze.

aipa performers                                          # price change — top gainers / worst losers
aipa performers --sort-by value                          # trading value — where the money flows
aipa performers --sort-by ma50_score                     # MA50 trend — strongest/weakest medium-term trends
aipa performers --sort-by ma20_score                     # MA20 trend — strongest/weakest short-term trends
aipa performers --sort-by total_money_changed            # money flow change — unusual capital activity
aipa performers --source crypto --sort-by value          # crypto by trading value
aipa performers --group NGAN_HANG --sort-by value        # banking sector by trading value
aipa performers --group CHUNG_KHOAN --sort-by close_changed  # securities sector top gainers

Use aipa volume-profile for support/resistance context: When analyzing a ticker and the user asks about key price levels, support, resistance, or "where is the volume?", run aipa volume-profile TICKER to get POC (Point of Control), value area, and volume-weighted statistics. Prefer multi-day ranges over single-day profiles — they produce more reliable support/resistance levels and smooth out intraday noise. Use --start-date and --end-date covering at least 20 trading days as the default approach. Only use a single --date when the user explicitly asks for one specific day. Examples:
- aipa volume-profile VCB --start-date 2026-04-14 --end-date 2026-05-09 — 1-month range (preferred default)
- aipa volume-profile VCB --start-date 2026-04-28 --end-date 2026-05-09 --bins 30 — 2-week range
- aipa volume-profile VCB --date 2026-05-08 — single date (only when specifically requested)
- aipa volume-profile BTCUSDT --source crypto --bins 30 --start-date 2026-05-05 --end-date 2026-05-09 — crypto multi-day
- aipa volume-profile FPT --start-date 2026-05-01 --end-date 2026-05-09 --bins 30 --value-area-pct 80 — full options

name

aipa-analyze

description

aipa-analyze

Developed by AIPriceAction. More data and documentation at https://aipriceaction.com

Lời Truyền Cảm Hứng Cho Nhà Giao Dịch

Tư duy và Phương pháp luận

"Chỉ có xu hướng mới mang lại lợi nhuận, đừng cố tranh cãi với thị trường."
"Giao dịch không phải là dự đoán tương lai, mà là quản lý rủi ro và tuân thủ kỷ luật."
"Volume là dấu chân của dòng tiền thông minh. Giá có thể lừa dối, nhưng khối lượng thì không."
"Kiên nhẫn chờ đợi thiết lập phù hợp là chiếc chìa khóa vàng dẫn đến thành công."
"Thị trường luôn đúng, chỉ có túi tiền của chúng ta là tự chịu trách nhiệm."
"Lợi nhuận bền vững không đến từ việc đoán đúng đỉnh đáy, mà đến từ sự kiên nhẫn và nhất quán."
"Giảm nhiều chưa chắc hết giảm — cần xác nhận thêm."

Kỷ luật và Quản trị rủi ro

"Tuân thủ kỷ luật quản trị rủi ro thì không hề 'toang' bạn nhé!"
"Giao dịch không có kế hoạch chính là đang lập kế hoạch cho sự thất bại."
"Cắt lỗ luôn đúng, gồng lỗ luôn sai."
"Sống sót trước khi nghĩ đến lợi nhuận."
"Giữ được vốn quan trọng hơn kiếm được tiền."
"Đừng bao giờ yêu một cổ phiếu, hãy chỉ yêu lợi nhuận và sự an toàn mà nó mang lại."
"Spring cần 2-3 phiên xác nhận + pullback No Supply. Một phiên bùng nổ chưa nói lên điều gì."
"Không bắt dao rơi dù đã rơi 30%. Chờ đến khi có Volume Profile + Wyckoff xác nhận."

Tâm lý và Thực chiến

"Thà chảy nước miếng còn hơn chảy nước mắt."
"Đừng cố bắt dao rơi khi chưa thấy đáy vững chắc."
"Trong một xu hướng tăng ai cũng là thiên tài đầu tư, chỉ khi thủy triều rút mới biết ai không mặc quần."
"Mua đuổi (FOMO) khi giá đã tăng nóng giống như đi tàu lượn siêu tốc mà quên thắt dây an toàn."
"Đừng đoán đỉnh, đừng dò đáy."
"Bò kiếm tiền, gấu kiếm tiền, lợn bị làm thịt."
"Xu hướng là bạn, hãy đi cùng bạn."
"Mua tin đồn, bán sự thật."
"Sai lầm lớn nhất là thấy cổ phiếu giảm nhiều rồi nghĩ nó sẽ lên lại — thị trường không nợ bạn một lý do."
"Phân biệt Spring và Upthrust: hỏi 'cổ này đã giảm đủ để clear supply chưa?' Nếu chưa giảm nhiều = còn supply = rủi ro. Nếu đã giảm nhiều = không còn ai bán = cơ hội."

Kiên nhẫn và Quản lý vị thế (No Premature TP & Add-Size)

"Hãy để lợi nhuận chạy."
"Chốt non là mất ngon."
"Đúng thì thêm, sai thì cắt."
"Lợi nhuận lớn đến từ việc ngồi yên."
"Đúng giữ, sai cắt."

What is aipa

Installation

Use uvx — no install needed. On the first call of each session, use uvx aipa-cli@latest to refresh the cache. For all subsequent calls, use plain uvx aipa-cli (fast, cached).

# All calls — fast cached execution (uvx automatically checks for updates)
uvx aipa-cli analyze VCB

uvx aipa-cli analyze TCB

# Fallback: pip (if uv is not available)
pip install aipa-cli
aipa analyze VCB

# Fallback: system pip (if pip fails due to PEP 668)
python3 -m pip install aipa-cli --break-system-packages
aipa analyze VCB

# If neither uv nor pip are installed, install uv first:
curl -LsSf https://astral.sh/uv/install.sh | sh
# If the install script fails, see: https://docs.astral.sh/uv/getting-started/installation/

All command examples in this skill use aipa for brevity. Replace aipa with uvx aipa-cli if not installed globally.

Keeping the CLI Updated

The aipa CLI is actively developed with frequent improvements. Always prefer uvx aipa-cli over aipa. When using uvx:

Use plain uvx for fast cached execution: uvx aipa-cli analyze VCB
Fallback on failure — if a command fails with a schema or missing argument error, retry with @latest: uvx aipa-cli analyze VCB (add @latest if the command fails)

If aipa is installed globally via pip, update before each session:

pip install --upgrade aipa-cli

The agent should prefer uvx aipa-cli for all commands. Only fall back to aipa if uvx is unavailable.

Environment Variables

Variable	Required	Default	Purpose
`OPENAI_API_KEY`	Yes (for AI)	—	API key for the LLM provider
`OPENAI_BASE_URL`	No	OpenRouter	Base URL for OpenAI-compatible API
`OPENAI_MODEL`	No	`openrouter/owl-alpha`	Model to use for analysis

Run aipa setup for interactive first-run configuration. Settings are saved to ~/.aipriceaction/settings.json.

aipa-config — Settings Management

aipa config get                    # show all settings (JSON, api_key redacted)
aipa config get use_sma            # show single value: true or false
aipa config get language           # show language: en or vn
aipa config set use_sma false      # switch all commands to EMA
aipa config set use_sma true       # switch to SMA
aipa config set language vn        # change language
aipa config path                   # show path to settings file

Setting	Default	Values	Description
`use_sma`	`true`	`true` / `false`	`true` = SMA, `false` = EMA. Controls MA type for all commands. CLI flags (`--sma`, `--ema`) override per-invocation.
`language`	`vn`	`en` / `vn`	Output language for analyze and deep-research

MA Type Priority: CLI flag (--sma/--ema) > settings.json (use_sma) > default (sma).

IMPORTANT: Before any analysis session, run aipa config get use_sma to check the current MA type setting. Do NOT assume SMA — the user may have switched to EMA. All MA references in your analysis must match the active setting (SMA or EMA).

Available Data Sources

Vietnamese stocks (source: vn): VIC, VCB, FPT, HPG, VNM, MBB, TCB, CTG, VPB, HDB, etc.
Cryptocurrencies (source: crypto): BTCUSDT, ETHUSDT, BNBUSDT, SOLUSDT, etc.
Global/Yahoo (source: global/yahoo): AAPL, TSLA, NVDA, SPY, etc.
SJC Gold (source: sjc): SJC gold prices

Predefined Watchlists

Name	Tickers	Count
VN30	ACB, BID, BSR, CTG, FPT, GAS, GVR, HDB, HPG, LPB, MBB, MSN, MWG, PLX, SAB, SHB, SSB, SSI, STB, TCB, TPB, VCB, VHM, VIB, VIC, VJC, VNM, VPB, VRE, VPL	30
VINGROUP	VIC, VHM, VRE, VPL	4
TM	GEX, GEE, VIX, EIB, VGC, IDC	6
MASAN	MSN, MCH, MSR, MML, VCF, VSN, NET	7
INDEX	VNINDEX, VN30, VN30F1M, VN100, VNMIDCAP, VNSMALLCAP, VNALLSHARE, VNXALLSHARE, VNFIN, HNX30, VNREAL, VNENE, VNMITECH, VNUTI, VNCONS, VNCOND, VNHEAL, VNIND, VNFINLEAD, VNFINSELECT, VNDIAMOND, VNDIVIDEND	22
CROSS	VNINDEX, ^GSPC, GC=F, SJC-GOLD, KC=F, BZ=F, BTCUSDT	7

Note: VN30 was updated on 2026-05-13 — DGC removed (placed under controlled status), BSR added as replacement.

# List all watchlists (predefined + custom)
aipa watchlist ls

# Get tickers for a specific watchlist
aipa watchlist get VN30
aipa watchlist get VINGROUP

# Create a custom watchlist
aipa watchlist set MYWATCHLIST FPT VCB HPG VIC

# Delete a custom watchlist
aipa watchlist rm MYWATCHLIST

# Using watchlist tickers in analyze
aipa analyze $(aipa watchlist get VN30)

Supported Intervals

Interval	Description
`1m`	1 minute
`5m`	5 minutes
`15m`	15 minutes
`30m`	30 minutes
`1h`	1 hour
`4h`	4 hours
`1D`	1 day (default)
`1W`	1 week

Note: All intervals work natively — 1m, 5m, 15m, 30m, 1h, 4h, 1D, 1W, 2W. Non-native intervals are aggregated client-side from base data.

`aipa analyze` — AI Analysis

Run AI-powered technical analysis on one or more tickers.

aipa analyze TICKER [TICKERS...] [options]

Flags

Flag	Default	Description
`TICKER [TICKERS...]`	—	One or more ticker symbols (auto-uppercased)
`--interval`	`1D`	Time interval: `1m`, `5m`, `15m`, `30m`, `1h`, `4h`, `1D`, `1W`, `2W`
`--limit N`	`20`	Number of bars/candles to fetch
`--source`	auto-detect	Filter by source: `vn`, `crypto`, `global`
`--start-date`	—	Start date (e.g. `2025-04-01`)
`--end-date`	—	End date (e.g. `2025-04-30`)
`--reference-ticker`	auto-detect	Reference ticker: `VNINDEX` (VN stocks), `BTCUSDT` (crypto), `^GSPC` (global)
`--lang`	saved setting	Language: `en` or `vn`
`--ma-type`	settings	Moving average type: `ema` or `sma` (from `use_sma` setting)
`--question TEXT`	template 0	Custom analysis question (overrides templates)
`--questions`	—	List available question templates and exit
`--context-only`	—	Dump raw context without calling LLM (no API key needed)
`--no-system-prompt`	—	Exclude system prompt from context output
`--verbose`	—	Show thinking tokens during analysis

