News
Latest announcements, releases, and updates from the PyneSys team — synced directly from our Discord announcement channel.
PyneCore v6.6.0 released — PyneCore becomes a platform: data sources, live streaming,…
Plugin system - One pyne.plugin entry-point group with a layered hierarchy — ProviderPlugin -> LiveProviderPlugin -> BrokerPlugin, and CLIPlugin as a parallel axis; capabilities compose via multiple inheritance. Install…
Read more →🎉 Pine Script v5 support is here
PyneComp now compiles Pine Script v5 scripts directly. No manual migration to v6 needed on your end.
Read more →PyneCore v6.5.0 — out now
Our biggest release since the 6.4 line. The core state engine was rewritten end-to-end, so everything runs faster — strategies 18–32% faster, indicators ~21% faster, with identical results.
Read more →Databento OHLCV CSV imports — now supported in PyneCore
PyneCore v6.4.8 ships with native support for Databento OHLCV CSV exports. If you backtest CME futures (MNQ, ES, NQ, GC, CL, …) or US equities from Databento, the import is now a one-liner:
Read more →Pricing Update
We've updated our subscription prices for new members:
Read more →PyneCore v6.4.1 — Bar Magnifier & calc_on_order_fills
Strategy orders now use lower-timeframe sub-bar data to determine the chronological order of intrabar fills. When a bar hits both TP and SL, the magnifier resolves which triggered first using actual LTF candles instead…
Read more →PyneCore v6.4.0 released!
This release adds full request.security() support — multi-symbol and multi-timeframe analysis with true multicore parallelism.
Read more →PyneComp v6.0.26 — Bug Hunting Edition
This release fixes 8 issues that affected valid Pine Script v6 code.
Read more →PyneCore v6.3.7 released!
This release adds OHLCV timeframe aggregation and fixes a broad enum compatibility issue with TradingView.
Read more →PyneCore v6.3.6 released!
Extra Fields Support (#25) — Scripts can now access custom CSV columns beyond OHLCV via lib.extra_fields. Just add extra columns to your CSV and access them as Series[float] with full history indexing.
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