Safepine Studio
Descrição
Research Environment
Import your own CSV and JSON datasets, run portfolio simulations, and compare return distributions against benchmarks. Explore time series data with configurable filters and time periods. Every experiment is deterministic and reproducible.
Local Workspace
Safepine Studio runs entirely on your machine: only local accounts, no cloud subscriptions, no network dependency, no external data feeds. All data stays local.
Source Available
The product is distributed as source available. The backend computation engine is open source under the LGPL. Users can examine how the system works, modify the open-source components, and extend the tool to fit their own research or teaching needs.
Requisitos do sistema
WINDOWS:
- 64-разрядные процессор и операционная система
- ОС: Windows 10
- Процессор: Intel Core i5 7300U
- Оперативная память: 8 GB ОЗУ
- Видеокарта: Intel HD Graphics 620
- Место на диске: 250 MB
- 64-разрядные процессор и операционная система
LINUX:
- ОС: Ubuntu 24.04.5 LTS
- Процессор: 12th Gen Intel(R) Core(TM) i7-12700F
- Оперативная память: 8 GB ОЗУ
- Место на диске: 250 MB
- ОС: Ubuntu 24.04.5 LTS
- Процессор: 12th Gen Intel(R) Core(TM) i7-12700F
- Оперативная память: 64 GB ОЗУ
- Видеокарта: NVIDIA GeForce RTX 4070
- Место на диске: 250 MB




