+70% Return in 1 Year | How to Build a Trading Business - Lessons from a Top Trader

Key Concepts

• Process-Driven Trading: Success hinges on establishing a repeatable, measurable trading system (“factory”) rather than solely focusing on profits.
• Risk Management: Protecting capital through tight stops and avoiding catastrophic losses is paramount.
• Market Environment Awareness: Adapting strategies to the prevailing market conditions is crucial; cash is a valuable asset in unfavorable environments.
• Theme & Leader Identification: Focusing on leading stocks within strong, identifiable themes maximizes potential gains.
• Continuous Learning & Adaptation: Regularly reviewing trades, identifying lessons, and refining the system are essential for long-term success.

From Entrepreneurship to Trading: Building a System (Part 1)

Steve Macintosh’s trading journey began in the 1990s, inspired by books like Peter Lynch’s One Up On Wall Street, initially focusing on stocks he understood, exemplified by a successful trade in EMC. A 20-year detour building software companies instilled valuable skills transferable to trading: a startup mindset (expecting hardship), the need for repeatable processes, seeking expert advice, and prioritizing simplicity. He emphasizes that trading is a business, requiring a robust system, not just chasing profits. A pivotal lesson came from the Volmageddon event in February 2018, where a significant loss on XIV (a short VIX product) highlighted the importance of risk management and “black swan-proofing” portfolios. He transitioned to swing trading, influenced by traders like Christian Qualagi, Stockby B, Trader Florida, Mark Minervini, and Jim Roel. His current system prioritizes identifying the market environment, focusing on leading stocks within strong themes, and utilizing MarketSmith for fundamental analysis. He achieved a return of over 70% in the 2025 US Investing Championship and was up over 20% in January 2026. Key technical terms include VIX, XIV, Volmageddon, MarketSmith, DeepView, Black Swan Event, Swing Trading, and Position Trading.

Identifying & Trading Leaders: A Systematic Approach (Part 2)

Macintosh’s trading process centers on identifying leading themes and the top 1-3 stocks within them, using DeepView to track fund flows and X (formerly Twitter) for emerging trends. He prefers stocks with a market cap over $1 billion and average daily volume exceeding $50 million. Technical criteria include an Average Daily Range (ADR) between 4-7%, and setups like flat base breakouts, EPS breakouts, and undercut and reclaim patterns. Position sizing starts with 3-5% of capital, adding to winners up to 10-15% (potentially 20-25%). Stop-losses are kept tight, ideally no more than 0.2% of the account, accounting for gap risk. Selling strategies involve trimming profits in thirds over 3-5 days for standard trades, and holding longer for identified leaders. In 2023, he had a 40% win rate with an average winner of +9% and an average loser of -4%, resulting in a 2:1 profit-to-loss ratio and a final gain of +70%.

Navigating Market Dynamics: Moving Averages & Adaptability (Part 3)

The discussion focuses on utilizing moving averages (10-day, 20-day, 50-day) to identify trade exits and manage risk. A break below the 20-day moving average signals a need to reduce or eliminate a position. Trades are given “every chance” to work, but recognizing a change in character is crucial. Trades in Hood, Palantir, and Credo illustrate this, with Credo serving as a cautionary tale about holding too long during a downturn. Coreweave and Nugget exemplify identifying strength during corrections and capitalizing on parabolic moves, respectively. Key lessons for 2026 include selling into strength, avoiding emotional attachment to trades, and recognizing that a lack of traction on new buys signals caution.

Scaling & Refining: Continuous Improvement Through Experience (Part 4)

Macintosh consistently employs a pyramiding/scaling-in strategy, starting small and adding to winning positions. He emphasizes tight risk control, exemplified by a successful trade in BE with minimal initial risk. He highlights the importance of contextual analysis, considering the strength of related stocks within a theme. He’s up 21.5% year-to-date, his strongest start to a year. He’s learning to be less precise with entry points when trends are strong and adapting strategies based on market nuances, as demonstrated by a challenging trade in silver. Continuous feedback and process improvement are central to his approach, learning from both winning and losing trades.

Conclusion:

Steve Macintosh’s success stems from a disciplined, process-driven approach to trading, prioritizing risk management, adapting to market environments, and continuously learning from experience. His methodology emphasizes identifying leading stocks within strong themes, utilizing technical analysis (particularly moving averages), and scaling into positions strategically. The overarching message is that trading is a business requiring a systematic approach, emotional control, and a commitment to ongoing refinement.