Vibe-Trading is a personal trading agent that gives an AI system tools for market analysis, algorithmic trading, backtesting, and related workflows. It is for users who want an agent to research and evaluate trading strategies or manage simulated and other trading activities. The catalogue contains skills that expose these trading capabilities to compatible agents.
A market-sentiment analysis framework that measures whether investors appear fearful or greedy. It combines indicators such as volatility, price momentum, options activity, leveraged money, foreign flows, and social-media discussion.
A trading workflow that learns plain-language patterns from a user's completed trades, then tests those patterns across Chinese, Hong Kong, US, and crypto markets. It can explain differences in results and create an HTML or PDF report.
Smart Money Concepts (ICT) signal engine. Uses the smartmoneyconcepts library to implement institutional-trading-school analysis of BOS, ChoCH, FVG, and order blocks (OB).
Strategy Development Manager: convert academic papers and research reports into validated factors and strategies with automated backtesting, persistent storage, and decay monitoring.
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 scenario tags; reports evidence freshness on every returned row and rebuilds the disposable evidence cache from local backtest runs.
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 implementation for any OHLCV data.
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-check it each quarter against new earnings/events. Scores thesis health 1-10 from assumption breakage and red-line triggers, and recommends…
A trade-journal analyzer for CSV or Excel broker exports. It summarizes trading results and looks for four common behavior patterns: selling winners too early, trading too often, chasing momentum, and relying too heavily on an earlier price.
A Python interface for Tushare, a financial data service that provides market and company information for stocks, funds, futures, and digital assets. It returns queried data as pandas tables.
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 momentum.
Export a Vibe-Trading backtest strategy to a runnable vnpy CtaTemplate Python class — supports A-share equities, futures, and crypto via BarGenerator + ArrayManager.
Read web pages, articles, and document links by converting URLs into Markdown text. Use the readurl tool directly, without bash. Sends the full URL to the third-party Jina Reader (r.jina.ai).
Skill "yfinance" from HKUDS/Vibe-Trading, covering yfinance, deep yahoo interfaces (references/), quick start, ticker format conversion and supported data types.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: