GitHub topics: financial-data-analysis
universalbit-dev/gekko-m4-globular-cluster
gekko-m4-globular-cluster feature-rich [M4 NGC 6121]
Language: JavaScript - Size: 109 MB - Last synced at: 5 days ago - Pushed at: 10 days ago - Stars: 4 - Forks: 3
naphattha/A-Financial-Knowledge-Graph-Construction-from-SET50-Annual-Reports
This project builds a Financial Knowledge Graph from SET50 data, comparing its query efficiency and accuracy with a relational database to enhance complex financial analysis.
Language: Jupyter Notebook - Size: 895 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0
hosseinmoein/DataFrame
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Language: C++ - Size: 45 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 2,681 - Forks: 331
muMAJJI/Trading---CUSUM-FILTER
CUSUM (Cumulative Sum) filter for detecting structural shifts in financial time series, implemented in Python
Language: Jupyter Notebook - Size: 128 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0
Dejatori/ai-powered-software-and-system-design
This project explores AI-powered software and system design concepts, focusing on implementing generative AI techniques and design patterns to enhance software development. It includes practical examples, exercises, and tools to help developers build efficient, scalable, and maintainable systems.
Language: Jupyter Notebook - Size: 64.5 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0
simranjeet97/financial_analysis_python
This repository contains code and videos related to financial data analysis using python.
Language: Jupyter Notebook - Size: 4.16 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 3
mra1993/My-Python-Projects
Various Financial Analysis of Data
Language: Jupyter Notebook - Size: 55.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
alpacahq/pipeline-live
Pipeline Extension for Live Trading
Language: Python - Size: 216 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 207 - Forks: 58
TheTallProgrammer/Stock-Contender-App
Welcome to Stock Contender โ an AI-powered tool designed to assist your market analysis. This tool is not an investment advisor and does not guarantee profits. Invest at your own risk. Stay updated with my latest developments.
Language: Python - Size: 146 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 6 - Forks: 0
ceodaniyal/Automated_Stock_Scanner
Automated Stock Scanner analyzes historical stock data to identify lifetime highs, test support levels, and track price appreciation using Python and Yahoo Finance API. Ideal for traders seeking technical insights. ๐
Language: Python - Size: 3.91 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
jonadiazm/momentum_residual_analysis
Analysis of an investment strategy known as Residual Momentum on the New York Stock Exchange (NYSE) is based on the premise that stock returns exhibit a certain "inertia", which gives rise to the phenomenon known as the "momentum effect".
Language: Jupyter Notebook - Size: 205 KB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
IIT-DM/Fin-Fact
A Benchmark Dataset for Multimodal Scientific Fact Checking
Language: Python - Size: 117 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 13 - Forks: 2
M3GHAN/stock-price-prediction-ARIMA-SARIMA
This repository contains Python code for forecasting stock prices using various time series models. The project utilizes historical stock price data to demonstrate different predictive modeling techniques including Moving Average, ARIMA, and SARIMA.
Language: Jupyter Notebook - Size: 696 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
jmarihawkins/Predicting_Stock_Prices
The purpose of this project is to predict stock prices using historical data and financial indicators with LSTM networks. It involves data extraction, cleaning, model training, and an interactive app for predictions. This tool aids financial analysts, portfolio managers, and investors in making informed decisions.
Language: Jupyter Notebook - Size: 66.6 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1
mpokojovy/CSSC2024
Adaptive Location and Scale Estimation with Kernel Weighted Averages - Technical Appendix and Supplemental R Code for Pokojovy et al (2024) CSSC Paper
Language: R - Size: 6.13 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
prabhupavitra/Data-Visualization-with-R
Data Visualization with R and Python
Language: Jupyter Notebook - Size: 18 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0
AliAramideh/Financial-Analysis-on-Twitter
This repository contains code and datasets for conducting financial analysis on Twitter data. Explore Part 1 for EDA and Part 2 for sentiment analysis. See README for details.
Language: Jupyter Notebook - Size: 1.39 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
eduardoalvarz/Webscraping-Stock-Data-Extraction-and-Visualization
A Jupyter Notebook demonstrating the extraction and visualization of stock data for Tesla and GameStop, crafted for the Python Project for Data Science IBM Certification.
Language: Jupyter Notebook - Size: 200 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
MauererM/profit
Python-Based Return On Investment and Financial Investigation Tool for aggregating and visualizing personal finance accounts and investments
Language: Python - Size: 20.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
lazarospsa/gofin
The `gofin` package includes functions for calculating compound interest, present value, future value, net present value, internal rate of return, and many other financial calculations. These functions are implemented using industry-standard formulas and algorithms, ensuring accurate and reliable results.
Language: Go - Size: 36.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0
shilohfling/SHEF
A Shiny app that is used for visualizing SHEF data from FY 1992-2017.
Language: R - Size: 381 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0
mpokojovy/TS.FIR.finsurv
A Fast Initial Response Approach to Real-Time Financial Surveillance
Language: MATLAB - Size: 28.3 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
mpokojovy/abstract.HJM
The abstract Heath-Jarrow-Morton model: Calibration and forecasting the US daily Treasury yield curve rates
Language: MATLAB - Size: 57.6 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 3
mpokojovy/HJM-Euro
Forecasting the Euro Area Yield Curve Using the Heath-Jarrow-Morton Model
Language: MATLAB - Size: 85 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
financial-data-science/CFDS
A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.
Language: Jupyter Notebook - Size: 44 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 49 - Forks: 22
MMquant/Miscellaneous
Utility routines for financial data analysis
Language: Matlab - Size: 28.3 KB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 6 - Forks: 6
Tommylee1013/FinancialDataAnalysis
2022๋ 1ํ๊ธฐ ๊ธ์ต์์ฅ๋น ๋ฐ์ดํฐ๋ถ์ ๊ฐ์์๋ฃ ๋ฐ jupyter notebook ์ค์ต ํ์ผ
Size: 46.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
PeterSchuld/HKUST-Python_and_Statistics_for_Financial_Analysis
The Hong Kong University of Science and Technology course "Python and Statistics for Financial Analysis" by Prof. Xuhu Wan on Coursera
Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 2
qlero/market_data_extraction_tool ๐ฆ
Script that downloads intraday (past 5 days), daily (past 5 years) and active calls/puts of publicly traded companies.
Language: Python - Size: 38.1 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 1
financial-data-science/CFDS-Notebooks
A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.
Language: Jupyter Notebook - Size: 36.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 15 - Forks: 11
cydalytics/Financial_Data_Analysis
Sample Codes for the Medium Publication "Financial Data Analysis"
Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 21 - Forks: 6
pburkepro/Hull-Tactical-Contest
Repository of all code for Team PESTO's Hull Tactical Prediction Contest Model
Language: Jupyter Notebook - Size: 20.9 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
GitiHubi/CFDS
A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.
Language: Jupyter Notebook - Size: 44.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 6
lionelsamrat10/SAndP500-Stock-Price-Explorer-Web-App
Web scraped S&P 500 Data from Wikipedia using Pandas and performed Exploratory Data Analysis on the data. Then used Yahoo Finance to get the related stock data and displayed them in the form of charts.
Language: Python - Size: 222 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2
empire/go-tse
Go client for http://www.tsetmc.com/
Language: Go - Size: 30.3 KB - Last synced at: 11 months ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0
ilovemyminutes/8thKCBFinanceDataVisualization
'Recommendation of Potential Regions for the Financial Enterprises๐ข' project which won the 1st place in KCB Finance Data Visualization Compeition.
Language: HTML - Size: 5.88 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
