semvec/pypi-packages huggingface dataset:
finRav 0.4.9
Financial stochastic processes and statistical tools
License: MIT
Requires Python: >=3.9

# FinRav 💹

**FinRav** is an open-source Python library for **quantitative finance** and **statistical modeling**.  
It provides clean, modular tools for simulating stochastic processes and analyzing financial time series.

---

## ✨ Features
- **stoch** — A comprehensive module for simulating stochastic processes,
including Brownian motion, fractional Brownian motion, and other time-series models commonly used in quantitative finance.


- **stats** — A collection of statistical analysis tools for parameter estimation, distribution fitting, 
and evaluating heavy-tailed behavior in financial data


- **monte_carlo** — A flexible Monte Carlo simulation framework for modeling uncertainty, pricing derivatives, 
and analyzing risk under stochastic dynamics.


## ⚙️ Installation
```bash
pip install finRav
```
vnpy_sopt 3.7.1.2
SOPT gateway for vn.py quant trading framework.
License: MIT
Requires Python: >=3.10
Keywords: quant, quantitative, investment, trading, algotrading, ctp

# VeighNa框架的CTP期权（ETF）交易接口

<p align="center">
  <img src ="https://vnpy.oss-cn-shanghai.aliyuncs.com/vnpy-logo.png"/>
</p>

<p align="center">
    <img src ="https://img.shields.io/badge/version-3.7.1.2-blueviolet.svg"/>
    <img src ="https://img.shields.io/badge/platform-windows|linux-yellow.svg"/>
    <img src ="https://img.shields.io/badge/python-3.10|3.11|3.12|3.13-blue.svg" />
    <img src ="https://img.shields.io/github/license/vnpy/vnpy.svg?color=orange"/>
</p>

## 说明

基于CTP期权版的3.7.0接口封装开发，接口中自带的是【穿透式实盘环境】的dll文件。

## 安装

安装环境推荐基于4.0.0版本以上的【[**VeighNa Studio**](https://www.vnpy.com)】。

直接使用pip命令：

```
pip install vnpy_sopt
```


或者下载源代码后，解压后在cmd中运行：

```
pip install .
```

使用源代码安装时需要进行C++编译，因此在执行上述命令之前请确保已经安装了【Visual Studio（Windows）】或者【GCC（Linux）】编译器。

如果需要以**开发模式**安装到当前Python环境，可以使用下述命令：

```
pip install -e . --no-build-isolation --config-settings=build-dir=.\vnpy_sopt\api
```


## 使用

以脚本方式启动（script/run.py）：

```
from vnpy.event import EventEngine
from vnpy.trader.engine import MainEngine
from vnpy.trader.ui import MainWindow, create_qapp

from vnpy_sopt import SoptGateway


def main():
    """主入口函数"""
    qapp = create_qapp()

    event_engine = EventEngine()
    main_engine = MainEngine(event_engine)
    main_engine.add_gateway(SoptGateway)
    
    main_window = MainWindow(main_engine, event_engine)
    main_window.showMaximized()

    qapp.exec()


if __name__ == "__main__":
    main()
```
webclone-backend 1.0.0
Professional Python backend framework for web cloning projects
License: MIT
Requires Python: >=3.8

# WebClone Backend

Professional Python backend framework for web cloning projects.

## Features

- 🚀 Fast API Server (FastAPI)
- 💾 Database Management (SQLAlchemy)
- 🔐 Authentication & Authorization (JWT)
- 📁 File Management
- 🖼️ Image Processing
- 💨 Caching System
- ✅ Data Validation
- 📝 Logging

## Installation

```bash
pip install webclone-backend
```

## Quick Start

```python
from webclone_backend import WebCloneBackend, Database

# Create app
app = WebCloneBackend()

# Setup database
db = Database('sqlite:///myapp.db')

# Create route
@app.app.get('/')
async def home():
    return {'message': 'Hello World!'}

# Run server
app.run(port=8000)
```

## Documentation

Full documentation: https://webclone-backend.readthedocs.io

## License

MIT License