OpenClaw Stock Trading Tutorial Collection: From Beginner to Automated Trading

This is the tutorial collection you bookmark and come back to. Whether you're setting up your first AI trading assistant or building a fully automated multi-strategy pipeline, each tutorial below builds on the previous one. Follow them in order, or jump to the section that matches your current skill level.

Tutorial 1: Setting Up Your Trading Infrastructure

Difficulty: Beginner | Time: 15 minutes

Every trading system needs a reliable foundation. For OpenClaw, that means a cloud server that runs 24/7 without babysitting.

Steps:

1. Head to the Tencent Cloud Lighthouse Special Offer and select an instance. For beginners, the entry-level tier handles a single-strategy setup comfortably.
2. Follow the one-click OpenClaw deployment guide to install and configure OpenClaw on your new instance.
3. Verify the deployment by accessing the OpenClaw web interface.
4. Secure your instance: change default passwords, enable firewall rules, and configure SSH key authentication.

What you'll have: A running OpenClaw agent on reliable cloud infrastructure, ready for trading skills.

Tutorial 2: Connecting Your First Messaging Channel

Difficulty: Beginner | Time: 10-20 minutes

Your agent needs a way to talk to you. Telegram is the recommended starting point for traders — it's fast, supports rich formatting, and works great on mobile.

Steps:

1. Follow the Telegram integration guide to create a bot and connect it to OpenClaw.
2. Send a test message to verify bidirectional communication.
3. Optionally, set up a second channel for redundancy — Discord for team collaboration or WhatsApp for mobile-first alerts.

What you'll have: A direct communication line between you and your trading agent, accessible from any device.

Tutorial 3: Installing Market Data Skills

Difficulty: Beginner | Time: 15 minutes

An agent without data is just a chatbot. The skill installation guide walks through the process of adding capabilities to your OpenClaw instance.

Steps:

1. Browse the skill marketplace for market data providers.
2. Install a price data skill that covers your target market (US equities, crypto, forex, etc.).
3. Configure your API key for the data provider.
4. Test by asking your agent for the current price of a stock: "What's the current price of AAPL?"

What you'll have: An agent that can pull real-time and historical market data on demand.

Tutorial 4: Building Your First Price Alert System

Difficulty: Beginner | Time: 20 minutes

Now let's make the agent actually useful. Price alerts are the simplest form of trading automation and the foundation everything else builds on.

Configuration approach:

Tell your agent what to watch:

"Monitor these stocks: AAPL, MSFT, NVDA, GOOGL, AMZN. Alert me immediately if any of them moves more than 3% from today's open."

The agent will:

• Pull opening prices at market open.
• Check current prices at regular intervals (configurable — every 5, 15, or 30 minutes).
• Send you a Telegram alert when any stock crosses the 3% threshold.

Enhancements to try:

• Add volume conditions: "Only alert if volume is above the 20-day average."
• Add directional filters: "Only alert on drops, not rises."
• Add time filters: "Only during the first and last hour of trading."

Tutorial 5: Technical Indicator Screening

Difficulty: Intermediate | Time: 30 minutes

Move beyond price alerts to systematic technical screening.

Example: Oversold Bounce Screen

Configure your agent to run this screen daily at market close:

"Screen all S&P 500 stocks. Find stocks where RSI(14) is below 30, the price is above the 200-day SMA, and today's volume is at least 1.5x the 20-day average. Send results to my Telegram."

Example: Momentum Breakout Screen

"Find stocks making new 52-week highs with volume at least 2x the 20-day average. Exclude stocks with market cap below $1 billion."

Key learning: At this stage, you're defining systematic rules that the agent applies consistently. No more "I felt like the chart looked good" — every signal has a quantifiable basis.

Tutorial 6: Building a Multi-Indicator Strategy

Difficulty: Intermediate | Time: 45 minutes

Combine multiple indicators into a composite signal.

Example: Trend-Following Entry System

Define a scoring system:

• Price above 50-day EMA: +1 point
• Price above 200-day SMA: +1 point
• RSI(14) between 40 and 70: +1 point
• MACD histogram positive and rising: +1 point
• Volume above 20-day average: +1 point

Signal rule: Alert when a stock scores 4 or 5 out of 5.

Configure your agent to calculate this composite score for your watchlist daily and rank stocks by score. Push the ranked list to Discord for team review or Telegram for personal use.

Tutorial 7: Risk Management Automation

Difficulty: Advanced | Time: 30 minutes

Good entries with bad risk management still lose money. Automate the risk calculations.

Position Sizing:

"For each trade signal, calculate the recommended position size based on: account size $50,000, maximum risk per trade 1.5%, and stop-loss distance based on 2x ATR(14)."

Portfolio Exposure Monitoring:

"Track my current positions. Alert me if any single position exceeds 10% of portfolio value, or if any sector represents more than 30% of total exposure."

Drawdown Alerts:

"Monitor my portfolio value daily. Alert me if the drawdown from the peak exceeds 5%, 10%, or 15%."

Tutorial 8: Automated Strategy Pipeline

Difficulty: Advanced | Time: 1-2 hours

This is where everything comes together. Build a complete pipeline:

1. Pre-market (8:00 AM): Agent scans for overnight news, earnings reports, and pre-market movers.
2. Market open (9:30 AM): Agent runs gap analysis and updates watchlist scores.
3. Intraday (every 30 min): Agent monitors active positions and watchlist for signal triggers.
4. Market close (4:00 PM): Agent generates end-of-day summary with performance metrics.
5. Evening (8:00 PM): Agent runs full screening suite and prepares next-day watchlist.

Each step is a scheduled task within OpenClaw, chaining skills together in a defined sequence.

Tutorial 9: Performance Tracking and Optimization

Difficulty: Advanced | Time: 30 minutes

Set up automated performance tracking:

• Log every signal: timestamp, ticker, direction, entry price, stop price, target price.
• Log every outcome: actual exit price, holding period, profit/loss.
• Generate weekly reports: win rate, average R-multiple, profit factor, maximum drawdown.

Use this data to refine your strategy parameters. If your RSI threshold of 30 generates too many false signals, try 25. If your holding period of 10 days is too short, test 15. Let the data guide your optimization.

Infrastructure Scaling

As your trading system grows in complexity, you may need to upgrade your server. The Tencent Cloud Lighthouse Special Offer includes higher-tier instances for demanding workloads. The upgrade path is smooth — snapshot your current instance, spin up a larger one, restore, and you're running.

The Complete Learning Path

Tutorial	Level	Key Skill Unlocked
1-3	Beginner	Infrastructure + Data
4-5	Beginner-Intermediate	Alerts + Screening
6	Intermediate	Multi-Indicator Strategies
7	Advanced	Risk Management
8-9	Advanced	Full Automation + Analytics

Don't skip levels. Each tutorial builds muscle memory and confidence that the next one depends on. The traders who succeed with AI-assisted trading are the ones who validated at every step before adding complexity. Start with Tutorial 1 today.