基于Python的投资组合/股票小工具,从雅虎财经获取数据,计算不同类型的风险价值(VaR)指标及许多其他(事后)风险/回报特征,涵盖个股和投资组合、独立及基于wxPython构建的基准测试
geometric-brownian-motion 开源项目推荐(76 个)
geometric-brownian-motion 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 76 个仓库A virtual stock market and trading platform. Includes a fully simulated stock market, with dynamic price changes and news events. Simulation models a real calendar with time sped up
Predicting stock prices using Geometric Brownian Motion and the Monte Carlo method
Pricing and Analysis of Financial Derivative by Credit Suisse using Monte Carlo, Geometric Brownian Motion, Heston Model, CIR model, estimating greeks such as delta, gamma etc, Local volatility model incorporated with variance reduction.(For MH4518 Project)
Python code of commonly used stochastic models for Monte-Carlo simulations
Stochastic path simulation, derivatives pricing and risk analytics in Python: Heston, Hull-White, G2++, CIR, Merton, SABR, Monte Carlo pricing, exposure/CVA and backtesting.
A dashboard for helping beginners identify trading opportunities through technical analysis, fundamental analysis, and possible future projections.
A compact coursework repository combining empirical S&P 500 return modelling with binomial-tree and Black-Scholes option pricing, including numerical methods and dynamic hedging.
In this repository, a buy-and-hold investment is studied using Python and a Monte Carlo approach.
Using Finite Element and Finite Difference Methods to Price European Options
Simulate the extrema of a geometric Brownian motion
A collection of numerical implementations for the simulation of well-known stochastic processes on MATLAB.
Monte Carlo generator of geometric brownian motion sample paths for .Net.
Generating a stock's geometric Brownian motion using C# and plot the result.
Stock Portfolio Risk Assessment using Monte Carlo Simulation
Variational quantum simulations of stochastic differential equations
Quantitative Financial Risk Mangement
A package to learn optimal hedges by a deep feed forward neural network, to minimise the terminal error
Generative Models in Commodity Trading
Index prediction across four countries with varying market condition
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/geometric-brownian-motion。
- 该话题在 GitHub 上共有 76 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 378 Star,覆盖 5 种主要语言,数据更新于 2026-11-08。
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