GitHub topics: quantitative-analysis

thinh-vu/vnstock

A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone

Language: Python - Size: 56.6 MB - Last synced at: about 4 hours ago - Pushed at: about 4 hours ago - Stars: 762 - Forks: 173

abhaypaii/risk-analysis-app

This is a web app that takes displays your portfolio assets, performs quantitative risk analysis, and provides your optimal alternatives of portfolio allocation for best risk-return tradeoff

Language: Python - Size: 1.31 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0

polakowo/vectorbt

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

Language: Python - Size: 716 MB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 5,059 - Forks: 685

oldratlee/software-practice-thoughts

📚 🐣 软件实践文集。主题不限，思考讨论有趣有料就好，包含如系统的模型分析/量化分析、开源漫游者指南、软件可靠性设计实践、平台产品的逻辑与执行… 🥤

Language: Jupyter Notebook - Size: 37.9 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 221 - Forks: 42

xLydianSoftware/Qubx

Framework for quantitative simulations and live execution.

Language: Jupyter Notebook - Size: 42.5 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2 - Forks: 2

rweldzius/PSC4375_S2025

Quantitative Methods in the Social Sciences (Spring 2025)

Language: HTML - Size: 53.5 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

man-group/ArcticDB

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

Language: C++ - Size: 137 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1,830 - Forks: 119

InvestAI is an advanced AI-driven platform designed to automate investment strategies. It utilizes machine learning algorithms to analyze financial data, predict market movements, and optimize portfolio management for passive income generation.

Size: 8.38 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 3 - Forks: 1

pauloizquierdo/Quantitative_Genetics

Quantitative Genetics workshop - Innovation Lab for Crop Improvement

Language: HTML - Size: 495 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Heerozh/spectre

GPU-accelerated Factors analysis library and Backtester

Language: Python - Size: 3.35 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 680 - Forks: 114

tzabcoder/QuantitativeFinance

Quantitative finance experiments.

Language: Jupyter Notebook - Size: 7.78 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

HelloThereMatey/Bootleg_Macro

A simple tool-kit written in python for sourcing and displaying macroeconomic and financial data.

Language: Jupyter Notebook - Size: 188 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 16 - Forks: 2

ImGabreuw/python-for-finances

Everything you need to know for quantitative analysis using Python.

Language: Jupyter Notebook - Size: 3.44 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 1

coding-kitties/investing-algorithm-framework

Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.

Language: Python - Size: 4.5 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 405 - Forks: 57

santoshlite/EigenLedger

An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎

Language: Python - Size: 98.2 MB - Last synced at: 8 days ago - Pushed at: 5 months ago - Stars: 993 - Forks: 131

quantbelt/jupyter-quant

A dockerized Jupyter quant research environment.

Language: Dockerfile - Size: 574 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 183 - Forks: 18

BDomzal/magnetstein_x_chemical_reactions

Employing Magnetstein for the analysis of chemical reactions.

Language: Jupyter Notebook - Size: 1.55 GB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

sesto-dev/metatrader5-quant-server-python

Repository for YouTube tutorial on how to run MetaTrader5 + VNC + Python Flask API in a Docker Container on a Linux server.

Language: Python - Size: 2.39 MB - Last synced at: 12 days ago - Pushed at: 4 months ago - Stars: 81 - Forks: 24

LastAncientOne/Stock_Analysis_For_Quant

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

Language: Jupyter Notebook - Size: 278 MB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 1,772 - Forks: 481

ranaroussi/quantstats

Portfolio analytics for quants, written in Python

Language: Python - Size: 2.66 MB - Last synced at: 13 days ago - Pushed at: 21 days ago - Stars: 5,538 - Forks: 966

vansh-codes/Complete-Interview-Preparation-GFG

This repository provides solutions to quizzes, multiple-choice questions (MCQs), and coding problems from the GeeksforGeeks course "Complete Interview Preparation" in C++. The aim is to aid candidates in their technical interview preparation by offering clear and efficient solutions.

Language: C++ - Size: 397 KB - Last synced at: 9 days ago - Pushed at: 16 days ago - Stars: 17 - Forks: 4

srbrettle/Financial-Formulas-Library-.NET-Standard

A collection of methods for solving Finance/Accounting equations, implemented in C#.

Language: C# - Size: 106 KB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 259 - Forks: 71

s1dewalker/Futures-trading

A glimpse of Futures trading. Data Analytics | Quantitative Analysis | Model Development | Risk Management | Wealth Management

Language: Jupyter Notebook - Size: 14 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

joelowj/awesome-algorithmic-trading

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

Size: 15.6 KB - Last synced at: 12 days ago - Pushed at: almost 6 years ago - Stars: 869 - Forks: 168

eafranke/Quant1-Paper-Replication

Academic research paper replication steps, including data and syntax files converted for use in SPSS, developed as teaching resources for Bentley University's Quantitative Analysis I course. These materials were created in my role as a Teaching Assistant under the guidance of Professor Clifton Chow.

