A unified data snapshot built with AkShare, a Python library for financial-market data. It combines stock details, major fund flows, related industry and concept rankings, market fund flows, and an overview of northbound investment flows.
A data contract for retrieving public posts from Eastmoney's Guba forums, Chinese investor discussion boards. It returns structured fields such as titles, text, views, replies, authors, and times for hot and recent posts.
A market-data tool that retrieves candlestick price data and calculates common technical indicators. Candlesticks record open, high, low, close, and trading volume; the indicators include moving averages, Bollinger Bands, and RSI.
A writing assistant for creating standard SKILL.md files, which are instruction files that tell an AI agent how to perform a specialist task. It organises an expert's method, inputs, missing-data rules, output format, and boundaries into the project's standard structure.
A financial-report analysis workflow that compares a company's income statement, balance sheet, and cash-flow statement to assess the quality of its profits and operations. It produces a structured signal, not investment advice.
A stock-market analysis tool that places an A-share stock into one of four states by comparing unusual main-fund buying or selling with how crowded that trade is.
An industry-analysis framework that studies where a company sits in its supply chain—from suppliers to producers to customers—and assesses the industry's current conditions, turning points, and life-cycle stage. It also classifies a stock as growth, cyclical, value, theme-based, or mixed.
A tracking workflow for the economic conditions of China and the United States and for six channels through which events in one country can affect the other. It uses indicators such as manufacturing surveys, inflation, interest rates, bond yields, currencies, employment, and consumer prices.
A macroeconomic cycle-positioning workflow that places China and the United States into one of four states—recovery, overheating, stagflation, or recession—using activity and inflation scores. It adds policy signals and long-term debt conditions to that picture.
A market-pricing analysis layer that infers what investors already expect from prices, interest rates, valuations, currencies, commodities, and credit spreads. A credit spread is the extra interest rate demanded for lending to a riskier borrower.
A market-analysis layer that checks how crowded a trading signal is, whether its analytical framework still fits, and what stage its underlying logic is in.
A signal engine that compares measured economic or business conditions with what financial markets appear to expect. It produces differences for growth, inflation, and cross-country comparisons such as China versus the United States.
An investment-allocation method that turns signals into portfolio weights using a stable base allocation and additional signal-driven adjustments. A portfolio weight is the share of the portfolio assigned to an asset.
An A-share industry sentiment tracker that scores how hot or cold a stock's industry is on a 0–100 scale. A-shares are shares listed on mainland Chinese stock exchanges.
A market-sentiment analysis workflow that looks for unusually widespread fear or excitement among investors. Market sentiment means the prevailing mood shown in social posts, news, search interest, and trading behaviour.
An A-share market sentiment tracker that combines market statistics and online community activity into a 0–100 temperature and one of six sentiment stages. It evaluates the overall market, including the Shanghai, Shenzhen, ChiNext, and STAR markets.
A market-signal arbitration method that chooses among bull, bear, and range-bound scenarios, then combines signals from seven expert groups using scenario-specific weights.
A rule set for an orchestrator that combines recommendations from several specialist agents into one stock-trading decision. It also checks whether those agents failed, timed out, or produced unusable results.
A research method for explaining how a company developed by following major decision points such as founding, acquisitions, financing, leadership changes, and product breakthroughs.
A stock-market analysis workflow that reads price data, runs four traditional technical-indicator models, and turns their combined JSON results into a Chinese report. It covers stocks, indexes, ETFs, and OHLCV CSV files, where OHLCV means opening, highest, lowest, closing prices and trading volume.
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: