VWMA with kNN Machine Learning: MFI/ADX
Verifiedbit-exact
VWMA with kNN Machine Learning: MFI/ADX by lastguru, a Pine Script v4 strategy, converted with PyneComp and run with PyneCore on BINANCE:BTCUSDT 30m: 59,378 plotted values compared with TradingView, every one bit-identical; all 198 trades match TradingView's entry and exit timing.
Accuracy
- Trades compared198 TV / 198 Pyne
- Whole-trade match100%
- Entry timing match100%
- Exit timing match100%
- Net profit (TV / Pyne)-40,231 / -40,231
- Plots compared2
- Plotted values compared59,378
- Identical to the bit100%
- Worst gapsame double
- Transcendentals on the pathpow
- Pearson correlation (min)1.000000
Run
- Bars executed29,704
- Run time16.60 s CPU
- Per-bar time0.56 ms/bar CPU (per chart bar)
Data window
- SymbolBINANCE:BTCUSDT
- Timeframe30 min
- From2025-01-01 00:00
- To2026-09-11 19:30
- Bars29,704
Source
- Pine versionv4, converted to v6 by PyneComp
- Script revisionv3
- LicenseMPL-2.0
SHA-256e40b72ee877aa618324aae9b1872860d58c9e877e8a184f8a2a6c2dd452717c3
Measured 2026-09-27 · How this is measured · All scripts