HKUDS/Vibe-Trading
Agent skills in the GitHub repository HKUDS/Vibe-Trading, each with its code score out of 100.
"Vibe-Trading: Your Personal Trading Agent"
- Repository score
- 61 / 100 C
- Skills
- 90
- Verified
- 2
- Average skill score
- 53
- GitHub stars
- 38,088
- License
- MIT
Open HKUDS/Vibe-Trading on GitHub
90 skills in this repository
-
deep-company-series
Write a publication-grade 8-part deep-dive series on a single company (~120k words total): cognitive reset / moat / profit engine / hidden assets / era variable (e.g. AI) / financ…
Verified83B -
bottleneck-hunter
Supply-chain bottleneck arbitrage. Given a super-trend (AI infra, energy transition, defense, semiconductor reshoring, space economy), decompose its physical supply chain down to…
Verified80B -
backtest-diagnose
Diagnose failed or underperforming backtests, locate the root cause, and fix the issue
74B -
strategy-generate
Create, modify, and optimize quantitative trading strategies, then backtest and evaluate them.
74B -
research-discipline
A short self-bias checklist to run at the START of any investment research task (stock screen / sector study / company deep-dive). Four biases that systematically warp AI research…
73B -
data-routing
The single ROUTER for every data need. Load this skill BEFORE any backtest, data-fetch, or research task to pick the best available source/tool, honour auth (env) requirements, an…
71B -
private-company-research
Deep research framework for pre-IPO / private companies (Ant Group, SpaceX, Stripe, ByteDance...). Six analyst lenses — business model, financial forensics, competitive landscape,…
70B -
strategy-dev-manager
Strategy Development Manager: convert academic papers and research reports into validated factors and strategies with automated backtesting, persistent storage, and decay monitori…
70B -
management-deep-dive
Deep management assessment — the 'buying a stock is buying a person' layer. For a company or a named executive, evaluate integrity (promise-vs-delivery tracking, crisis behavior,…
69C -
vnpy-export
Export a Vibe-Trading backtest strategy to a runnable vnpy CtaTemplate Python class — supports A-share equities, futures, and crypto via BarGenerator + ArrayManager.
68C -
dividend-analysis
Dividend stock analysis for income, dividend-growth, and shareholder-return strategies, including yield quality, payout sustainability, ex-dividend mechanics, and yield-trap check…
67C -
pine-script
Export backtest strategies to indicator/strategy code for major trading platforms — TradingView, 通达信, 同花顺, 东方财富, MT5.
65C -
multi-factor
Multi-factor cross-sectional stock ranking. Combines factor standardization, equal-weight or IC-weighted scoring, and TopN portfolio construction. Suitable for multi-instrument po…
64C -
trade-journal
Analyze a user's trade journal (CSV/Excel broker export). Parses 同花顺/东方财富/富途/generic formats, produces a trading profile and 4 behavior diagnostics (disposition effect, overtradin…
61C -
valuation-model
Valuation methodology — absolute valuation with DCF / DDM / SOTP, relative valuation with PE-Band / PB-ROE / EV-EBITDA, sensitivity analysis, and valuation-trap detection.
61C -
thesis-tracker
Buy-side discipline system. For each holding, maintain a written investment thesis — core thesis in 5 sentences, falsifiable assumptions, red lines, valuation anchors — and re-che…
60C -
doc-reader
Read any common document/data file — PDF, Word (.docx), Excel (.xlsx/.xls), PowerPoint (.pptx), images (OCR), CSV/TSV, plain text, JSON/YAML/TOML, HTML/XML, and most source-code f…
59C -
research-goal
Goal-driven finance research workflow: attach a research-only objective, track criteria, and add evidence while avoiding live trading execution.
59C -
factor-research
Factor research framework with IC/IR analysis, quantile backtesting, and factor combination. Suitable for cross-sectional factor evaluation across multiple instruments.
58C -
ml-strategy
Machine-learning predictive strategy based on sklearn walk-forward training, feature engineering, and signal generation. Suitable for any OHLCV data.
58C -
cross-market-strategy
Write signal_engine.py for portfolios spanning multiple markets (A-shares + crypto, equity + forex, etc.)
