Step-by-step guide to deploying OpenClaw + Qveris, achieving 24-hour analysis of US, Hong Kong, and A-shares at zero cost

Recently, CRCL in the US stock market suddenly surged strongly. Many people want to dig into the reasons, but are stuck due to lack of good data sources.

Reliable stock APIs on the market generally require monthly subscriptions, ranging from dozens to hundreds of dollars, which can be quite painful for individual traders, as data costs often become a major expense.

Today, I share a practical low-threshold method tested in real use: using the open-source framework OpenClaw, after integrating the qveris-official skill package, you can directly get free credits (Credits) provided by it. No need to bind a card, and it’s sufficient for daily market watching, dashboard building, and backtesting.

🛠️** Detailed Deployment and Configuration Steps**

Step 1: Deploy OpenClaw

First, complete the basic deployment of OpenClaw.

Step 2: Download qveris-official Skill Package (Three options)

Option 1: Local download and install (recommended to avoid rate limits)

Manually download the qveris-official ZIP package to your local machine.

Send the compressed file directly to the OpenClaw chat window, and the system will read and install it automatically.

Option 2: Command-line installation

If you have a good network environment, you can run the following command in the terminal for one-click installation: openclaw skills install qveris-official.

Option 3: In-chat installation

Simply type “Install qveris-official skill package” or “Add qveris plugin” in the OpenClaw chat window, and the system will attempt to fetch from the remote repository and automatically configure.

Step 3: Configure QVeris API Key

1. Visit qveris.ai, register, and obtain your exclusive API Key.
2. Enter a command in the chat window (e.g., “Configure qveris key: [your key]”) to let the system set it up directly.
3. When the system returns “QVeris API Key successfully configured ✅,” it indicates the API channel is officially connected.

🔥** Practical Applications and Advanced Operations**

Once configured successfully, you can ask questions directly in the chat window.

< Basic Market Data & Sentiment Analysis >

For example, you can input: “Check Nvidia stock price and provide analysis.” The system will retrieve market data and give a detailed response to assist with stock selection and trading. The returned info usually includes objective latest prices, daily fluctuations, recent trends, and market sentiment analysis.

< Advanced Trading & Automated Monitoring >

Beyond basic single-stock queries, the system supports more complex multi-dimensional analysis, automated monitoring, and scheduled tasks via natural language commands:

1. Market Overview & Structure Analysis

• Top Gainers/Losers: Input “Query top 10 A-shares by daily gain” or “Return top 3 stocks with the highest net fund inflow on the龙虎榜,” to quickly grasp market focus.
• Cross-market comparison: “Compare today’s performance of A-shares and US tech stocks, analyze their correlation, and generate investment insights.”

2. Deep Analysis of Stocks & Sectors

• Multi-factor stock analysis: “Analyze BYD (002594.SZ) over the past 30 days’ K-line data, volume changes, and key financial indicators to evaluate short-term trend.”
• Sector valuation comparison: “Retrieve the top 5 daily gainers in the new energy vehicle sector, compare their PE and PB ratios, and select 2 with relatively reasonable valuations.”

3. ** Scheduled Tasks & Risk Alerts**

The system supports creating background automation commands. For example:

• Frequent checks: “Create a scheduled task to scan and analyze stocks with abnormal daily fluctuations every 15 minutes, and send alerts.”
• Threshold alerts: “Monitor my holdings (e.g., 600036.SH, 002594.SZ, 00700.HK) in real-time, trigger alerts when intra-day gains or losses exceed 5%.”

🔄 Alternative Domestic Data Sources (Tushare / AkShare)

If the QVeris interface is unavailable due to network or quota issues, OpenClaw also supports quick integration with mainstream domestic free or open-source data sources, with highly similar configuration logic:

Option 1: Tushare (mainstream Chinese financial data community)

Tushare offers rich structured market data and info from major financial platforms (including Xueqiu, Yicai, Tonghuashun, Cailian Press, Wallstreetcn, etc.). After obtaining these textual data, you can set up AI analyst roles for deep news sentiment analysis.

• Setup steps: Register on Tushare’s official site (tushare.pro), complete real-name verification, and get your API Key.
• Component installation: run openclaw skills install tushare.
• Configure key: run openclaw config set env.TUSHARE_API_KEY “your Tushare API Key”.
• Test call: “Use Tushare to query the last 10 days’ daily data of 002594.SZ.”
• Note: Tushare’s free tier for new users has some rate limits (e.g., 1 call per minute for certain APIs). Check official documentation for details.

Option 2: AkShare (completely open-source and free)

If you prefer a fully open-source, no-API-key-required solution, use AkShare directly.

• Features: pure open-source project, no registration needed.
• Component installation: run openclaw skills install akshare.
• Test call: “Use AkShare to get real-time data for the pharmaceutical sector in A-shares.”

⚠️ Usage Notes & Risk Reminder

• Key security: Keep your API Key secure; do not share. Consider changing it periodically.
• Data compliance: Data is for personal research and analysis only. Do not use for commercial or illegal purposes.
• Investment risk: AI analysis results are for reference only and do not constitute investment advice. Market volatility is high; make trading decisions independently, and bear your own risks.

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