Tushare Data
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求，转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
Detects Elliott Wave structures in price data with a Zigzag swing finder and Fibonacci checks, and turns completed waves into long, short or flat signals.
Install Elliott Wave Signal Engine
$ npx skills add HKUDS/Vibe-Trading --skill elliott-wave -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HKUDS/Vibe-Trading elliott-wave --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent/src/skills/elliott-wave .claude/skills/elliott-wave && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "elliott-wave" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/elliott-wave into .claude/skills/elliott-wave/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elliott-wave", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/elliott-waveType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add HKUDS/Vibe-Trading --skill elliott-wave -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HKUDS/Vibe-Trading elliott-wave --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent/src/skills/elliott-wave .agents/skills/elliott-wave && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "elliott-wave" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/elliott-wave into .agents/skills/elliott-wave/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elliott-wave", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/Vibe-Trading --skill elliott-wave -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HKUDS/Vibe-Trading elliott-wave --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent/src/skills/elliott-wave .cursor/skills/elliott-wave && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "elliott-wave" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/elliott-wave into .cursor/skills/elliott-wave/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elliott-wave", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/HKUDS/Vibe-Trading.git --path agent/src/skills/elliott-wave--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add HKUDS/Vibe-Trading --skill elliott-wave -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HKUDS/Vibe-Trading elliott-wave --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent/src/skills/elliott-wave .gemini/skills/elliott-wave && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "elliott-wave" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/elliott-wave into .gemini/skills/elliott-wave/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elliott-wave", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install HKUDS/Vibe-Trading elliott-waveInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add HKUDS/Vibe-Trading --skill elliott-wave -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent/src/skills/elliott-wave .github/skills/elliott-wave && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "elliott-wave" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/elliott-wave into .github/skills/elliott-wave/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elliott-wave", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/Vibe-Trading --skill elliott-wave -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install HKUDS/Vibe-Trading elliott-wave --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent/src/skills/elliott-wave .opencode/skills/elliott-wave && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "elliott-wave" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/elliott-wave into .opencode/skills/elliott-wave/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elliott-wave", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
elliott-wave- GitHub stars
- 35k
- Token cost
- ~482 tokens
- SKILL.md length
- 204 words
- Files
- 4 (incl. references)
- Skills in repo
- 89
- Repo updated
- First seen
- Licence
- MIT
At a glance
Detects Elliott Wave structures in price data with a Zigzag swing finder and Fibonacci checks, and turns completed waves into long, short or flat signals.
- Works in 3 steps: Wave 2 cannot retrace beyond the start… → Wave 3 cannot be the shortest impulse wave → Wave 4 cannot enter the price territory…
- Backtesting a wave-based trend-top and correction-complete signal on price history
- SKILL.md covers Purpose, Core Rules, Signal Logic and Parameters, plus 3 more sections
- Runs Python scripts from its folder; calls pip
What it does
Elliott Wave theory is implemented here as a pandas-based signal engine. It finds swing points with a Zigzag routine, matches five-wave impulse and three-wave corrective patterns, and checks them against the three impulse rules and Fibonacci relationships between waves, such as wave 3 at 1.618 times wave 1.
A completed five-wave advance produces a sell signal at the trend top, a finished A-B-C pullback produces a buy, and a wave 3 in progress produces no reversal signal. Signals use 1 for long, -1 for short and 0 for standing aside. The tunable parameters are swing_window (default 10), fib_tolerance (0.15) and min_wave_bars (5).
The notes admit that wave counting is subjective and automatic counts can have several readings, so the engine settles on one simple interpretation and prefers missing a signal to misclassifying one. The folder holds example_signal_engine.py and two reference notes on wave structure and Fibonacci relations, and the dependencies are pandas, numpy and requests.
When your agent uses it
- Backtesting a wave-based trend-top and correction-complete signal on price history
- Checking whether a price series fits a five-wave impulse followed by an A-B-C correction
- Adding an Elliott Wave rule to an existing signal engine
Example prompts
- “Run the Elliott Wave signal engine on the daily closes in ./data/spy.csv.”
- “Count the waves in this price series and list where a five-wave advance completes.”
- “Loosen the Fibonacci tolerance and show how many signals change.”
Requirements
- Python with pandas, numpy and requests installed via pip
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Wave 2 cannot retrace beyond the start of wave 1
- Wave 3 cannot be the shortest impulse wave
- Wave 4 cannot enter the price territory of wave 1
What it can do on your machine
Read from SKILL.md and the folder at commit e532650. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Elliott Wave Signal Engine loads about 482 tokens when it runs, and up to ~962 if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 204 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from HKUDS/Vibe-Trading at commit e532650, republished under its MIT licence (© HKUDS). 204 words, ~482 tokens.
Download SKILL.mdSave it as
.claude/skills/elliott-wave/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- elliott-wave
- description
- Elliott Wave Theory signal engine. Detects swing points through Zigzag, matches 5-wave impulse and 3-wave corrective structures, validates them with Fibonacci wave relationships, and generates trend-top / correction-complete signals. Pure in-house pandas implementation.
