Stock Quick Quote
Get real-time global stock prices, changes, and volume in seconds to power your investment decisions.
What Is Stock Quick Quote?
Stock Quick Quote is an automated financial market intelligence, quantitative strategy, and portfolio research skill on EasyClaw. Designed specifically for active retail investors, fund researchers, and quantitative analysts, it integrates with live financial market APIs (including Eastmoney and Futu OpenD) to let you query stock quotes, calculate key financial ratios, manage watchlists, and run simulated paper-trading portfolios.
The skill is built for equity research teams compiling corporate filings, quantitative developers retrieving historical datasets, and day-traders monitoring real-time market spreads headlessly.
The expected outcome is rapid, high-fidelity market and corporate intelligence: structured stock price snapshots, detailed financial performance matrices, and verified paper-trading portfolio logs compiled locally inside your workspace.
How Stock Quick Quote Works
1. Verify API connectivity and database. The skill connects to live financial database endpoints or local gateway applications (such as FutuOpenD) securely over encrypted HTTPS/TCP links.
2. Real-time quote and snapshot query. For market data, the skill queries live endpoints, retrieving real-time stock prices, change percentages, day highs, day lows, and trading volumes.
3. Advanced financial ratio calculation. For fundamental analysis, it pulls current balance sheets and income statements, calculating critical metrics (P/E, P/B, ROE, debt-to-equity ratio) and comparing them to sector averages.
4. Multi-metric stock screening. It executes real-time stock screening: filtering the market based on specific metrics you provide (such as price changes, P/E ratios, or sector volumes) and returning a clean, ranked data table.
5. Secure paper-trading simulation. For virtual transaction requests, the skill logs mock buy and sell orders, calculates virtual commissions, tracks asset ratios, and updates your local paper-portfolio log database.
Key Features
- Real-time stock quotes: Retrieve instant, un-delayed prices, change percentages, and market caps.
- Advanced financial audits: Computes critical corporate indicators (P/E, P/B, ROE) per stock ticker.
- Simulated paper trading: Log virtual orders, track holdings, and calculate net portfolio ROI locally.
- Sector comparison grids: Compare individual stock metrics against sector medians side-by-side.
- Watchlist real-time monitor: Tracks price changes and quotes for your customized watchlist headlessly.
- Direct CSV/JSON export: Automatically writes clean, structured financial datasets to your workspace.
What Problems Does Stock Quick Quote Solve?
1. Running a paper trading session to test market strategies
Testing technical signals or breakout indicators with real capital is expensive. When executing tasks like:
*"Use Stock Quick Quote to optimize your workflow."*
the simulator validates the stock ticker, checks your virtual cash balance, logs the transaction in your local portfolio database, and confirms the buy/sell execution with zero financial risk.
2. Reviewing a stock's key financial ratios
An investor is analyzing a major stock and wants a quick fundamental health check. The skill retrieves the latest quarterly earnings reports: calculating their current P/E, P/B, and ROE, and compares them side-by-side with the sector's median valuation, flagging whether the stock is currently undervalued or premium-priced.
3. Screening top gainer stocks by sector
An investor wants to find technically strong stocks in a specific sector. The skill scans the active market, parses the parameters, and returns a neat, formatted table of the top 10 matching equities, allowing the trader to plan their daily trades.
4. Monitoring a personal watchlist during market hours
An investor wants to keep an eye on 5 specific holdings without keeping a brokerage app open on their screen. The skill queries the endpoints at set intervals, outputting a clean price quote snapshot and sending immediate warnings if any stock rises or drops by more than 3%.
5. Compiling daily portfolio performance logs
At market close, a researcher wants a summary of their paper-trading performance. The skill scans their local virtual holdings, pulls live closing quotes, computes day gains, total ROI, and asset allocations, exporting a clean, client-ready CSV performance report.
Example Workflow
An investor wants to screen stocks and execute a mock limit order to test a market strategy.
1. They open EasyClaw and activate Stock Quick Quote.
2. They run: *"Use Stock Quick Quote to optimize your workflow."*
3. The skill queries the financial database, applies the filters, and returns the matching data table.
4. It logs the simulated trade under `public/data/portfolio/paper_trades.json` with status "Executed."
5. It outputs the updated portfolio holdings and cash balances in the conversation.
Simulated market transactions logged and tracked headlessly in under 40 seconds.