Usage Examples

# Basic single-ticker analysis
aipa analyze VCB

# Multi-ticker comparison
aipa analyze VCB TCB MBB CTG VPB

# Specific interval and bar count
aipa analyze BTCUSDT --interval 4h --limit 50

# Custom date range
aipa analyze FPT --start-date 2025-01-01 --end-date 2025-05-01

# Custom analysis question
aipa analyze VIC --question "What is the Wyckoff phase and what are the key price targets?"

# Vietnamese language output
aipa analyze VNM --lang vn

# Dump raw data context without AI analysis (no API key needed)
aipa analyze VCB --context-only

# Show thinking tokens during analysis
aipa analyze HPG --verbose

# Override auto-detected reference ticker
aipa analyze VCB --reference-ticker VN30

# Specific source
aipa analyze BTCUSDT --source crypto

Analysis Workflow

Follow this multi-step workflow for every analysis request. Do NOT just run aipa analyze and stop.

Step 1: Daily Timeframe Analysis

Run aipa analyze on the daily chart first. Use --limit 50 minimum for sufficient context. For Wyckoff phase identification or TP setting, use --limit 60 or higher.

aipa analyze VCB --limit 50

Step 2: Volume Profile for Support/Resistance

Run aipa volume-profile to get structural price levels (POC, Value Area, high-volume nodes). Use a multi-day range covering at least 20 trading days.

aipa volume-profile VCB --start-date 2026-04-14 --end-date 2026-05-27

Note: The dates above are examples. Always use a range covering at least 30 trading days (roughly 6 calendar weeks) ending on today. Calculate --start-date dynamically.

Cross-reference the volume profile levels with the daily analysis — key S/R levels with high volume clusters are more significant.

Step 3: Intraday Deep Dive (If Needed)

Based on the daily analysis, decide whether an intraday look adds value:

Trigger	Action
Daily shows breakout/reversal forming NOW	Run `--interval 1h --limit 50` to see entry timing
Daily shows tight consolidation near key level	Run `--interval 4h --limit 50` to check for patterns
User asks about entry/exit timing or scalping	Run `--interval 15m --limit 50` for micro structure
Daily chart is clear and no timing ambiguity	Skip intraday — daily analysis is sufficient

# 1h for entry/exit timing
aipa analyze VCB --interval 1h --limit 50

# 15m for scalping or micro structure
aipa analyze VCB --interval 15m --limit 50

Step 4: Present Combined Analysis

Synthesize all steps into a single response:

Daily chart: Trend, Wyckoff phase, key levels
Volume profile: Structural S/R with volume confirmation
Intraday (if run): Entry/exit timing, short-term patterns

Do NOT present each step as a separate section. Combine insights into a coherent analysis.

When to Use This Skill vs Others

User Request	Use
"Analyze VCB"	`aipa analyze VCB`
"Compare FPT and VNM"	`aipa analyze FPT VNM`
"Wyckoff analysis for HPG"	`aipa analyze HPG --question "Wyckoff analysis with phases, events, and price targets"`
"Research the banking sector deeply"	Use the `aipa-research` skill instead
"Get price data for VCB"	Use the `aipa-data` skill instead
"Show me OHLCV candles for BTC"	Use the `aipa-data` skill instead
"What are the top stocks today?"	`aipa live-data` (no AI, quick market overview)
"Top gainers / losers"	`aipa performers` (no AI)
"Best stocks by trading value"	`aipa performers --sort-by value` (no AI)
"Volume profile / POC / value area"	`aipa volume-profile TICKER` (no AI)
"What banking stocks are available?"	`aipa ticker-list --source vn --group NGAN_HANG`

Key rule: AI insights → aipa-analyze, raw numbers → aipa-data, comprehensive report → aipa-research, quick market overview → aipa live-data.

Question Templates

The CLI includes pre-built analysis question templates organized by framework. Use --questions to list all available templates.

Single-Ticker Templates (English)

Index	Template	Description
0	Trading Opportunity	Wyckoff phases, Smart Money behavior, deployment roadmap, risk management
1	News & Events Research	Detect extreme moves (>6.7% or Volume >150%), web search for causes
2	Price Action & Volume	VPA analysis, smart money footprints, supply/demand zones
3	MA Momentum & Trend	MA alignment, crossover detection, volume confirmation
4	Wyckoff Method	Wyckoff phases, Spring/Upthrust/SOS events, price targets
5	Bob Volman Price Action	Micro pullback entries, breakout/fading setups, trade planning

Multi-Ticker Templates (English)

Index	Template	Description
0	Trading Opportunity	Analyze all tickers, rank by opportunity quality
1	Stock Performance Comparison	Compare price action strength, MA momentum, volume
2	Market Trend Analysis	Sector rotation via MA scores, accumulation/distribution
3	Risk & Support/Resistance	Map S/R levels with volume context
4	News & Events Research	Detect extreme moves across multiple tickers
5	Bob Volman Price Action	Applied to multiple tickers with ranking
6	Wyckoff Method	Multi-ticker Wyckoff analysis with ranking

Vietnamese translations exist for all templates (use --lang vn).

Using Templates

# List all templates
aipa analyze --questions

# Use a specific template by index (TUI only: /analyze VCB 2)
# In CLI, use --question for custom questions
aipa analyze HPG --question "Phân tích theo phương pháp Wyckoff: xác định pha, sự kiện quan trọng (Spring/Upthrust/SOS), mục tiêu giá và xác nhận khối lượng"

Interpreting Output

The CLI outputs to two streams:

stdout: The final analysis result (the AI's response). This is what you should present to the user.
stderr: Status messages with structured markers for tracking progress.

Status Markers (stderr)

Marker	Meaning
`[build]`	Context building status and timing
`[analyze]`	Analysis question being sent to the LLM
`[tool]`	Tool call being executed (e.g., fetching OHLCV data)
`[tool-result]`	Tool execution result returned
`[thinking]`	Agent reasoning tokens (only with `--verbose`)
`[error]`	Error message
`[done]`	Analysis complete, includes total time
`[result]`	Final analysis output follows

When presenting results to the user, always use the stdout output (after the [result] marker in stderr).

Attribution

When presenting any analysis to the user, always include an attribution line at the end of your response:

English: "Data by AIPriceAction | AI-powered analysis — may contain errors. Verify before trading."
Vietnamese: "Dữ liệu bởi AIPriceAction | Phân tích bởi AI — có thể chứa sai sót. Vui lòng kiểm chứng trước khi giao dịch."

Do NOT say "analysis provided by AIPriceAction" or "phân tích được cung cấp bởi AIPriceAction". AIPriceAction provides the data; the analysis is AI-generated and may be inaccurate.

No API Key — Agent Fallback

If you are an AI agent and see this fallback output, you should perform the analysis yourself using the printed context:

Read the OHLCV data, MA scores, and market context from the stdout output
Apply the same analytical framework the CLI would have used (Wyckoff, VPA, MA momentum, etc.)
Produce the analysis result as if the LLM agent had generated it
Present the result to the user in the same format the CLI normally would

The context output is identical to aipa analyze --context-only, so treat it as your input data and do the reasoning yourself.

Fundamentals: Ask Before Running

The user explicitly says "fundamentals", "fundamental analysis", "cơ bản", "phân tích cơ bản", "PE", "ROE", "NPL", "CAR", etc.
The user asks about valuation, profitability, or financial health
The user asks to compare stocks by financial metrics (not price action)
The user says "report" or "báo cáo" — these may imply financial reports. If unclear, ask to confirm.

Version gate: aipa fundamentals requires aipa-cli >= 0.1.48. Verify before use:
aipa --version
If < 0.1.48, upgrade: uvx aipa-cli@latest or pip install --upgrade aipa-cli.

When fundamentals are relevant, use these commands to enrich your technical analysis:

# Quick company snapshot
aipa fundamentals info VCB

# Latest financial ratios
aipa fundamentals ratios VCB --latest

# Bank-specific metrics (NPL, CAR, CASA, CIR)
aipa fundamentals ratios VCB --category bank --latest

# Compare ROE across peers
aipa fundamentals rank VCB BID CTG TCB MBB --sort-by roe

# Rank by historical year
aipa fundamentals rank --year 2023 --sort-by roe

# Screen for value stocks
aipa fundamentals screen --pe-max 15 --roe-min 0.15 --sort-by roe

# Screen specific quarter
aipa fundamentals screen --period "2024 Q3" --sort-by roe

# Screen banking sector for asset quality
aipa fundamentals screen --industry "ngân hàng" --npl-max 0.015 --sort-by npl --direction asc

How Fundamentals Enhance Technical Analysis

When the user asks for fundamentals, combine technical and fundamental views:

Valuation context: Is the stock expensive (high PE/PB) or cheap? A breakout at PE=8 is different from PE=30.
Bank health (VN banks): NPL, CAR, CASA, CIR provide critical risk context. High NPL + bearish technicals = strong sell signal.
Profitability confirmation: High ROE/ROA supports bullish thesis. Declining margins = fundamental weakness beneath technical strength.
Screening for candidates: Use rank and screen to find fundamentally strong stocks, then apply technical analysis to time entries.

Fundamental Comparison Workflow

Step 1: Side-by-side ranking (mandatory)

Use aipa fundamentals rank with the specific tickers to get a comparative table in a single call. Run at least 2 perspectives relevant to the sector:

# Profitability comparison
aipa fundamentals rank VCB BID CTG TCB MBB --sort-by roe

# Valuation comparison
aipa fundamentals rank VCB BID CTG TCB MBB --sort-by pe --direction asc

# Bank health: asset quality + capital adequacy
aipa fundamentals rank VCB BID CTG TCB MBB --sort-by npl --direction asc
aipa fundamentals rank VCB BID CTG TCB MBB --sort-by car --direction desc

# General stocks: dividend + valuation
aipa fundamentals rank FPT VNM HPG MWG --sort-by dividend_yield --direction desc
aipa fundamentals rank FPT VNM HPG MWG --sort-by pe --direction asc

Step 2: Screen for quality (optional but recommended)

Use aipa fundamentals screen with the tickers to filter by quality criteria. This eliminates weak candidates immediately:

# Only banks with acceptable asset quality AND profitability
aipa fundamentals screen VCB BID CTG TCB MBB --npl-max 0.015 --roe-min 0.15 --sort-by roe

# Only stocks with reasonable valuation
aipa fundamentals screen VCB FPT HPG VNM --pe-max 20 --roe-min 0.10 --sort-by pe --direction asc

# Entire sector with quality filter
aipa fundamentals screen --industry "ngân hàng" --npl-max 0.02 --car-min 0.09 --sort-by roe

Step 3: Individual deep dive (only for shortlisted tickers)

Only after Steps 1-2, use ratios --latest for individual tickers that ranked at the top or need further investigation. Use info for company context:

aipa fundamentals ratios VCB --latest                # full ratios for top candidate
aipa fundamentals ratios VCB --category bank --latest # bank-specific deep dive
aipa fundamentals info VCB                            # company profile context

Analysis Framework

When performing analysis (either via the CLI or as agent fallback), follow these priorities:

Volume Price Action (VPA) Analysis: Always analyze the relationship between price and volume to identify smart money behavior, accumulation/distribution patterns, and confirm trend strength
Price-Volume Confirmation: Look for volume confirmation on price movements — increasing volume on breakouts (bullish) vs decreasing volume on rallies (bearish divergence)
Wyckoff Phases: Identify market phases (Accumulation, Markup, Distribution, Markdown) based on price-volume patterns. Key events: Spring, Upthrust, SOS (Sign of Strength), SOW (Sign of Weakness), Buying Climax, Test for Supply
Support/Resistance with Volume: Key levels are more significant when accompanied by high volume — look for volume spikes at support/resistance
Volume Trends & Spikes: Compare current volume to recent average volume (e.g. 20-day average), NOT just the previous day's volume. A large day-over-day percentage jump (like volume_changed +92%) is a FALSE SIGNAL if the previous day had abnormally low liquidity. Always verify absolute volume against the average before claiming an "explosive", "distribution", or "climax" event.
Extreme Price Changes: Detect moves exceeding ±6.7%/day (VN market limit) and search recent news/events to find causes
Risk Management: Every analysis must include both positive (opportunities, strengths, bullish signals) and negative (risks, weaknesses, bearish signals) insights. Quantify downside risk with specific price levels, identify what would invalidate the current thesis, and never present a one-sided view
Fundamental Context (when requested): When the user asks for fundamentals, enrich the technical analysis with PE, PB, ROE, NPL, CAR, and other financial metrics. Fundamentals do NOT replace technical analysis — they add context.
Nhóm Chủ Lực (Core Market Sectors - VN Market Only): When analyzing the Vietnamese market, always contextualize tickers within their respective "Nhóm Chủ Lực" (Core Sectors) to assess systemic flow. The key groups are:
- Nhóm Ngân hàng (Banking): VCB, BID, CTG, TCB, MBB, ACB, VPB, HDB, SHB, TPB, VIB, SSB, MSB, STB, LPB, EIB.
- Nhóm Bất động sản (Real Estate): VIC, VHM, VRE, VPL, DIG, CEO, L14, TCH, HHS, VGC, IDC.
- Nhóm Chứng khoán (Securities): SSI, VND, HCM, VCI, SHS, VIX, VDS.
- Nhóm Trụ cột / Sản xuất & Bán lẻ (Blue-chips / Core Economy): HPG, HSG, NKG, FPT, MWG, GAS, GVR, PLX, BSR, MSN, VNM, SAB.
- Nhóm Hệ sinh thái (Corporate Ecosystems):
  - Họ Vingroup: VIC, VHM, VRE, VPL.
  - Họ Bầu Thụy: STB, LPB, THD, HAG.
  - Họ Gelex ("Tuấn Mượt"): GEX, GEE, VIX, VGC, EIB, IDC.
  - Họ Hoàng Huy: TCH, HHS.
  - Họ A7: DIG, CEO, L14.
  - Họ TTC (Thành Thành Công): SBT, GEG, VDS.
  - Họ Masan: MSN, MCH, MSR, MML, VCF, VSN, NET.
  - Họ Viettel: VGI, CTR, VTP. (Note: This classification applies only to the Vietnamese market. Crypto and Global markets do not use this specific grouping yet).

Data Usage Policy (CRITICAL)

NEVER generate, guess, estimate, or hallucinate any numbers — prices, volumes, MA values, MA scores, percentages, dates, or any financial data. Only use data from tool results or user-provided context
NEVER mention a specific number unless it appears in your tool results or user-provided context
Use tools proactively — call aipa analyze, aipa get-ohlcv-data, and/or aipa performers BEFORE answering price-related questions
When researching news or events, ALWAYS include the source name (e.g., "Source: CafeF", "Source: VNExpress")
Trading Hours: VN market trades 09:00–15:00 ICT (UTC+7), Mon–Fri. Crypto 24/7. If the latest bar shows unusually low volume, the session may still be in progress

T+2 Settlement Rule (VN stocks only)

This rule applies ONLY to Vietnamese stocks (--source vn). Crypto and global stocks are not subject to T+2 settlement.

IMPORTANT: For all stock purchases in the Vietnamese stock market, shares are only settled and available for trading (selling) on the afternoon of T+2 (specifically at 13:00 / 1:00 PM on day T+2, not T+3).

NEVER propose or attempt to execute any Stop Loss or Take Profit actions on T+1 (the first business day after the purchase), as the shares have not yet settled.

Always check the purchase date of any stock positions when recommending sell actions.

Portfolio File

The agent looks for a portfolio file in the working directory to track positions. Accepted file names (checked in order):

DANH_MUC.md
PORTFOLIO.md
ACCOUNT.md

If none exists, the agent should ask the user whether they want to create one.

Watchlist File

The agent also looks for a watchlist file to track tickers being monitored (no positions yet). Accepted file names (checked in order):

THEO_DOI.md
WATCHLIST.md

This tracks potential entry candidates. Include: ticker, sector, watch reason, entry zone, key level, and added date.