57C -
edgar-sec-filings
SEC EDGAR filing analysis — 10-K, 10-Q, 8-K, proxy statements, insider Form 4. Extract key financials, risk factors, management discussion, and generate investment signals from US…
57C -
global-macro
Global macro analysis framework (central bank policy transmission / FX forecasting / geopolitical risk / capital flows), used to build macro factor signals that drive cross-asset…
57C -
macro-analysis
Macroeconomic cycle positioning and central-bank policy interpretation, including GDP/CPI/PMI/rates/FX analysis, with output in the form of major-asset allocation tilts.
57C -
web-reader
Read web pages, articles, and document links by converting URLs into Markdown text. Use the `read_url` tool directly, without bash. Sends the full URL to the third-party Jina Read…
57C -
asset-allocation
Asset allocation theory and optimizer usage — MPT / Black-Litterman / risk budgeting / all-weather strategy, including guides for 5 optimizers and rebalancing rules.
56C -
behavioral-finance
Behavioral finance applications: theories of overreaction and underreaction, behavioral explanations for momentum and reversal, investor sentiment cycles, cognitive-bias checklist…
56C -
earnings-revision
Earnings estimate revisions, guidance analysis, and post-earnings drift (PEAD) — track analyst consensus changes, earnings surprise patterns, and management guidance shifts for US…
56C -
quant-statistics
Quantitative statistical methods: ADF unit-root / cointegration tests, GARCH volatility modeling, regression diagnostics (heteroskedasticity / autocorrelation), Bootstrap, and hyp…
55C -
shadow-account
Shadow Account — 从用户交割单提炼盈利模式(3-5 条人话规则)→ 跨 A股/港股/美股/crypto 多市场回测 → 差值归因 → 8-section PDF 报告。叙事:你的影子,没有情绪噪音。
55C -
alpha-zoo
Browse and bench the bundled alpha zoos — prebuilt cross-sectional factor libraries (Kakushadze 101, GTJA 191, Qlib 158, Fama-French / Carhart). Use when the user asks "which alph…
54D -
financial-statement
财报三表深度解读——三表勾稽关系、盈利质量(应计vs现金流)分析、杜邦分解、10+财务造假红旗指标
54D -
regulatory-knowledge
金融监管知识库:A股涨跌停/ST退市新规/融券、港股T+0/做空机制、美股PDT/熔断、加密监管政策、跨境税务基础
54D -
risk-analysis
Risk measurement and stress testing — VaR/CVaR/max drawdown calculation, Monte Carlo simulation, extreme-value tail-risk analysis, and historical scenario stress testing.
54D -
sentiment-analysis
市场情绪分析——恐贪指数/Put-Call Ratio/融资融券/北向资金信号解读、社交媒体舆情量化框架
54D -
strategy-discovery
Strategy Discovery: evidence-gated facade over Alpha Zoo + the SDM strategy store — answers what strategies exist and what state they are in, with per-regime evidence instead of s…
54D -
commodity-analysis
Commodity analysis (oil supply-demand balance / gold pricing / copper as an economic predictor / inventory cycles / futures premium-discount structure / seasonality), generating d…
53D -
elliott-wave
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,…
53D -
okx-market
OKX cryptocurrency market data interface. Uses the OKX V5 REST API to retrieve spot, derivatives, index, and other crypto market data, including real-time prices, candlesticks, fu…
53D -
volatility
Volatility strategy. Trades mean reversion based on percentile ranking of historical volatility (HV). Suitable for any OHLCV data.
53D -
ashare-pre-st-filter
A 股 ST/*ST 风险预测框架 — 基于最新中报/三季报或业绩预告/快报,预测下一财年是否会因营收、利润、净资产、分红不达标而被风险警示,并将新浪监管处罚记录作为独立证据面纳入风险等级。仅适用于 A 股,不预测财务造假。
52D -
convertible-bond
A股可转债分析——转股/纯债/期权三维估值、下修/强赎/回售博弈、双低策略与转债轮动选债框架
52D -
corporate-events
公司事件驱动分析:并购套利价差计算、大股东增减持信号、股权激励解读、定增配股影响评估、A股ST/退市预警
52D -
earnings-forecast
盈利预测与一致预期分析(自上而下/自下而上预测法/SUE/PEAD/分析师预期修正),捕捉业绩超预期交易机会。
52D -
fund-analysis
基金分析与筛选:晨星评级/夏普比率/信息比率、Sharpe风格箱分析、风格漂移检测、基金经理评价、FOF组合构建、ETF选择
52D -
report-generate
Professional financial research report generation — standard structure (summary / views / main body / risks / recommendation), Markdown formatting standards, rating system, and te…
52D -
sector-rotation
行业轮动分析——申万行业景气度评分、行业动量排名、产业链传导、估值/盈利/资金流多维比较框架
52D -
akshare
AKShare financial data aggregator (18k+ stars). Free, no API key. Covers A-shares, US, HK, futures, macro, forex. Primary fallback for tushare and yfinance.
