Breakouts, Home Runs & Exponential Returns · Kristjan Kullamägi

Background & evolution as a trader

• Started investing (2010) and began full-time trading (2011) with about $5,000, while working part-time as a security guard.
• In his first couple of years, he blew up 3–4 times—at times losing most of his life savings. Each blow-up forced learning and gradual improvement.
• His early trading was primarily day trading (in part because social media favored that style). He initially had no system and didn’t understand essentials like:
  • stop losses
  • position sizing
  • profit taking
  • often going “all in”, which made trading extremely stressful.
• Around 2013, he shifted toward swing trading after realizing major market moves often take weeks to months. This offered:
  • better risk/reward
  • less constant monitoring
  • more scalability than illiquid micro/small-cap day trading

How he finds and builds confidence in setups

He attributes breakout ideas to:

• a strategy from “stockpi”
• a book by William O’Neil: How to Make Money in Stocks

His confidence-building process includes:

• Scanning through all US stocks with charting software.
• Building a large “database” of examples (screenshots/notes) to compare:
  • what a “good” breakout looks like at the start
  • how the stock behaves weeks/months later

Overall, his edge is framed as:

• pattern recognition, reinforced by repeated historical behavior over long time periods

Core strategy: daily breakout of “stair-step” stocks

His main method focuses on a daily timeframe breakout (with optional intraday 60-minute “zoom” for context).

He describes many strong uptrending stocks as moving in “stair steps”:

• a leg higher
• sideways movement / pullbacks
• contracting volatility
• a next step higher

Goal: identify the stock as it breaks into the next step to capture momentum bursts.

He also emphasizes that momentum tends to work best in:

• mid/large caps with liquidity
• not hype-driven micro/small-cap pumps

Trade management, entries, and exits

Entries

• He’s aggressive on entries: he buys the breakout “all at once” rather than slowly scaling in.

Stops and timing

Stops are tied to specific intraday reference points:

• often using opening range highs from 1-minute, 5-minute, or 60-minute contexts (depending on when the breakout becomes “obvious”)
• the stop is generally linked to the lowest of the day (or the relevant intraday low used for stop placement)

He notes that being stopped out quickly is common:

• win rates cited: about 35% (last year) and 25% (2019)
• failure can happen even within minutes
• re-entry can happen quickly if the stock regains the highs

Position management

Once trends develop, he uses trailing stops based on 10-day or 20-day moving averages after they “catch up.”

He differentiates between:

• an absolute stop (exit no matter what)
• a trailing stop (evaluated at the market close, because intraday violations are common and can reverse)

He also sells part of the position early to reduce stress, such as:

• selling 20–25% into the first momentum burst

This helps avoid holding unprotected through major catalysts like earnings, unless profit buffers are strong enough.

Stock selection & market regime

Screening process

• He scans for the strongest stocks (top ~2%) across multiple lookback windows:
  • 1, 3, 6, 12, 18 months
• He applies liquidity filters (e.g., volume cutoffs), with thresholds that can vary based on:
  • the period
  • the account size

What he looks for

Key selection traits include:

• strong absolute and relative momentum
• orderly pullbacks/consolidations (“linearity”)
• behavior around 10/20-day moving averages (bounce or higher lows above them)
• stocks that hold up during market corrections (relative strength when the broader market dips)

Regime dependence

• Breakout swing methods work best in uptrending or sideways environments.
• In falling/bear regimes, he suggests breakouts become less reliable, and sometimes shifting toward:
  • cash
  • smaller size

Risk philosophy and scaling up

• He scales risk as the account grows: when his account doubles, he eventually doubles position sizing/risk (with some lag).
• He treats leverage/margin as something to “deserve”, not use automatically. He warns margin can become a trap if results aren’t stable.
• He doesn’t impose a strict maximum number of open positions, but notes practical limits:
  • 15–20 ideally
  • up to 30 positions at times during strong bull runs (tracking becomes harder)

Performance style: “home run” trading

He endorses a low win rate, high payoff approach:

• most gains come from a relatively small subset of winners
• he suggests winners might be around 15–20% of trades

He calls himself a “home run trader”, focused on catching the biggest moves rather than maximizing win rate.

Personal challenges and what still goes wrong

His main ongoing issues:

1. Overtrading (he describes it as addiction-like even when he “shouldn’t”).
2. Overriding his own sell rules, especially in strong bull markets where everything feels stretched—leading to exits that may be too early or otherwise deviating from the trailing-stop approach.

He says he’s historically been better at accepting losses than many traders, but:

• his exit behavior is still where performance leaks occur.

Why he believes his success is rare

He argues most traders fail because they:

• rely on too many indicators instead of what price/action is actually doing
• get pulled by outside opinions (news/media/TV fear or hype)
• don’t study thousands of examples to understand setup variations and how the broader market changes outcomes

He also highlights scaling issues:

• many traders keep the same position size for years and never fully scale as their account grows.

Lifestyle change

Despite major trading success, he says his status didn’t dramatically change. Instead, his time and interests shifted:

• he spends weekends playing computer games instead of endless market study.

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Presenters / contributors

• Aaron Field (podcast host)
• Christian Kullamägi (guest)