Algorithmic trading as a hobby — researching, backtesting and tinkering with systematic strategies. This site shares notes on the tools, strategy research, Python experiments and resources that have shaped how I think about markets. Nothing here is financial advice. Just ongoing curiosity.
What you'll find here
Notes on the platforms I use day-to-day: TradeStation, MultiCharts, TradingView, Hitta Kursvinnare and Python. Comparisons, quirks, tips and workflow ideas.
Coming soon
Research notes on mean-reversion, momentum, breakout, volatility compression and confluence setups. Backtesting findings, walk-forward results, code snippets and links to GitHub.
Coming soon
A searchable catalogue of tested strategies — Sharpe, CAGR, drawdown, win rate and edge-over-time decay bars. Filter by category or status, sort by any metric.
Coming soon
Books worth reading, authors I follow, research sites, broker notes and useful trading links — a curated collection of what's helped me learn. Some book reviews too.
Coming soon
Experiments in Python: data wrangling, chart generation, strategy research scripts and visualisations. Rough edges included — always work in progress.
Coming soon