Repository
HKUDS/Vibe-Trading agent skills
- skills
- 89
- GitHub stars
- 35k
GitHub description: “"Vibe-Trading: Your Personal Trading Agent"”
- Stars
- 35,097 (5,697 forks)
- Licence
- MIT
- Last push
- Oct 2026
- Created
- Apr 2026
- Homepage
- vibetrading.wiki
- backtesting
- multi-agent
- quantitative-finance
- trading
- ai-agent
- algorithmic-trading
- fintech
- llm
- mcp
- python
Install all skills
npx skills add HKUDS/Vibe-TradingAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in HKUDS/Vibe-Trading, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Index of Eastmoney's free, no-token market data interfaces for China A-shares and Hong Kong stocks: fund flows, dragon-tiger lists, margin trading, reports and news. | HKUDS/ | 35k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 2 | Retrieves public OKX cryptocurrency market data such as spot prices, candlesticks, funding rates and open interest through the OKX V5 REST API, with no authentication. | HKUDS/ | 35k | — | ~1.3k | Automated safety check: Pass | MIT | yesterday |
| 3 | Fetches U.S. SEC EDGAR data: resolves tickers to CIK numbers, lists recent 10-K, 10-Q and 8-K filings with document URLs, and pulls XBRL financial series. | HKUDS/ | 35k | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 4 | Predicts whether a mainland China A-share company risks an ST or *ST warning after its next annual report, using financial thresholds and Sina penalty records. | HKUDS/ | 35k | — | ~4.9k | Automated safety check: Pass | MIT | yesterday |
| 5 | Breaks a structural trend such as AI infrastructure into its physical supply chain and ranks lesser-known listed companies sitting on each bottleneck. | HKUDS/ | 35k | — | ~2.7k | Automated safety check: Pass | MIT | yesterday |
| 6 | Plans and drafts an eight-part, roughly 120k-word investigative series on one company, built around a strict fact-check pass rather than fast drafting. | HKUDS/ | 35k | — | ~2.4k | Automated safety check: Pass | MIT | yesterday |
| 7 | Keeps a written investment thesis for each stock you hold and re-checks it every quarter against new earnings, scoring its health and recommending hold, add, trim or exit. | HKUDS/ | 35k | — | ~2.2k | Automated safety check: Pass | MIT | yesterday |
| 8 | Translates a Vibe-Trading backtest strategy into a runnable vnpy CtaTemplate Python class for A-share stocks, futures or crypto. | HKUDS/ | 35k | — | ~2.9k | Automated safety check: Pass | MIT | yesterday |
| 9 | Detects Chan theory price structures (fractals, strokes, pivots) and first, second and third buy and sell points from OHLCV bars using the czsc library, in Chinese. | HKUDS/ | 35k | — | ~658 | Automated safety check: Pass | MIT | yesterday |
| 10 | 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. | HKUDS/ | 35k | — | ~482 | Automated safety check: Pass | MIT | yesterday |
| 11 | Finds and calls paid market data capabilities through QVeris when free Vibe-Trading sources fall short, searching and inspecting before any paid execution. | HKUDS/ | 35k | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 12 | Guides an agent from an academic paper or research report to a backtested trading factor or strategy, then tracks it over time for performance decay. | HKUDS/ | 35k | — | ~3k | Automated safety check: Pass | MIT | yesterday |
| 13 | Pulls price history and company research data for US, Hong Kong and Canadian stocks, ETFs and indices from Yahoo Finance, with no API key. | HKUDS/ | 35k | — | ~2.2k | Automated safety check: Pass | MIT | yesterday |
| 14 | Finance research toolkit with backtesting, factor analysis, a library of prebuilt alphas, options pricing and a Shadow Account loop that tests rules extracted from your trade journal. | HKUDS/ | 35k | — | ~6.5k | Automated safety check: Pass | MIT | yesterday |
| 15 | Frameworks for comparing the A-share, H-share and US ADR prices of one Chinese company: AH premium, arbitrage signals, dual-listing valuation and delisting risk. | HKUDS/ | 35k | — | ~2.5k | Automated safety check: Pass | MIT | yesterday |
| 16 | Pulls free market data from the AKShare Python library: A-share, US and Hong Kong prices, futures, China macro series and forex, with notes on symbol formats and Chinese column names. | HKUDS/ | 35k | — | ~777 | Automated safety check: Pass | MIT | yesterday |
