When Story, Fundamentals, and Technicals Align · Julian Komar

Trader Philosophy & Drawdowns

• Identifies as a "trader, not an investor" with holding periods ranging from weeks to months, distinguishing drawdowns as normal market phases rather than portfolio failures.
• States that losing 5 to 7 times in a row is "absolutely normal" while testing market conditions and systems.
• Defines the primary frustration as making emotional execution mistakes rather than enduring drawdowns or sideways markets.
• Emphasizes that the "trader is the biggest enemy," often destroying an edge through emotional errors rather than system flaws.

Trading Background & Evolution

• Based in northern Germany near Hamburg; began trading at age 16, initially using complex German leveraged certificates before shifting to US equities.
• Transitioned from German/European stocks to focusing exclusively on U.S. equities after finding certificates and CFDs too complex for inexperienced traders.
• Leverages a background in media design and product management to analyze the "story" behind companies, focusing on business models and product success drivers.
• Evolved from German markets to a disciplined breakout trading style specializing in momentum and growth stocks over a 20+ year career.

Three-Layer Analysis Framework

• Layer 1 (Technicals): Prioritizes relative strength, volume accumulation, and institutional activity to filter for stocks with high demand.
• Layer 2 (Fundamentals): Analyzes growth metrics, specifically seeking sales growth of 20–40% year-over-year and EPS growth.
• Layer 3 (Story): Investigates the narrative driving sales, market positioning, and future growth potential.
• Cites three distinct stock types: "Cancellers" (high growth + profits, e.g., NVIDIA, Tesla), "Sales Growers" (high sales growth, reinvesting profits, e.g., Zscaler, CrowdStrike), and "Story Stocks" (high hype, potential zero EPS, e.g., Aeva).

Sector Leadership & Stock Selection

• Avoids "lonely survivors" where a single stock rises while sister stocks in the theme fall; prefers sectors with multiple leaders moving in unison.
• Identifies sector leaders via relative strength and volume spikes rather than market cap size.
• Requires "institutional quality" liquidity thresholds: 10–100 million USD daily volume for mature themes, down to 5–10 million for emerging themes like drones.
• Uses MarketWatch screeners and IBD Relative Strength (RS) ratings, filtering for stocks with an RS rating above 90 (outperforming 90% of tracked stocks).

Risk Management & Position Sizing

• Adopts a bottom-up approach with weekly screening routines, typically executing trades on Fridays.
• Adjusts position sizes based on market conditions: 10–15% per position in strong trends, 5–10% in sideways markets.
• Can increase size to 20–25% for high-conviction, liquid leaders (e.g., NVIDIA) if a tight stop loss allows for controlled risk.
• Limits exposure to 3 stocks max within the same theme/industry group to prevent correlation risk.
• In bear markets or high volatility, shifts to cash or short positions via sector ETFs and indices to avoid gap-down risks on individual stocks.

Critical Event: January 2024 DeepSeek Event

• Suffered a 17% portfolio drawdown in a single day due to a gap-down across data center and semiconductor stocks (e.g., Vertiv, Celestica).
• Identified the root cause as excessive concentration in stocks linked to the same underlying theme (AI/data infrastructure) despite different sectors.
• Implemented a rule change to trade maximum three stocks from the same industry group to prevent simultaneous portfolio gaps.

Psychology & Execution

• Acknowledges that self-doubt peaks during flat equity curves or after making mistakes, requiring a "reset" (trading break, journal review, chart book analysis).
• Identifies the "toughest" period as high-performance phases where overconfidence leads to sloppy selection of mediocre setups.
• Uses Bollinger Bands on the equity curve as a technical trigger to reduce leverage and exposure when performance deviates significantly from the mean.
• Defines the "performance zone" as the state where the trader executes 100% of their rules without emotional interference.

Market Trends & AI

• Views AI as a research tool (summarizing business models) but skeptical of its ability to perform discretionary chart pattern analysis currently due to market complexity and pattern morphing.
• Believes market patterns remain human-centric and unlikely to change structure even as AI technology advances.
• Maintains that 90% of traders fail due to an inability to execute their edge, a statistic driven by human psychology rather than a lack of tools or data.
• Asserts that successful traders are often "quiet" and systematic, whereas "loud" traders seeking quick riches typically fail.

Community & Mentorship

• Runs a community and mentoring program (JulianComar.com) focusing on individualized trading styles rather than copying a "one-size-fits-all" system.
• Warns against comparing performance with others on social media, arguing it creates frustration and distorts realistic expectations.
• Encourages traders to develop a "pattern brain" intuition based on 20+ years of experience rather than relying solely on logical or emotional processing.