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HKUDS/Vibe-Trading
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | Measures spreads, order-flow toxicity (VPIN, Kyle's lambda) and liquidity (Amihud, Roll) to improve cost estimates and execution, including China A-share auction and block trade mechanics. | HKUDS/ | 35k | — | ~3.1k | Automated safety check: Pass | MIT | yesterday |
| 50 | Fetches minute candlesticks from OKX, Tushare or yfinance, computes intraday VWAP, TWAP and volume distribution, and runs minute-level backtests by setting an interval in config.json. | HKUDS/ | 35k | — | ~868 | Automated safety check: Pass | MIT | yesterday |
| 51 | Trains scikit-learn models with walk-forward validation on features from OHLCV data to predict return direction and turn the predictions into trading signals. | HKUDS/ | 35k | — | ~3.2k | Automated safety check: Pass | MIT | yesterday |
| 52 | Pulls A-share price data from 通达信 (TDX) servers through the mootdx library over TCP, free and without an API key, as a stable fallback when akshare scraping is throttled. | HKUDS/ | 35k | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
| 53 | Ranks stocks by standardized factor scores (momentum, reversal, volatility, volume and valuation) and builds an equal-weight TopN portfolio with periodic rebalancing. | HKUDS/ | 35k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 54 | Reads public blockchain data (active addresses, whale activity, TVL, DEX liquidity) and valuation metrics such as MVRV, NVT and SOPR to interpret conditions and generate signals. | HKUDS/ | 35k | — | ~2.5k | Automated safety check: Pass | MIT | yesterday |
| 55 | Covers volatility-surface modeling (SABR, local volatility), dynamic Greeks management, calendar spreads, skew and volatility arbitrage, and market-making basics for options. | HKUDS/ | 35k | — | ~2k | Automated safety check: Pass | MIT | yesterday |
| 56 | Backtests multi-leg option strategies by synthesizing Black-Scholes prices from the underlying, simulating PnL, Greeks exposure and expiration for crypto and equity options. | HKUDS/ | 35k | — | ~2k | Automated safety check: Pass | MIT | yesterday |
| 57 | Trades mean reversion between two correlated instruments using the Z-score of their price ratio, going long one leg and short the other when the ratio stretches. | HKUDS/ | 35k | — | ~651 | Automated safety check: Pass | MIT | yesterday |
| 58 | Explains why a portfolio beat or lagged its benchmark with Brinson sector attribution, factor alpha and beta decomposition, timing evaluation and benchmark comparison. | HKUDS/ | 35k | — | ~3.1k | Automated safety check: Pass | MIT | yesterday |
| 59 | Analyzes perpetual futures funding rates and spot-futures basis to find carry trades, crowded positioning and sentiment signals, including funding arbitrage between exchanges. | HKUDS/ | 35k | — | ~2.7k | Automated safety check: Pass | MIT | yesterday |
| 60 | Translates a Python backtest strategy or a plain description into Pine Script v6, TDX formulas and MQL5 code for TradingView, Chinese broker terminals and MetaTrader 5. | HKUDS/ | 35k | — | ~3.8k | Automated safety check: Pass | MIT | yesterday |
| 61 | Runs a six-lens research framework on pre-IPO and private companies, labels every data point by confidence, and produces a fair-value range, exit-path analysis and information-gap map. | HKUDS/ | 35k | — | ~3.5k | Automated safety check: Pass | MIT | yesterday |
| 62 | Guides your agent through unit-root, cointegration, GARCH, bootstrap and regression-diagnostic tests on financial time series, using a tested helper module. | HKUDS/ | 35k | — | ~4k | Automated safety check: Pass | MIT | yesterday |
| 63 | Reference of market rules for quant strategies: A-share price limits and T+1, Hong Kong and US trading rules, crypto policy and cross-border tax basics. | HKUDS/ | 35k | — | ~1.3k | Automated safety check: Pass | MIT | yesterday |
| 64 | Measures portfolio and backtest risk with VaR, CVaR, maximum drawdown, Monte Carlo simulation, tail modeling and stress tests, using one tested risk module. | HKUDS/ | 35k | — | ~3.8k | Automated safety check: Pass | MIT | yesterday |
| 65 | Generates long, short or flat trading signals from calendar patterns such as month-of-year and day-of-week effects, for any OHLCV price data. | HKUDS/ | 35k | — | ~573 | Automated safety check: Pass | MIT | yesterday |
| 66 | A-share sector rotation workflow in Chinese: scores Shenwan industries on prosperity, ranks momentum and compares valuation, earnings and fund flows. | HKUDS/ | 35k | — | ~965 | Automated safety check: Pass | MIT | yesterday |
| 67 | Turns market mood into numbers: fear-and-greed gauges, put-call ratio, margin financing, northbound flows and social media chatter, combined into one score. | HKUDS/ | 35k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 68 | Learns profit patterns from your own trade journal, backtests them across A-share, Hong Kong, US and crypto markets, and explains the gap against real results. | HKUDS/ | 35k | — | ~567 | Automated safety check: Pass | MIT | yesterday |
