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Technical analysis is probabilistic, not predictive. Signals reflect historical patterns — they do not guarantee future results. Not financial advice.
Claw Street Terminal

Technical Analysis Automation

What if your watchlist checked itself every morning? OpenClaw automates the repetitive parts of technical analysis — scanning, alerting, charting — so you spend your time on decisions, not data gathering.

Free Tools Only 5 Modules No Paid Data Beginner Friendly

What Is Technical Analysis?

Technical analysis is the practice of using a stock's price and volume history to make judgments about where it might go next. Instead of reading earnings reports or company news, technical analysts look at charts — patterns in price movement that have historically repeated.

Common things technical analysts watch:

  • Is the stock trending up or down over the last 50 days?
  • Has it been falling so fast it might be due for a bounce?
  • Are two different trend lines about to cross — which often signals a shift?
  • Is volatility compressing before a big move?

These are the questions technical indicators are designed to help answer.

What Does OpenClaw Automate?

The honest before/after:

Without OpenClaw

Every morning you open your charting platform. You pull up AAPL — check the RSI, check the moving averages, make a note. Then MSFT. Then NVDA. Then 47 more tickers. An hour later you've finished your "quick" morning check. Half the signals you spotted you've already forgotten to write down.

With OpenClaw

OpenClaw runs the scan automatically at 4:15pm every market day. You get one email summarizing every signal that fired across your entire watchlist. Your charts are already generated and waiting in a folder. Morning review: 5 minutes, not 60.

OpenClaw doesn't make trading decisions for you. It handles the mechanical, repetitive parts — so when you do sit down to review, you're working with organized, current information instead of spending all your time gathering it.

The OpenClaw TA Stack

ta-config.yaml
Your Watchlist + Signal Rules
OpenClaw calculates:
RSI · MACD · SMA · Bollinger
Scanner
CSV list
Alerts
Emails
Charts
HTML/PNG

Everything starts from a single config file — `ta-config.yaml`. You define your tickers and thresholds once. Every OpenClaw tool reads from the same file.

The ta-config.yaml File — The Heart of It All

# ta-config.yaml
# This is the only file you need to customize.
# OpenClaw reads it every time any TA tool runs.

# ── Your watchlist ────────────────────────────────────────────────
watchlist:
  tickers:
    - AAPL     # Add any ticker Yahoo Finance supports
    - MSFT     # Stocks, ETFs, crypto (BTC-USD), indices (^SPX)
    - NVDA
    - SPY      # S&P 500 ETF — good benchmark to always include
    - QQQ      # Nasdaq ETF

# ── Which signals to watch for ────────────────────────────────────
signals:
  # RSI thresholds — what counts as "oversold" or "overbought"?
  # Default values of 30/70 are the most widely used
  rsi_oversold:    30   # Alert when RSI drops below this (lower = more extreme)
  rsi_overbought:  70   # Alert when RSI rises above this

  # Moving average crossovers — true = enable, false = ignore
  golden_cross:  true   # 50-day crosses above 200-day (bullish)
  death_cross:   true   # 50-day crosses below 200-day (bearish)

  # MACD crossover
  macd_cross:    true   # Detects momentum shifts

  # Bollinger Band squeeze
  bb_squeeze:    true   # Low volatility before a breakout

# ── Alert delivery settings ───────────────────────────────────────
alerts:
  email: "you@example.com"   # Where to send notifications
  cooldown_hours: 24         # Don't re-alert the same signal for 24 hours
  daily_digest: true         # true = one daily email | false = instant alerts

# ── Scanner settings ──────────────────────────────────────────────
scanner:
  lookback_period: "1y"      # How much history to load (try "6mo" or "2y")
  export_csv: true           # Save scan results to a spreadsheet?
  output_file: "scan_results.csv"

# ── Chart settings ────────────────────────────────────────────────
charts:
  format: "plotly"           # "plotly" = interactive HTML, "matplotlib" = PNG
  period: "6mo"              # How much history to show in each chart
  output_dir: "charts"       # Folder where chart files are saved
  show_sma20: true
  show_sma50: true
  show_sma200: true
  show_bollinger: true
  show_volume: true
  show_rsi: true

# ── Backtesting settings ──────────────────────────────────────────
backtest:
  strategy: "rsi_mean_reversion"
  period: "5y"
  rsi_buy:   30
  rsi_sell:  60
  max_hold:  30

That's it. Every setting in OpenClaw starts here. You don't need to touch Python code — just edit this one file to match your watchlist and thresholds.

The Five Modules

This series is broken into five focused, hands-on parts. Start with Part 1 and move forward at your own pace.

📊
Part 1
Core Indicators
What RSI, MACD, Bollinger Bands, and moving averages actually are — explained in plain English, with OpenClaw showing you how to calculate them.
View Part 1 →
🔍
Part 2
The Scanner
Build a scanner that checks your entire watchlist for signal conditions and produces a ranked daily list of tickers worth reviewing.
View Part 2 →
🔔
Part 3
Signal Alerts
Set up email alerts so OpenClaw notifies you when a golden cross fires, RSI hits an extreme, or MACD flips — with cooldown logic so you're not overwhelmed.
View Part 3 →
📈
Part 4
Backtesting
Test whether your rules actually had an edge historically. Build realistic expectations before using any signal in a real portfolio.
View Part 4 →
🖼️
Part 5
Chart Generation
Generate a complete chart packet for your watchlist every night — candlesticks, indicators, and RSI — saved as interactive HTML files you can open in any browser.
View Part 5 →

What You'll Need

Everything you need is free, open-source, and doesn't require signing up for anything.

Tool What It Does How to Get It
Python 3.8+ Runs the scripts python.org (free)
yfinance Downloads stock price data from Yahoo Finance pip install yfinance
pandas-ta Calculates 130+ technical indicators pip install pandas-ta
pandas Handles data in tables pip install pandas
Plotly Creates interactive charts pip install plotly
PyYAML Reads your ta-config.yaml file pip install pyyaml

Install Everything at Once

pip install yfinance pandas-ta pandas plotly pyyaml tabulate matplotlib

That's it. No API keys, no subscriptions, no sign-ups. All data comes from Yahoo Finance's free public feed.

FAQ

Do I need to know Python to use this?

You don't need to write Python from scratch. The scripts are provided — you just edit ta-config.yaml to customize your watchlist and thresholds. If you want to modify the actual code, basic Python knowledge helps, but it's not required to get started.

Is Yahoo Finance data good enough?

For end-of-day signals and daily chart review, yes. Yahoo Finance OHLCV data is generally accurate for daily timeframes. For intraday signals (minute-by-minute) you'd need a paid source. Most retail technical analysts work with daily data anyway.

Can OpenClaw automatically buy stocks?

No. OpenClaw is a monitoring and alerting framework — it surfaces signals and sends notifications. Execution requires a separate brokerage integration and is intentionally outside the scope of this series. OpenClaw helps you make informed decisions, not automate trading.

How often should I run the scanner?

Once per day, after market close (around 4:15–4:30pm ET), is the right cadence for daily signals. The scheduler config in Part 3 automates this, so you don't have to remember to run it manually.

Start with Part 1: Core Indicators →