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Data & Analytics · 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 | 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 |
| 5 | 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 |
| 6 | 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 |
| 7 | 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 |
| 8 | 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 |
| 9 | 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 |
| 10 | 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 |
| 11 | 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 |
| 12 | 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 |
| 13 | 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 |
| 14 | 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 |
| 15 | 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 |
| 16 | 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 |
| 17 | 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 |
| 18 | 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 |
| 19 | 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 |
| 20 | 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 |
| 21 | 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 |
| 22 | 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 |
| 23 | 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 |
| 24 | 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 |
| 25 | 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 |
| 26 | 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 |
| 27 | 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 |
| 28 | 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 |
| 29 | 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 |
| 30 | 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 |
| 31 | 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 |
| 32 | 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 |
| 33 | 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 |
| 34 | 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 |
| 35 | 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 |