Language: Scheme - Size: 10.2 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 1 - Forks: 0

edquant/edh7916

Course materials and website for EDH7916: Contemporary Research in Higher Education

Language: HTML - Size: 103 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 3 - Forks: 1

ssocean/NAIP

This repository contains the official implementation for the AAAI25 paper "From Words to Worth: Newborn Article Impact Prediction with LLM".

Language: Python - Size: 38.8 MB - Last synced at: 27 days ago - Pushed at: 28 days ago - Stars: 33 - Forks: 7

Sujith-DA279/Quant_Financial_Analytics

An in-depth analysis of stock market behaviour for major tech companies (Apple, Google, and NVIDIA) to identify opportunities for trading strategies around earnings announcements

Size: 1.61 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

yujiaxin666/rockphypy

extensive Python library for rock physics modelling

Language: Python - Size: 6.85 MB - Last synced at: 10 days ago - Pushed at: 5 months ago - Stars: 41 - Forks: 14

diogomatoschaves/MyCryptoBot

Open source crypto trading platform to automate trading strategies.

Language: Python - Size: 11.4 MB - Last synced at: 13 days ago - Pushed at: about 1 year ago - Stars: 128 - Forks: 25

oldhero5/energex

Energex is a comprehensive energy derivatives analytics platform that provides data collection, analysis tools, and interactive visualizations for futures trading. Built with Python, it combines efficient data storage using DuckDB with sophisticated analysis capabilities to help traders and analysts make informed decisions.

Language: Python - Size: 2.69 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

by256/imagedataextractor

ImageDataExtractor 2.0 - a Python library for electron microscopy image quantification.

Language: Python - Size: 126 MB - Last synced at: 16 days ago - Pushed at: almost 4 years ago - Stars: 17 - Forks: 2

Aditya-dom/Quantfinance-with-backtesting

Q-finance approaches..

Language: Python - Size: 7.91 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 2

yufongpeng/ChemistryQuantitativeAnalysis.jl

Quantitative analysis of chemicals

Language: Julia - Size: 640 KB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

s1dewalker/Portfolio_Analysis

MPT in Python | Efficient Frontier modeling, Fama French 3 Factor Analysis, Monte Carlo Simulations and Portfolio Risk Analysis (Sharpe, VaR)

Language: Jupyter Notebook - Size: 4.83 MB - Last synced at: 22 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

COPtoLON/Knowledgebase

A collection of information for quantitative finance, insurance, mathematics and AI

Language: R - Size: 38.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 9 - Forks: 0

s1dewalker/Research-Works

Size: 4.57 MB - Last synced at: 22 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

OliverHennhoefer/quant

UNMAINTAINED | R-package providing access to fundamental data and valuation metrics for thousands of publicly traded companies worldwide.

Language: R - Size: 3.98 MB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 2

anondo1969/SHAMSUL

Repository for the journal article 'SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction'

Language: Python - Size: 32 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

TatevKaren/Finance-Projects

Case Studies in Finance: Stock Price Valuation using Black-Scholes using Brownian Motions, Investment Project comparing Stocks and Bonds, Determining Pension Fund's Premium. (Case Study Papers and Code)

Language: MATLAB - Size: 1.82 MB - Last synced at: 12 days ago - Pushed at: about 4 years ago - Stars: 18 - Forks: 2

Okrugnosti/Forex-and-Stock-Python-Trade-Model

Trend trading model in the financial market using machine learning algorithms. The machine learning algorithm predicts the result of the transaction of the base trading model and predicts the price of the next timeframe.

Language: HTML - Size: 350 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 9 - Forks: 5

JordiCorbilla/QuantitativeFinance

Quantitative Finance is a repository dedicated to exploring and understanding key concepts and methodologies in the field of quantitative finance. It delves into topics such as portfolio optimization, financial modeling, risk management, and algorithmic trading

Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: 7 days ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

NirupamKhanal/Quant

Quantitative finance and econometric modelling

Language: Jupyter Notebook - Size: 3.05 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

jcaperella29/Stock_evaluation_python

A Python script to classify companies based on financial metrics like Piotroski F-Score and Stock Valuation, using CSV financial data for analysis and output.

Language: Python - Size: 21.5 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

XilinJia/XJ-Strategist

A powerful machine learning and AI system for constructing sustainable strategies for financial trading.