51D -
ccxt
CCXT unified crypto exchange library (100+ exchanges). Free public market data. Fallback when OKX is unavailable.
51D -
investor-lenses
Named investor reasoning frameworks packaged as reusable analytical lenses — 12 lenses (deep value, quality franchise, inversion, scuttlebutt growth, GARP, cycle positioning, debt…
51D -
mootdx
Mootdx A-share market data via TCP-direct 通达信 servers. RETIRED 2026-10 — TDX servers stopped answering the client protocol, so this source is out of the automatic fallback chain a…
51D -
onchain-analysis
On-chain data analysis — active addresses / whale tracking / TVL / DEX liquidity, interpretation and signal generation using on-chain valuation metrics such as MVRV / NVT / SOPR.
51D -
options-advanced
Advanced options strategies: volatility-surface modeling (SABR / Local Vol), dynamic Greeks rebalancing, calendar spreads, volatility arbitrage and skew trading, and option market…
51D -
pair-trading
Pair trading strategy. Trades mean reversion using the spread/ratio Z-score of two correlated instruments. Requires at least two instruments.
51D -
adr-hshare
ADR/H-share/A-share cross-listing premium analysis — track pricing gaps between US-listed ADRs, HK-listed H-shares, and A-shares for arbitrage signals, dual-listing valuation, and…
50D -
correlation-regime
Correlation-regime detection and crisis attribution — edge-density regime states with hysteresis, causal (no look-ahead) smoothing, regime-aware exposure context, first-mover cris…
50D -
crypto-derivatives
Crypto-derivatives strategies — perpetual funding-rate arbitrage, futures term-structure contango/backwardation trading, and option volatility-smile / Greeks analysis.
50D -
defi-yield
DeFi yield analysis and optimization — lending rates, LP yields, staking returns, yield farming strategies, risk-adjusted yield comparison, and protocol-level sustainability asses…
50D -
hk-connect-flow
Stock Connect (Shanghai/Shenzhen-Hong Kong) fund flow analysis — Northbound (foreign into A-shares), Southbound (mainland into HK), sector allocation tracking, and cross-border ar…
50D -
execution-model
Trade execution modeling (backtest only) — slippage formulas (linear / square-root impact), VWAP/TWAP execution logic, market-impact cost estimation, and execution-assumption conf…
49D -
performance-attribution
Performance attribution analysis — Brinson sector/stock-selection attribution, factor alpha/beta decomposition, market-timing evaluation, and benchmark comparison framework.
49D -
token-unlock-treasury
Token unlock schedule analysis and project treasury tracking — vesting cliffs, linear unlocks, team/investor/ecosystem token releases, treasury diversification, and sell pressure…
49D -
hedging-strategy
Hedging strategy design (beta hedge / option protection / tail risk / cross-asset hedging), including hedge-ratio calculation and cost evaluation.
48D -
minute-analysis
Minute-level data analysis and backtesting. Retrieves minute candlesticks through OKX/Tushare/yfinance and can be used both for analysis and as input to the backtest engine.
48D -
perp-funding-basis
Perpetual futures funding rate analysis and cash-carry basis trading — funding rate regimes, annualized basis signals, carry trade construction, and funding rate arbitrage between…
48D -
seasonal
Seasonal/calendar-effect strategy. Generates trading signals from time-based patterns such as month-of-year effects and day-of-week effects. Suitable for any OHLCV data.
48D -
options-strategy
Options strategy framework supporting Black-Scholes pricing, Greeks analysis, and multi-leg backtesting. Suitable for cryptocurrency and equity options.
47D -
yfinance
yfinance global market data interface — retrieve OHLCV and research data for US, HK, and Canadian stocks, ETFs, and indices via Yahoo Finance. Free, no API key required.
47D -
event-driven
Event-driven strategy based on sentiment-scored signals from news, announcements, and macro events. The LLM acts as the NLP engine, and event data follows a CSV schema.
