How to find breakouts with Claude or ChatGPT

A breakout is a move beyond a recent price boundary. This scan asks for a close above the highest price of the preceding 20 sessions, with heavier trading.

The rule Monk.trade uses: a close above the prior 20-session high on at least 1.5 times the preceding 20-session average volume, among common stocks averaging at least $20M traded a day over those sessions.

Your app writes this MonkQL from the prompt. Each line does one thing.

1. from stocks

   Scan active US stocks.

2. include type == "common" and sma(close * volume, 20)[1] >= 20000000

   Keep common stocks averaging at least $20M in daily trading value over the preceding 20 sessions.

3. where close > highest(high, 20)[1] and volume >= 1.5 * sma(volume, 20)[1]

   Require a close above the preceding 20-session high and volume at least 1.5 times its preceding 20-session average.

4. show close, highest(high, 20)[1] as prior_high, volume / sma(volume, 20)[1] as vol_ratio

   Show the close, the old high and today’s volume as a multiple of that average.

5. sort vol_ratio desc

   Put the largest volume multiple first.

6. take 5

   Show five stocks.

• 55-day breakouts

  “Using Monk.trade, find closes above the prior 55-session high. Keep common stocks, the $20M trading value floor and at least 1.5 times the preceding 20-session average volume.”

  from stocks
  include type == "common" and sma(close * volume, 20)[1] >= 20000000
  where close > highest(high, 55)[1] and volume >= 1.5 * sma(volume, 20)[1]
  show close, highest(high, 55)[1] as prior_high, volume / sma(volume, 20)[1] as vol_ratio
  sort vol_ratio desc
  take 5
  

• Breakouts near a 52-week high

  “Using Monk.trade, keep 20-session breakouts closing within 5% of their 52-week high. Keep common stocks, the $20M trading value floor and at least 1.5 times average volume.”

  from stocks
  include type == "common" and sma(close * volume, 20)[1] >= 20000000
  where close > highest(high, 20)[1] and volume >= 1.5 * sma(volume, 20)[1] and close >= 0.95 * highest(high, 252)
  show close, highest(high, 20)[1] as prior_high, volume / sma(volume, 20)[1] as vol_ratio
  sort vol_ratio desc
  take 5
  

31 stocks matched; the table shows the first five by volume multiple. Another 23 lacked enough price history. Run 01a17f13-8ed8-7e53-9074-7479d8a29205

• The high and volume averages exclude today, so the new move cannot raise its own comparison.
• Missing price history can leave a stock undecided.
• Prices are adjusted for recorded share splits; company changes can still affect comparisons.
• A close above an old high can reverse on the next session.