Language: Julia - Size: 6.49 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 10 - Forks: 4

sumedhsp/Data-Quality-Assessment

Data Quality Index - An Open Source Spark Framework - Big Data Final Project (CS-GY 6513)

Language: Python - Size: 481 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

HeiderJeffer/Evaluating-Rule-Offsetting-Schemes-for-Sustainable-Policy-Growth-in-Modern-Democracies

Research Proposals RP

Language: Jupyter Notebook - Size: 557 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

ColliderConquer/Stock-Prediction-and-Quantitative-Analysis-Based-on-Machine-Learning-Method

This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in China Securities Index 800 Index through the machine method. The investment system pipeline has been implemented including data acquirement, data preprocessing, model tuning and selection based on the XGBoost boosted tree model.

Language: Python - Size: 213 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 71 - Forks: 20

62Quinncpmwc51/Invest

InvestAI is an advanced AI-driven platform designed to automate investment strategies. It utilizes machine learning algorithms to analyze financial data, predict market movements, and optimize portfolio management for passive income generation.

Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

2Islamirozs/Invest

InvestAI is an advanced AI-driven platform designed to automate investment strategies. It utilizes machine learning algorithms to analyze financial data, predict market movements, and optimize portfolio management for passive income generation.

Size: 5.86 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Gabriellacsb/Invest

InvestAI is an advanced AI-driven platform designed to automate investment strategies. It utilizes machine learning algorithms to analyze financial data, predict market movements, and optimize portfolio management for passive income generation.

Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

waterbuffalo13/micromanage

A highly interactive pandas/SQL-driven dashboard that analyses personal data with the aim of optimising daily schedules, as well as producing actionable feedback and insight.

Language: Python - Size: 69.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Sheng254/ml-option-pricing

A machine learning-driven approach for pricing stock options in financial markets.

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

quantmeth/MQR

Méthodes Quantitatives avec R

Language: HTML - Size: 49.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Jebin1999/CreditRiskmodel

A machine learning project for credit risk prediction using the UCI Default of Credit Card Clients dataset. The model predicts whether a client will default on their credit card payment based on their demographic, payment history, and bill statement data.

Language: Jupyter Notebook - Size: 65.4 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

mkearney/quant

Course Website Repo for JOURN 8006: Quantitative Research Methods in Journalism

Language: HTML - Size: 29.1 MB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 13 - Forks: 4

L1ZLe/Quantitative_Electricity

Quantitative Analysis & Trading of the Electricity Market

Language: Python - Size: 27.6 MB - Last synced at: 19 days ago - Pushed at: 5 months ago - Stars: 3 - Forks: 1

tim-hub/SharpStock

A simple python util to calculate sharpe ratio for algorithm backtesting

Language: Python - Size: 15.6 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

saikiranpennam/QuantitativeStudyofPhishing

To examine the quantitative nature of phishing attacks

Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

moranenzo/SAS-Radical-Right-Gender-Gap

This repository contains the analysis code and data used to investigate the "Radical Right Gender Gap" (RRGG) in Europe, focusing on voting patterns by gender for radical right parties in France, Germany, and Italy.

Language: SAS - Size: 1.5 MB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

harpaquant/harpa

Harpa Quant

Language: Python - Size: 2.01 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 2

TommasoBelluzzo/SystemicRisk

A framework for financial systemic risk valuation and analysis.

Language: MATLAB - Size: 86.9 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 157 - Forks: 76

TommasoBelluzzo/InitialMargin

A .NET implementation of Initial Margin models.

Language: C# - Size: 134 KB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 3

TommasoBelluzzo/StrataXL

An Excel integration of OpenGamma Strata.

Language: VBA - Size: 27.4 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 4

iLampard/alphaware

tools for alpha research

Language: Python - Size: 481 KB - Last synced at: 18 days ago - Pushed at: over 7 years ago - Stars: 23 - Forks: 13

paocarvajal1912/Risk_Return_Analysis

Quantitative analysis to select one fund among several, for inclusion in a suite of products for retirement portfolios, using key metrics, visualizations, and diversification considerations.

Language: Jupyter Notebook - Size: 5.17 MB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

maxheltzel/MarketQuant

MarketQuant, created by Max Heltzel at Florida Gulf Coast University, is a flexible framework for building financial analysis tools, strategies, quantitative algorithms, or whatever you envision. I encourage innovation and collaboration—so feel free to contribute!

Language: Python - Size: 193 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

TommasoBelluzzo/HistoricalVolatility

A framework for historical volatility estimation and analysis.

