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。
Builds a composite trading signal from three groups of classic indicators (trend, mean reversion, volume) voting long, short or flat, in plain pandas for OHLCV data.
Install Core Technical Indicator Signals
$ npx skills add HKUDS/Vibe-Trading --skill technical-basic -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HKUDS/Vibe-Trading technical-basic --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/technical-basic .claude/skills/technical-basic && 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 "technical-basic" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/technical-basic into .claude/skills/technical-basic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technical-basic", 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/technical-basicType 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 technical-basic -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HKUDS/Vibe-Trading technical-basic --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/technical-basic .agents/skills/technical-basic && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "technical-basic" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/technical-basic into .agents/skills/technical-basic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technical-basic", 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 technical-basic -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HKUDS/Vibe-Trading technical-basic --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/technical-basic .cursor/skills/technical-basic && 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 "technical-basic" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/technical-basic into .cursor/skills/technical-basic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technical-basic", 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/technical-basic--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 technical-basic -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HKUDS/Vibe-Trading technical-basic --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/technical-basic .gemini/skills/technical-basic && 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 "technical-basic" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/technical-basic into .gemini/skills/technical-basic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technical-basic", 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 technical-basicInstalls 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 technical-basic -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/technical-basic .github/skills/technical-basic && 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 "technical-basic" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/technical-basic into .github/skills/technical-basic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technical-basic", 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 technical-basic -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 technical-basic --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/technical-basic .opencode/skills/technical-basic && 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 "technical-basic" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/technical-basic into .opencode/skills/technical-basic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "technical-basic", 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
technical-basic- GitHub stars
- 35k
- Token cost
- ~492 tokens
- SKILL.md length
- 183 words
- Files
- 2
- Skills in repo
- 89
- Repo updated
- First seen
- Licence
- MIT
At a glance
Builds a composite trading signal from three groups of classic indicators (trend, mean reversion, volume) voting long, short or flat, in plain pandas for OHLCV data.
- Backtesting a trend plus mean-reversion strategy on OHLCV data
- SKILL.md covers Purpose, Signal Logic, Key Implementation Details and Parameters, plus 2 more sections
- Runs Python scripts from its folder; calls pip
- Combining EMA, ADX, RSI and OBV into a single long-short signal
What it does
This skill combines three groups of classic technical indicators into one signal engine: trend from fast and slow EMAs plus ADX, mean reversion from Bollinger Bands plus RSI, and volume confirmation from OBV and a volume ratio. A three-way vote sets the position. It goes long when the trend is up, RSI is not overbought and OBV is rising, short for the mirror image, and flat when the signals disagree.
Everything is plain pandas and works on any OHLCV data. RSI and ADX use Wilder exponential smoothing rather than a rolling mean, and OBV is a cumulative sum of signed volume. All parameters have defaults, such as EMA periods of 12 and 26, ADX and RSI periods of 14, a Bollinger window of 20 and RSI bounds of 30 and 70, and each can be overridden when the engine is created. An example signal engine is included, and signals are 1, -1 or 0.
When your agent uses it
- Backtesting a trend plus mean-reversion strategy on OHLCV data
- Combining EMA, ADX, RSI and OBV into a single long-short signal
- Tuning indicator periods and thresholds for a rule-based signal engine
Example prompts
- “Generate long and short signals from EMA, ADX, RSI and OBV for data/btc_daily.csv.”
- “Run the technical-basic strategy on my OHLCV file and widen the RSI oversold and overbought thresholds.”
- “Explain why the engine uses Wilder smoothing for RSI and ADX instead of a rolling mean.”
Requirements
- Python with `pandas`, `numpy` and `requests`
What it can do on your machine
Read from SKILL.md and the folder at commit 7f6908b. 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
Core Technical Indicator Signals loads about 492 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 183 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 7f6908b, republished under its MIT licence (© HKUDS). 183 words, ~492 tokens.
Download SKILL.mdSave it as
.claude/skills/technical-basic/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- technical-basic
- description
- Core technical indicator collection (trend EMA/ADX + mean-reversion BB/RSI + volume-price OBV/volume ratio), generates a composite signal via three-dimensional voting. Pure pandas implementation for any OHLCV data.