46D -
fundamental-filter
Fundamental factor screening — filter stocks by PE/PB/ROE, financial statement fields, and other metrics for value or growth selection. Supports A-shares (via tushare extra_fields…
46D -
tushare
tushare是一个财经数据接口包,拥有丰富的数据内容,如股票、基金、期货、数字货币等行情数据,公司财务、基金经理等基本面数据。该模块通过标准化API方式统一了数据资产的对外服务方式,以帮助有需要的技术用户更实时、简洁、轻量的使用相关数据。
46D -
credit-analysis
固收与信用分析:信用债评级、利差分析、违约风险评估、城投债研究、可转债定价与策略。
45D -
eastmoney
东方财富(Eastmoney)免费免鉴权数据接口,覆盖资金流向、龙虎榜、融资融券、大宗交易、股东户数、限售解禁、行业概念板块、券商研报、财经新闻、A股/港股三大报表+主要指标、全市场选股与代码搜索;美股财报由 get_financial_statements 转 SEC EDGAR。东财请求经共享 IP 限速层节流(东财按源 IP 限流并临时封禁突发请求)…
45D -
etf-analysis
ETF分析:产品筛选、费率对比、跟踪误差、流动性评估、策略应用与中国市场ETF量化配置框架。
45D -
geopolitical-risk
Geopolitical risk analysis: quantify crisis signals, identify precursors, and build event-driven strategies for war, sanctions, and supply disruption scenarios.
45D -
liquidation-heatmap
Liquidation level analysis and heatmap interpretation — identify leveraged position concentration, liquidation cascades, stop-hunt zones, and use liquidation data as support/resis…
45D -
market-microstructure
Market microstructure: bid-ask spread analysis, order-flow toxicity metrics (VPIN / Kyle lambda), liquidity measures (Amihud / Roll), price-impact models, limit-order-book analysi…
45D -
sec-edgar
U.S. SEC EDGAR fetch interface — resolve a ticker to its CIK, list recent filings (10-K / 10-Q / 8-K and friends) with primary-document URLs, and pull XBRL companyfacts financial…
45D -
social-media-intelligence
Social media intelligence: financial signal extraction from Twitter/X, Telegram, Discord, and Reddit for sentiment-driven trading strategies.
44D -
harmonic
Harmonic Patterns signal engine. Identifies XABCD five-point structures such as Gartley/Bat/Butterfly/Crab based on Fibonacci geometry, and generates trading signals in the PRZ (P…
43D -
options-payoff
Option P&L analysis methodology: payoff diagrams, breakeven calculation, multi-leg strategy visualization, and Greeks-based scenario analysis.
43D -
smc
Smart Money Concepts (ICT) signal engine. Uses the smartmoneyconcepts library to implement institutional-trading-school analysis of BOS, ChoCH, FVG, and order blocks (OB).
43D -
us-etf-flow
US ETF fund flow analysis, sector rotation breadth, and style factor flows — track institutional capital movement via ETF creation/redemption, sector breadth signals, and thematic…
43D -
correlation-analysis
Correlation and cointegration analysis — co-movement discovery, deep return-correlation analysis, sector clustering, realized correlation, Engle-Granger / Johansen cointegration,…
42D -
vibe-trading
Professional finance research toolkit — backtesting (12 engines + benchmark comparison panel), factor analysis, Alpha Zoo (478 pre-built alphas across qlib158/alpha101/gtja191/aca…
42D -
chanlun
基于缠论(缠中说禅)的形态识别引擎,使用czsc库自动检测K线分型、笔、中枢,并生成一买/一卖/二买/二卖/三买/三卖等买卖点信号。支持多周期分析和形态分类(3/5/7/9/11笔形态)。
41D -
candlestick
Candlestick pattern recognition engine, pure pandas vectorized implementation of 15 classic candlestick patterns (5 single-candle + 5 double-candle + 4 triple-candle + 1 trend con…
40D -
ichimoku
Ichimoku Kinko Hyo five-line system signal engine. A standalone Japanese technical-analysis school that generates trading signals from Tenkan/Kijun crossovers, cloud position, and…
40D -
stablecoin-flow
Stablecoin supply and flow analysis — USDT/USDC mint-burn signals, exchange stablecoin reserves, on-chain stablecoin velocity, and capital rotation indicators for crypto market ti…
40D -
technical-basic
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…
40D
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.