| 17 | Browses prebuilt cross-sectional factor libraries (Kakushadze 101, GTJA 191, Qlib 158, Fama-French and Carhart) and benchmarks whole libraries with IC and IR over a stock universe. | HKUDS/ | 35k | — | ~950 | Automated safety check: Pass | MIT | yesterday |
| 18 | Explains portfolio theory and the built-in optimizers: mean-variance (MPT), Black-Litterman, risk budgeting and all-weather allocation, plus rebalancing rules and config output. | HKUDS/ | 35k | — | ~2.9k | Automated safety check: Pass | MIT | yesterday |
| 19 | Turns behavioral-finance theory into trading signals and risk rules: overreaction and underreaction, momentum and reversal, sentiment extremes and a cognitive-bias checklist. | HKUDS/ | 35k | — | ~2.7k | Automated safety check: Pass | MIT | yesterday |
| 20 | Detects 15 classic candlestick patterns with vectorized pandas code and combines bullish and bearish scores into a long, short or flat trading signal. | HKUDS/ | 35k | — | ~468 | Automated safety check: Pass | MIT | yesterday |
| 21 | Fetches public crypto market data (candles, tickers, order books, trades) from 100+ exchanges through CCXT, and serves as the fallback when OKX is unavailable. | HKUDS/ | 35k | — | ~544 | Automated safety check: Pass | MIT | yesterday |
| 22 | Analyzes crude oil, gold and copper through supply-demand balance, pricing models, inventory cycles and futures structure, and outputs directional signals suitable for backtesting. | HKUDS/ | 35k | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 23 | Analyzes Chinese A-share convertible bonds with a three-part valuation, clause game analysis, the double-low strategy and a rotation framework for choosing bonds; instructions are in Chinese. | HKUDS/ | 35k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 24 | Builds event-driven analysis for A-share companies: merger arbitrage spreads, shareholder buying and selling signals, equity incentives, placements and ST or delisting warnings; Chinese text. | HKUDS/ | 35k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 25 | Covers bond pricing, credit ratings, default risk models (Altman Z-score, Merton, KMV), spread analysis and rate risk for fixed income work, with a focus on China's bond market; Chinese text. | HKUDS/ | 35k | — | ~4.8k | Automated safety check: Pass | MIT | yesterday |
| 26 | Guides writing signal_engine.py for backtests that mix markets such as A-shares, crypto, US equities and forex, with per-market parameters and volatility-adjusted weights. | HKUDS/ | 35k | — | ~983 | Automated safety check: Pass | MIT | yesterday |
| 27 | Covers three crypto-derivatives approaches: perpetual funding-rate arbitrage, futures term-structure trading in contango and backwardation, and options volatility and Greeks analysis. | HKUDS/ | 35k | — | ~2.4k | Automated safety check: Pass | MIT | yesterday |
| 28 | Compares DeFi yields across lending, liquidity provision, staking and yield farming, adjusts them for risks such as impermanent loss, and judges whether a protocol's returns are sustainable. | HKUDS/ | 35k | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 29 | Separates durable dividends from yield traps by checking yield quality, payout coverage, balance sheet strength, dividend history and valuation, with sector-specific payout measures. | HKUDS/ | 35k | — | ~2k | Automated safety check: Pass | MIT | yesterday |
| 30 | Reads PDF, Word, Excel, PowerPoint, image (OCR), CSV, text, config and source files through one read_document tool that returns extracted text in a uniform JSON envelope. | HKUDS/ | 35k | — | ~1.5k | Automated safety check: Notes | MIT | yesterday |
| 31 | Builds earnings forecasts and compares them with analyst consensus to find surprise trades, using top-down and bottom-up methods, SUE, post-announcement drift and revision momentum; Chinese text. | HKUDS/ | 35k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 32 | Tracks analyst estimate revisions, earnings surprises, management guidance and post-earnings drift for US and Hong Kong stocks, and turns them into long and short signals. | HKUDS/ | 35k | — | ~2.5k | Automated safety check: Pass | MIT | yesterday |
| 33 | Interprets US company filings from SEC EDGAR (10-K, 10-Q, 8-K, proxy statements, Form 4) to pull out financials, risk factors and investment signals. | HKUDS/ | 35k | — | ~3.1k | Automated safety check: Pass | MIT | yesterday |
| 34 | Framework for analyzing ETFs with emphasis on China's market: product types, tracking error, fees, premium and discount, liquidity, fund size and picking among ETFs on one index; Chinese text. | HKUDS/ | 35k | — | ~4.8k | Automated safety check: Pass | MIT | yesterday |
| 35 | Scores news, announcements and macro events with the LLM, stores them in an event CSV and blends the decaying event signal with technical signals in signal_engine.py. | HKUDS/ | 35k | — | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 36 | Adds realistic execution assumptions to backtests: fixed, linear and square-root slippage, delayed fills, VWAP and TWAP logic and market-impact cost estimates; never for live orders. | HKUDS/ | 35k | — | ~2.9k | Automated safety check: Pass | MIT | yesterday |
| 37 | Evaluates factors across many instruments with IC and IR statistics and quantile backtests, then guides screening and weighting; uses the factor_analysis tool with factor and return CSVs. | HKUDS/ | 35k | — | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 38 | Reads the income statement, balance sheet and cash flow statement together to judge earnings quality, apply DuPont analysis and check 12 red-flag indicators for manipulation; Chinese text. | HKUDS/ | 35k | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
| 39 | Evaluates mutual funds, private funds and ETFs by return, risk and risk-adjusted metrics, style box and drift, and manager quality, then builds FOF portfolios; Chinese text. | HKUDS/ | 35k | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
| 40 | Builds value or growth stock screens from PE, PB, ROE and financial statement fields for backtests, using tushare data for A-shares and yfinance for Hong Kong and US stocks. | HKUDS/ | 35k | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 41 | Framework for central bank policy, exchange rate forecasting, geopolitical risk and capital flows that produces macro factor signals to guide cross-asset allocation. | HKUDS/ | 35k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 42 | Harmonic Patterns signal engine. Identifies XABCD five-point structures such as Gartley/Bat/Butterfly/Crab based on Fibonacci geometry, and… | HKUDS/ | 35k | — | ~355 | Automated safety check: Pass | MIT | yesterday |
| 43 | Designs hedging plans for existing positions with futures, ETFs and options, covering beta hedges, protective puts, collars, tail risk and cross-asset hedges, with hedge ratios and cost estimates. | HKUDS/ | 35k | — | ~2.7k | Automated safety check: Pass | MIT | yesterday |
| 44 | Analyzes Northbound and Southbound Stock Connect flows between the mainland and Hong Kong, including quota use, sector allocation shifts and cross-border arbitrage signals. | HKUDS/ | 35k | — | ~2.8k | Automated safety check: Pass | MIT | yesterday |
| 45 | Generates trading signals from the Ichimoku five-line system using Tenkan and Kijun crossovers, cloud position and cloud direction, implemented in pandas. | HKUDS/ | 35k | — | ~417 | Automated safety check: Pass | MIT | yesterday |
| 46 | Reads open-position data and liquidation heatmaps to find liquidation clusters, cascade risk and stop-hunt zones, and uses them as support and resistance signals. | HKUDS/ | 35k | — | ~3k | Automated safety check: Pass | MIT | yesterday |
| 47 | Reads GDP, inflation, PMI, rates and FX data plus central bank policy to place the economy in a cycle stage and derive major asset allocation tilts for China, the US and Europe. | HKUDS/ | 35k | — | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 48 | Assesses a company's management on integrity, ability, capital allocation and governance from public information, producing a weighted score and a final trust verdict. | HKUDS/ | 35k | — | ~2.2k | Automated safety check: Pass | MIT | yesterday |
Questions, answered from the data.
What is the best skill in HKUDS/Vibe-Trading?
Eastmoney Market Data from HKUDS/Vibe-Trading ranks first of the 89 skills in HKUDS/Vibe-Trading listed here, with the highest score: its repository has 35k GitHub stars, its SKILL.md loads about 1k tokens and it passes the automated safety check with no findings. Next come OKX Market Data and SEC EDGAR Filings Fetcher.
Are the skills in HKUDS/Vibe-Trading official?
None yet. All 89 skills in HKUDS/Vibe-Trading listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from HKUDS/Vibe-Trading?
Run npx skills add HKUDS/Vibe-Trading in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.