# Long-Term Memory

- Workspace `t1` is a CYB50 30-minute quant research project centered on T+1 trading and market-environment filtering.
- The repo currently has weak structure: research scripts, production-like reporting scripts, generated CSVs, and exploratory outputs all live in the root directory.
- There is a notable encoding/mojibake problem in several Python files, which will make future maintenance and rule verification error-prone.
- The core strategy pipeline remains: dual-direction base signals and execution, then long-only extraction, T+1 conversion, environment labeling, and a higher-level scoring/filtering layer for final backtests and reports.
- Active optimization work now lives in sibling workspace `t2`, while `t1` remains the untouched baseline.
- The current research target is to map the raw 30-minute T1 strategy's “comfort zones” and “dark zones” using higher-level indicators such as daily and weekly context, then turn those maps into explicit optimization rules.