Risk Management Rules (MANDATORY)

Always check settlement status before recommending sell actions (VN stocks only) — cross-reference buy date with today. For VN stocks, shares are NOT sellable until afternoon of T+2. Does NOT apply to crypto or global stocks
Every analysis must quantify risk — include specific Stop Loss and Take Profit levels with reasoning, state what invalidates the thesis, calculate risk-reward ratio
Never present one-sided analysis — every ticker must have both bullish signals and bearish risks
Position sizing awareness — flag concentration risk when >30% of portfolio is in one sector
Daily portfolio review — mark settled positions, check SL/TP hits, flag thesis changes

Strict Data Reading & Validation (CRITICAL)

Rules:

Row-by-Row Verification: When reading OHLCV data output from the CLI, you MUST strictly read the exact row for the exact date requested. Do not accidentally read data from an adjacent row or a different ticker's block in multi-ticker outputs.
Precision Filter with Grep: To minimize reading errors and context volume, always use grep -E to isolate your target dates across one or multiple tickers. Use "time" as your header anchor.
- Surgical view (Header + Today + Breakout Day): uvx aipa-cli get-ohlcv-data TCB MSB STB | grep -E "time|2026-05-27|2026-05-07"
- Comparing recent days: uvx aipa-cli get-ohlcv-data VND | grep -E "time|2026-05-27|2026-05-26"
Explicit Value Comparison: Before concluding whether a trend is broken or intact, explicitly state the values being compared: [Close Price] vs [MA/EMA Value].
- Example: "Close is 17.750, EMA20 is 16.881. 17.750 > 16.881 → Price is ABOVE EMA20 (Trend intact)."
Breakout Validation: A breakout (significant positive price change + high volume) creates a critical support at the structural breakout level — the top of the pre-breakout base/range, the prior swing high, or the pattern's neckline. The breakout candle's Low is NOT a reliable invalidation point: it can extend well below the structural level due to gap opens, intraday noise, or volatile entry bars.
- The correct invalidation is a fall back below the structural breakout level, not below the candle's Low.
- If price pulls back but stays above the structural level, the breakout is intact — this is a healthy pullback.
- If price falls below the structural breakout level, it is a Failed Breakout / Structural Violation.
- Action: Always identify the pre-breakout structure first. Only then assess whether a pullback is healthy (above structure) or a failure (below structure).

No Premature TP (Chốt Non) — CRITICAL

Symptom: Position is up 1-3% and agent recommends partial or full close because "TP1 was hit" — ignoring the Wyckoff thesis (Phase E Markup / SOS / LPS unconfirmed).

Rules:

Never recommend TP (partial or full) when P&L < 1× ATR(14) from entry. If ATR is unavailable: do not TP when profit < 3% for Markup Phase D/E, < 5% for Accumulation breakout.
Always check Wyckoff phase before mentioning "take profit":
- Phase E Markup / SOS breakout: DO NOT TP — the trend is just starting. This is a trend trade, not a scalp.
- Re-accumulation / Spring test: DO NOT TP — position just formed.
- Only consider TP when distribution signs appear (volume climax, weekly bearish engulfing, Upthrust after extended markup).
Check momentum before suggesting TP:
- Is price at a swing high with volume > 20-day average?
- Are there distribution candles (shooting star, bearish engulfing, volume spike)?
- Is there weekly resistance above?
- If all 3 are NO → TP is forbidden. Let it run.
Premature TP checklist (run before every sell/reduce recommendation):

Question Pass/Fail
P&L > 3%?
Is Wyckoff phase Distribution / Upthrust?
Are there distribution signs (volume climax, bearish weekly)?
Does the weekly chart show strong resistance above?

If all 4 are NO → TP is BLOCKED. Document the reason in the report.
Controlled exception: Premature TP is only allowed when the user explicitly requests it or needs urgent liquidity. The agent must NEVER autonomously propose premature TP in any form (including "protect profits", "reduce risk", etc.).

Add-Size Rules — Propose Add Instead of Premature TP

Shift in mindset: When a position is working (up 2-5% with Volume Price Action confirmation), the correct response is:

Don't: "Chốt lời 50% tại đây"
Do: "Here's where you can add on pullback / breakout confirmation"

Rules:

When a position is in profit and thesis is intact, always check for add-size setups before considering any TP. The add-size plan must be defined at entry (not invented after the position moves).
Two valid add scenarios (must pick one at entry):
- Pullback add (Zone B): Price pulls back to a lower value zone with declining volume (No Supply). Example: GAS bought at 84,800 → add at 82,500-83,500 on low volume test.
- Breakout add: Price breaks a clear structural level (range ceiling, swing high) with volume > 1.5× 20-day average. Example: ACB > 25,500 with vol > 40M.
Never add at market price without a structural reason. "Momentum is strong" is not a reason — waiting for a pullback to a predefined zone is.

Add-size check before every suggestion:

Question	Pass/Fail
Is the original Wyckoff thesis still intact?
Is price at a predefined add zone (not no-man's land)?
Does volume confirm? (pullback = low/declining, breakout = high/surge)
Is the position NOT testing its SL?
Would this add lot have R:R ≥ 1:1 as an independent trade?

If all pass → propose the add. If any fail → hold only, no add.

Max 2 adds per position. After reaching max size, just hold and let the trend run. No further pyramiding.

Precheck Mandatory — Safety Gate Before Every Entry Decision

Symptom: Analyzing entry on low timeframe (15m/1h) without checking higher timeframe structure — missing historical supply zones (Buying Climax, UTAD) that invalidate the thesis.

Rule: Before proposing ANY entry, trade decision, or price target, you MUST run:

# 1. Daily 60 — detect BC/UTAD/historical structure
aipa get-ohlcv-data TICKER --limit 60 --no-ma

# 2. Weekly 52 — confirm overall trend direction
aipa get-ohlcv-data TICKER --interval 1W --limit 52 --no-ma

# 3. Volume Profile 30+ days — identify key price levels
aipa volume-profile TICKER --start-date [30+ days ago] --end-date [today]

This is a safety gate, not analysis. The purpose is to detect structural red flags before spending tokens on deeper analysis:

Detection	Meaning	Action
Buying Climax (BC) at current price zone	Historical volume peak = large supply	DO NOT enter here. Lower entry zone or cancel.
Upthrust After Distribution (UTAD)	False breakout, bull trap	Cancel entry. Wait for return to range.
Weekly trend bearish (price below MA20/50 weekly)	Overall trend is down	DO NOT go long. Wait for weekly reversal.
SOS confirmed + weekly up	Genuine breakout	✅ Proceed with entry analysis.
Spring at POC + weekly support	Successful bottom test	✅ Entry is valid.

Preflight checklist before every entry:

□ Daily 60 — no BC/UTAD at current price zone
□ Weekly 52 — trend aligned with entry direction
□ VP 30d — TP anchored to swing high/VAH (not round number)
□ SL below POC/VAH/MA20
□ R:R ≥ 1:2 after precheck

Root cause of the FPT error on June 4, 2026: Skipped daily 60 + weekly 52, went straight to 15m intraday. Saw pullback from 77,700 to 76,300 with declining volume → incorrectly assumed LPS (Last Point of Support) in a healthy markup. Missed the May 20 Buying Climax (high 77,432, close 76,643, volume 26M — 2.2× average) which was the exact same supply zone price was retesting at 76,300-76,500 on June 4. Precheck (daily 60 + weekly 52 + VP 30d) would have caught the BC immediately and blocked any buy recommendation at that level.

Calculate Metrics with Python — No Hallucinated Numbers

Rule: Before writing ANY numerical claim in analysis (volume multiplier, R:R ratio, average cost, MA distance), you MUST compute it using aipa-cli | python3 pipe. NEVER estimate or guess.

Volume vs 20-day Average (the most common mistake)

uvx aipa-cli get-ohlcv-data TICKER --limit 50 --no-ma --no-system-prompt 2>/dev/null | python3 -c "
import sys
from collections import defaultdict
data = defaultdict(list)
for line in sys.stdin:
    parts = line.split()
    if len(parts) >= 7 and parts[0] != 'time':
        data[parts[-1]].append((parts[0], int(float(parts[5]))))
for sym, rows in data.items():
    if len(rows) >= 21:
        avg20 = sum(r[1] for r in rows[-21:-1]) / 20
        last_vol = rows[-1][1]
        print(f'{sym} {rows[-1][0]}: vol={last_vol/1e6:.1f}M | avg20d={avg20/1e6:.1f}M | ratio={last_vol/avg20:.1f}x')
"

Anti-pattern: NEVER do this:

volume_changed is +557% → write "vol 5x TB" ❌ (557% ≠ 5x, and it's vs yesterday, not vs 20d avg)
volume_changed is +216% → write "vol 2x TB" ❌ (same mistake)

Correct pattern:

volume_changed +557% means today's volume is 6.57× yesterday's volume (1 + 5.57)
To get vs-20d-average multiplier, you MUST compute: today_vol / average(last_20_days_vol)

Batch Volume Verification (multiple tickers + specific dates)

uvx aipa-cli get-ohlcv-data VCB TCB MBB --limit 50 --no-ma --no-system-prompt 2>/dev/null | python3 -c "
import sys
from collections import defaultdict
data = defaultdict(list)
for line in sys.stdin:
    parts = line.split()
    if len(parts) >= 7 and parts[0] != 'time':
        data[parts[-1]].append((parts[0], int(float(parts[5]))))
checks = [
    ('VCB', '2026-06-10', 20),
    ('TCB', '2026-06-10', 20),
    ('MBB', '2026-06-10', 20),
]
for sym, date, ndays in checks:
    for i, (d, v) in enumerate(data.get(sym, [])):
        if d == date:
            start = max(0, i - ndays)
            avg = sum(r[1] for r in data[sym][start:i]) / len(data[sym][start:i])
            print(f'{sym} {date}: vol={v/1e6:.1f}M avg{ndays}d={avg/1e6:.1f}M ratio={v/avg:.1f}x')
            break
"

R:R Calculation

python3 -c "
entry, sl, tp = 8400, 7700, 9500
risk = entry - sl
reward = tp - entry
rr = reward / risk
print(f'Risk={risk} Reward={reward} R:R={rr:.1f}:1 {\"OK\" if rr >= 2 else \"BLOCKED - R:R < 1:2\"}')"

Average Cost (multi-lot)

python3 -c "
lots = [(8400, 1000), (8600, 500)]
total_qty = sum(q for _, q in lots)
avg = sum(p * q for p, q in lots) / total_qty
print(f'Avg cost: {avg:.0f} | Qty: {total_qty}')"

MA Distance %

uvx aipa-cli get-ohlcv-data TICKER --limit 50 --no-ma --no-system-prompt 2>/dev/null | python3 -c "
import sys
rows = []
for line in sys.stdin:
    parts = line.split()
    if len(parts) >= 7 and parts[0] != 'time':
        rows.append({'date': parts[0], 'close': float(parts[4]), 'ticker': parts[-1]})
if rows:
    closes = [r['close'] for r in rows]
    ma20 = sum(closes[-21:-1]) / 20
    pct = (rows[-1]['close'] - ma20) / ma20 * 100
    print(f\"{rows[-1]['ticker']} close={rows[-1]['close']:.0f} MA20={ma20:.0f} dist={pct:+.1f}%\")"

Mandatory rule: If you cannot verify a number with a pipe command, do NOT write it in any file. Use the actual computed value, rounded to 1 decimal place for multipliers and 0.1% for percentages.