- category
- strategy
Core Technical Indicator Collection
Purpose
Combines three classic Western technical analysis approaches into one composite signal engine:
| Dimension | Indicators | Purpose |
|---|---|---|
| Trend | EMA(12/26) + ADX(14) | Determine direction and trend strength |
| Mean reversion | Bollinger Bands(20,2) + RSI(14) | Detect overbought and oversold conditions |
| Volume-price | OBV + volume ratio | Confirm volume participation |
Signal Logic
Three-dimensional voting mechanism:
- Long: trend is bullish + RSI is not overbought + OBV is rising
- Short: trend is bearish + RSI is not oversold + OBV is falling
- Stand aside: mixed signals
Key Implementation Details
- RSI and ADX use Wilder EWM (
ewm(alpha=1/period)), not a rolling mean - Full ADX chain: +DM/-DM → TR → +DI/-DI → DX → ADX
- OBV =
(volume * sign(close.diff())).cumsum()
Parameters
All parameters have default values and can be overridden at instantiation time:
| Parameter | Default | Description |
|---|---|---|
| ema_fast | 12 | Fast EMA period |
| ema_slow | 26 | Slow EMA period |
| adx_period | 14 | ADX calculation period |
| adx_threshold | 25.0 | ADX trend-strength threshold |
| bb_window | 20 | Bollinger Band window |
| bb_std | 2.0 | Bollinger Band standard deviation multiplier |
| rsi_period | 14 | RSI period |
| rsi_oversold | 30 | RSI oversold threshold |
| rsi_overbought | 70 | RSI overbought threshold |
| vol_ma_period | 20 | Volume moving-average period |
| obv_ma_period | 20 | OBV moving-average period |
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 1 other file in agent/src/skills/technical-basic of HKUDS/Vibe-Trading.
- SKILL.md
- example_signal_engine.py
Open the folder on GitHubat commit 7f6908b
Compare with similar skills
Core Technical Indicator Signals 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 |
|---|---|---|---|---|---|---|
| Core Technical Indicator Signals this skillHKUDS/Vibe-Trading | 35k | — | ~492 | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 318 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Quant Blog Writingzillionare/zillionare | 318 | — | ~895 | Automated safety check: Pass | None | |
| Vectorbtagiprolabs/claude-trading-skills | 410 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Quant Analystmajiayu000/claude-skill-registry | 666 | 1 repos | ~964 | Automated safety check: Pass | MIT | |
| Backtestinggauss314/skills | 245 | — | ~2.4k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Core Technical Indicator Signals
What does Core Technical Indicator Signals do?
Builds a composite trading signal from three groups of classic indicators (trend, mean reversion, volume) voting long, short or flat, in plain pandas for OHLCV data. This skill combines three groups of classic technical indicators into one signal engine: trend from fast and slow EMAs plus ADX, mean reversion from Bollinger Bands plus RSI, and volume confirmation from OBV and a volume ratio. A three-way vote sets the position.
When should I use Core Technical Indicator Signals?
Core Technical Indicator Signals fits situations like: backtesting a trend plus mean-reversion strategy on OHLCV data; combining EMA, ADX, RSI and OBV into a single long-short signal; tuning indicator periods and thresholds for a rule-based signal engine.
How do I install Core Technical Indicator Signals in Claude Code?
Run `npx skills add HKUDS/Vibe-Trading --skill technical-basic -a claude-code`. Or copy the skill folder (agent/src/skills/technical-basic in HKUDS/Vibe-Trading) into .claude/skills/technical-basic in your project. Claude Code loads it when a task matches its description.
How do I install Core Technical Indicator Signals in Codex?
Run `npx skills add HKUDS/Vibe-Trading --skill technical-basic -a codex`. Or copy the skill folder (agent/src/skills/technical-basic in HKUDS/Vibe-Trading) into .agents/skills/technical-basic in your project. Codex loads it when a task matches its description.
Can I use Core Technical Indicator Signals 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 technical-basic -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/technical-basic, .gemini/skills/technical-basic, .github/skills/technical-basic and .opencode/skills/technical-basic in your project.
What does Core Technical Indicator Signals need to run?
Going by SKILL.md and its folder, Core Technical Indicator Signals 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`.
Does Core Technical Indicator Signals 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 Core Technical Indicator Signals 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 Core Technical Indicator Signals use?
Core Technical Indicator Signals 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 Core Technical Indicator Signals use?
About 492 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Core Technical Indicator Signals?
Skills that share tags, products or a category with Core Technical Indicator Signals: Tushare Data (zillionare/zillionare, 318 stars), Quant Blog Writing (zillionare/zillionare, 318 stars), Vectorbt (agiprolabs/claude-trading-skills, 410 stars) and Quant Analyst (majiayu000/claude-skill-registry, 666 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Core Technical Indicator Signals?
HKUDS (a GitHub organization) maintains it in HKUDS/Vibe-Trading, which has 34,884 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 6, 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.