A Quantitative Finance Lab. On Your Machine. Run simulations, inspect systems, and explore data in a fully local environment. No dependencies. No external control. Just you and the system.
發行日期:
2026 年 3 月 20 日
開發人員:
發行商:
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Learn by Doing

Safepine Studio is a Linux-native research environment built for learning how structure affects decisions and system design. It enables individuals to explore market behavior through back-testing within fully reproducible workflows. Users begin with curated synthetic data and may optionally load their own CSV files for deeper analysis.

Safepine Studio is strictly a software tool. It does not provide financial advice, manage funds, connect to brokers, execute trades, or automate decisions.

Local Workspace

By default, all functionality runs locally on the user’s machine, with no cloud dependency, no account linkage, and no live execution. Safepine Studio does not require any third-party or online account.

When the application starts, users create a local workspace profile. The username and password are stored only on the user’s computer and are used solely to organize local data and projects within the application.

A System, Not a Static Product

Safepine Studio is designed as a long-term environment rather than a fixed release. Development is ongoing, with improvements driven by real usage, feedback, and evolving research workflows. This is not a snapshot. It is a system in motion.

系統需求

    最低配備:
    • 作業系統: Ubuntu 24.04.5 LTS
    • 處理器: 12th Gen Intel(R) Core(TM) i7-12700F
    • 記憶體: 64 GB 記憶體
    • 顯示卡: NVIDIA GeForce RTX 4070
    • 儲存空間: 250 MB 可用空間
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