Language: MATLAB - Size: 591 KB - Last synced at: 5 months ago - Pushed at: almost 5 years ago - Stars: 34 - Forks: 16

hassangaber/statarb

Quantitative Investing Dashboard

Language: Jupyter Notebook - Size: 45.2 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

englianhu/ali-zonghui

🚄东方快车，🚄一带一路。分析财务产品盈亏报告、购物篮分析 https://gitee.com/englianhu

Language: R - Size: 1.48 GB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 1

notabombe/Statistical-Arbitrage-in-Cryptocurrencies

The goal of this project is to develop a statistical arbitrage strategy for cryptocurrencies using Python

Language: Python - Size: 39.1 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 6 - Forks: 3

miindisponi99/Statistical-Arbitrage-Emerging-Markets

Built a pairs trading strategy in emerging markets using a rolling Kalman-filter beta and spread half-life, with z-score position sizing, and comprehensive back-testing with liquidity adjustments and transaction cost analysis for enhanced risk management

Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 5 - Forks: 0

blleshi/Quantitative_Analysis_Custom_Portfolio

Quantitative Analysis; Custom Portfolio

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

TommasoBelluzzo/BaselTools

A framework for estimating Basel IV capital requirements.

Language: MATLAB - Size: 3.23 MB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 11

TommasoBelluzzo/HFMRD

A framework for detecting misreported returns in hedge funds.

Language: MATLAB - Size: 243 KB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 16 - Forks: 13

virajvaidya/MACD

Moving Average Convergence Divergence (MACD) computation and visualisation of Australian Stock Exchange Securities

Language: Jupyter Notebook - Size: 978 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Strouck/Bitcoin_TV-GARCH_NLP

Investigating the impact of the sentiment data extracted from Google news on Bitcoin returns using TV-GARCH-X model

Language: Jupyter Notebook - Size: 1.67 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

adi-suresh01/Pairs_Trading_Strategy_1

Developed a quantitative pairs trading strategy between selected stocks in a portfolio.

Language: Jupyter Notebook - Size: 12.8 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

vangiangtran/BWGS

2024 BreedWheat Genomic Selection pipeline

Language: R - Size: 20 MB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 5

agoodquant/qr

Analytic Library in Q

Language: q - Size: 51.8 KB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 4

massimoaria/bibliometrix

An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.

Language: R - Size: 110 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 469 - Forks: 143

sudo-de/MedImagePro-Advanced-Biomedical-Image-Analysis

Biomedical Image Processing involves applying computer algorithms to analyze and enhance medical images, such as X-rays or MRI scans. It aims to extract meaningful information, diagnose diseases, and aid in medical research by employing advanced image analysis techniques and computational tools.

Language: Jupyter Notebook - Size: 79.6 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Santa-Clara-Imaginarium-Lab/student-research-lab-reddit-comment-scraper

For Dr. David Jeong's Research Lab - Summer 2021

Language: JavaScript - Size: 55.8 MB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 2

Stonelemning72/Customer-Behaviour-Analysis

This Python project aims to examine and understand how customer interact with a business, product or a service. This analysis helps organizations make informed decisions, tailor their strategies and enhance customer experiences.

Size: 988 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

virajvaidya/PortfolioOptimisation

Portfolio Optimisation of an ASX20 Portfolio. Covers VaR, EaR, Monte Carlo Simulation, Volatility, Sharpe Ratios etc.

Language: Jupyter Notebook - Size: 5.07 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

Tommylee1013/FinancialMachineLearning

Financial Machine Learning Repository

Language: Python - Size: 165 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 3 - Forks: 2

i-afk/Modeling_Geopolitical_Instability

Modeling Geopolitical Instability Final Project and Updates

Language: Jupyter Notebook - Size: 3.33 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

viniciusthiengo/tenis-shop-app-see

Projeto Android (AppSee) do artigo

Language: Kotlin - Size: 1.23 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

jamilr/portfolio-simulator

A simple portfolio simulator that computes and stamps portfolios' prices while consuming market data

Language: Python - Size: 25.4 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

MIMBCD-UI/dataset-uta4-time

[AVI 2020] UTA4: Time dataset.

Language: CSS - Size: 4.27 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

MIMBCD-UI/dataset-uta4-nasa-tlx

[AVI 2020] UTA4: NASA-TLX dataset.

Language: CSS - Size: 4.3 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

MIMBCD-UI/dataset-uta4-classifications

[AVI 2020] UTA4: Severity (BIRADS) & Pathology Classifications dataset. The work was presented in the Advanced Visual Interfaces conference.

Language: CSS - Size: 4.15 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

FoamoftheSea/mod5project

Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Module 5 Project.

Language: Jupyter Notebook - Size: 36.4 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 32 - Forks: 19

shri4r/CFA-Level-I-Quantitative-Methods-Python-Code

Comprehensive Python solutions for every concept in the CFA Level I Quantitative Methods Book.

Size: 1000 Bytes - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

RJGiannini/Portfolio_Management

Evaluating four new investment options for inclusion in client portfolios. This program helps determine the fund with the most investment potential based on key risk-management metrics: the daily returns, standard deviations, Sharpe ratios, and betas.

Language: Jupyter Notebook - Size: 2.49 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1