Getting Started with Stock Quick Quote
Benefits of Using Stock Quick Quote
De-risks trading strategies via simulation. Testing new investment hypotheses or technical indicators with real capital is expensive. The built-in paper trading engine lets you log mock transactions, track holdings, and calculate ROI with zero financial risk.
Saves massive financial research time. Finding research data, compiling stock watchlists, and calculating daily portfolio returns manually is slow. This skill automates the data extraction and reporting steps, returning clean briefs instantly.
Bypasses heavy, slow trading terminals. Commercial trading applications are resource-heavy and feature cluttered, ad-heavy interfaces. This skill provides direct, ad-free, and text-based query workflows that keep your data workspace clean.
Secure, private portfolio tracking. Your simulated portfolios, watchlists, and trade histories contain private financial data. This skill executes all portfolio logging and data calculations locally on your machine, preventing external data sharing.
No-code financial assistant. Bypasses the need to write complex Python API wrappers. The natural-language conversational setup makes advanced financial market research and portfolio simulation simple and accessible.
Best Practices
- Use absolute, 6-digit stock tickers. Entering the exact 6-digit stock ticker (e.g., `600519` for Shanghai or `00700` for Hong Kong) guarantees immediate, error-free transaction logging and quote lookups.
- Verify financial metrics against local audit filings. The skill compiles data from active financial feeds. For high-stakes investment or legal decisions, cross-reference the extracted ratios with the company's official, signed PDF annual reports.
- Prioritize low-debt, high-ROE stocks. When screening for fundamental investments, prioritize companies with high Return on Equity (ROE > 15%) and low debt-to-equity ratios to identify highly stable, profitable businesses.
- Run corporate scans during off-market hours. Real-time market feeds can fluctuate during active trading hours (9:30 AM – 3:00 PM CST). Running your deep-dive financial and shareholder reviews in the evening ensures you read from stable, finalized closing data.
- Combine with Chart Image Generator. Use the chart generator skill to convert your compiled historical K-lines, financial metrics, and comparison tables into beautiful, publication-ready visual charts instantly.
Core Features
Live Price Fetch
Returns current price, change %, and volume in seconds.
Multi-Market Coverage
Supports US, A-shares, HK stocks, and ETFs.
Zero Config
No API key needed—works out of the box.
Clean Output
Single-line text ready to copy and share.
Frequently Asked Questions
Do I need a live brokerage account to run paper trading?
No. The paper trading feature is a local simulation. It calculates transactions, commissions, and holdings mathematically based on the live stock quotes retrieved from public databases, requiring no actual brokerage capital.
Are my paper-trading logs archived locally?
Yes. All simulated buy and sell transactions, stock holdings, and performance metrics are written directly as clean, structured JSON and CSV files under `public/data/portfolio/` in your local workspace.
What exchanges and markets are supported?
The skill covers all major Chinese and international markets, including Shanghai Stock Exchange (SSE), Shenzhen Stock Exchange (SZSE), and Beijing Stock Exchange (BSE), including ChiNext and STAR markets.
What order types are supported in the simulator?
The paper trading engine supports standard Market Orders (executed immediately at the current market price) and Limit Orders (pending execution until the stock's market price reaches your specified target price).
What is the "unstructured profile resolution" rule?
If you request an audit without providing a company name or ticker, the skill's context logic will politely prompt you for the specific ticker ID or company name to prevent duplicate or failed queries.
Can I screen stocks by dividend yields?
Yes. You can specify: "screen for stocks with a dividend yield above 4.5% and cash flow positive," and the engine will calculate and filter the market based on yield metrics.
Can I export my holding report to Google Sheets?
Yes. The skill automatically writes your active holdings and historical trades to standard CSV files, which you can easily upload to Google Drive and open in Google Sheets.
Is my private investment data safe?
Yes. All market queries, portfolio calculations, and file writes are executed entirely locally on your machine over secure, encrypted links, keeping your trade histories and watchlists confidential.
Can I schedule repeating watchlist scans?
Yes. You can pair this skill with a local background scheduler to automate repeating quote scans, such as "pull watchlist quotes every 15 minutes during active market hours."
Does the simulator calculate transaction commissions and taxes?
Yes. The paper trading engine calculates simulated transaction commissions (e.g., 0.03%), stamp taxes (0.05% on sales), and transfer fees based on standard brokerage schedules, ensuring realistic net ROI metrics.
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