Tips for AI Agents

Auto-uppercase: Ticker symbols are automatically converted to uppercase. You can pass vcb, btcusdt, etc. — they will be treated as VCB, BTCUSDT.
Use --context-only for data inspection: If you only need to see what data is available without spending API credits, use aipa analyze VCB --context-only.
Default is good enough: The default template (index 0, Trading Opportunity) is comprehensive. Only specify --question when the user has a specific analytical framework in mind.
Multi-ticker for comparisons: When the user asks to "compare" or "which is better", pass multiple tickers: aipa analyze VCB TCB MBB.
Use --lang vn for Vietnamese users: If the user writes in Vietnamese or asks for Vietnamese output, add --lang vn.
Use --verbose for transparency: When the user wants to see the reasoning process, add --verbose.
aipa-data for raw numbers: If the user asks for "price data", "candle data", or "OHLCV" without wanting AI analysis, use the aipa-data skill instead.
Interval matters: For intraday analysis, use 1h or 4h. For swing trading, use 1D. For scalping, use 15m or 5m.
Combine with --limit: More bars = more context. Use --limit 50 or --limit 100 for deeper analysis. Default is 20.
Reference ticker: Auto-detected based on the ticker's source — VNINDEX for VN stocks, BTCUSDT for crypto, ^GSPC for global stocks. Use --reference-ticker to override.

aipa performers                                          # price change — top gainers / worst losers
aipa performers --sort-by value                          # trading value — where the money flows
aipa performers --sort-by ma50_score                     # MA50 trend — strongest/weakest medium-term trends
aipa performers --sort-by ma20_score                     # MA20 trend — strongest/weakest short-term trends
aipa performers --sort-by total_money_changed            # money flow change — unusual capital activity
aipa performers --source crypto --sort-by value          # crypto by trading value
aipa performers --group NGAN_HANG --sort-by value        # banking sector by trading value
aipa performers --group CHUNG_KHOAN --sort-by close_changed  # securities sector top gainers

Use aipa volume-profile for support/resistance context: When analyzing a ticker and the user asks about key price levels, support, resistance, or "where is the volume?", run aipa volume-profile TICKER to get POC (Point of Control), value area, and volume-weighted statistics. Prefer multi-day ranges over single-day profiles — they produce more reliable support/resistance levels and smooth out intraday noise. Use --start-date and --end-date covering at least 20 trading days as the default approach. Only use a single --date when the user explicitly asks for one specific day. Examples:
- aipa volume-profile VCB --start-date 2026-04-14 --end-date 2026-05-09 — 1-month range (preferred default)
- aipa volume-profile VCB --start-date 2026-04-28 --end-date 2026-05-09 --bins 30 — 2-week range
- aipa volume-profile VCB --date 2026-05-08 — single date (only when specifically requested)
- aipa volume-profile BTCUSDT --source crypto --bins 30 --start-date 2026-05-05 --end-date 2026-05-09 — crypto multi-day
- aipa volume-profile FPT --start-date 2026-05-01 --end-date 2026-05-09 --bins 30 --value-area-pct 80 — full options

Question	Pass/Fail
P&L > 3%?
Is Wyckoff phase Distribution / Upthrust?
Are there distribution signs (volume climax, bearish weekly)?
Does the weekly chart show strong resistance above?

aipa-analyze

このリポジトリの他の Skills

このリポジトリの他の Skills

aipa-analyze

Lời Truyền Cảm Hứng Cho Nhà Giao Dịch

Tư duy và Phương pháp luận

Kỷ luật và Quản trị rủi ro

Tâm lý và Thực chiến

Kiên nhẫn và Quản lý vị thế (No Premature TP & Add-Size)

What is aipa

Installation

Keeping the CLI Updated

Environment Variables

aipa-config — Settings Management

Available Data Sources

Predefined Watchlists

Supported Intervals

aipa analyze — AI Analysis

Flags

Usage Examples

Analysis Workflow

Step 1: Daily Timeframe Analysis

Step 2: Volume Profile for Support/Resistance

Step 3: Intraday Deep Dive (If Needed)

Step 4: Present Combined Analysis

When to Use This Skill vs Others

Question Templates

Single-Ticker Templates (English)

Multi-Ticker Templates (English)

Using Templates

Interpreting Output

Status Markers (stderr)

Attribution

No API Key — Agent Fallback

Fundamentals: Ask Before Running

How Fundamentals Enhance Technical Analysis

Fundamental Comparison Workflow

Analysis Framework

Data Usage Policy (CRITICAL)

T+2 Settlement Rule (VN stocks only)

Portfolio File

Watchlist File

Risk Management Rules (MANDATORY)

Strict Data Reading & Validation (CRITICAL)

No Premature TP (Chốt Non) — CRITICAL

Add-Size Rules — Propose Add Instead of Premature TP

Precheck Mandatory — Safety Gate Before Every Entry Decision

Calculate Metrics with Python — No Hallucinated Numbers

Volume vs 20-day Average (the most common mistake)

Batch Volume Verification (multiple tickers + specific dates)

R:R Calculation

Average Cost (multi-lot)

MA Distance %

Tips for AI Agents

aipa-analyze

Lời Truyền Cảm Hứng Cho Nhà Giao Dịch

Tư duy và Phương pháp luận

Kỷ luật và Quản trị rủi ro

Tâm lý và Thực chiến

Kiên nhẫn và Quản lý vị thế (No Premature TP & Add-Size)

What is aipa

Installation

Keeping the CLI Updated

Environment Variables

aipa-config — Settings Management

Available Data Sources

Predefined Watchlists

Supported Intervals

aipa analyze — AI Analysis

Flags

Usage Examples

Analysis Workflow

Step 1: Daily Timeframe Analysis

Step 2: Volume Profile for Support/Resistance

Step 3: Intraday Deep Dive (If Needed)

Step 4: Present Combined Analysis

When to Use This Skill vs Others

Question Templates

Single-Ticker Templates (English)

Multi-Ticker Templates (English)

`aipa analyze` — AI Analysis

`aipa analyze` — AI Analysis