Methodology

How this site sources data and computes numbers — stated transparently.

1. Code computes the numbers

Every return, statistic, and table is computed by a Python script. The language model only writes the narrative around already-computed figures and never estimates or generates a number. An automated check (figure consistency, duplication, gaps) runs before publishing.

2. Data sources

• Decision, fill, and performance logs from a live automated trading system (read-only)
• Public market data (indices, FX, volatility) — source and period stated in each post

3. Performance disclosure

• Returns are shown in percent (%) only; amounts, sizes, and holdings are not disclosed.
• Each analysis states the data period, sample size, and benchmark.
• No real-time "buy now" signals (delayed / educational).

4. Limitations

Backtests and post-hoc analyses can differ from reality due to costs, slippage, and survivorship bias. Past performance does not guarantee future results. This site is not investment advice.