High Conviction Swing Trading
Few positions. Heavy sizing. Full transparency.
There are no promises of returns. This site documents how I trade, manage risk, and evaluate decisions over time.
Most trading education promotes day trading, scalping, and the “trade full-time” mentality - a high-risk approach that is neither realistic nor practical for busy professionals.
Unprofitable traders don’t fail because they lack information. They fail because of unprofitable trading strategies, psychological pitfalls, greed, and lack of discipline.
High Conviction Swing Trading focuses on probability, structure, risk management, selectivity, supported by real trades, real data, and public accountability.
The goal isn’t to trade more - it’s to trade better.
📊 Consistent profitability – Outperforming the market
Results matter — but only when they are repeatable, benchmarked, and transparent.
Over the past several years, my Swing Trading portfolios have consistently outperformed the global equity index, while operating with defined risk and a structured process.
Performance highlights:
- 📈 Multiple consecutive profitable years
- 🌍 Outperformance vs MSCI ACWI (global index) by 10%+ annually
- 🧩 Results achieved across multiple portfolios (equities, options, crypto)
- 🛠 Same core process applied across different market regimes
Outperformance is measured against a passive global index using the same time periods and capital contributions.
🧪 The long-term 25 Year Trading Experiment (2025–2050)
Since January 2025, I’ve been running a public, long-horizon experiment designed to answer one difficult question:
Can a structured Swing Trading strategy outperform passive investing over decades?
How the experiment works:
- Monthly capital contributions
- Active Swing Trading vs passive global index investing
- Public portfolio updates
- Full visibility into drawdowns, volatility, and mistakes
This isn’t about short-term results. It’s about whether the strategy and process holds up over time.
🧠 The approach behind the results
Process over outcome Trades are evaluated by execution quality, not P&L alone.
High-timeframe structure Weekly and monthly context first. Noise reduction is intentional.
Selective participation I trade infrequently. Most opportunities are ignored.
Risk as a design choice Position sizing for high risk and selectivity.
Psychology through structure Rules and tools exist to protect decisions from emotion.
Consistency comes from what you don’t trade just as much as what you do.
🧰 What you’ll find here
- Detailed trade reviews with reasoning and post-analysis
- Market structure and Order Block trading strategy
- Comparisons between equity vs options trading
- Reflections on trading psychology
- Trading tools and public dashboards that enforce discipline
Everything here exists to support high-probability decision-making, not prediction.
🔍 Live trades & full transparency
I share my trades entries, stop-loss and exits live on X, not as trade signals, but to document my decisions in real time.
No hindsight. No edited charts. No cherry-picking.
Every trade is shared live, win or lose.
Transparency isn’t about being right - it’s about being accountable.
These posts exist to show how I think about risk, structure, and execution - not to provide trade recommendations.
→ Follow me on X (Trader Gu) for live trade documentation
👋 Start here
If this way of thinking resonates, start with the same dashboard I use to manage risk and track my public portfolios.
The Trading Dashboard (Free)
This is the actual dashboard I use for:
- the public 25 Year Trading Experiment
- tracking active swing trades
- managing position sizing and risk
You’ll get access by signing up via email.
Prefer real-time commentary and follow my LIVE trades instead? → Follow me on X (Trader Gu)
👤 Who this is for
- Traders aiming for long-term consistency
- People comfortable with uncertainty and drawdowns or eager to learn the process
- Those who value structure over excitement
- Anyone benchmarking themselves honestly against the market
If you’re looking for shortcuts or guaranteed results, this won’t be a fit.
ℹ️ About
I’m Gustav (Trader Gu) — a Swedish engineer and swing trader.
This site is my journal, toolbox, and accountability mechanism. Publishing my process publicly forces clarity, discipline, and intellectual honesty.
⚠️ Disclaimer
Trading involves substantial risk and is not suitable for everyone.
Nothing on this website constitutes financial advice, investment advice, or a recommendation to buy or sell any security.
- Past performance does not guarantee future results
- All examples reflect my personal trading activity
- Markets change, and strategies can fail
- You are responsible for your own decisions and risk management
This site exists to document a process — not to provide predictions or guarantees.
📬 Get in touch
- Twitter/X: Trader Gu