Inconclusive · Instruments & watchlist · before 2026-09-26 (committed 2026-09-30)
Early full-universe sweeps (1h? and daily, full history)
What this means
These files show every stock as profitable, but the scraper dropped the minus sign: all 185 and 135 rows with a profit factor below 1 show a positive profit, and no row in either file is negative. So the profit figures are absolute values and the '500/500 profitable' claim is false. The lists picked from these files are unaffected, because every pick had a profit factor above 1. No profit figure from these two files should be cited.
Explanation checked against the data.
By timeframe
| Timeframe | Verdict | n | Result |
|---|---|---|---|
| 15-minute | Not tested: files are corrupted (minus signs dropped); nothing to extend | ||
| 1-hour | Not tested: files are corrupted (minus signs dropped); nothing to extend | ||
| 4-hour | Not tested: files are corrupted (minus signs dropped); nothing to extend | ||
| Daily | Not tested: files are corrupted (minus signs dropped); nothing to extend | ||
- Hypothesis
- Most instruments in the universe are profitable with the strategy.
- Method
- TradingView headline scrapes over 500 symbols (run_tradingview_scraper.py, timeframe not recorded; run_1day_sweep.py, daily). Stop, filters and period not recorded.
- Result
- Files show 500/500 and 495/495 instruments profitable (median PnL +25.5% / +22.3%). But every row with PF < 1 (185 and 135 rows) has a positive PnL: the scraper dropped the minus sign, so these PnL figures are absolute values.
- How much to trust it
- Low: PnL sign bug; settings and period unrecorded
- Did it change the live rule?
- the daily top-40 list and the 80-ticker HarmonicList were picked from these files (their picks all had PF > 1, so the bug did not change them)
- Notes
- Do not cite any PnL from these two files.
Scripts and data for this study will be linked here when the research code is published on GitHub.
Education and research only. Not financial advice. Backtests use today's index members (survivorship bias).