| 69 | Signal engine for Smart Money Concepts trading that reads structure breaks, fair value gaps and order blocks to output long, short or flat signals. | HKUDS/ | 35k | — | ~356 | Automated safety check: Pass | MIT | yesterday |
| 70 | Reads crypto market liquidity from stablecoin supply changes, USDT and USDC mint and burn events, exchange reserves and velocity, to time capital rotation. | HKUDS/ | 35k | — | ~2.5k | Automated safety check: Pass | MIT | yesterday |
| 71 | Answers which trading strategies exist and what state they are in, with per-regime backtest evidence and a freshness report on every row. | HKUDS/ | 35k | — | ~4.8k | Automated safety check: Pass | MIT | yesterday |
| 72 | Takes a trading idea from request to backtest: pins down instruments and dates, writes config.json and a signal engine, runs the backtest and iterates on the metrics. | HKUDS/ | 35k | — | ~4.2k | Automated safety check: Pass | MIT | yesterday |
| 73 | 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. | HKUDS/ | 35k | — | ~492 | Automated safety check: Pass | MIT | yesterday |
| 74 | Analyzes token vesting and unlock schedules plus project treasury holdings to estimate sell pressure around cliff and linear releases. | HKUDS/ | 35k | — | ~2.8k | Automated safety check: Pass | MIT | yesterday |
| 75 | Reads a broker export of your trades (CSV or Excel), builds a trading profile and runs four behavior checks: disposition effect, overtrading, chasing and anchoring. | HKUDS/ | 35k | — | ~1.8k | Automated safety check: Pass | MIT | yesterday |
| 76 | Tracks institutional money through US ETF creations and redemptions, sector breadth and style flows to read risk appetite and sector rotation. | HKUDS/ | 35k | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 77 | Walks through company valuation with DCF, dividend discount and sum-of-the-parts models, relative multiples, sensitivity tables and a valuation-trap checklist. | HKUDS/ | 35k | — | ~2.2k | Automated safety check: Pass | MIT | yesterday |
| 78 | Mean-reversion signal engine that ranks historical volatility against its own recent history, going long in quiet regimes and exiting or shorting when volatility is high. | HKUDS/ | 35k | — | ~528 | Automated safety check: Pass | MIT | yesterday |
| 79 | Converts web pages, articles and documentation links into clean Markdown through the read_url tool, which sends the full URL to the third-party Jina Reader service. | HKUDS/ | 35k | — | ~627 | Automated safety check: Pass | MIT | yesterday |
| 80 | Named investor reasoning frameworks packaged as reusable analytical lenses — 12 lenses (deep value, quality franchise, inversion, scuttlebutt growth, GARP, cycle positioning, debt cycle, forensic… | HKUDS/ | 35k | — | ~2.4k | Automated safety check: Pass | MIT | yesterday |
| 81 | Finds co-moving assets and tests them for cointegration, with workflows for correlation studies, sector clustering, hedge ratios and pair-trading signals. | HKUDS/ | 35k | — | ~10k | Automated safety check: Pass | MIT | yesterday |
| 82 | Detects when markets fuse into one correlated bloc, adds regime context to risk, and attributes crises to first movers, as monitoring tools rather than trade signals. | HKUDS/ | 35k | — | ~5.4k | Automated safety check: Pass | MIT | yesterday |
| 83 | Quantifies geopolitical risk signals and crisis precursors, and maps war, sanctions and supply-disruption scenarios to multi-asset allocation ideas. | HKUDS/ | 35k | — | ~7.8k | Automated safety check: Pass | MIT | yesterday |
| 84 | Option P&L analysis methodology: payoff diagrams, breakeven calculation, multi-leg strategy visualization, and Greeks-based scenario analysis. | HKUDS/ | 35k | — | ~6.8k | Automated safety check: Pass | MIT | yesterday |
| 85 | Social media intelligence: financial signal extraction from Twitter/X, Telegram, Discord, and Reddit for sentiment-driven trading strategies. | HKUDS/ | 35k | — | ~10k | Automated safety check: Notes | MIT | yesterday |
| 86 | Finds why a trading backtest crashed or gave odd results, sorts the cause into a runtime, logic or data error, fixes the code and checks the rerun metrics. | HKUDS/ | 35k | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
| 87 | Maps backtest data sources and research data needs to the right provider or tool, with each one's markets, required environment keys and network constraints. | HKUDS/ | 35k | — | ~2.4k | Automated safety check: Pass | MIT | yesterday |
| 88 | A short checklist to read at the start of stock screens, sector studies and company deep-dives that counters leader, English-language, narrative, confirmation and recency bias. | HKUDS/ | 35k | — | ~720 | Automated safety check: Pass | MIT | yesterday |
| 89 | Runs multi-step finance research as a tracked goal with acceptance criteria and linked evidence, strictly for research and never for placing trades. | HKUDS/ | 35k | — | ~813 | Automated safety check: Pass | MIT | yesterday |
