backtesting-trading-strategies

• Close price & volume
• Relative Strength Index (RSI)
• Stochastic oscillator %K
• Bollinger Bands (20-day, 2 standard deviations)
• Donchian Channels (20-day)
• Williams %R (14-day)
• Fear & Greed Index (alternative.me)
• Derived BUY/HOLD/SELL opinion weighted by indicator reliability and basic pattern detection
• Basic detection of bullish chart patterns (ascending triangle, bullish flag, double bottom, falling wedge, island reversal)
• Volatility-adjusted stop loss, take profit, and trailing stop suggestions (1.5×ATR stop, trailing activates after a 0.5×ATR move and never tightens beyond the initial stop)

1. Install & run

```bash

bun install

bun start --ticker=ABCL,BE,BMNR,CIEN,DLO,DNA,GEV,GLW,GOOGL,INTC,IONQ,OPEN,PLTR,POET,TSLA,UPST --sort=desc

```

Pass any comma-separated list of tickers via --ticker. If omitted, the script exits with an error message. Argument parsing is handled by [commander](https://github.com/tj/commander.js).

To send Slack notifications for tickers that return a BUY or SELL opinion, provide a webhook URL either via the --slack-webhook option or the SLACK_WEBHOOK_URL environment variable:

```bash

SLACK_WEBHOOK_URL=https://hooks.slack.com/services/XXX bun start --ticker=TSLA,PLTR

# or

bun start --ticker=TSLA,PLTR --slack-webhook=https://hooks.slack.com/services/XXX

```

Each Slack message starts with the date, ticker, and opinion followed by bullet-pointed indicator values.

Each run appends data to a file named public/stock_data_YYYYMMDD.csv, with tickers written in alphabetical order by default. Use --sort=desc to write them in reverse order.

A scheduled GitHub Action (.github/workflows/daily-data.yml) executes the script daily and commits new CSV files automatically.