financial-analysis

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

💵 AI-powered financial advisor that analyzes personal transaction data, generates insights, and provides personalized financial advice.

Notebooks based on financial machine learning.

notebooks created on pluto

zipline-broker Examples. Full notebooks plus python code for long term investment strategies using zipline based tools.

End-to-end financial text-analysis using Bigdata API and the Bigdata-Research-Tools library. Ready-to-use notebooks with RAG & GenAI enabling thematic and risk screening, trend tracking, and automated report generation, extracting insights at scale.

Two Jupyter Notebooks written in Python, treating of time series analysis with ARIMA and its seasonal counterpart.

An agent-native workspace for quantitative research: an in-terminal notebook, a high-performance time-series database, and a high-throughput backtesting engine. Written in Rust.

This repository contains a collection of Python scripts and Jupyter notebooks for analyzing financial data. Whether you're a data scientist, financial analyst, or just someone interested in finance, you'll find useful tools here to help you make sense of financial data.

A complete financial text analytics pipeline powered by the Bigdata API and Bigdata Research Tools library, featuring notebooks with RAG and GenAI for thematic insights, risk screening, trend analysis, and automated reporting.

Jupyter notebooks on Econophysics and financial data analysis concepts, including price dynamics modeling, portfolio optimization, and various correlation techniques. The notebooks were created as part of the Econophysics course at the UIB.

Python machine learning project analysing historical stock market data using Pandas, NumPy, data visualisation, time-series analysis, and predictive modelling techniques to forecast stock price trends and evaluate model performance across multiple companies.

An example of working with financial data in elixir livebook (similar to jupyter notebooks).

EDA on Bank Loan Case Study

Used SQL in Jupyter Notebooks to analyze and explore data on international debts and codes.

Finance chatbot v1

2022학년도 2학기 금융시장계량분석 수업자료 및 Jupyter Notebook 실습 파일

2022년 1학기 금융시장빅데이터분석 강의자료 및 jupyter notebook 실습 파일

SQL code in Jupyter notebooks for basic banking forecasting scenarios

Financial systems & data engineering — running notebook of ideas and implementation sketches