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HKUDS/Vibe-Trading
Skills
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| # | 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 |