Case study
Weekly $50
Turns a trading course into a calm, rules-based weekly $50 allocation.
Runs locally against personal data, so there's no public demo.
A local web app that decides each week how to split a $50 budget across stocks, ETFs and crypto — using only free data and the transferable risk principles from a trading video.
The problem
The source material taught intraday, leveraged trading — impossible to apply with $50 a week of buy-and-hold and free data. The useful part was the risk thinking, not the tactics.
The approach
- Stored the course's strategy knowledge in SQLite, then mapped each principle to something a weekly allocator can actually do.
- Think in R: every pick gets a −1R stop (2× ATR) and a +4R target; the journal tracks realised R.
- Only assets above their 200-day average with positive 3-month momentum are eligible; weights are inverse-volatility; a market-regime check sits on top.
- Free, key-less data sources only: yfinance, CoinGecko, the Fear & Greed index and news RSS.
The outcome
- Phases 0–5 done: engine, API, dashboard and journal running locally with full history.
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AudioPoesis