- category
- strategy
Elliott Wave Theory
Purpose
Classic wave theory based on the core assumption that markets move in fractal wave structures:
| Structure | Wave Count | Direction | Meaning |
|---|---|---|---|
| Impulse wave | 5 waves (1-2-3-4-5) | Trend-following | Main trend direction |
| Corrective wave | 3 waves (A-B-C) | Counter-trend | Pullback correction |
Core Rules
Three Iron Rules for Impulse Waves
- Wave 2 cannot retrace beyond the start of wave 1
- Wave 3 cannot be the shortest impulse wave
- Wave 4 cannot enter the price territory of wave 1
Fibonacci Relationships Between Waves
- Wave 2 retraces 0.5-0.618 of wave 1
- Wave 3 = wave 1 × 1.618 (most common)
- Wave 4 retraces 0.382 of wave 3
- Wave 5 ≈ the length of wave 1
Signal Logic
- 5-wave advance completed → sell (trend top)
- ABC pullback completed → buy (correction finished)
- Wave 3 in progress → stay with the trend (no reversal signal is generated)
Parameters
| Parameter | Default | Description |
|---|---|---|
| swing_window | 10 | Rolling window for swing-point detection |
| fib_tolerance | 0.15 | Tolerance for Fibonacci ratios |
| min_wave_bars | 5 | Minimum number of candles per wave |
Notes
Wave theory is highly subjective, and automatic counting can yield multiple interpretations. This implementation uses a "simplest effective single interpretation" strategy and would rather miss signals than misclassify them.
Dependencies
pip install pandas numpy requestsSignal Convention
1= long,-1= short,0= stand aside
© HKUDS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (references) in agent/src/skills/elliott-wave of HKUDS/Vibe-Trading.
- SKILL.md
- example_signal_engine.py
- references/Fibonacci浪间关系.md
- references/波浪结构.md
Open the folder on GitHubat commit e532650
Compare with similar skills
Elliott Wave Signal Engine next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Elliott Wave Signal Engine this skillHKUDS/Vibe-Trading | 35k | — | ~482 | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 321 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Quant Blog Writingzillionare/zillionare | 321 | — | ~895 | Automated safety check: Pass | None | |
| WorldQuant BRAIN Alpha ResearchQuantML-Research/wq-alpha-research | 405 | — | ~4.9k | Automated safety check: Pass | None | |
| Polymarket Tennislivetennisapi/livetennisapi-mcp | 152 | — | ~3k | Automated safety check: Pass | MIT | |
| Backtestinggauss314/skills | 247 | — | ~2.4k | Automated safety check: Pass | MIT |
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Questions about Elliott Wave Signal Engine
What does Elliott Wave Signal Engine do?
Detects Elliott Wave structures in price data with a Zigzag swing finder and Fibonacci checks, and turns completed waves into long, short or flat signals. Elliott Wave theory is implemented here as a pandas-based signal engine.618 times wave 1.
When should I use Elliott Wave Signal Engine?
Elliott Wave Signal Engine fits situations like: backtesting a wave-based trend-top and correction-complete signal on price history; checking whether a price series fits a five-wave impulse followed by an A-B-C correction; adding an Elliott Wave rule to an existing signal engine.
How do I install Elliott Wave Signal Engine in Claude Code?
Run `npx skills add HKUDS/Vibe-Trading --skill elliott-wave -a claude-code`. Or copy the skill folder (agent/src/skills/elliott-wave in HKUDS/Vibe-Trading) into .claude/skills/elliott-wave in your project. Claude Code loads it when a task matches its description.
How do I install Elliott Wave Signal Engine in Codex?
Run `npx skills add HKUDS/Vibe-Trading --skill elliott-wave -a codex`. Or copy the skill folder (agent/src/skills/elliott-wave in HKUDS/Vibe-Trading) into .agents/skills/elliott-wave in your project. Codex loads it when a task matches its description.
Can I use Elliott Wave Signal Engine in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HKUDS/Vibe-Trading --skill elliott-wave -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/elliott-wave, .gemini/skills/elliott-wave, .github/skills/elliott-wave and .opencode/skills/elliott-wave in your project.
What does Elliott Wave Signal Engine need to run?
Going by SKILL.md and its folder, Elliott Wave Signal Engine needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python with pandas, numpy and requests installed via pip.
Does Elliott Wave Signal Engine access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Elliott Wave Signal Engine safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Elliott Wave Signal Engine use?
Elliott Wave Signal Engine is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Elliott Wave Signal Engine use?
About 482 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 480 tokens, read only when the agent opens those files.
What are the alternatives to Elliott Wave Signal Engine?
Skills that share tags, products or a category with Elliott Wave Signal Engine: Tushare Data (zillionare/zillionare, 321 stars), Quant Blog Writing (zillionare/zillionare, 321 stars), WorldQuant BRAIN Alpha Research (QuantML-Research/wq-alpha-research, 405 stars) and Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Elliott Wave Signal Engine?
HKUDS (a GitHub organization) maintains it in HKUDS/Vibe-Trading, which has 35,043 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 8, 2026.
Source: HKUDS/Vibe-Trading on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.